Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

As a Data Scientist/MLE at IAS, you will be part of a team that is a center of innovation for the company and a major contributor to the company's core products. The Lead Data Scientist will work on challenging technical problems in brand safety, developing and pushing out ML/DL models at scale that classify brand unsafe material for multiple modalities across the digital ecosystem. The types of challenges we solve have attracted people from industry and academia with diverse backgrounds, including machine learning, computer science, finance, physics, biology, neuroscience, and economics. We're passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table.

The ideal candidate has a track record of delivering deep learning based models at scale, enjoys working with cross functional partners from Product and Engineering delivering solutions within strict timelines, and brings innovative solutions to complex problems with a desire to improve the status quo. Additionally, as an early member of our Dublin location, you will also have the opportunity to help build the team from the ground up and shape the office culture.

What you’ll get to do:

• Scope work and projects in the realm of machine learning, focusing on deep learning applications in image/video classification.
• Work with a variety of data sources to build production-ready ML models
• Apply machine learning to novel problems in online advertising 
• Collaborate with engineers to integrate solutions within larger engineering workflows 
• Effectively communicate results from ML/DL models and statistical learnings to a variety of stakeholders within R&D and product organizations
  
  

What you’ll need:

• Advanced degree (MSc, PhD preferred) in a relevant technical field (machine learning, computer science, computer vision, etc)
• Solid research background and experience in computer vision, machine learning, and image/video analysis algorithms.
• 7+ years industry experience, with technical leadership, and experience guiding ML projects from start to finish
• Experience with at least one scripting language such as Python and with deep learning frameworks (tensorflow, pytorch, caffe, etc)
• Familiarity with relational databases and SQL
• Experience with source control workflows and deploying ML models in production
• Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• Experience distilling product requirements into problem definitions, dealing with ambiguity and competing objectives
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

What puts you over the top:

• Practical experience with image/video classification, object detection, speech recognition, machine translation, and similar problems. 
• Publication record in deep learning / neural networks or adjacent fields 
• Experience working with distributed computing tools (Hadoop, Spark, Hive, etc.) and cloud platforms (AWS, GCP)

About Integral Ad Science

Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com.

To learn more about us, please visithttp://integralads.com/ 

Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.

#LI-Hybrid

Overview

About the Role

Are you excited about cutting-edge distributed systems, data technologies, ML infrastructure, and scalable designs?  Are you inspired by delivering concrete impact to tens of millions of users and partners, while solving some of the toughest technical challenges in a 4-sided marketplace?  Are you passionate about mentoring and growing engineering talent, while instilling and fostering a principled engineering culture?  If so, we have a job for you!  The Ads Engineering team is looking for a seasoned engineering leader to act as the Area Tech Lead of Infrastructure and Systems, reporting directly to the Ads VP of Engineering.  In this role, you will directly contribute to the team’s myriad infrastructure/system innovations, both as an Individual Contributor and as a Tech Lead.  You will lead the team to design a next-generation serving and quality stack that supports the business’ broadening growth.  You will partner with Eng and PM Directors to prioritize and support all product needs.  You will develop company-defining collaborations with other engineering teams across Instacart.  You will grow and mentor engineers, and contribute to shaping engineering culture not only for Ads but for all of Instacart Engineering.

About the Team

The Ads Engineering team builds E2E, full-stack systems to power Instacart’s industry-leading ads innovations in digital ads’ top growing channel - Retail Media.  As a fast-growing, critical piece of Instacart’s overall business, the Ads Engineering team strives to both meet and support our advertiser partners for their needs today, while also challenging the status quo to push forward next-generation technologies.  The team consists of a broad spectrum of engineers across all levels, with expertise ranging from backend infrastructure to data engineering to machine learning to frontend technologies and more.

About the Job 

• Leads, solves, and builds system innovations to solve some of the most challenging and interesting technical problems.  Some examples:
• ads serving and indexing systems with rigorous scaling, availability, and latency constraints, that can scale horizontally to billions of product items,
• infrastructure to rank heterogeneous content with cutting-edge ML models,
• data systems and products that process and move billions of events every day, and that power not just Instacart but hundreds of other retailer partners, and
• workflow orchestration that advances the state of the art in scale, correctness, and developer velocity.
• Establishes Ads’ tech strategy and roadmap, balancing between both short-term needs and long-term sustainability.
• Demonstrates ability to architect and design complex systems, considering scalability, reliability, performance, and security.
• Serves as a technical leader and mentor, guiding and empowering junior engineers through code and design reviews, knowledge sharing, collaborative problem-solving, improving key engineering processes, and fostering a thriving engineering culture.
• Grows and mentors engineering talent; identifies and develops the next set of leaders.
• Builds and maintains synergies with other engineering teams across Instacart; acts as a bridge to represent Ads in company-wide engineering forums and activities.
• Contributes to company-level tech initiatives as one of the company’s most senior engineering leaders.
• Note this is a hands-on IC / TL role at the Director+ level.  There are no people management expectations.

About You

Minimum Qualifications

• 10+ years of experience building and leading systems engineering.
• Deep expertise in infrastructure and systems technologies.
• Proficiency in one or more relevant systems programming languages (e.g., Go, Rust or C++) and application programming languages (eg: Python or Ruby).
• Ability to effectively communicate and collaborate at the most senior engineering levels.
• Proven track record of growing engineering culture and talent.

Preferred Qualifications

• Experience and expertise with data engineering, ML infrastructure, large-scale distributed systems, and/or Ads technologies.
• Experience with scalable, customizable service architectures.
• Familiar with AWS, Golang, Spark, Clickhouse, Snowflake, TensorFlow.

Your impact

At Handshake, we are assembling a diverse team of dynamic engineers who are passionate about creating high-quality, impactful products. As an ML Infrastructure Engineer, you will play a key role in driving the architecture, implementation, and evolution of our rapidly growing Machine Learning platform. Your technical expertise and leadership will be instrumental in helping millions of students discover meaningful careers, irrespective of their educational background, network, or financial resources.

Our primary focus is on building scalable ML infrastructure that empowers our Machine Learning and Relevance teams to iterate quickly and rapidly deploy ML solutions into various surfaces in our product stack.

Your experience

• Strong software engineering foundations:Experience with object-oriented and functional programming languages in production (Python, Golang), software design patterns, testing strategies and dev/ops practices (CI/CD). 
• Cloud platform expertise: Hands-on experience with cloud-based technologies. This includes tools like BigQuery, Cloud Storage, infrastructure-as-code tooling (Terraform) and an ML stack (Vertex, SageMaker, Ray, or similar) for handling machine learning workflows.
• ML aptitude:Experience building product features with ML frameworks like Scikit-Learn, PyTorch, TensorFlow and big data tooling like Spark.
• Problem-solving prowess: Outstanding problem-solving skills, with the ability to navigate complex machine learning infrastructure challenges and propose innovative, effective solutions.
• Teamwork oriented: A collaborative approach to work, coupled with the ability to communicate complex machine learning concepts effectively to both technical and non-technical stakeholders, and take input from Relevance stakeholders to guide implementation details.

Bonus areas of expertise

• ML infrastructure experience: Experience designing, implementing, and managing components of production ML infrastructure including:
  • • Real-time/batch ML model prediction and inference
    • Cluster management and deployment, deployment of GPU based training jobs
    • Familiarity with vector search tooling (Elasticsearch, Pinecone, etc…)
    • Creating or developing Feature Store components (offline/online stores and feature registry technologies)
    • Building ML search or ML recommendations systems
• Containerization and orchestration: Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes.
• Generative AI (LLMs): Familiarity working with large language models such as ChatGPT, LLaMa, or Bard for text generation and Natural Language Processing (NLP) tasks.
• Streaming data processing: Experience with streaming data processing platforms such as Apache Beam or Apache Flink 

Compensation range

$150,000-$190,000

Overview

About the Role:As a Staff Machine Learning Engineer, you will utilize your extensive technical knowledge to address and solve critical, complex issues in our marketplace systems. You will apply machine learning to create and optimize solutions in impactful areas such as routing optimization, pricing, dispatch and mapping. You will be at the forefront of initiatives, overseeing them from the initial concept stage all the way through to prototyping and implementation, in addition to conducting experiments.

About the Team:The Logistics & ML group is responsible for the intelligence and execution behind Instacart’s fulfillment system. The team optimizes a multi-sided marketplace to ensure customers get their orders on-time and in high quality, shoppers get efficient and fulfilling work, and retailers and consumer brands get reasonable business. The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial, as well as foundational problems executing on a high throughput system with dynamic data.

About the Job:

• Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.
• Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
• Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
• Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.

About You

Minimum Qualifications:

• Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience 
• Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
• Have strong analytical skills and problem-solving ability
• Are a strong communicator who can collaborate with diverse stakeholders across all levels

Preferred Qualifications:

• Have 6+ years of industry experience using machine learning to solve real-world problems with large datasets
• Knowledge of deep learning frameworks and methodologies
• Experience in applying machine learning and optimization techniques to solve marketplace problems
• Proven track record as a tech lead or team leader, managing and driving forward complex, cross-functional initiatives involving multiple stakeholders

Overview

About the Role 

You will be joining a dynamic team consisting of manual and automation test engineers working on cutting-edge technology. You will be instrumental in building and maintaining automation frameworks across all of our products. You will be Identifying a variety of automation tools and evaluating which brings the most value for our products not only from a software perspective but also from a hardware perspective. You will be a key player in laying down our foundational building blocks to increase our automation coverage and streamline our continuous integration process to achieve quicker release cycles. You will establish best practices and standards throughout our QA department. You will closely collaborate, actively participate, and have a voice on our team to ensure our products are delivered with the highest quality possible.

About the Team 

Caper is one of the critical pillars of Instacart’s new Connected Store technology. Caper offers smart shopping carts powered by deep learning and computer vision to enable a seamless grab-and-go retail experience.

About the Job 

• Spearhead the development of automated functional integration tests and E2E tests across all our products utilizing open-source test frameworks.
• A Hands-on self-motivated engineer capable of working collaboratively in building a continuous integration environment. 
• Perform complex database queries and manipulations for test, staging, etc.
• Perform functional, regression, integration, smoke, E2E, load and performance testing.
• Assist with manual testing as needed.
• Develop trained data, test data, and model validations for machine learning tests.
• Will work closely with engineering, product management, cross-department partner teams within an Agile environment using JIRA as our backbone for collaboration.
• Be a strong voice of reason exercising clear judgment making data-informed decisions in order to improve and maintain the utmost quality within our products.
• Daily “bug hunting” – always on the lookout for defects, usability improvements, cosmetic “eye sores”, etc. and properly track them for resolution.

About You

Minimum Qualifications

• Bachelor’s degree in Computer Science or equivalent experience.
• 5+ years of working as a SDET/SDE, with 3+ years in a leading role and/or independent contributor.
• Minimum 3-year experience with automation tools such as Appium, Expresso Selenium, Selendroid (or similar for Android app test automation).
• Minimum 3-year experience with IntelliJ, TestNG, and Jenkins.
• Must have built an automation framework from scratch.
• Experience programming with Java,  Python, shell and/or C++.
• Experience interacting with RESTful API and skilled in Rest Assured, Postman (or similar)
• Experience with System Design.
• Experience working with MongoDB and MySQL.
• Solid understanding of GIT.
• Strong analytical skills, self-motivation, attention to detail and leadership ability.

Preferred Qualifications

• Experience automating tests for android applications, Web Applications & Services.
• Experience in establishing and maintaining full CI/CD pipelines.
• Experience with Gitlab.
• Knowledge of basic software engineering practices surrounding coding standards, code reviews, source control management, build process, and test.
• Experience with AI and ML test principles and strategies.
• Exposure to GCP and microservices.
• Familiar with JIRA and TestRail.
• Highly effective communication, both oral and written.

Overview

About the Role - We are seeking a Shopper Product Manager to own the vision and execution of how we give shoppers and customers fair and efficient resolutions when orders do not go to plan. You will own the customer experiences, intelligent systems, and supporting workflows that allow us to act on customer order issues and optimize appeasement and refund spend each year. 

About the Team -The Shopper Team provides high quality, fast, and reliable fulfillment for Customers, creates competitive and reliable earnings opportunities for Shoppers, and enables omni-channel, flexible and efficient fulfillment services for our retail partners. We work closely with engineering, machine learning, operations, design data science, research and cross functional teams across the company, to deliver a growing range of high quality products and solutions. 

About the Job 

• Lead a cross-functional team of engineering, machine learning, data science, operations, design, research, marketing, and more
• Drive product definition, strategy, and long term vision for initiatives across shoppers, customers and retailers
• Identify the biggest problems and drive new feature development from start to finish
• Run user research, usability studies, data-driven experiments to inform product direction
• Work closely with Customer Support org to improve the support experience across our marketplace
• Partner with Engineering, Machine Learning, Design and Data Science teams to build, experiment, iterate and launch product features and optimization models that can strike the right balance between efficiency and user experience in key areas such as chat automation and appeasements
• Consistently integrate behavior data and customer feedback into key product decisions
• Communicate product plans, benefits and results to all audiences - within teams, company, to users, press etc.

About You

Minimum Qualifications

• Proven track record of delivering impactful consumer products, leveraging data and user experience considerations
• Demonstrated ability to solve complex problems involving nuanced tradeoffs by crafting data informed solutions and thinking from first principles
• Experience partnering deeply with partners across different functions such as Operations, Machine Learning and Business Development
• Demonstrated ability to balance short term execution with long term strategy

Preferred Qualifications

• Experience in ecommerce or marketplaces
• Experience partnering with ML, leveraging LLMs
• Experience in building and executing on multi-year strategy

Grammarly is excited to offer aremote-first hybrid working model. Grammarly team members in this role must be based in Germany, and, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The opportunity 

To achieve our ambitious objectives, we are seeking an Engineering Manager to lead, scale, mentor, and drive our Data Engineering Team. This individual will be responsible for guiding a skilled team of software engineers who are focused on constructing analytical data models, pipelines, and innovative tools. They will collaborate with various teams across the company.

This person will be an integral part of the larger data organization, reporting directly to the Director of Data Engineering based in the US, and they’ll have the opportunity to influence decisions and the direction of our overall data platform, including infrastructure and analytics engineering.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As the Manager of the Data Engineering team, you will co-own the company-wide data lake and set the vision for data schemas, analytical tooling, and pipelines. Our cutting-edge data lake is the central hub for all data producers and consumers, and your impact will span all of Grammarly.

Data engineers make disparate data centrally available to Grammarly’s team members while ensuring query efficiency and efficacy. Your team will support all of Grammarly’s functions to help us successfully operate three lines of business: individual consumers, enterprise, and Grammarly’’s developer platform. Communication, stakeholder management, and a passion for data will be the backbone of Grammarly’s Data Engineering Manager’s success.

In this role, you will:

• Build a highly specialized engineering team to support the growing needs and complexity of our product and business organizations. 
• Oversee the maintenance and enhancement of our data lake, ensuring it meets the needs of all data producers and consumers.
• Drive the implementation of robust data pipelines to ensure data is accurate, accessible, and up-to-date.
• Foster a collaborative and high-performance culture within the team.
• Set technical vision for the team and ensure the scalability, low cost, low latency, and versatility of our internal analytics platform.
• Provide hands-on guidance in coding, design, and debugging to ensure high-quality technical solutions.
• Build strong relationships with all of Grammarly’s functions to generalize data needs and guide the roadmaps of our internal platforms.
• Work closely with partner teams, including Data Science, ML, and Analytics Engineering, to align priorities and deliver integrated solutions.
• Stay up-to-date with industry trends and best practices in data engineering, fostering a culture of continuous improvement and innovation.
• Cultivate an ownership mindset and culture on your team and across product teams: provide the necessary metrics to help us understand what is working, what is not, and how to fix it.
• Set high performance and quality standards and coach team members to meet them; mentor and grow junior and senior IC talent.

Qualifications

• Has 7+ years of experience in data engineering, with at least 3 years in a leadership or managerial role.
• Fluent in data engineering technologies and languages like SQL, Python, Spark, and data pipeline frameworks.
• Demonstrates ability to lead and mentor a team. Strong project management skills and a track record of delivering complex projects.
• Has excellent analytical and problem-solving skills. Ability to dive deep into technical issues and provide effective solutions.
• Is able to guide the team to build optimal data models and efficiently utilize our data infrastructure.
• Has strong communication and interpersonal skills. Experience working in a collaborative, cross-functional environment, including with remote teams.
• Has the ability and desire to operate in a fast-paced, dynamic environment where things change quickly.
• Leads by setting well-understood goals and sharing the appropriate level of context for maximum autonomy but is also deeply technical and can dive in to help when necessary.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
• Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.

Support for you, professionally and personally

• Professional growth:We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback.
• A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs. 
• Comprehensive benefits for candidates based in Germany:Grammarly offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more.

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply. Grammarly is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age.

For more details about the personal data Grammarly collects during the recruitment process, for what purposes, and how you can address your rights, please see the Grammarly Data Privacy Notice for Candidates here. 

#LI-AD3

About the Role:

Gusto is seeking a Senior Engineering Leader to drive and execute the cross-functional strategy for our User-Facing Reporting and Analytics team. In this role, you will be responsible for managing user reporting, analytics, and providing users with the data they need in the format they require across the platform.

About the Team:

This team plays a critical role in ensuring the ease of use, efficiency and quality of data, reports rendered to meet customer needs. Their primary focus is on designing, implementing, and maintaining a robust reporting platform.

Here’s what you’ll do day-to-day:

• Lead Gusto’s Reporting engineering team, including the recruitment, hiring, and empowerment of a world-class team
• In this position, you will be responsible for building scalable user facing reports and dashboard platform while  maintaining our data infrastructure, ensuring data quality, integrity, and accuracy
• You will work cross-functionally with engineering, product, design, and stakeholder teams to lead various initiatives to advance our data and reporting solutions
• You will leverage our data to identify key insights and create operational efficiencies, as well as produce accurate and meaningful analysis to drive business decisions
• Build, develop, and maintain data models, automated reports, and dashboards using BI/Dashboarding tools such as PowerBI, ServiceNow, Tableau, and Salesforce
• Meet with stakeholders from business and engineering to understand OKR requirements and convert them into analytical solutions
• Analyze datasets to discover meaningful patterns, trends, and relationships to improve operational and productivity across our organization
• Refine, enhance, and automate processes and reports by managing tables/views and data pipelines
• Responsible for driving the development of product and core platform in a fast paced, start-up environment
• Providing technical leadership in defining the product and platform solutions
• Understand customer pain points, devise solutions, and then iterate through prototyping and frequent, successful product launches.
• Work cross functionally with design leadership and product management leadership to build and drive Gusto’s access and workflow product vision and strategy
• Empowering a team of senior engineers, operating in architects capacity and also engineering people empowerers (managers, creating alignment, clarity, high morale, driving quick but informed decision making, and helping them get unblocked

Here’s what we're looking for:

• 10+ years of software engineering experience
• 5+ years of managing highly distributed engineering teams, and at least 2 years leading other engineering managers 
• 6+ years of experience working with analytical tools and languages such as SQL,PowerBI/Tableau, Suplari, Coupa Analytics or Databricks
• Experience with ELT data modeling and building analytical narratives using data visualizations
• Experience with MLOps tooling such as KubeFlow, AWS Sagemaker, MLFlow, or other ML Ops tools
• Experience in scaling engineering organizations with a focus on individual and team development
• Ability to balance business needs, development for multiple product lines, and shipping high quality solutions
• Experience in highly cross-functional environments for highly complex products preferred
• Strong technical acumen with the ability to understand and debate tradeoffs and approaches to building scalable architecture and data models A high standard, systems-first approach, and strong point of view for the user experience informed by customer empathy, research, data, and customer support insights
• Strong product opinions, including the ability to tell a story about where we’re going that is clear and inspiring, and work with teams to map dependencies, risks, and tradeoffs to increase velocity and make the vision real
• Sharp skills as a builder — even as you’ve become a strategic leader, you are fundamentally a builder who can jump into problem solving with team members when they need the support

Our cash compensation amount for this role is targeted at $191,000-$237,000 in Denver, $208,000-$258,000 in most remote locations, and $225,000-$279,000 for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Meet the team:   

In the Apps & Frameworks group our core obligation is to develop and own the production-grade automated processes of the Torc data loop. Starting with data selection, following training, evaluation, release verification and deployment, in the end, our machine learning models make our trucks perceive and steer through the world! The internal verification team focuses on recompute verification of all component teams, helping to understand the performance of our Virtual Driver automatically. To be successful, we collaborate with different component, data science, ML Ops and recompute teams across the organization.   

What you’ll do:   

• Performance metric development for perception and behavior components in Python 

• Managing, extending and using SQL databases with component output data 

• Maintaining and extending a Python dashboard displaying component verification data 

• Leveraging available (meta-)data of the Torc datalake to enrich our dashboard with helpful information for our component teams 

What you’ll need to succeed:   

• Considered very skilled and proficient in discipline; conducts important work under minimal supervision and with latitude for independent judgment 

• BS+ 4+ years of experience or MS+ 3+ years of experience. 

• Proficient in Git and Linux 

• Advanced Python programming skills 

• Proficiency in SQL for database management and data analysis 

• Domain experience in automated vehicle technology related to requirements, testing and verification 
   

Bonus Points!   

• Experience in modern python repository and package management 

• Experience with data visualization and analysis related to robotics/automated vehicles 

Perks of Being a Full-time Torc’r  

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:      

• A competitive compensation package that includes a bonus component and stock options    

• 100% paid medical, dental, and vision premiums for full-time employees      

• 401K plan with a 6% employer match    

• Flexibility in schedule and generous paid vacation (available immediately after start date)   

• Company-wide holiday office closures    

• AD+D and Life Insurance 

About the Role:

The Sr. Consultant of AI Solutioning will be instrumental in delivering exceptional AI solutions to clients. Reporting to the Director of AI Solutioning, this role involves active participation in client delivery and support for presales activities. Leveraging deep expertise in AI solution design, development, and deployment, the Sr. Consultant will serve as a subject matter expert and thought leader in the AI solutioning domain. In collaboration with the Director of AI Solutioning and other capability leads, responsibilities include developing and refining methodologies and frameworks, contributing to business development and proposal activities, and ensuring high-quality delivery across multiple clients. The primary focus will be leading delivery teams and advancing the overall growth and development of AI solutioning capabilities.

What You’ll Do:

I.  AI Capabilities Development

• Support developing and refinement of methodologies for AI requirement gathering, solution design, and development
• Create reusable AI solutions capabilities for common industry challenges
• Develop AI solutions to address key client challenges, including AI monitoring and observability, and security operations for machine learning models (ML LLM/Sec Ops)
• Contribute to the development of Trace3’s AI Solutioning product and service portfolio, aligning with market demands and company strategy

II.  Teamwork

• Coordinate approach with the Directo of AI Solutioning to ensure AI solutioning aligns with Trace3 business objectives and growth strategies
• Collaborate with cross-functional teams to align AI solutioning with overall product and services strategy
• Support sales/account teams by providing expertise in AI solution design and development during sales pursuits and client engagement

III.  Talent Development

• Mentor and lead a team of AI architects, strategists and product managers, ensuring successful project delivery and continuous development
• Contribute to the continuous learning and development of internal talent

IV.  AI Capabilities Sales and Delivery

• Work closely with clients to understand their challenges, gather and analyze data, formulate hypotheses, and define actionable plans to solutions.
• Ensure the quality and consistency of AI solution delivery across multiple clients
• Guide clients through technology/data selection, leveraging expertise in Azure OpenAI, Snowflake, Databricks, LLMs and related AI tools
• Lead client engagements, from initial solution design through to solution deployment
• Lead resources directly and through cross functional teams; exhibit strong leadership to drive high performing teams
• Manage the scope, requirements, resources and budget for all assigned projects
• Continuously monitor and create transparency through the communication of project status, issues and risks to internal teams and our client

V.  Thought Leadership

• Stay updated on latest AI trends, technologies, and best practices to inform strategy development and implementation.

Qualifications & Interests:

• Bachelor’s degree required, advanced degree/certifications preferred.
• 5+ years’ experience leading technical consulting engagements including focuses on data science, data transformation, AI/data architectures, advanced analytics, or similar platform implementation
• 2+ years’ experience in solution design and development, with a strong track record of successful client engagements
• Relevant AI/ML certifications preferred but not required (e.g., Azure Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer, etc.)
• Certifications in data platforms, data science, AI, statistical analysis and/or related areas by reputable organizations
• Familiarity with various AI and Machine Learning technologies, methods, tools (e.g., GitHub, PyTorch, TensorFlow, etc.), cloud platforms (e.g., AWS, Azure, GCP), programming languages (Python, R, etc.), and data architecture
• Extensive knowledge of data analysis, statistical modeling, consultative frameworks, project management methodologies, and technical implementation
• Up-to-date understanding of AI industry trends and emerging technologies
• Highly organized, detail-oriented, excellent time management skills and able to effectively prioritize tasks in a fast-paced, high-volume, and evolving work environment
• Ability to approach customer requests with a proactive and consultative manner; listen and understand user requests and needs and effectively deliver
• Strong influencing skills to get things done and inspire business transformation
• Excellent oral, written communication and presentation skills with an ability to present security related concepts to C-Level Executives and non-technical audience
• Conflict negotiation and problem-solving skills and agility

About the Role:

The Director of AI Solutioning will be an integral member of the AI Leadership Team, responsible for shaping and executing Trace3’s AI product strategy. This role will focus on defining and delivering innovative AI service offerings, while also providing strategic direction and technical expertise in AI solutions design and implementation. Key responsibilities include collaborating with clients’ AI leaders and executives to develop and execute AI strategies that address prioritized use cases. The Director will lead the definition and development of AI solutions, ensuring they align with both client needs and company objectives. This role demands a strong blend of consultative skills, technical proficiency, and business acumen to effectively navigate the rapidly evolving AI landscape and drive significant value for the Trace3 and our clients.

What You’ll Do:

I.  AI Capabilities Development

• Develop and maintain annual capabilities roadmap and resource plan
• Create frameworks for translating business problems into AI-solvable use cases
• Develop and refine methodologies for AI requirement gathering, solution design, and development
• Oversee the creation of reusable AI solutions capabilities for common industry challenges
• Develop solutions to address key AI challenges, including AI monitoring and observability, and security operations for machine learning models (ML LLM/Sec Ops)
• Develop and maintain AI Solutioning product and service portfolio, aligning with market demands and company strategy

II. Teamwork

• Collaborate with executives to ensure AI solutioning aligns with Trace3 business objectives and growth strategies
• Coordinate with other Product Leaders to align AI solutioning with overall product strategy
• Participate in cross-product strategic pursuit team to evaluate and pursue significant revenue generating opportunities
• Support sales/account teams by providing expertise in AI solution design and development during sales pursuits and client engagements

III.  Talent Development

• Support talent management efforts to attract, develop and retain highly competitive AI talent
• Mentor and lead a team of AI strategists, architects and product managers, ensuring successful project delivery and continuous development

IV.  AI Capabilities Sales and Delivery

• Partner with clients to align our Trace3 capabilities and offerings to their needs, develop and tailor proposals for clients.
• Drive sales and GTM activities around the AI Solutioning space working with our sales leaders and account teams.
• Act as project director and subject matter expert on strategic client projects and sales pursuits.
• Guide clients through technology/data selection, leveraging expertise in Azure OpenAI, Snowflake, Databricks, LLMs and related AI tools

V.  Thought Leadership

• Stay updated on latest AI trends, technologies, and best practices to inform strategy development and implementation.
• Drive thought leadership initiatives through white papers, presentations, and industry events

Qualifications & Interests:

• Master’s degree/Ph.D. focus on AI, Machine Learning, Statistics, Economics, or Business Administration, strongly preferred
• 10+ years’ experience including consulting leadership with focus areas including data/AI strategy, data science, advanced analytics, and data ecosystem transformations
• 5+ years’ experience in solution design and development, with a strong track record of successful client engagements
• 5+ years of product management experience in AI, Advanced Analytics, or digital transformation
• (Preferred) Relevant AI/ML certifications (e.g., Azure Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer, etc.)
• Certifications in data science, AI, statistical analysis and/or related areas by reputable organizations
• Extensive knowledge of data analysis, statistical modeling
• Deep understanding of AI and Machine Learning technologies, methods, tools (e.g., GitHub, PyTorch, TensorFlow, etc.), cloud platforms (e.g., AWS, Azure, GCP), programming languages (Python, R, etc.), and data architecture
• Up-to-date understanding of AI industry trends and emerging technologies
• Proven track record in bringing revenue-generating AI solutions to market
• Experience in a consulting or solutions-oriented environment
• Demonstrated track record of thought leadership content creation
• Strong financial and business acumen with understanding of a multi-faceted business operation
• Strong influencing skills to get things done and inspire business transformation
• Ability to approach customer and sales requests with a proactive and consultative manner; listen and understand user requests and needs and effectively deliver
• Excellent oral, written communication and presentation skills with an ability to present security related concepts to C-Level Executives and non-technical audience
• Conflict negotiation and problem-solving skills and agility
• Ability to travel when needed