Your impact

Handshake is hiring a Technical Lead Manager, Machine Learning with a focus on Generative AI and Recommendations reporting to our Head of Core Relevance. 

AI is the future and we are excited to further invest in providing AI resources for our users on our platform. Is it possible to thoughtfully design a responsible, AI-driven product that can help our students progress from educational aspirations to career achievements?  In this role, you will work on tackling that goal as part of a lean, high-visibility team. You will be responsible for helping advance our AI product and infrastructure vision towards our mission of democratizing opportunity for millions of students on Handshake.

You will be part of a high-impact org that has already built a Data platform housing billions of data points, with cutting-edge production systems such as embedding-based retrieval, Graph Neural Networks, Fine-Tuned LLMs, and multi-stage rankers.  You will level up existing ML systems and drive marketplace metrics, while also accelerating greenfield AI-based products such as Social/Feed.  We’ll do all of this responsibly, with developed workstreams around Explainability, Fairness, and Quality.

Your role

• You will be a Force Multiplier - setting technical direction, shaping engineering culture, identifying and adopting industry best practices, designing effective partnerships across the company, mentoring and coaching direct reports / peers, and more. 
• You will be a Leader-  managing a lean team of machine learning engineers and data scientists while enabling effective collaboration, high-quality execution, and technical excellence across the Data organization
• You will be an Innovator -  developing algorithms and Machine Learning systems that connect users across the Handshake marketplace; from students looking for their first jobs and internships to employers sourcing candidates for high-priority roles.
• You will be a Collaborator -being an effective partner to product managers; you will work with product managers in driving new user experiences through Machine Learning and Natural Language Processing and build experiments that drive key product decisions and provide invaluable insights.

Your experience

You are an experienced, hands-on senior engineering leader with extensive experience identifying problems, coming up with technical solutions, and driving projects to completion. You care about culture, mentorship, and collaboration just as much as you care about coding, architecture, and technical design. You have an extreme user-focus, you are comfortable with ambiguity, you can drive alignment, and you make thoughtful data-driven decisions. 

• Basic Qualifications
  • Bachelor’s degree in Computer Science or related technical field or equivalent technical experience.
  • 7+ years of industry ML experience
  • Experience as Tech Lead or Manger 
• Preferred Qualifications:  
  
  • End-to-End experience building web-scale AI systems, feature stores, microservices
  • Background in one or more of the following areas of machine learning: recommendations, optimization, natural language processing (NLP), deep learning, LLMs, explainable AI
  • Experience building applications atop of IAAS (Google Cloud Platform, Amazon Web Services, Azure Cloud Services, etc.)
  • Experience working directly with cross-functional teams such as product management, analytics, engineering, and design.
  • Excellent communication skills — ability to succinctly communicate results and tell compelling stories with data to an out-of-domain audience (e.g. presenting findings and deep-dives to senior leadership).

Compensation range

• $235,000-$300,000

Want to learn more about what it's like to work at Handshake?Check out these interviews from our team members!

An overview of this role

Are you passionate about building robust frameworks to evaluate and ensure the reliability of AI models? As a Machine Learning Engineer on GitLab’s AIF team, you’ll play a critical role in shaping the future of AI-powered features at GitLab. This is an exciting opportunity to work on impactful projects that directly influence the quality of GitLab’s AI capabilities.

You’ll help merge cutting-edge evaluation tools, optimize dataset management, and scale our validation infrastructure. Working closely with other AI feature teams, you’ll ensure that every AI feature we deliver is robust, reliable, and meets the highest quality standards.

Some challenges in this role include designing scalable solutions for LLM evaluation, consolidating disparate validation tools, and contributing to GitLab’s innovative AI roadmap.

Some examples of our projects: 

Consolidating Evaluation Tooling | The GitLab HandbookGitLab.org / AI Powered / ELI5

• GitLab.org / ModelOps / AI Model Validation and Research / AI Evaluation / Prompt Library 

What You’ll Do  

• Design and implement technical evaluators for LLM assessment.
• Contribute to evaluation infrastructure consolidation efforts.
• Build scalable evaluation pipelines and frameworks.
• Develop and manage datasets and evaluation metrics.
• Collaborate with feature teams to integrate validation solutions.
• Optimize performance across ML evaluation systems.
• Support improvements to GitLab’s AI-powered tools through validation.
• Ensure all solutions align with GitLab’s infrastructure and security protocols.

What You’ll Bring 

• Proven experience designing and implementing LLM evaluation systems.
• Strong understanding of ML model architectures, including public vs. private implementations.
• Expertise in ML evaluation metrics and dataset management.
• Demonstrated ability to build production-grade ML infrastructure.
• Practical experience with Python-based ML frameworks and evaluation tools (e.g., Langsmith, ELI5).
• Excellent problem-solving skills with an engineering mindset.
• Ability to collaborate in an asynchronous, remote-first environment.
• Familiarity with open-source development and contribution is a plus.

About the team

The AIF team ensures that AI models across GitLab are reliable and well-validated. We focus on building robust evaluation frameworks, consolidating tools, and streamlining processes to scale validation efforts across GitLab’s AI infrastructure. Working on high-impact projects, the team partners with AI feature teams to deliver quality-focused solutions that enhance user trust and product performance.

How GitLab will support you

• Benefits to support your health, finances, and well-being
• All remote, asynchronous work environment
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and development budget 
• Parental leave 
• Home office support

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

About the team

Angi is seeking an exceptional Staff Data Scientist who can enable our transformation into a world-class online marketplace. Our Data Science and Machine Learning team uses state-of-the-art machine learning and AI techniques such as LLMs and neural rankers to both structured and unstructured data. The fraud detection team is dedicated to maintaining the integrity of the platform by actively protecting both homeowners and pros from fraud. We develop models to screen and onboard new users, verify user authenticity, prevent spam, and remove misleading reviews & profiles. Our efforts extend to ensuring the quality of interactions so that every experience on Angi builds confidence and trust in the platform. 

In addition to developing models, we’re also looking for someone who can deploy them at large scale with low latencies to serve our customers dynamically working closely with our Machine learning engineers and data platform team.

What you’ll do

• Model Development & Data Strategy: Lead development of state-of-the-art machine learning models and algorithms to improve fraud detection in both sides of the marketplace and booking process. This will include but not limited to having expertise in the fraud domain and building models with high efficiencies. Success in these areas will impact reducing the risk and fraud and improving user experience as critical metrics for business success. 
• Model Deployment: Implement highly optimized models to ensure the seamless deployment and scalability in production. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments.
• Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, data scientists, product managers, and designers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services.
• Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems.
• Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia.

Who you are

• You have a Master’s or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields).
• You have 7+ years of experience in data science & machine learning, with a focus on real-time ML models, ideally within the tech industry & marketplace environments with focus on fraud.
• You are an expert in machine learning and deep learning, and have a good working knowledge of large language models. 
• You have expertise in state-of-the-art algorithms such as Graph NN, Reinforcement Learning and other unsupervised learning approaches for detecting transactional and non-transactional frauds. 
• You have a proven track record of deploying highly impactful machine learning models into production environments.
• You are proficient in SQL and Python, and have experience with cloud ML solutions.
• You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

We value diversity

We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

Compensation & Benefits

• The salary band for this position ranges$190,000 - $260,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living. 
• This position will be eligible for a competitive year end performance bonus & equity package. 
• Full medical, dental, vision package to fit your needs 
• Flexible vacation policy; work hard and take time when you need it 
• Pet discount plans & retirement plan with company match (401K) 
• The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world 

#LI-Remote
#BI-Remote

The salary range for this role is $4,000 - $10,000 per month (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Principal Machine Learning Engineerwho is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

Responsibilities:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

Minimum Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Ideal Skills & Experience:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
  • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
  • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
  • You earn trust - you listen attentively, speak candidly, and treat others respectfully.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-Remote

​​About the Role:

We're looking for a savvy and experienced Senior Analytics Engineerto build seamless data products in collaboration with our data engineering, analytics, engineering, business, and product management teams.

You Will:

• Take the data products to the next level by developing scalable data models 
• Manage transformations of data after load of raw data through both technical processes and business logic
• Create an inventory of the data sources and documents needed to implement self-service analytics
• Define quality standards of the data and partner with the analytics team to define minimum acceptance criteria for the data sources
• Data cataloging & documentation of the data sources
• Regularly meet with business partners and analytics teams to understand and solve data needs, short-term and medium-term
• Build trust with internal stakeholders to encourage data-driven decision-making
• Work with all organizations to continually grow the value of our data products by onboarding new data from our backend and 3rd party system

You Have:

• 8+ years of experience with SQL, preferably for data transformation or analytical use cases
• 4+ years of experience building scalable data models for analytical and BI purposes
• 3+ years of solid experience with dbt
• Mastery of data warehouse methodologies and techniques from transactional databases to dimensional data modeling, to wide denormalized data marts
• Solid experience with BI tools like Tableau and Looker
• Experience using version control (command-line, Git)
• Familiarity with one of the data warehouses like Google Big Query, Snowflake, Redshift, Databricks
• Domain expertise in one or more of the Finance, Product, Marketing, Operations, Customer Experience
• Demonstrated experience engaging and influencing senior leaders across functions, including an ability to communicate effectively with both business and technical teams
• Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions and recommendations to drive actions
• Ability to articulate vision, mission, and objectives, and change the narrative appropriate to the audience
• Experience working with management to define and measure KPIs and other operating metrics
• Understanding of SDLC and Agile frameworks
• Project management skills and a demonstrated ability to work autonomously

Nice to Have:

• Experience working in telehealth or e-commerce
• Previous working experience at startups
• Knowledge of Python programming
• Knowledge of Airflow, and modern data stack (Airflow, Databricks, dbt, Fivetran, Tableau / Looker)
• ML training model development

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

The Team:

Our team is responsible for building the Celonis’end-to-end Task Mining solution. Task Mining is the technology that allows businesses to capture user interaction (desktop) data, so they can analyze how teams get work done, and how they can do it even better. We own all the related components, e.g. the desktop client, the related backend services, the data processing capabilities, and Studio frontend applications.

The Role:

Celonis is looking for a Staff Data & Machine Learning Engineer to improve and extend our existing Task Mining ETL pipeline as well as build production ready AI based features into the Task Mining product. You will be owning the solution to simplify the extraction of insights from task mining data. This role demands a blend of expertise in data engineering, software development, and machine learning, utilizing Python. 

The work you’ll do:

• Design, build, and maintain robust, scalable data pipelines that facilitate the ingestion, processing, and transformation of large datasets
• Drive the development of AI-powered features and applications from scratch within the Task Mining product
• Implement data strategies and develop data models
• Collaborate with other engineering teams to implement, deploy, and monitor ML models in production, ensuring their performance and accuracy
• Leverage machine learning techniques to provide actionable insights and recommendations for process optimization
• Write performant, scalable and easy to understand SQL queries and optimize existing ones
• Learn PQL (Process Query Language – Celonis’ own language for analytical formulas and expressions) and use it to query data from our process mining engine
• Own the implementation of end to end solutions: leading the design, implementation, build and delivery to customers
• Provide technical leadership and mentorship to other engineers and team members
• Lead design discussions, code reviews, and technical planning sessions to ensure high standards and knowledge sharing

The qualifications you need:

• 8+ years of practical experience in a Computer Science/Data Science related field
• Or PhD in Data Science/AI/ML area with 5+ years of practical experience 
• Experience with building production ready and scalable AI/ML applications in the python ecosystem
• Ability to optimize data pipelines, applications, and machine learning models for high performance and scalability
• Understanding of ETL jobs, data warehouses/lakes, data modeling, schema design
• Excellent command of SQL, including query optimization principles
• Ability to assess dependencies within complex systems, quickly transform your thoughts into an accessible prototype and efficiently explain it to diverse stakeholders
• Experience with containerization and CI/CD pipelines (e.g. Docker, Github Actions)
• Interest in learning new technologies (e.g. PQL language and Object Centric Process Mining)
• Strong communication and collaboration skills (English is a must)
• Able to supervise and coach mid-level and senior colleagues
• Knowledge of Column-oriented DBMS (e.g. Vertica) and its specific features would be beneficial
• Nice to have is knowledge in the frameworks Tensorflow, Pytorch, Langchain, FastAPI, SQLAlchemy 

At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the microphone and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing. 

Associate Manager, AI Data Annotation

Why We Have This Role

We are looking for a talented and innovative AI Data Annotation and Transcription Manager to bring our multi-lingual data collection, annotation, transcription, and audit capabilities to the next level.  You are passionate about building processes and tools for curating large scale datasets that are used to train, audit, and maintain cutting-edge machine learning models.

How You’ll Find Success

The annotation team that you will lead is crucial to the success of the AI initiatives at Qualtrics in a number of ways. First, you will work directly with product managers, engineers and applied scientists/data scientists to plan and scope projects. Second, you will oversee and manage the entire annotation process from guideline creation all the way through annotation completion and delivery. Third, you will continuously evaluate opportunities and challenges for data annotation in the ever-changing AI landscape by staying on top of new annotation and transcription regulations, tools, and technologies. Fourth, you will be a key contributor to the leadership team and take a direct part in shaping the culture of this highly dynamic and versatile organization.

How You’ll Grow

• Set the vision and expectations for the Language Engineering (LE) team
• Design objectives and key results to help the LE team scale its efforts to support more ML projects
• Help define processes to improve speed to delivery of the various annotation projects
• Focus on your career development by taking advantage of Qualtrics’ weekly allotted time to take courses on LinkedIn and other similar platforms
• Collaborate across teams to ensure continuity of projects and drive consensus 

Things You’ll Do

• Work as part of a multidisciplinary team to research/define requirements and develop processes for curating new datasets, data labeling,ƒdata and transcription pipelines
• Lead a multi-lingual team of linguists, language experts, and transcriptionists that are building various knowledge and data assets for Qualtrics by defining new data annotation tasks, writing annotation guidelines, and developing audit metrics.
• Define and promote best practices for new data labeling efforts in accordance with product needs, including measuring and ensuring annotation quality
• Build a pragmatic understanding of the life cycle of machine learning systems and behaviors
• Contribute to process improvements to improve efficiency and quality of portfolio of predictive models by facilitating collaborations with scientists to build, test, and debug machine learning models
• Manage various annotation workflows for language experts (internal and external), ensuring timely completion of multiple concurrent projects
• Oversee your team as they work closely with, incorporate feedback from, and audit work of data labeling specialists and external vendors 
• Be able to deal with ambiguity, multi-task, and adapt to changing priorities in a fast paced, highly collaborative, dynamic work environment
• Work with operational teams to investigate and resolve bugs related to models and data issues
• Advise and coach team members to develop their skills and work towards their career goals
• Set the standard for your team for collaborating with peers, prioritizing features, and working with a sense of urgency to deliver value to customers 

What We’re Looking For On Your Resume

• BA/BS or above in linguistics, or another relevant field
• 5+ years of professional experience
• 2+ years managing data annotation or related projects
• 2+ years of people management or team lead experience
• Strong understanding of data annotation and evaluation workflows for ML use cases
• Ability to quickly grasp technical concepts and learn custom built tools
• Excellent organizational, written, and verbal communication skills
• Ability to deliver high quality results under tight deadlines
• Comfortable working in a fast paced, collaborative work environment
• Team player with exceptional interpersonal skills and a solution-oriented attitude
• Strong analytical, problem-solving, and critical-thinking skills
• Independent, proactive, and self-motivated

What You Should Know About This Team

The goal of the Data Intelligence Center of Excellence (DICE) organization is to personalize the Qualtrics experience for our customers (aka brands) by extracting actionable insights and personalizing the Qualtrics experience using powerful machine learning capabilities. We are a team of engineers, researchers, program managers and product managers working on the innovation charter to build intelligent algorithms that power the DICE suite of products and services.

Our Team’s Favorite Perks and Benefits

• Wellness Reimbursement for $300 per quarter for wellness activities including gym memberships, spa massages, workout equipment, meditation apps, and much more.
• $1800 Experience bonus to be used for an “Experience” of your choosing
• QMentorship Program matches you with a mentor inside Qualtrics to get meaningful coaching from someone outside your team. 
• Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.

The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection Act

Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.

Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.

Who we are

Are you passionate about innovating at the intersection of technology and personal security? At Pindrop, we recognize that the human voice is a unique personal identifier, increasingly susceptible to sophisticated fraud, including the threat of deepfakes. We're leading the way in developing cutting-edge authentication, fraud prevention, and deepfake detection. Our mission is to provide seamless and secure digital experiences, safeguarding the most personal aspect of our identity: our voice. Here, you'll be part of a team driven by values of Innovation, Customer Advocacy, Excellence, and Impact. We're not just creating a safer digital landscape by fortifying trust and integrity with those we serve, we’re also building a dynamic, supportive workplace where your contributions make a real difference.

Headquartered in Atlanta, GA, Pindrop is backed by world-class investors such as Andreessen-Horowitz, IVP, and CapitalG.

What you’ll do

As a Senior Software Engineer, you will play a critical role in the development and maintenance of software applications and systems. You will be responsible for leading and contributing to complex software projects, providing technical expertise, and mentoring junior engineers. You will expand capabilities, bring new solutions to market. As a member of the MLOps team you will be responsible for systems which train models and produce predictions.

More specifically, you will:

• Software Development: Design, develop, test, and maintain our complex software applications, ensuring high-quality code and adherence to best practices. Play a critical role in the development and maintenance of our software products by designing, building, evolving, and scaling state-of-the-art solutions for our Pindrop platform.
• Technical Leadership: Provide technical leadership and guidance to junior engineers and the development team, including code reviews, architecture decisions, and mentoring. 
• Architecture and Design: Contribute to the design and architecture of software systems, ensuring scalability, maintainability, and performance
• Problem Solving: Analyze and solve complex technical problems, and make recommendations for improvements and optimizations.
• Quality Assurance: Implement and advocate for best practices in testing and quality assurance, including unit testing, integration testing, and automated testing.
• Code Review: Participate in code reviews and provide constructive feedback to ensure code quality and consistency.
• Research and Innovation: Stay current with emerging technologies, tools, and programming languages and apply them where relevant to improve software development processes.
• Security and Compliance: Ensure software adheres to security standards and compliance requirements, addressing vulnerabilities and potential risks.
• Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP)
• Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
• Data science model review: run code and refactor, optimize, containerize, deploy, version, and monitor its quality
• Validate and add automated tests for Data Science models
• Work closely with a team of researchers and data scientists to productionize and document research innovations

Who you are

• You are resilient in the face of challenges, change, and ambiguity
• You are optimistic and believe that you can make a problem into a solution
• You are resourceful, excited to uncover innovative solutions and teach yourself something new when needed
• You take accountability, do the things you say you’ll do, under-promise and over-deliver
• You are a strong problem-solver with excellent analytical skills.
• You are an owner and enjoy taking on project leadership as well as mentorship
• You are a strong verbal and written communicator 

Your skill-set: 

• Must Have
• 5-7 Years of Software engineering experience
• Experience with cloud computing environments, especially AWS and container-based deployment using Docker and Kubernetes
• Experience working with python 2-3 years minimum 
• Experience operating services in production environments
• A strong understanding of software design principles, software architecture and design patterns as well as software development best practices, including testing, version control, and continuous integration
• Experience with infrastructure as code tools like Terraform or AWS CDK
• Experience in monitoring and performance of Production platforms using tech stacks and tools such as Datadog, ELK, Grafana, Prometheus
• Participation in on-call rotation required
• Nice to Have
• Experience with Machine Learning frameworks and libraries such as XGBoost, SciKit-Learn, H2O, TensorFlow, PyTorch, Keras, Spark MLlib
• Experience with leading industry Machine Learning tools and operation frameworks such as MLflow, Kubeflow, Airflow, Seldon Core, TFServing
• Experience building microservices and RESTful APIs
• CI/CD pipelines using tools such as GIT, Jenkins.

What’s in it for you:

As a Pindropper, you join a rapidly growing company making technology more human with the power of voice. You will work alongside some of the best and brightest. We’re a passionate group committed to excellence - but that doesn’t stop us from enjoying the journey as a team with chess and poker tournaments, catered lunches and happy hours, wellness programming, and more. Because we take our jobs seriously, we add in time for rest with Unlimited PTO, Focus Thursday, and Company-wide Rest Days. 

0-30 (Acclimating)

• Complete onboarding and attend New Employee Orientation sessions with other new Pindroppers
• Onboard in the MLOps Team
• 1:1s with all the team members
• Get started with your first project, first PR merged

30-60 (Learning)

• Be a part of planning and contribute to the smaller tasks to fix existing issues
• Be a part of triaging only the most important issues for the team to be focusing on
• Add small features/resolve tech debt for the MLOps team

60-90 (Assimilating)

• Fully acclimated with the team
• Be able to pick up any task that comes out of sprint planning
• Be able to design enhancements to the ML platform
• Teach us something new

What we offer 

As a part of Pindrop, you’ll have a direct impact on our growing list of products and the future of security in the voice-driven economy. We hire great people and take care of them. Here’s a snapshot of the benefits we offer:

• Competitive compensation, including equity for all employees
• Unlimited Paid Time Off (PTO)
• 4 company-wide rest days in 2024 where the entire company rests and recharges!
• Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan!
• Best-in-class Health Savings Account (HSA) employer contribution
• Affordable vision and dental plans for you and your family
• Employer-provided life and disability coverage with additional supplemental options
• Paid Parental Leave - Equal for all parents, including birth, adoptive & foster parents
• One year of diaper delivery for your newest addition to the family! It’s our way of welcoming new Pindroplets to the family!
• Identity protection through Norton LifeLock
• Remote-first culture with opportunities for in-person team events
• Recurring monthly home office allowance
• When we need a break, we keep it fun with happy hours, ping pong and foosball, drinks and snacks, and monthly massages!
• Remote and in-person team activities (think cheese tastings, chess tournaments, talent shows, murder mysteries, and more!)
• Company holidays
• Annual professional development and learning benefit
• Pick your own Apple MacBook Pro
• Retirement plan with competitive 401(k) match
• Wellness Program including Employee Assistance Program, 24/7 Telemedicine

What we live by

At Pindrop, our Core Values are fundamental beliefs at the center of all we do. They are our guiding principles that dictate our actions and behaviors. Our Values are deeply embedded into our culture in big and small ways and even help us decide right from wrong when the path forward is unclear. At Pindrop, we believe in taking accountability to make decisions and act in a way that reflects who we are. We truly believe making decisions and acting with our Core Values in mind will help us to achieve our goals and keep Pindrop a great place to work:    

• Audaciously Innovate - We continue to change the world, and the way people safely engage and interact with technology. As first principle thinkers, we challenge standards, take risks and learn from our mistakes in order to make positive change and continuous improvement. We believe nothing is impossible.
• Evangelical Customers for Life - We delight, inspire and empower customers from day one and for life. We create a partnership and experience that results in a shared passion.   We are champions for our customers, and our customers become our champions, creating a universal commitment to one another. 
• Execution Excellence - We do what we say and say what we do. We are accountable for making the tough decisions and necessary tradeoffs to deliver quality and effective solutions on time.
• Win as a Company - Every time we win, we win as a company. Every time we lose, we lose as a company. We break down silos, support one another, embrace diversity and celebrate our successes. We are better together. 
• Make a Difference - Every day we have the opportunity to make a positive impact. We operate with dedication, passion, and uncompromising integrity, creating a safer, more secure world.

Not sure if this is you?

We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.

Pindrop is an Equal Opportunity Employer

Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.

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