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.

#LI-REMOTE

About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency. 

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices increases productivity through more in-person collaboration where possible.

The Department: Customer Support (Ledger Operations)

As a team within the Support group, the Ledger Operations team is data driven and customer-centric. Team members work closely with data scientists, engineers, product managers, and corporate operational stakeholders to reconcile data. Projects range from the very urgent, short sprint to redesigning long-term solutions to improve scalability and automation. Ledger Operations primary goal is to ensure high quality, scalable data reconciliation with proactive monitoring and reducing delays for reactive corrections. This team is responsible for building the “next generation” of reconciliation tools to maintain and expand Gemini’s internal reconciliation processes. 

The Role: Staff Ledger Operations Engineer

Responsibilities:

• Mentor engineers while also self-managing as an individual contributor
• Design data pipelines and automate ETL processes and SQL optimization, which will influence the “next generation” for Gemini’s ledger reconciliation processes and reporting (including improving the data warehouse changes, if necessary)
• Partner with the third party vendors, Data Analytics team and Crypto Core engineers for data processing
• Be responsible for maintaining and creating data adaptors to process real-time data, create data validation processes, reporting, and root cause analysis for exception reports

Minimum Qualifications:

• 7+ years experience with schema design and dimensional data modeling
• 7+years with design and implementing a reconciliation system while improving existing data pipelines
• Must have experience with cryptocurrency data 
• Must have experience in trade or ledger reconciliation
• Must have advanced SQL skills and database design experience 
• Experience building real-time data solutions and processes to automate reconciliation analysis and reporting
• Experience building and integrating web analytics solutions
• Experience with FIX, Kafka, REST, and other data messaging types
• Experience and expertise in Airflow, Databricks, Spark, Hadoop etc.
• Skilled in programming languages Python and/or Java
• Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
• Extensive ETL and database experience with financial transaction systems for (banking systems, exchange systems)
• Extensive experience in financial reporting for “above the line” revenue for building annual, audited financials
• Strong technical and business communication skills

Preferred Qualifications:

• Experience with financial Reporting Requirements for publicly traded companies

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $152,000 - $190,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

At CLEAR, we are pioneers in digital and biometric identification, known for reducing friction wherever identity verification is needed. Now, we’re evolving further, building the next generation of products to go beyond ID, empowering our members to harness the power of a networked digital identity. As an Analytics Engineer, you will play a pivotal role in designing and enhancing our data platform, ensuring it supports data-driven insights while safeguarding member privacy and security.

A brief highlight of our tech stack:

• SQL / Python / Looker / Snowflake / Dagster / dbt

What you'll do:

• Design and maintain scalable, self-service data platforms enabling Analysts and Engineers to drive automation, testing, security, and high-quality analytics.
• Develop robust processes for data transformation, structuring, metadata management, and workflow optimization.
• Own and manage end-to-end data pipelines—from ingestion to transformation, modeling, and visualization—ensuring high data quality.
• Collaborate with stakeholders across product and business teams to understand requirements and deliver actionable insights.
• Lead the development of data models and analytics workflows that support strategic decision-making and reporting.
• Maintain a strong focus on privacy, ensuring that member data is used securely and responsibly.
• Drive architectural improvements in data processes, continuously improving CLEAR’s data infrastructure.

 What you're great at:

• 6+ years of experience in data engineering, with a focus on data transformation, analytics, and cloud-based solutions.
• Proficient in building and managing data pipelines using orchestration tools (Airflow, Dagster,) and big data tools (Spark, Kafka, Snowflake, Databricks).
• Expertise in modern data tools like dbt and data visualization platforms like Looker, Tableau.
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Experience mentoring and collaborating with team members to foster a culture of learning and development.
• Comfortable working in a dynamic, fast-paced environment with a passion for leveraging data to solve complex business challenges.

How You'll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. The base salary range for this role is $145,000 - $175,000, depending on levels of skills and experience.

The base salary range represents the low and high end of CLEAR’s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units.

About CLEAR

Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 25+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

At Clover, the Business Enablement team spearheads our technological advancement while ensuring robust security and compliance. We deliver user-friendly corporate applications, manage complex data ecosystems, and provide efficient tech solutions across the organization. Our goal is simple, we make it easy for the business to do what’s right for Clover. 

We are looking for a Data Engineer to join our team. You'll work on the development of data pipelines and tools to support our analytics and machine learning development. Applying insights through data is a core part of our thesis as a company — and you will work on a team that is a central part of helping to deliver that promise through making a wide variety of data easily accessible for internal and external consumers. We work primarily in SQL, Python and our data is stored primarily in Snowflake. You will work with data analysts, other engineers, and healthcare professionals in a unique environment building tools to improve the health of real people. You should have extensive experience leading data warehousing projects with advanced knowledge in data cleansing, ingestion, ETL and data governance.

As a Data Engineer, you will:

• Collaborate closely with operations, IT and vendor partners to understand the data landscape and contribute to the vision, development and implementation of the Data Warehouse solution.
• Recommend technologies and tools to support the future state architecture.
• Develop standards, processes and procedures that align with best practices in data governance and data management.
• Be responsible for logical and physical data modeling, load and query performance.
• Develop new secure data feeds with external parties as well as internal applications.
• Perform regular analysis and QA, diagnose ETL and database related issues, perform root cause analysis, and recommend corrective actions to management.
• Work with cross-functional teams to support the design, development, implementation, monitoring, and maintenance of new ETL programs.

Success in this role looks like:

• First 90 days:
  • Develop a strong understanding of our existing data ecosystem and data pipelines.
  • Build relationships with various stakeholder departments to understand their day to day operation and their usage and need of Data Eng products.
  • Contribute in the design and implementation of new ETL programs to support the growth and operation efficiency of Clover.
  • Perform root cause analysis after issues have been identified and propose solutions for both short term and long term fixture to increase the stability and accuracy of our pipelines.
• First 6 months:
  • Provide feedback and propose opportunities for improvement on current data engineering processes and procedures.
  • Work with platform engineers on improving data ecosystem stability, data quality monitoring and data governance.
  • Lead discussion with key stakeholders, propose, design and implement new data eng projects that solve critical business problems.
• How will success be measured in the future?
  • Continue the creation and management of ETL program and data assets.
  • Be the technical Data Eng lead of our data squad’s day to day operation.
  • Guide and mentor other junior members of the team.

You should get in touch if:

• You have a Bachelor’s degree in Computer Science or related field along with 5+ years of experience in ETL programming.
• You have professional experience working in a healthcare setting. Health Plan knowledge highly desired, Medicare preferred.  
• You have expertise in most of these technologies: 
  • Python 
  • Snowflake 
  • DBT
  • Airflow 
  • GCP
  • AWS
  • BigQuery
  • Postgres 
  • Data Governance 
  • Some experience with analytics, data science, ML collaboration tools such as Tableau, Mode, Looker

#LI-Remote

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.We are an E-Verify company.

Benefits Overview:

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by offering comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, company holidays, access to mental health resources, and a generous annual leave policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
• Professional Development: We are committed to developing our talent professionally. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

• Reimbursement for office setup expenses
• Monthly cell phone & internet stipend
• Flexibility to work from home, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

About Clover:We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.

From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.

This team is responsible for the Autonomous Vehicle Systems Engineering and acts as a technical liaison between Product, Program, Legal, Engineering, and Test. This group includes Systems Engineers that work across Cruise on end-to-end system design. They provide the specific analysis, tools, and translation of requirements into a form that is easily consumed by the engineers who design and build these systems.

WHAT YOU’LL BE DOING:

• Define requirements, metrics, and simulation testing to validate safe, legal, and comfortable Autonomous Vehicle operations

• Perform analysis of Autonomous Vehicle driving behaviors to characterize vehicle systems performance, validate systems engineering requirements, influence development of the autonomy stack, and enable release and launch decisions by developing simulation testing and on road monitoring

• Apply risk management tools and methodologies to drive decision making

• Combine experience in Systems Engineering and data analysis to facilitate data driven design, validation, risk analysis, and prioritization decisions

• Lead and communicate data analyses, trade studies, and safety analysis that provide teams with all the information needed to develop and continuously improve the systems function and performance

• Develop methods to analyze and compare the impact of software changes on top level systems engineering requirements

• Own roadmaps for developing long-term and stable requirements, verification/validation, and/or software solutions to advanced problems

• Mentor team members in support of successful delivery of roadmaps or technical solutions

The salary range for this position is $166,600 - $245,000. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.

WHAT YOU MUST HAVE:

• BS, MS, or PhD in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or another related field

• 10+ years of experience in systems engineering, robotics, systems analysis, data analysis, statistical analysis, or other related fields

• Proficient with SQL, Python, and C++ or similar to analyze large data sets coming out of hardware systems

• Excellent critical and analytical thinking skills: you can interpret what the data is telling us, and which analyses will reveal impactful conclusions

• Fluent in data-based and analytical engineering problem solving practices, including using paretos, root cause analysis, and more

• Proficient in statistics and probability 

• Ability to understand complex technical systems

• Ability to adapt and operate under ambiguity

• Prioritize while maintaining the tasks at hand

• Strong technical and nontechnical communication skills

• Comfortable at context switching between executive view and deep technical details and solving technical challenges that have not been previously encountered in the organization

BONUS POINTS!

• Experience with robotics, autonomous vehicles, vehicle development or ADAS development

• Experience building data pipelines and familiarity with ETL software such as DBT or Airflow

• Experience developing dashboards and data visualizations using tools such as Looker or Jupyter notebooks

• Industry experience in system engineering and requirements management including system analysis, requirements authoring, test generation, and validation activities

• Experience with requirements management tools (Jama, DNG, DOORS, etc.)

• Proven track record of successful systems engineering for a safety-critical product

Senior Driving Behaviors Systems Engineer II

We’re Cruise, a self-driving service designed for the cities we love.

We’re building the world’s most advanced, self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

Cruisers have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there’s an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.

If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, join us.

This team is responsible for the Autonomous Vehicle Systems Engineering and acts as a technical liaison between Product, Program, Legal, Engineering, and Test. This group includes Systems Engineers that work across Cruise on end-to-end system design. They provide the specific analysis, tools, and translation of requirements into a form that is easily consumed by the engineers who design and build these systems.

WHAT YOU’LL BE DOING:

• Define requirements, metrics, and simulation testing to validate safe, legal, and comfortable Autonomous Vehicle operations

• Perform analysis of Autonomous Vehicle driving behaviors to characterize vehicle systems performance, validate systems engineering requirements, influence development of the autonomy stack, and enable release and launch decisions by developing simulation testing and on road monitoring

• Apply risk management tools and methodologies to drive decision making

• Combine experience in Systems Engineering and data analysis to facilitate data driven design, validation, risk analysis, and prioritization decisions

• Lead and communicate data analyses, trade studies, and safety analysis that provide teams with all the information needed to develop and continuously improve the systems function and performance

• Develop methods to analyze and compare the impact of software changes on top level systems engineering requirements

• Develop long-term and stable requirements, verification/validation, and/or software solutions to advanced problems

WHAT YOU MUST HAVE:

• BS, MS, or PhD in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or another related field

• 7+ years of experience in systems engineering, robotics, systems analysis, data analysis, statistical analysis, or other related fields

• Proficient with SQL, Python, and C++ or similar to analyze large data sets coming out of hardware systems

• Excellent critical and analytical thinking skills: you can interpret what the data is telling us, and which analyses will reveal impactful conclusions

• Fluent in data-based and analytical engineering problem solving practices, including using paretos, root cause analysis, and more

• Proficient in statistics and probability 

• Ability to understand complex technical systems

• Ability to adapt and operate under ambiguity

• Prioritize while maintaining the tasks at hand

• Strong technical and nontechnical communication skills

BONUS POINTS!

• Experience with robotics, autonomous vehicles, vehicle development or ADAS development

• Experience building data pipelines and familiarity with ETL software such as DBT or Airflow

• Experience developing dashboards and data visualizations using tools such as Looker or Jupyter notebooks

• Industry experience in system engineering and requirements management including system analysis, requirements authoring, test generation, and validation activities

• Experience with requirements management tools (Jama, DNG, DOORS, etc.)

• Proven track record of successful systems engineering for a safety-critical product

The salary range for this position is $142,800 - $210,000. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.

This team is responsible for the Autonomous Vehicle Systems Engineering and acts as a technical liaison between Product, Program, Legal, Engineering, and Test. This group includes Systems Engineers that work across Cruise on end-to-end system design. They provide the specific analysis, tools, and translation of requirements into a form that is easily consumed by the engineers who design and build these systems.

WHAT YOU’LL BE DOING:

• Define requirements, metrics, and simulation testing to validate safe, legal, and comfortable Autonomous Vehicle operations

• Perform analysis of Autonomous Vehicle driving behaviors to characterize vehicle systems performance, validate systems engineering requirements, influence development of the autonomy stack, and enable release and launch decisions by developing simulation testing and on road monitoring

• Apply risk management tools and methodologies to drive decision making

• Combine experience in Systems Engineering and data analysis to facilitate data driven design, validation, risk analysis, and prioritization decisions

• Lead and communicate data analyses, trade studies, and safety analysis that provide teams with all the information needed to develop and continuously improve the systems function and performance

• Develop methods to analyze and compare the impact of software changes on top level systems engineering requirements

• Develop long-term and stable requirements, verification/validation, and/or software solutions to advanced problems

WHAT YOU MUST HAVE:

• BS, MS, or PhD in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or another related field

• 7+ years of experience in systems engineering, robotics, systems analysis, data analysis, statistical analysis, or other related fields

• Proficient with SQL, Python, and C++ or similar to analyze large data sets coming out of hardware systems

• Excellent critical and analytical thinking skills: you can interpret what the data is telling us, and which analyses will reveal impactful conclusions

• Fluent in data-based and analytical engineering problem solving practices, including using paretos, root cause analysis, and more

• Proficient in statistics and probability 

• Ability to understand complex technical systems

• Ability to adapt and operate under ambiguity

• Prioritize while maintaining the tasks at hand

• Strong technical and nontechnical communication skills

BONUS POINTS!

• Experience with robotics, autonomous vehicles, vehicle development or ADAS development

• Experience building data pipelines and familiarity with ETL software such as DBT or Airflow

• Experience developing dashboards and data visualizations using tools such as Looker or Jupyter notebooks

• Industry experience in system engineering and requirements management including system analysis, requirements authoring, test generation, and validation activities

• Experience with requirements management tools (Jama, DNG, DOORS, etc.)

• Proven track record of successful systems engineering for a safety-critical product

The salary range for this position is $122,400 - $180,000. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, and benefits. These ranges are subject to change.

Overview

About the Role -As a Staff Software Engineer, you will play a crucial role in building a robust data platform that addresses strategic challenges within Ads and across Instacart. You'll work on developing systems to capture and enforce data-compliance requirements, and enhance self-service capabilities for internal consumers while maintaining data integrity and consistency. Your efforts will drive the north-star vision for the platform by consolidating diverse requirements and collaborating across multiple engineering teams, ensuring strategic alignment and continuous delivery.

About the Team -You will join a dynamic team that transforms raw data into actionable insights, fulfilling the needs of advertisers, internal data consumers like data science and machine learning engineers, sales, and more. The team owns several systems such as metrics transformation and storage, billing, spam detection, lift testing, and supports multiple facets of Instacart’s data infrastructure to equip the organization with valuable information. We empower Instacart teams to make data-driven decisions and directly impact business goals.

About the Job 

• Lead and break down complex problems while keeping the broader data vision in focus.
• Collaborate with engineers and engineering teams, providing mentorship and fostering a strong engineering culture.
• Directly contribute to our data vision and engineering architecture. Produce and review technical artifacts that align with business goals.
• Oversee engineering initiatives end-to-end, proactively managing risks, setting goals, and ensuring smooth execution and delivery.
• Balance maintainability with tech debt and the development of new features.

About You

Minimum Qualifications

• 8+ years of software development experience.
• Proven ability to work with multiple stakeholders and manage ambiguity and conflicting requirements.
• Self-motivated with a strong sense of ownership in a fast-paced startup environment.
• Expertise in Spark, ETLs, Distributed System architecture, MapReduce, SQL, and Big Data infrastructure.
• Experience in balancing urgency and pragmatism with high-quality, long-term solutions.

Preferred Qualifications

• 10+ years of experience
• Strong background in Scala and functional programming.
• Familiarity with Snowflake, Databricks, DBT, Airflow, Python, Terraform, and Go.

Position Summary:

This position is focused on driving innovation in the core business, including but not limited to, predicting operations performance, short-term forecasting, improving dispatching efficacy, simulation and analyzing data from our network of roadside assistance service providers and extensive call-center operations. An ideal candidate would assist stakeholders in understanding and making use of insights gained from statistical analyses and building predictive models. The platform machine learning team is a highly collaborative cross-functional team with Machine Learning engineers, data scientists, software engineers and product management, working together to power the next wave of ML-driven platform enhancements.

Essential Functions:

• Participate in end-to-end data science projects from problem definition and data exploration to result validation and working with engineers to put models in production.
• Communicate research results effectively in written and spoken forms to various audiences including product management, engineering and executives.
• Research and experiment with Agero's extensive datasets to gain new insights and drive innovation.

Possible Projects (within the first 6-12 months):

• Conduct analysis to help optimize the performance of our dispatching operations.
• Predictive modeling of job performance indicators to help improve customer satisfaction.
• Spatial analysis of our service jobs, leveraging weather and other real-time information to assist our operations.
• Develop ETA prediction models, employing data fusion techniques to improve accuracy.

Requirements:

Education/Experience

This position requires 5+ years of equivalent experience. This experience could come from several paths: e.g., a Ph.D. in a technical field (physical science, engineering, mathematics, computer science, operations research, management science), or a Master’s degree in a technical field and 3+ years relevant experience, or a Bachelor’s degree in a technical field and 5+ years relevant experience.

Skills

• Statistics and data exploration, knowledge of EDA best practices
• Advanced SQL experience, experience with Snowflake a plus
• Experience with A/B testing: designing, sizing and post-analysis
• Machine Learning with tabular data: knowledge of modeling with tree-based models like XGBoost
• Strong analytical coding skills in Python, proficient with Python data stack (Pandas, Numpy, Scipy, Matplotlib, PyTorch)
• Good communication skills both in written (technical documents, Python notebooks) and spoken (meetings, presentations) forms
• Willing and able to learn and meet business needs, understanding the underlying context
• Independent, self-organizing, and able to prioritize multiple complex assignments

Nice to Haves

• Experience running jobs on Airflow or similar orchestrators
• Experience with cloud computing (ideally AWS)
• Experience with forecasting methods and libraries (e.g., Prophet)
• Experience with PyMC3 or PyStan is a plus
• Experience with Geospatial data is a plus

Hiring In:

• United States:  AZ, FL, GA, NH, IL, KY, MA, MI, NC, NM, TN, VA, CA
• Canada: Province of Ontario
• #LI-REMOTE