Senior Machine Learning Operations Engineer

CarGurus, Inc.
Boston, MA, United States
16 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$144,000.0 - $181,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Computer Vision Unit Testing Cloud Database Software Debugging Github Python (Programming Language) Machine Learning Language Modeling NumPy
+16 more
Object-Oriented Software Development Standard Sql Azure Machine Learning Software Engineering Pytorch Snowflake Multi-Agent Systems Git Pandas Build Management Containerization Scikit Learn Xgboost Machine Learning Operations Data Pipelines Docker

Job description

As a core member of the Machine Learning Platform team, the Machine Learning Operations Engineer will be responsible for enhancing and maintaining CarGurus’ cloud-hosted ML platform. You will partner closely with data scientists to deploy machine learning models to production and to build and maintain the APIs and data pipelines that integrate predictive intelligence into CarGurus’ products. You will have the opportunity to contribute to systems supplying Recommendations, Search Ranking, Computer Vision, Instant Market Value, and more. What you’ll do

  • Write production-quality training jobs and inference APIs for our Python ML models, deploying them to robust scalable services
  • Contribute enhancements to the CarGurus ML platform, leveraging technologies such as AWS SageMaker, GitHub Actions, and Docker
  • Participate in systems design conversations with our data scientists and engineering partners, using your engineering expertise and experience to help them design scalable and robust systems
  • Develop in-house tools and libraries to standardize and accelerate the AI and ML development process
  • Build and integrate multi-modal AI capabilities into production ML systems
  • Design and build agentic AI systems and harness engineering to enable autonomous, reliable software development workflows
  • Own and maintain aspects of the Data Science team’s engineering infrastructure
  • Promote and foster an inclusive, transparent, and collaborative culture, The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global research and development team. This role centers on leading the design and delivery o…
  • 8 days ago

Requirements

  • 4+ years experience writing and debugging Python code
  • Familiarity with software engineering tools and standard methodologies, e.g. git, unit testing, object-oriented design, containerization
  • A working understanding of the machine learning lifecycle, including model training, evaluation, deployment, and monitoring
  • Familiarity with the Python ML ecosystem (e.g. scikit-learn, XGBoost, PyTorch, numpy, pandas)
  • Experience deploying, monitoring, and troubleshooting AI & ML models in a public cloud (we use AWS)
  • Exposure to a variety of AI & ML systems in production, including regression and classification on tabular data, image models, language models, and agentic systems
  • Knowledge of SQL and familiarity with cloud data warehouses (we use Snowflake)
  • A systems thinking mindset, able to reason about how components interact end-to-end across the ML lifecycle and platform, and also optimizing any single piece

Benefits & conditions

The displayed range represents the expected annual base salary / On-Target Earnings (OTE) for this position. On-Target Earnings (OTE) is inclusive of base salary and on-target commission earnings, which applies exclusively to sales roles. Individual pay within this range is determined by work location and other factors such as job-related skills, experience, and relevant education or training. This annual base salary forms part of a comprehensive Total Rewards Package. In addition to benefits, this role may qualify for discretionary bonuses/incentives and Restricted Stock Units (RSUs). Position Pay Range $144,000 - $181,000 USD Working at CarGurus We reward our Gurus’ curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives. CarGurus may require in-person interviews as part of our hiring process, particularly for positions based in our Boston and Dublin offices. Candidates selected for an in-person interview will be notified in advance. Please be aware that travel expenses are the responsibility of the candidate. We welcome all, + $161,000-246,000 per year

About the company

At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we’re the largest and fastest-growing automotive marketplace, and we’ve been profitable for over 15 years.

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