Senior Machine Learning Engineer

$155,000 - $205,000/Yr

Jobot - Boston, MA

posted 3 months ago

Full-time - Senior
Remote - Boston, MA
Administrative and Support Services

About the position

We are seeking a talented Senior Machine Learning Engineer to join our growing subsidiary of a large public company. This position is fully remote, allowing you to work from the comfort of your home while contributing to exciting projects in the field of machine learning. As a Senior ML Engineer, you will play a crucial role in building, evaluating, scaling, and deploying machine learning pipelines. You will leverage your expertise in Python and various machine learning frameworks to design and implement robust models that adhere to best practices in the industry. In this role, you will be responsible for orchestrating complex workflows and data pipelines, utilizing tools such as Airflow and SQL. You will also engage in MLOps practices, ensuring automated model deployment and performance monitoring. Your experience with AWS or equivalent public cloud platforms will be essential as you architect solutions that meet the needs of our business. Additionally, you will have the opportunity to work with large language models and other generative AI modalities, applying them in production environments. We offer a competitive salary range of $155,000 to $205,000 per year, along with a generous stock grant and a bonus of around 15%. Our benefits package includes comprehensive medical, dental, vision, and life insurance, as well as a 401k plan with a dollar-for-dollar match up to 6% of eligible earnings. You will enjoy 17 paid holidays per year, including three floating holidays, and 12 weeks of paid parental leave. We also provide caregiver leave, adoption and surrogacy assistance, and flexible workplace accommodations. Join us for fun team events and take advantage of our tuition reimbursement program and the ability to attend conferences.

Responsibilities

  • Build, evaluate, scale, and deploy machine learning pipelines using Python, preferably within the AWS ecosystem.
  • Design, train, and evaluate machine learning and AI models while adhering to best practices.
  • Implement MLOps practices such as automated model deployment and performance monitoring.
  • Orchestrate complex workflows and data pipelines using tools like Airflow.
  • Develop data APIs, microservices, and event-driven systems to integrate ML systems.
  • Load test deployed models at scale to understand performance breakpoints.
  • Assess and implement new data tools to enhance the machine learning stack.

Requirements

  • Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field.
  • 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python.
  • Strong programming skills in Python and understanding of core computer science principles.
  • Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
  • Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks.
  • Experience with architecting solutions on AWS or equivalent public cloud platforms.
  • Experience with Git, CI/CD pipelines, Docker, Kubernetes.

Nice-to-haves

  • Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science.
  • Knowledge of data mesh concepts.
  • Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.

Benefits

  • Competitive base salary between $155k and $205k, depending on experience.
  • Generous stock grant.
  • Bonus of around 15%.
  • Work from home / work remote 100%!
  • 401k with dollar for dollar match, up to 6% of eligible earnings.
  • Comprehensive medical, dental, vision and life insurance.
  • 17 paid holidays per year, including 3 floating holidays.
  • Annual Paid Time Off (PTO), with separate sick days.
  • 12 weeks paid Parental Leave.
  • Caregiver Leave.
  • Adoption and Surrogacy Assistance Plan.
  • Flexible workplace accommodation.
  • Fun team/company events at Sports games, concerts, etc.!
  • Tuition reimbursement.
  • Ability to attend conferences.
  • A MacBook Pro and accompanying hardware to do great work!
  • A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more!
  • Generous company discounts.
  • Eligible for donation matching to over 1.5 million nonprofit organization!
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