Senior Machine Learning Engineer

$155,000 - $205,000/Yr

Jobot - New York, NY

Full-time - Senior

Remote - New York, NY

Administrative and Support Services

About the position

The Senior Machine Learning Engineer will play a crucial role in building, evaluating, scaling, and deploying machine learning pipelines for a growing subsidiary of a large public company. This position offers the opportunity to work remotely while contributing to innovative projects in machine learning and AI, utilizing a modern tech stack and collaborating with a talented team.

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.
• Develop batch and streaming pipelines using SQL, PySpark, and Pandas.
• Orchestrate complex workflows and data pipelines using tools like Airflow.
• Architect solutions on AWS or equivalent public cloud platforms.
• 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 machine learning frameworks and libraries such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib.
• Experience with MLOps practices including automated model deployment and data drift detection.
• Experience with building complex SQL, PySpark, and Pandas pipelines.
• Experience with orchestrating workflows using Airflow or similar tools.
• Experience with architecting solutions on AWS or equivalent public cloud platforms.
• Experience with Git, CI/CD pipelines, Docker, and Kubernetes.
• Familiarity with Large Language Models (LLMs) and generative AI modalities.

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, EMR, Sagemaker, DataDog, and Data Governance tools.

Benefits

• Competitive base salary between $155k and $205k, depending on experience.
• Generous stock grant.
• Bonus of around 15%.
• 100% remote work.
• 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.
• A modern productivity toolset including Slack, Miro, Loom, Lucid, Google Docs, Atlassian.
• Generous company discounts.
• Eligible for donation matching to over 1.5 million nonprofit organizations.