Senior Machine Learning Engineer

$155,000 - $235,000/Yr

Jobot - Nashville, TN

Full-time - Senior

Remote - Nashville, TN

Administrative and Support Services

About the position

As a Senior Machine Learning Engineer at our growing subsidiary of a large public company, you will play a pivotal role in leading the development and deployment of machine learning models and systems. This position is fully remote, allowing you to work from anywhere while contributing to innovative projects that leverage cutting-edge technology. You will be responsible for building, evaluating, scaling, and deploying machine learning pipelines, primarily using Python within the AWS ecosystem. Your expertise will guide the design, training, and evaluation of machine learning models, ensuring adherence to best practices in model selection, validation, and performance assessment. In this role, you will collaborate with cross-functional teams to orchestrate complex workflows and data pipelines, utilizing tools such as Airflow and various data processing frameworks. You will also be involved in MLOps practices, focusing on automated model deployment and performance monitoring. Your strong programming skills in Python, along with your experience in machine learning frameworks like TensorFlow, PyTorch, and scikit-learn, will be essential in driving the success of our machine learning initiatives. Additionally, you will have the opportunity to work with large language models and other generative AI modalities, applying them in production environments. Your ability to assess and implement new data tools will enhance our machine learning stack, making a significant impact on our projects and overall business objectives. This position offers a competitive salary, generous stock grants, and a comprehensive benefits package, including paid parental leave and tuition reimbursement, making it an excellent opportunity for experienced professionals looking to advance their careers in machine learning.

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, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.

Benefits

• Competitive base salary between $155k and $235k, depending on experience.
• Generous stock grant.
• Bonus of 10-20%, depending on experience.
• 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 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.