Senior Machine Learning Engineer
Included Health10 days ago
Remote, United StatesSenior / Mid Level
H1B Sponsor
Base Salary
$161k - $273k/yr
Responsibilities
- Lead the design, deployment, and operation of production machine learning systems.
- Build and improve infrastructure for the ML lifecycle, including training pipelines and inference workflows.
- Partner with stakeholders to translate business problems into practical ML solutions.
- Guide the transition from prototype to robust production systems.
- Improve developer experience by creating reusable patterns and documentation.
- Design workflows for model evaluation, monitoring, and performance tuning.
- Build systems that support explainability and auditability of ML outputs.
- Collaborate with engineering teams to define clear interfaces for data platforms and model pipelines.
- Make technical tradeoffs across latency, cost, complexity, and model quality.
- Provide technical leadership and mentorship to other engineers.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field.
- 4+ years of experience building and deploying machine learning systems in production.
- Proficient in the full ML lifecycle, including training, evaluation, deployment, and monitoring.
- Experience with ML infrastructure, including training pipelines and inference systems.
- Deep programming skills in Python and experience with ML libraries like PyTorch or TensorFlow.
- Experience with cloud-based ML platforms such as AWS SageMaker or Vertex AI.
- Proficient SQL and data modeling skills with experience in large-scale datasets.
- Strong system design skills and ability to evaluate tradeoffs.
- Demonstrated product judgment and ability to frame ambiguous problems.
- Strong collaboration and communication skills.