Sr. Machine Learning Engineer

Strong appreciation for our core values: low ego results, tireless service, and applied curiosity.

5+ years experience developing, optimizing, troubleshooting, and maintaining large-scale machine learning/AI or systems.

Experience in DevOps and/or MLOps: continuous integration and delivery, automation of ML workflows, and deployments to production environments.

Experience deploying/building LLM Agents for agentic workflows.

Understanding of model testing and validation techniques for ensuring model quality and performance.

Proficient in Python and data science libraries (Pandas, Scikit-Learn, Keras, PyTorch, Tensorflow).

The compensation for this position may vary depending on factors such as your location, skills and experience. Depending on the nature and seniority of the role, a percentage of compensation may come in the form of a commission-based or discretionary bonus. Equity and additional benefits will also be awarded.

$203,000

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$230,000 USD

Lead to the full range of development stages for AI/ML projects, from early explorations to productization and maintenance.

Work closely with data scientists and network security experts to design and implement scalable ML pipelines for large datasets.

Design and implement strategies to deploy LLMs and for fine-tuning.

Conduct experiments, analyze results and resource consumption using various metrics and visualization techniques.

Drive adoption of ML development best practices in code health, quality, test stability and maintainability.

Participate in technical discussions within the Labs team and collaborate with other teams across the organization.