Overview
(Hybrid Remote) Exciting ML/AI Engineer Opportunity with Thriving Health Tech Organization!
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Job Details
We are seeking an experienced and passionate Senior Machine Learning Engineer to join our team. This is an exciting opportunity to work with a team of talented engineers and data scientists, leveraging cutting-edge technologies to design, develop, and deploy advanced machine learning models.
Salary: $65,000 - $100,000 per year
Location: Hybrid Remote
Why join us?
Competitive Base Salary
Ownership of feature development across the platform
Best in class healthcare, dental, vision, benefits across the board
Accelerated Career Growth
Extremely talented engineering leadership team to partner with on your path to further your career
Tackle challenging engineering tasks with state of the art new technology
Responsibilities
Collaborate with Engineering, Product, and Design to ensure ML features are optimized.
Develop and deploy ML Pipelines through building end to end solutions, from data exploration to model deployment.
Utilize AWS for cloud-based model deployment and Kubernetes for orchestrating and automating tasks.
Lead advanced analysis to uncover insights and drive product decisions.
Qualifications
BS or above in Computer Science, Statistics or a related technical field
5+ years of experience in Machine Learning, with proven track record of bringing ideas to life, from prototype to productized features
Strong proficiency in Python and hands-on with advanced data analysis tools
Strong skills in data engineering and self-sufficient in data pipelines for the AI workflow
Experience with AWS (or other cloud platforms) for model deployment
Comfortable designing and evaluating LLM-driven workflows
Familiarity with retrieval pipelines and vector databases
Problem-oriented mindset with strong cross-disciplinary thinking and a bias toward simplicity and clarity in solving problems
Comfort working with remote teams, using Git Hub, Slack, Notion, and Zoom
Proficiency in English with strong communication and collaboration skills
Bonus Points
Experience with RAG architecture and context/state management for LLMs
Familiarity with LLM eval tools and human-in-the-loop evaluation process
Experience with Outerbounds or similar ML orchestration platforms
Experience with Argo Flows for CI/CD
Experience with prompt management tools like Langfuse
Familiarity with Kubernetes for container orchestration
Background in healthcare, clinical workflows, or regulated domains
Equal Opportunity
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
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