Senior Machine Learning Engineer developing and optimizing computer vision models for enterprise AI solutions at ABBYY. Leading projects and collaborating across teams to drive innovation in machine learning technology.
About the role
- Machine Learning Engineer building tools and systems for AI engineers at SimplePractice. Focused on creative problem-solving and hands-on technical work in healthcare tech.
Responsibilities
- Develop & Deploy ML Platform
- Build end to end solutions to ensure consistent tooling and governance for LLM/AI feature development
- Ability to design well-structured and performant RESTful APIs, including defining clear endpoints, request/response formats, and error handling.
- Work closely with Engineering, and other internal stakeholders of ML platform to develop platform roadmap
- Properly communicate timeline, milestones, and progress w/ internal stakeholders
- Drive stakeholder engagement, enablement and education to ensure the platform is well integrated into AI dev workflow
- Guide less experienced team members, sharing knowledge on model development, MLOps, and data engineering
- Champion a culture of experimentation, continuous learning, and proactive problem-solving
- Stay current with emerging ML tools and technologies, integrating new techniques that elevate our product capabilities
- Look for creative ways to leverage data to make clinicians’ lives easier, more efficient, and more effective
Requirements
- BS or above in Computer Science or a related technical field
- 5+ years of experience in software development, ideally on dev tools, with Python expertise for a part of your career
- Have experience with ML/LLM. Familiar with ML model workflow, from ideation, prototyping to deployment
- Proficiency in building data pipelines and tooling for ML feature pipelines
- Experience with AWS (or other cloud platforms) for model deployment
- Comfort working with remote teams, using GitHub, Slack, Notion, and Zoom
- Proficiency in English with strong communication and collaboration skills
Benefits
- Privatized Medical, Dental & Vision Coverage
- Work From Home stipend
- Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
- Monthly Meal Reimbursement
- Holiday Bonus, 15-day Aguinaldo
- Hybrid Work Schedule & Catered Lunch
- A relocation bonus for candidates joining us from a different city
- Employee Resource Groups (ERGs)
- Annual bonus
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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