Greenhouse Software
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Machine Learning Engineer
Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 501-1,000Since 2012H1B SponsorCompany SiteLinkedIn
Location
United States
Posted
46 days ago
Salary
$141K - $176.8K / year
Bachelor DegreeEnglishAWSDockerPython
Job Description
• Own well-scoped ML components or models: You will take ownership of specific components, executing on defined problems with guidance
• Train and deploy models using established patterns, and ship models to production following existing tooling and standards
• Monitor and debug models with help from senior engineers, and work to improve model performance incrementally
• Implement AI governance, privacy, and security requirements as defined
• Collaborate within the team and with partner functions, while communicating progress, risks, and blockers clearly
Job Requirements
- Degree or recent experience relating to Machine Learning
- Familiarity with implementing safe, ethical, and compliant ML systems (familiarity with ISO 42001/NIST AI RMF and the associated common controls)
- Experience deploying, monitoring, and improving ML models at a technology company
- A strong grasp of Python
- Experience training and experimenting with deep learning models as well as serving them in production
- Experience with transformers and other HuggingFace libraries
- Experience building and consuming APIs
- An ability to build consensus while creating space for others
- Excellent prioritization and time management skills
- Experience with NLP and large language models, a plus
- Experience with machine learning models which are not deep learning (e.g. decision trees), a plus
- Experience using Docker and AWS (SageMaker endpoints, SageMaker notebooks, S3, IAM), a plus
Benefits
- Medical, dental, and vision insurance
- Basic life insurance
- Mental health resources
- Financial wellness benefits
- Fully paid parental leave program
- Short-term and long-term disability coverage
- 401(k) plan and company match
- Up to 14 scheduled paid holidays per year
- Up to 80 hours of paid sick leave per year
- Up to 20-25 days of paid vacation time annually depending on tenure
- Flexible paid time off (PTO)
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