Greenhouse Software

Senior Machine Learning Engineer

Greenhouse Software

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $154,000 - $192,750 per year

Job Level

About the role

  • Develop software applications with a strong focus on machine learning
  • Train deep learning models using PyTorch and Transformers and experiment with (new) techniques to reduce their memory footprint, speed them up, or increase their accuracy
  • Deploy software applications, including deep learning models, in production, using AWS and Greenhouse’s internal tools
  • Partner with other members of the R&D team to uplevel their comfort and familiarity with shipping Machine Learning features
  • Help set vision and strategy for AI within our product suite
  • Develop applications that are compliant with our AI policies that prioritize privacy, security, ethical concerns, and best practices while handling data
  • Contribute to and build all phases of the AI system lifecycle from ideation, model development, testing, evaluation, improvements and monitoring

Requirements

  • Degree or recent experience relating to Machine Learning
  • Experience with NLP and large language models
  • Experience 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
  • Strong Python experience
  • Experience training and experimenting with deep learning models as well as serving them in production
  • Experience with transformers and other HuggingFace libraries
  • Experience designing and consuming APIs
  • An ability to build consensus while creating space for others
  • Excellent prioritization and time management skills
  • 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
  • Your own unique talents!
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 calendar year
  • up to 80 hours of paid sick leave
  • paid vacation time annually
  • flexible paid time off (PTO)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdeep learningPyTorchTransformersNLPlarge language modelsPythonAPIsDockerdecision trees
Soft Skills
building consensusprioritizationtime management
Certifications
ISO 42001NIST AI RMF