Senior Machine Learning Engineer

• 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 • You should have • You should have • 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 librariesExperience designing and consuming APIs • An ability to build consensus while creating space for othersExcellent 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! If you don’t meet 100% of the qualifications outlined above, tell us why you’d be a great fit for this role in your cover letter • Applicants must be currently authorized to work in the United States on a full-time basis. • If you are based in California, we encourage you to read this important information for California residents linked here. • The national pay range for this role is $154,000 - $192,750. Individual compensation will be commensurate with the candidate's experience and qualifications. Certain roles may be eligible for additional compensation, including stock option awards, bonuses, and merit increases. Additionally, certain roles have the opportunity to receive sales commissions that are based on the terms of the sales commission plan applicable to the role. • Greenhouse provides a variety of benefits to employees, including medical, dental, and vision insurance, basic life insurance, mental health resources, financial wellness benefits, and a fully paid parental leave program. For US-based employees, we offer short-term and long-term disability coverage, a 401(k) plan and company match. U.S. based employees also receive, per calendar year, up to 14 scheduled paid holidays and up to 80 hours of paid sick leave. Non-exempt employees accrue up to 20-25 days of paid vacation time annually, depending on tenure, and exempt employees have flexible paid time off (PTO). • The anticipated closing date for this role is February 20th, 2026