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Staff Machine Learning Engineer
2 months ago
Rippling is a unified workforce platform that streamlines HR and IT operations for businesses. By connecting all business systems to a single source of truth for employee data, Rippling automates manual work and enables seamless employee onboarding, payroll, benefits, and IT management.
The RoleWe are seeking a highly skilled Staff+ Machine Learning Engineer to join our team. As an engineer working on large language models (LLMs), you will collaborate with product teams to build tools that drive innovation in our products and services.
Key Responsibilities- Translate business requirements into models and work with cross-functional teams to develop scalable machine learning pipelines.
- Design and implement models in our production code base, primarily using Python and Go.
- Stay up-to-date with the latest research in ML and related fields, and apply this knowledge to improve Rippling products.
- Ph.D. or equivalent in Computer Science, Engineering, Mathematics, or related field, and 5+ years of full-time Software Engineering experience; or
- 5 years of full-time Software Engineering experience, including 4+ years in areas such as advertising, recommendation systems, risk/fraud modeling, or natural language processing.
- Comfortable with hands-on programming and ability to communicate complex technical ideas with clarity and precision.
- Experience with developing things that use large language models (LLMs) and familiarity with pre-training and fine-tuning techniques.
Rippling is an equal opportunity employer committed to building a diverse and inclusive workforce. We do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email us.
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees, Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
