About the company
The position is listed on behalf of a partner company looking for a Senior Machine Learning Engineer, Ranking based in the United States.
Responsibilities
- Improve and evolve existing machine learning ranking models.
- Take end-to-end ownership of machine learning systems, including data pipelines, candidate extraction, feature engineering, model training, evaluation, and integration into production.
- Advance second-stage ranking models that power personalized feeds and digest emails.
- Identify opportunities to apply machine learning across different product experiences.
- Collaborate with other machine learning engineers to design, implement, and optimize algorithms and systems.
- Develop reusable methodologies, technical approaches, and engineering practices.
- Experiment with new modeling techniques and continuously improve system performance.
- Contribute to a collaborative engineering culture.
Requirements
- At least 3 years of professional experience developing recommendation systems or ranking models.
- Strong understanding of the mathematical foundations underlying machine learning algorithms.
- Previous experience designing, building, and deploying end-to-end machine learning systems in production.
- A bachelor's, master's, or doctoral degree in Computer Science, Engineering, or a related technical discipline.
- Strong communication and interpersonal skills.
- Availability for meetings during 9:00 a.m. to 3:00 p.m. Pacific Time, Monday through Friday.
- Preferred: At least 5 years of experience writing production-quality Python or C++ code.
- Preferred: Experience with generative recommendation systems and modern recommendation modeling techniques.
- Preferred: Familiarity with user behavior modeling, user sequence modeling, transformers, or long-sequence modeling.
- Preferred: Experience leading large-scale technical projects.
Conditions
- Medical, dental, and vision coverage, depending on the country of employment.
- Equity refreshers and access to a flexible equity program.
- Remote work reimbursement.
- Paid time off.
- Employee assistance programs.
- Competitive compensation for candidates based in Canada: Toronto and Vancouver: CAD $243,330–$282,076, plus equity and benefits; Other Canadian locations: CAD $227,108–$263,271, plus equity and benefits.