Reddit11 days ago
Senior Machine Learning Infrastructure Engineer, Embedding Platform
RUB 15,900–22,258per month · before tax
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
5,000half of the offers: 12,796–20,50043,793
At market · above 51% of offers
Remote - United States
Responsibilities
- 01Design, train, and improve large-scale machine learning platforms for recommendation or personalization systems
- 02Own and deliver major ML systems components end to end, from problem framing through production rollout
- 03Build and optimize end-to-end ML pipelines spanning data preparation, feature generation, training, evaluation, and deployment
- 04Improve distributed training, model efficiency, and online inference performance
- 05Apply modern modeling approaches including sequence modeling and related foundation-model techniques to Reddit use cases
- 06Develop reliable serving and monitoring patterns for low-latency, high-throughput production ML systems
- 07Work with cross-functional partners across product, relevance, ads, and core ML teams to deliver measurable improvements in user experience and business impact
- 08Drive rigorous offline and online evaluation, including experimentation, model diagnostics, and feedback-loop improvement
- 09Contribute to engineering quality through strong code, design reviews, documentation, and operational excellence
Requirements
- 015+ years of experience in machine learning engineering, with a strong focus on large-scale ML infrastructure and recommendation or personalization systems
- 02Expertise in modern deep learning architectures, including sequence models and foundational models
- 03Experience building or scaling ML platform for large datasets and high-traffic production environments
- 04Demonstrated ability to independently scope and execute ambiguous technical work, while owning high-quality implementation details
- 05Solid understanding of distributed training and inference concepts, such as data parallelism, model parallelism, pipeline parallelism, or related optimization techniques
- 06Proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or similar
- 07Strong software engineering fundamentals, including system design, debugging, testing, and performance optimization
- 08Experience with A/B testing, model evaluation frameworks, and real-time feedback loops in large-scale production systems
- 09Excellent communication skills, with the ability to effectively present complex ML concepts to technical and non-technical stakeholders
What we offer
- 01Comprehensive Healthcare Benefits and Income Replacement Programs
- 02401k with Employer Match
- 03Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- 04Family Planning Support
- 05Gender-Affirming Care
- 06Mental Health & Coaching Benefits
- 07Flexible Vacation & Paid Volunteer Time Off
- 08Generous Paid Parental Leave
- 09Remote work
- 10Equity in the form of restricted stock units
- 11May be eligible to receive a commission depending on the position