about 3 hours ago
Remote, United States
Staff+
H1B Sponsor
Base Salary
$230k - $322k/yr
Responsibilities
- Architect, build, and deploy large-scale ML systems for recommendations, search, and messaging.
- Lead projects from ideation through modeling, experimentation, and production.
- Design and improve recommender systems and ranking models.
- Optimize for user engagement and long-term value.
- Develop AI-powered search and recommendation experiences.
- Build pipelines for high-quality content discovery.
- Leverage LLMs and multimodal models for personalization.
- Evaluate model performance and reduce bias.
- Collaborate with Product, Data Science, and UX teams.
- Translate business needs into scalable ML solutions.
- Mentor engineers and establish best practices for ML development.
Requirements
- 6+ years of experience in building and deploying machine learning systems.
- Strong programming skills in Python, Go, or similar languages.
- Solid understanding of ML algorithms and architectures.
- Hands-on experience with modern ML frameworks like PyTorch or TensorFlow.
- Experience designing scalable ML pipelines and model serving infrastructure.
- Ability to work cross-functionally and translate product problems into technical solutions.
- Proven track record of driving measurable impact through applied machine learning.
Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs.
- 401k with Employer Match.
- Global Benefit programs that fit your lifestyle.
- Family Planning Support.
- Gender-Affirming Care.
- Mental Health & Coaching Benefits.
- Flexible Vacation & Paid Volunteer Time Off.
- Generous Paid Parental Leave.
Tech Stack
Apache AirflowApache KafkaApache SparkGoGoogle BigQueryPythonPyTorchRedisTensorFlowXGBoost
Categories
AI & MLData Science