Lead ML Engineer
MachinifySalary not specified
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries
Requirements
Candidates should possess a proven track record designing and deploying reinforcement learning systems, particularly utilizing Monte Carlo Tree Search (MCTS) and policy/value network frameworks. They should have a deep understanding and practical experience with vector databases, graph databases, graph neural networks (GNNs), and their applications in RL, along with familiarity with search, recommendation, and decision-making systems within complex, two-sided marketplaces.
Responsibilities
The Lead Machine Learning Engineer/Scientist will design and implement reinforcement learning approaches for reasoning and planning, leveraging techniques such as Monte Carlo Tree Search (MCTS) and AlphaGo-like planning algorithms. They will integrate knowledge graphs and vector databases to enhance context-awareness and decision-making capabilities of RL systems, collaborate with trust and safety stakeholders to investigate explainability and interpretability in reinforcement learning, lead cross-functional efforts in advancing RL models from research to production, and mentor junior engineers while delivering measurable outcomes aligned with strategic goals.
Skills
Reinforcement Learning
Monte Carlo Tree Search
AlphaGo-like planning algorithms
Knowledge Graphs
Vector Databases
Decision-Making
Information Retrieval
AI and Machine Learning
Scalable Systems
Research and Development
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Key Metrics
San Francisco, CaliforniaHeadquarters
2015Year Founded
$143.8MTotal Funding
IPOCompany Stage
Consulting, Enterprise SoftwareIndustries
10,001+Employees