Lead architect and technical lead for autonomous marketplace decisioning systems, guiding research-to-production ML/RL pipelines and generative AI tools.
Responsibilities
Architect and implement end-to-end reinforcement learning pipelines for pricing, dispatch, and supply repositioning
Design latent world models and spatio-temporal marketplace state representations
Establish off-policy evaluation frameworks and safety guardrails
Build behavioural simulation systems using fine-tuned LLMs
Partner with backend, streaming, and platform engineering teams to deploy low-latency decision agents
Requirements
PhD in Computer Science, Operations Research, Applied Mathematics, or related quantitative discipline
Master’s degree with 12+ years of equivalent experience
Lead and grow the AI x Lab Integration team, setting research agenda for laboratory reasoning models and translating scientific intent into executable experiments.
Locations (2)
Cambridge, Massachusetts, United States
San Francisco, California, United States
Compensation
$360,000—$570,000 USD
Responsibilities
Set research agenda for protocol understanding and intent-to-protocol generation
Recruit and mentor researchers and engineers
Lead supervised fine-tuning, reinforcement learning, and tool use research
Establish rigorous evaluation of protocol skills and decision-making
Partner with domain scientists and laboratory execution teams
Requirements
PhD in Machine Learning, Computer Science, Robotics, Computational Science, or related field
Nice to have: Procedural reasoning
Nice to have: Program synthesis
Staff Engineer, Hivemind Reasoning
f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Oct 19, 2026
Design, implement, train, adapt, and evaluate reasoning and cognition models for unmanned autonomous platforms.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Design, implement, train, adapt, and evaluate reasoning and cognition models for unmanned autonomous platforms.
Make and validate tradeoffs among foundation-model approaches, including vision-language models (VLMs) and vision-language-action models (VLAs), specialized deep-learning models, and traditional AI/ML methods.
Develop capabilities for interpreting context, reasoning over time, coordinating among agents, and adapting to incomplete or changing information.
Build reproducible training and adaptation workflows using appropriate combinations of self-supervised learning, supervised fine-tuning, imitation learning, reinforcement learning, and distillation.
Define data requirements, training objectives, benchmarks, and evaluation methods that support meaningful comparisons among model approaches.
Requirements
BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
Nice to have: MS or PhD in Computer Science, Electrical Engineering, or similar degree
Nice to have: Optimising and deploying ML models to resource-constrained hardware platforms
Senior Manager, Engineering - Hivemind Reasoning
f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Oct 19, 2026
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Build & lead the team that designs, trains, adapts, and evaluates reasoning and cognition models intended for deployment across unmanned platforms
Define the technical roadmap for single-agent and multi-agent models, including architecture choices, training methods, data strategy, and evaluation criteria
Advance model capabilities for interpreting context, reasoning over time, coordinating among agents, and adapting to incomplete or changing information
Drive training efforts, including self-supervised learning, imitation learning, reinforcement learning, and distillation
Establish rigorous evaluations in simulation and with real-world data
Requirements
Bachelor's degree
Master's degree
PhD
Nice to have: PhD in Computer Science or related field
Nice to have: optimizing and deploying ML models to resource-constrained hardware
As a Sr Principal AI Researcher, you will advance the cybersecurity capabilities of large language models and autonomous AI agents by combining security research, rigorous evaluation, and applied LLM post-training.
Compensation
$163,200.00 - $264,000.00/yr
Responsibilities
Design reproducible training and evaluation environments for complex cybersecurity tasks, including vulnerability research, threat analysis, detection, investigation, remediation, secure coding, and autonomous security workflows.
Transform source-code repositories, vulnerabilities, security incidents, malware samples, threat intelligence, detection logic, patches, test harnesses, and security tools into structured tasks for LLMs and AI agents.
Develop high-quality security datasets, including synthetic data, hard negatives, adversarial examples, expert annotations, and model-generated trajectories.
Build reliable graders, verifiers, and reward signals using tests, compilation, runtime behavior, security-tool outputs, detection results, vulnerability reproduction, and other domain-specific validation methods.
Design evaluations for security reasoning, code understanding, threat analysis, root-cause analysis, tool use, long-horizon execution, and autonomous task completion.
Lead the architecture, development, deployment, and ongoing evolution of AI initiatives across a global consumer SuperApp. This is a hands-on technical leadership role focused on open-source foundation models, self-hosted infrastructure, and production AI systems.
Compensation
Compensation is accrued and payable following funding, after which it transitions to a regular salary, equity ownership, and OleX token participation in the overall OleOle group of companies.
Responsibilities
Establish overall AI architecture
Lead initiatives including AskOle
Lead real-time multilingual translation
Develop AI-powered sports history and content generation systems
Develop the sports data engine
Requirements
Nice to have: building consumer AI platforms at scale
Nice to have: multilingual and multimodal AI engineering
Director / Senior Director, AI x Lab IntegrationNewLila Sciences · Cambridge, US+1 more
Staff Engineer, Hivemind Reasoningf7d8749a-72d6-407c-bf98-292ea630c73a · San Mateo, US