Lead Data Scientist (Agentic AI) jobs in United States
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Ditto · 5 hours ago

Lead Data Scientist (Agentic AI)

positionSan Francisco County, CA
timeFull-time
remoteOnsite
seniorityLead/Staff
date10+ years exp

Ditto is building the agentic social network, a platform where profiles are AI agents that learn and adapt to help people form meaningful connections. They are seeking a Lead Data Scientist to design and manage the learning systems that allow these agents to improve continuously through real-time feedback and experience.

Artificial Intelligence (AI)Social MediaSocial Network
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H1B Sponsor Likelynote
Hiring Manager
Taylor Zou
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Responsibilities

Design and own the learning backbone that allows Ditto’s agents to improve safely over time
Build systems that capture continuous experience streams, transform signals into rewards grounded in real outcomes, feed those rewards back into agents, prevent drift while still allowing improvement, help the system reason and plan based on consequences, not guesswork
Own the full loop: data → experience → reward → feedback loops → discovering leverage points → adaptation → product outcomes
Architect the data engine that powers experiential learning
Measure long-term improvement, not one-off wins
Uncover hidden compatibility through matchmaking & recommendation signals
Let agents plan based on predicted consequences
Build experimentation frameworks (A/B tests, bandits, sequential testing)
Implement drift detection & safety monitors
Design reinforcing loops that compound value responsibly
Design balancing loops that stabilize trust, fairness, and safety
Identify and avoid system traps (gaming metrics, tragedy-of-the-commons patterns)
Push on leverage points that change behavior — not just parameters

Qualification

Applied MLLLM-enabled systemsBehavioral pipelinesFeedback loopsData engineeringLangGraphLangChainReward shapingValue estimationWorld modelingTemporal learningLong-horizon feedbackSocial graphsTrust & safetyAnomaly detectionCausal inferenceReinforcement learning

Required

10+ years in applied ML / data science (production)
3+ years building LLM-enabled systems
built behavioral pipelines that drive real agent / product behavior
designed feedback & reward loops end-to-end
hands-on large-scale data engineering
deep, practical experience with agent frameworks, including: LangGraph (preferred), LangChain, or equivalent agent-orchestration frameworks in production
experience feeding data back into agents to actually change behavior
strong grounding in: reward shaping, value estimation, world modeling, temporal / TD learning, long-horizon feedback loops

Preferred

social graphs, matchmaking, recommendation systems
trust & safety, anomaly detection, abuse prevention
causal inference / world-model thinking
reinforcement learning or TD-style learning
experience grounding rewards in real outcomes, not proxy metrics

Company

Ditto

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dateFounded in 2022
location
Berkeley, California, USA
people-size11-50 employees
web-link
https://mydodo.world

H1B Sponsorship

Ditto has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (1)

Funding

Current Stage
Early Stage
Total Funding
unknown
2022-10-20Pre Seed

Leadership Team

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Eric Liu
Co-Founder
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Company data provided by crunchbase