Applied Data Scientist jobs in United States
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10a Labs ยท 20 hours ago

Applied Data Scientist

10a Labs is an applied research and AI security company trusted by AI unicorns and Fortune 10 companies. They are looking for an applied data scientist to develop evaluation frameworks, design red-teaming strategies, and support AI safety goals through adversarial testing initiatives.

Research

Responsibilities

Design the technical implementation of a robust red teaming project
Lead adversarial testing efforts (e.g., red teaming, evasion probes, jailbreak simulation) and analysis efforts
Work with researchers and domain experts to define labeling schemas and edge-case tests
Partner with ML and infrastructure engineers to ensure production readiness, observability, and performance targets
Communicate technical strategy and tradeoffs clearly across internal and client teams
Automate red teaming, including developing automated workflows for prompt generation, model evaluation, and execution of AI experiments; fine-tune LLMs or classification systems
Brainstorm novel research approaches to both known and emerging problems involving AI, data, and the internet

Qualification

Applied Data ScienceMachine Learning EngineeringRed TeamingPythonSQLJupyterScikit-learnPandasPyTorchHugging FaceAnalytical ThinkingTeam CoordinationCommunicationFast-paced Environment

Required

Degree (or equivalent work experience) in Data Science, Information Science, Computer Science with ML focus, or a related field (graduate degree preferred)
Background in data science, applied ML, or ML engineering, with proven experience in production-grade systems
Strong analytical toolkit (Python, SQL, Jupyter, scikit-learn, Pandas, etc.) and familiarity with modern ML tooling (e.g., PyTorch, Hugging Face, LangChain)
Experience working with LLMs and embedding-based classification systems
Excellent communication skills across strategy and technical domains
Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams
Has 3-5 years of experience in applied data science, ML product work, or security-focused AI, including technical leadership or staff-level ownership
Has designed and evaluated real-world ML systems with a focus on model behavior, error analysis, and continuous improvement
Can design red teaming workflows to surface model blind spots and failure modes
Operates effectively across ML, infra, and policy / strategy contexts
Thinks like a builder, analyst, and communicator all in one

Preferred

Safety evaluation, red teaming, or adversarial content testing in LLMs
Trust & safety or risk-focused classification systems
Annotation ops, feedback loops, or evaluation pipeline design
Experience with open-source model evaluation tools (Promptfoo, DeepEval, etc.)

Benefits

Performance-based annual bonus.
Support for conferences, continuing education, or leadership training.
Comprehensive health, dental, and vision coverage.
Generous PTO and paid holiday schedule.
401(k) plan.

Company

10a Labs

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10a Labs is an applied research and technology company specializing in AI security.

Funding

Current Stage
Early Stage
Company data provided by crunchbase