Red Cell Partners - Member of Technical Staff, AI Researcher (New Stealth Startup)
Requirements
• 5+ years of relevant experience in machine learning, artificial intelligence, computer science, data science, software engineering, or a related technical field • Demonstrated ability to operate at the intersection of AI research and software engineering • Strong Python skills and experience building reliable, scalable software • Hands-on experience with AI agents, model evaluations, reinforcement learning, post-training, or related systems • Strong understanding of frontier AI methods, including benchmarks, evaluation techniques, agent harnesses, post-training approaches, and training-data design • Experience building or working with reward models, automated verifiers, graders, or other model-feedback systems • Experience designing evaluations or experiments that measure model capability, generalization, alignment, or agent performance • Ability to build research prototypes and develop them into maintainable, production-quality systems • Strong analytical, problem-solving, written communication, and technical documentation skills • U.S. citizenship is required • An advanced degree in machine learning, artificial intelligence, computer science, data science, or a related field is preferred but not required. Candidates with equivalent research and engineering experience, including strong technical, open-source, or published output, are encouraged to apply. • Salary Range: $250,000-400,000 + equity. This represents the typical base salary range for this position based on experience, skills, and other factors.
Responsibilities
• Design and build evaluation frameworks, benchmarks, and methodologies for frontier large language models, AI agents, multimodal models, and reinforcement learning environments • Develop reward models, programmatic verifiers, graders, and other feedback systems that make model behavior measurable and improvable • Design and run controlled supervised fine-tuning and reinforcement learning experiments to measure the effects of datasets on model capability, generalization, and alignment • Research and define what makes evaluations representative of real-world work and operational environments • Build systems for producing high-quality human data, including expert task design, annotation methodologies, data-quality signals, and data-attribution techniques • Translate research questions into lightweight, rigorous experiments that generate actionable findings • Prototype quickly, evaluate results, diagnose failure modes, and convert findings into improved benchmarks, datasets, or technical systems • Move promising methods from experimentation into scalable, production-quality implementations • Work across research, engineering, product, and operations to advance a shared technical roadmap • Contribute to the broader technical community through benchmarks, open-source tools, research, and technical writing • This Role is a Great Fit if You: • Are equally comfortable investigating an open-ended research question and building the system needed to test it • Approach AI research with a builder mindset and focus on producing measurable, usable outcomes • Are deeply interested in how data structure, selection, attribution, and quality affect model behavior • Can design focused experiments, interpret imperfect or ambiguous results, and translate findings into technical decisions • Are eager to move quickly without sacrificing rigor, maintainability, or engineering quality • Are comfortable working across unfamiliar domains and converting real-world workflows into measurable tasks • Demonstrate high agency, sound technical judgment, and a strong sense of ownership • Communicate complex technical concepts clearly to both technical and nontechnical stakeholders • Are comfortable operating in a fast-moving environment where priorities and technical approaches may evolve • Are motivated by the purpose and real-world impact of the work, not simply by access to emerging technologies
Benefits
• Our Red Cell Partners Benefits (may differ for each incubation): • For full-time roles • Career track opportunity with potential for rapid advancement with strong performance as the firm grows • 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. • Paid maternity and paternity for 14 weeks at employees' normal pay. • Unlimited PTO, with management approval. • Opportunities for professional development and continued learning. • Optional 401K, FSA, and equity incentives available. • Mental health benefits are available through Tara Mind. • Cost effective GLP-1 solutions available through Crux.
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