Baseten
Forward Deployed Engineer (Training)
Rol remoto de Training con fit claro de ubicación del candidato.
Publicado22 jul 2026
Países elegibles1 país aceptado
Señal de seniorityNivel abierto
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
Forward Deployed Engineer (Training)
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Details
- Baseten Loops beta launch
- Training Infra GA launch
- Autoresearch on Baseten
- Dense, on-policy, or both?
- Repeated KV cache for long-running agents
- Distillation without the dark – replicating black-box on-policy distillation on Baseten
- Develop and maintain software systems and product features using Python in a production-level environment.
- Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end: problem framing, evaluations, post-training approach and experiment design, experimentation, quantization, and production deployment. This involves working with customers’ engineering teams at every stage of the customer journey, including sales, implementation, and expansion.
- Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers.
- Optimize and enhance our post-training solutions, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with engineering and product teams.
- Own products and customer projects end-to-end, functioning as an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.
- Navigate ambiguity and exercise good judgment on the tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
- Demonstrate pride, ownership, and accountability for your work, and expect the same from your teammates.
- Experience working with RL and SFT for large language models.
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field.
- 2+ years of professional work experience in a fast-paced, high-growth environment.
- Python proficiency.
- Strong communication skills, particularly on complex technical topics.
- Competitive compensation, including meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
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