Forward Deployed Engineer (Training)
Key Skills for This Role
Full Job Posting
REQUIREMENTS
- Minimum 1-2 years of software engineering experience, shipping and maintaining code in large production systems, ideally with breadth across the stack
- Experience debugging complex production issues - working through logs, metrics, and traces to root-cause problems in unfamiliar systems
- Confidence owning ambiguous technical problems. This includes triaging, making decisions under uncertainty, and knowing when to pull in other engineers who own the underlying systems
- Motivation beyond pure engineering. An interest in wanting to work directly with customers, understand their problems firsthand, and influence the product
- Clear communication on complex technical topics, whether you're talking to a customer's engineers or their leadership
- Genuine curiosity about AI inference and training, and a drive to become an expert in the infrastructure powering it
- Willingness to respond to customers outside regular working hours and participate in an on-call rotation
- Excitement about solving problems for some of the largest and fastest-growing companies in the world running mission-critical AI workloads
- WHAT YOU'LL BRING
- We don't expect any one person to cover all of this - the strongest candidates may spike in one or two of the following:
- Depth in a core infrastructure domain such as storage systems or networking (anywhere from the cloud layer to cluster interconnects like InfiniBand and RoCE)
- Experience operating distributed compute platforms like Kubernetes, Slurm, or Ray, especially for GPU workloads
- A detailed understanding of LLM architectures and modern inference engines like vLLM, TensorRT-LLM, or SGLang
- The ability to profile and optimize GPU workloads, in training or serving
- Hands-on experience with post-training techniques like SFT and RL, or a broader deep learning background plus fluency in a tensor computation library like PyTorch or JAX
- Operational depth - running on-call, leading incident response, debugging distributed systems under pressure
BENEFITS
- 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.
- Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
- At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
- We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
About Baseten
Baseten is an inference platform for deploying and scaling open-source and custom AI models, providing GPU infrastructure optimized for low-latency production workloads.
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