Software Engineer - Training Infrastructure

The Consensus; New York (NY); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation, including equity

100% coverage of medical, dental, and vision insurance

Flexible PTO policy including company-wide Winter Break

Paid parental leave

Fertility and family-building stipend

Company-facilitated 401(k)

Exposure to ML startups for learning opportunities

Job summary

The Consensus is looking for a Software Engineer to join the Training Infrastructure team. You will design and develop a robust training platform, making architectural decisions for infrastructure that supports high performance.

The ideal candidate has a Bachelor’s degree in Computer Science and strong proficiency in Go, along with deep knowledge of Kubernetes and cloud technologies. The position offers competitive compensation and a variety of benefits.

Qualifications

• Bachelor’s degree or higher in Computer Science or related field.
• Proficiency in Go, experience with Python is a plus.
• Deep expertise with Kubernetes in production.

Responsibilities

• Design and architect scalable infrastructure systems for ML training.
• Partner with developers to translate training requirements into solutions.
• Drive long‑term improvements to improve reliability of systems.

Skills

Go

Python

Kubernetes

AWS

GCP

Distributed systems concepts

ML/AI workloads

MLOps platforms

Education

Bachelor’s degree in Computer Science or related field

Tools

Kubernetes

AWS

GCP

Job description

ABOUT BASETEN

Baseten powers mission‑critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting‑edge models into production. We’re growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.

THE ROLE

As a Software Engineer on the Training Infrastructure team, you’ll architect and lead development of our training platform, supporting top‑tier research engineers and model developers. You’ll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor their workloads with high performance and reliability. You’ll own scheduling, storage, networking, reliability, and observability of technical systems in the training stack.

EXAMPLE INITIATIVES

Take a look at what we’ve built so far:

• Overview of the product so far
• Training docs overview
• Story of the Training product
• Research we've done

RESPONSIBILITIES

• Design and architect scalable infrastructure systems for our ML training platform (e.g. scheduling, storage, and networking)
• Partner closely with developers and research engineers to translate complex training requirements into technical solutions
• Design and architect a global training scheduler
• Design and architect reinforcement learning systems and continuous learning pipelines
• Drive long‑term improvements to improve reliability of systems and velocity of development
• Partner closely with SRE and Capacity teams to unlock state of the art training infrastructure
• Make critical architectural decisions balancing performance with system reliability
• Lead technical discussions and mentor junior engineers on infrastructure best practices
• Contribute to long‑term technical strategy and infrastructure roadmap

REQUIREMENTS

• Bachelor’s degree or higher in Computer Science or related field
• Proficiency in Go, with Python experience a plus
• Deep expertise with Kubernetes in production environments
• Extensive experience with major cloud providers (AWS, GCP) and neo‑cloud providers (Crusoe, DigitalOcean, Nebius) a plus
• Advanced understanding of distributed systems concepts and performance tuning
• Proven experience designing observability systems
• Experience with ML/AI workloads and MLOps platforms highly valued

NICHE TO HAVE

• Experience with distributed storage systems
• Experience with workload orchestration platforms like Temporal or Airflow
• Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainier) and distributed training techniques (FSDP, DeepSpeed)
• Experience developing AI products, tooling, or agents

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

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).