Software Engineer, Baseten
Voice AI, Inference Runtime
$165-330k
+ Equity
ML application builder for data scientists
Open for applications
ML application builder for data scientists
101-200 employees
Open for applications
$165-330k
+ Equity
101-200 employees
Company mission
To make machine learning accessible to every organisation.
Role
Who you are
- Bachelor's degree or higher in Computer Science or related field
- Proven track record owning production-grade real-time, large-scale systems where tail latency (p99) matters
- Proficient coding abilities in one or more popular programming or scripting languages; Python proficiency is a plus
- Good taste in product, particularly developer-oriented tools
- Interest in ML/AI infrastructure and willingness to learn
- Strong collaboration and communication skills
- Comfortable using AI coding assistants (e.g., Claude Code, Codex, Cursor) as a daily productivity multiplier — as an AI-native company, we see this as a must-have skill
Desirable
- Experience implementing pipeline-level model runtime optimizations such as dynamic batching, async scheduling, or decode-side throughput improvements
- Experience building developer platforms: SDKs, CLIs, APIs, and self-serve workflows for ML or infrastructure products
- Experience with containerization and orchestration technologies (Docker, Kubernetes), service meshes, or distributed scheduling
- Familiarity with speech/audio ML models (STT, TTS, speech-to-speech)
- Familiarity with model-serving runtimes (vLLM, TensorRT, ONNX)
- Familiarity with systems-level performance profiling across host-device boundaries (e.g. PyTorch Profiler), diagnosing GPU utilization issues
- Exposure to customer-facing engineering: pre-sales prototyping, technical discovery, or working directly with customers to ship solutions
What the job involves
- Voice is becoming the internet’s next interface, but a production-grade Voice AI system is "hard to build"
- You’ll join a small founding team of Baseten Voice AI, focused on bringing state-of-the-art open source models into production for Voice AI customers across productivity, customer service, clinical conversation, creator tools, education, and more
- You’ll make a meaningful impact on people’s daily lives and help reshape these industries
- This is a high-impact, high-ownership role
- You will be the primary owner of Baseten Voice AI - our in-house inference stack to power Voice AI models - from product roadmap through engineering implementation
- You’ll partner closely with Forward Deployed Engineers, Model Performance Engineers, and sister engineering teams to push the boundaries of Voice AI
- Own and lead Voice AI product areas end-to-end — from architecture and system design through implementation, rollout, and long-term production operations
- Design, build, and operate real-time, large-scale, high-performance model serving systems for STT, TTS, and voice agent workloads with clear SLOs for mission-critical customer deployments
- Drive cross-team collaboration with sister engineering teams to solve full-stack technical problems, aligning on priorities, and coordinating end-to-end delivery across the product surface area
- Mentor teammates through code reviews, design docs, and technical leadership
Our take
As with its mathematical namesake, Baseten focuses on simplifying the complex. The San Francisco startup focuses on simplifying the integration of artificial intelligence into businesses. The tools that Baseten build demolish the need for businesses to hire specialised engineers, utilising the huge strides in artificial intelligence that we’ve seen in the last few years, all without adding workload to businesses.
With serious funding behind it, Baseten has grown its team by three times year-over-year over the last five years. Specifically, it's hired across engineering and marketing, gaining talent from companies such as GitHub, Google, Uber, Amazon, and Palantir. Part of Baseten's focus is on helping companies implement the tools that they have at their disposal, a long-overlooked aspect of machine learning that many businesses have been eager to champion, but are uncertain about how to actually use.
Simplifying the complex world of artificial intelligence for business is no mean feat, but with hundreds of millions in funding behind it and a $5 billion valuation reported in 2026, the company is well on its way to market domination. What's more, the three founders, who met whilst working as engineers at Gumroad, have a lot of experience in navigating this gap in the market.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Jan 2026
$300m
LATE VC
Sep 2025
$150m
SERIES D
Total funding: $585m
Company benefits
- Remote-first work environment. The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. Today, our team (including our founding team) is spread across the United States, Canada, and Armenia. We provide a $1,000 stipend for you to make your home-office comfortable and productive
- Regular in-person team summits. We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better
- Unlimited PTO. We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year's Day
- Full healthcare coverage. Medical, dental and vision insurance for you and your family
- Paid parental leave. 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work
- Company-sponsored 401(k) for you to contribute to
- Learning and development budget. We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen
Company HQ
Union Square, San Francisco, CA
Leadership
Tuhin Srivastava
(Co-Founder)Previously Co-Founder at Shape, Machine Learning at Gumroad and Skulpt.
Amir Haghighat
(Co-Founder)Previously Head of Engineering at Gumroad, Software Engineer at Yelp and Engineering Manager at Clover Health.
Phillip Howes
(Co-Founder)Previously Co-Founder at Shape, Machine Learning Engineer at Gumroad and Research Assistant at the University of Sydney.
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