Founding ML Engineer - Outspeed
San Francisco Bay Area
Pear VC
We’re seed specialists that partner with founders at the earliest stages to turn great ideas into category-defining companies.About Us
Outspeed is creating the most lifelike conversational voice systems to augment human-computer interaction. We are building the infrastructure and tools to unlock applications in therapy, coaching, companionship and gaming.
Outspeed is led by an experienced team of researchers and engineers with collective experience from MIT, Google, and Microsoft. Our team is based in San Francisco and values empathy, deep technical knowledge, and autonomy.
Janak earned his bachelor's and master's degrees from MIT and built grid-scale AI algorithms and infra at Autogrid (acq. Schneider). Sahil is a published researcher who led AI infra efforts at Google and Microsoft.
Role Description
As a Founding Engineer, you will play a pivotal role in shaping the company's technical direction.
You will get to build and scale our GPU infrastructure for realtime AI performance, optimizing inference engines for lowest latencies, distributed inference and finetuning voice models. You will also engage directly with our customers, and contribute heavily to the architectural roadmap. Your technical leadership will be instrumental in supporting and growing our engineering and product teams.
This role requires a proactive individual comfortable working in a fast-paced environment with frequently shifting priorities.
Benefits
Competitive salary + Equity
Health, dental, and vision insurance.
Bonuses based on performance
We are a company founded by immigrants, and we are committed to providing support to immigrant workers throughout their journey.
Requirements
Experience in end-to-end ML application development, including data engineering, model tuning, and model serving
Experience contributing to the architecture and design of resilient, large scale distributed ML systems
Strong understanding of ML development technologies such as Pytorch, Transformers, CUDA etc.
Strong understanding of ML inference technologies such as vLLM, sglang, llama.cpp etc.
Nice-to-haves
Strong understanding of IaC technologies like Docker, Kubernetes, Nomad, Terraform and Firecracker
Strong understanding of public cloud features (e.g. SDN, block storage, distributed file systems, identity management)
Enjoy moving fast and making a large business impact
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture CUDA Docker Engineering GPU Kubernetes LLaMA Machine Learning PyTorch Terraform Transformers vLLM
Perks/benefits: Competitive pay Equity / stock options Health care
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