Back to Jobs

Founding ML Engineer - Outspeed

Remote, USA Full-time Posted 2026-06-25

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

Apply to this Job

Similar Jobs

Engineering Manager, Platform

Remote, USA Full-time

Senior Data Engineer

Remote, USA Full-time

Senior UX Designer - GoodRoots

Remote, USA Full-time

Payment Partnership Manager

Remote, USA Full-time

Lifecycle Marketing Manager

Remote, USA Full-time

Account Executive (Fleets) - Piston

Remote, USA Full-time

Staff Full Stack Engineer, Payments

Remote, USA Full-time

Telehealth Physician (Alberta)

Remote, USA Full-time

Acquisitions Manager, Podcasts

Remote, USA Full-time

AI Marketer (Vibe Marketer)

Remote, USA Full-time

Exercise Physiologist – Wellness – Carilion Wellness Roanoke (Roanoke, VA, US, 24018)

Remote, USA Full-time

Senior Financial Analyst, Google Cloud Solutions - Unlock Your Potential in Cloud Finance

Remote, USA Full-time

Experienced Live Chat Customer Service Representative – Remote Work Opportunity with arenaflex

Remote, USA Full-time

HRLR Site Lead - CCA (Customer Care & Aftersales)

Remote, USA Full-time

Experienced Remote Inbound Customer Service Agent – Flexible Scheduling and Bonus Opportunities for Independent Contractors

Remote, USA Full-time

Experienced Retail Customer Care Representative – Delivering Exceptional Service and Driving Sales Growth in a Dynamic Retail Environment

Remote, USA Full-time

Applied AI engineer: pricing analytics - Fintech foundation (100% Remote - USA)

Remote, USA Full-time

Conversion Rate Optimization Specialist

Remote, USA Full-time

Experienced Customer Success Manager – Driving Customer Satisfaction and Success in Live Online Education

Remote, USA Full-time

Experienced Full Stack Data Entry Clerk – Entry-Level Position for Career Growth at arenaflex

Remote, USA Full-time