Acceler8 Talent
Base pay range
$150,000.00/yr - $250,000.00/yr
Direct message the job poster from Acceler8 Talent
⚡Tech Talent Partner | Startup Hiring Insights for Founders & Engineers | NYC/London We’re building the systems that power the next generation of video intelligence. As video continues to dominate the internet — driving entertainment, robotics, AR/VR, and social platforms — the demand for smarter, faster, and more scalable video infrastructure has never been higher.
Our team works with leading AI companies to develop large-scale data pipelines and tools that enable advanced video understanding. With rapid growth, strong investor backing, and a tight-knit team, we’re scaling fast and looking for engineers who want to push technical boundaries.
Why join
Work on cutting-edge AI systems for video, audio, and text understanding
Build end-to-end pipelines and high-performance ML building blocks
Collaborate directly with researchers and engineers shaping next‑gen video AI
Be part of a high-growth, fast-moving team in San Francisco
What you’ll do
Build and optimize pipelines to process video, audio, and text data at scale
Apply and improve ML models with pre/post‑processing, parallelism, and inference optimization
Work on ambiguous research problems and find practical, scalable solutions
Contribute to product‑level systems, not just isolated models
Compensation Up to
$250k
base, depending on experience
If building high-performance AI systems for video excites you, we’d love to hear from you.
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industries Engineering Services, Technology, Information and Media, and Software Development
Referrals increase your chances of interviewing at Acceler8 Talent by 2x.
Get notified about new Machine Learning Engineer jobs in
San Francisco Bay Area .
#J-18808-Ljbffr
Direct message the job poster from Acceler8 Talent
⚡Tech Talent Partner | Startup Hiring Insights for Founders & Engineers | NYC/London We’re building the systems that power the next generation of video intelligence. As video continues to dominate the internet — driving entertainment, robotics, AR/VR, and social platforms — the demand for smarter, faster, and more scalable video infrastructure has never been higher.
Our team works with leading AI companies to develop large-scale data pipelines and tools that enable advanced video understanding. With rapid growth, strong investor backing, and a tight-knit team, we’re scaling fast and looking for engineers who want to push technical boundaries.
Why join
Work on cutting-edge AI systems for video, audio, and text understanding
Build end-to-end pipelines and high-performance ML building blocks
Collaborate directly with researchers and engineers shaping next‑gen video AI
Be part of a high-growth, fast-moving team in San Francisco
What you’ll do
Build and optimize pipelines to process video, audio, and text data at scale
Apply and improve ML models with pre/post‑processing, parallelism, and inference optimization
Work on ambiguous research problems and find practical, scalable solutions
Contribute to product‑level systems, not just isolated models
Compensation Up to
$250k
base, depending on experience
If building high-performance AI systems for video excites you, we’d love to hear from you.
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industries Engineering Services, Technology, Information and Media, and Software Development
Referrals increase your chances of interviewing at Acceler8 Talent by 2x.
Get notified about new Machine Learning Engineer jobs in
San Francisco Bay Area .
#J-18808-Ljbffr