ChatGPT Jobs is hiring: Staff Machine Learning Engineer, Partnerships in San Fra
ChatGPT Jobs, San Francisco, CA, United States
Staff Machine Learning Engineer, Partnerships
Company:
TwelveLabs
Location:
San Francisco, CA
Remote:
Yes
Salary:
$225K - $325K/yr
Type:
Full-time
Benefits:
Medical, Dental, Vision, PTO
About The Role
As a Staff Machine Learning Engineer, Partnerships at TwelveLabs, you will drive company growth in our highest leverage go-to-market channel: development of our core technology and models on partner platforms (AWS, Snowflake, Databricks, and others).
In This Role
Productize Twelve Labs’ video foundation models & products into fault-tolerant, low-latency, scalable systems suitable for partner deployments
Design and deliver deep technical integrations with partner platforms such as AWS, Snowflake, Databricks, etc.
Own technical execution for partner integrations, serving as subject matter expert for complex engineering and production concerns
Collaborate directly with engineering and product teams from our partners to co-design capabilities and influence joint roadmaps
Mentor junior engineers/researchers, and hold a high bar around code quality / engineering best practices
Lead by example in interviewing, hiring, and onboarding passionate and empathetic engineers
You May Be A Good Fit If You Have
10+ years of relevant industry experience
Led organization- and/or company- level ML infrastructure projects from brainstorming and inception to realized product impact
Defined technical roadmap and prioritization for large, ambiguous, cross-functional projects, driving high-impact technical decisions
Experience with GPU-based compute, performance tuning, and capacity planning for ML workloads
Strong hands-on experience with cloud infrastructure (AWS, GCP or Azure), Docker, Kubernetes, and distributed systems in real-world environments
Strong Candidates May Also Have Experience
Scaling ML systems and/or data infrastructure to workloads of petabyte+ scale
Acting as a force multiplier across an organization: unblocking teams, raising engineering quality, and accelerating execution beyond direct ownership
Startup Agility: Experience thriving in fast-paced startup environments, with a demonstrated ability to adapt quickly and deliver results with agility
Benefits And Perks
An open and inclusive culture and work environment.
Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
Full health, dental, and vision benefits.
Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
VISA support (such as H1B and OPT transfer for US employees).
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Company:
TwelveLabs
Location:
San Francisco, CA
Remote:
Yes
Salary:
$225K - $325K/yr
Type:
Full-time
Benefits:
Medical, Dental, Vision, PTO
About The Role
As a Staff Machine Learning Engineer, Partnerships at TwelveLabs, you will drive company growth in our highest leverage go-to-market channel: development of our core technology and models on partner platforms (AWS, Snowflake, Databricks, and others).
In This Role
Productize Twelve Labs’ video foundation models & products into fault-tolerant, low-latency, scalable systems suitable for partner deployments
Design and deliver deep technical integrations with partner platforms such as AWS, Snowflake, Databricks, etc.
Own technical execution for partner integrations, serving as subject matter expert for complex engineering and production concerns
Collaborate directly with engineering and product teams from our partners to co-design capabilities and influence joint roadmaps
Mentor junior engineers/researchers, and hold a high bar around code quality / engineering best practices
Lead by example in interviewing, hiring, and onboarding passionate and empathetic engineers
You May Be A Good Fit If You Have
10+ years of relevant industry experience
Led organization- and/or company- level ML infrastructure projects from brainstorming and inception to realized product impact
Defined technical roadmap and prioritization for large, ambiguous, cross-functional projects, driving high-impact technical decisions
Experience with GPU-based compute, performance tuning, and capacity planning for ML workloads
Strong hands-on experience with cloud infrastructure (AWS, GCP or Azure), Docker, Kubernetes, and distributed systems in real-world environments
Strong Candidates May Also Have Experience
Scaling ML systems and/or data infrastructure to workloads of petabyte+ scale
Acting as a force multiplier across an organization: unblocking teams, raising engineering quality, and accelerating execution beyond direct ownership
Startup Agility: Experience thriving in fast-paced startup environments, with a demonstrated ability to adapt quickly and deliver results with agility
Benefits And Perks
An open and inclusive culture and work environment.
Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
Full health, dental, and vision benefits.
Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
VISA support (such as H1B and OPT transfer for US employees).
#J-18808-Ljbffr