Engineering Manager, Machine Learning

Join to apply for the Engineering Manager, Machine Learning role at TwelveLabs

Join to apply for the Engineering Manager, Machine Learning role at TwelveLabs

This range is provided by TwelveLabs. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$225,000.00/yr - $325,000.00/yr

Who We Are
At TwelveLabs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-language modeling, allowing developers to build programs with state-of-the-art semantic search, summarization and analysis capabilities.
TwelveLabs has raised $107 million in Seed + Series A funding from world-class VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.
About The Role
As an Engineering Manager, ML at TwelveLabs, you will drive ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows. You will support a team of talented and motivated ML + infra engineers, serving as a mentor, architect, leader, and hiring superstar. As one of the company's very first engineering managers, you will have the opportunity to shape how we operate and excel in our mission! This role is a perfect fit for a seasoned people leader who gets excited by the prospect of advancing the State of the Art in vision-language modeling by perfecting ML systems and infrastructure!
In This Role, You Will:

• Mentor, support, and uplevel your team of ML/research engineers
• Grow your team through excellence in hiring and retention
• Own technical execution and strategic planning, adapting to changes in product roadmaps and company priorities
• Deliver top-notch applied AI solutions to problems like VLM finetuning, auto-labeling of video-text datasets, and inferencing over petabytes of video
  

You May Be A Good Fit If You Have:

• 4+ years of experience leading ML / ML infra teams, with experience leading a team of six or more
• 8+ total years of experience in engineering
• Demonstrated the ability to hire, mentor, and retain ML engineers!
• A passion for engineering best practices and the grittiness to uphold those standards even in the face of deadlines (through code review, culture building, etc.)
• Deep experience with ML frameworks (i.e. PyTorch, Tensorflow)
• Deep experience with the modern Python services stack, i.e. Python, Postgres, FastAPI, SQLAlchemy, Pydantic (and friends)
  

Strong Candidates May Also Have Experience:

• Closing 5+ Staff engineers over the course of their career
• Building 0-to-1 mission critical AI/ML applications from scratch
• Scaling ML systems and/or data infrastructure to workloads of petabyte+ scale
  

Interview Process

• Recruiter Phone Screen
• Initial Technical Assessment
• Hiring Manager Interview
• Onsite Technical Interview (In-Person)
• Final Interview: Culture
  

Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs.
We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
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).
Compensation Range: $225K - $325K

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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