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Ml Tech Lead Jobs (NOW HIRING)

Geni AI Tech Work Location: Westlake, TX Duration: Long Term * Design and develop GenAI models ... Strong programming skills in Python, with experience in AI/ML frameworks * Knowledge of prompt ...

Lead AI Engineer-Machine Learning

Parsippany, NJ · On-site

$103K - $135K/yr

Define the strategic direction for Lincoln Tech's AI/ML technology stack * Design and implement scalable, high-performance computing infrastructures for AI/ML and data mining * Lead end-to-end ...

Tech Lead

Dallas, TX · On-site

$150 - $200/hr

Tech Lead Department: Physician Enterprise Development Employment Type: Full Time Location: Remote ... Understand business problems and translate them into scalable AI/ML and Generative AI solutions.

Tech Lead

Dallas, TX · On-site +1

$140K - $160K/yr

Tech Lead Department: Physician Enterprise Development Employment Type: Full Time Location: Remote ... Understand business problems and translate them into scalable AI/ML and Generative AI solutions.

Infrastructure Tech Lead / Principal Engineer Omnifold trains custom AI models that help planners ... Data and ML ops: ETL pipelines from varied customer data sources, model versioning and lifecycle ...

Data Tech Lead

CA · On-site

Core Skills: • AWS • Data engineering • Data Tech Lead expertise Supporting Skills: • ... ML solutions in healthcare • Exposure to Snowflake, IoT-based health devices, or real-world ...

Core Skills: · AWS · Data engineering · Data Tech Lead expertise Supporting Skills: · Support ... ML solutions in healthcare · Exposure to Snowflake, IoT-based health devices, or real-world ...

Showing results 21-40

Ml Tech Lead information

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$52.6K

$77.5K

How much do ml tech lead jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ml tech lead in the United States is $52,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $57,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Ml Tech Lead job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $52,560 per year, or $25.3 per hour.

Tech Lead, YouTube Shorts Discovery, ML Recommendations

Mountain View, CA • On-site

Google Inc.
Software Development • 10K+ employees

$250/hr

Other

Posted 7 days ago


Key responsibilities

  • Lead the Short-form Video Exploration team and drive the success of YouTube Shorts.

  • Manage the entire ecosystem for Shorts, including mobile creation tools, effects, and backend systems for creating, serving, and recommending videos.

  • Leverage advanced modeling techniques and signals to identify initial audiences for new content and expand the recommendable corpus.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

Tech Lead, YouTube Shorts Discovery, ML Recommendations
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corporate_fare YouTube place Mountain View, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:
  • Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field.
  • 8 years of experience in data structures and algorithms, with experience building distributed, large-scale machine learning systems.
  • 3 years of experience in a technical leadership role, defining technical goals, setting roadmap direction, and mentoring executive engineering teams.
  • Experience designing and deploying recommendation systems, personalized ranking models, or retrieval systems.
  • Expertise in managing the cold-start problem, reinforcement learning, or exploration/exploitation algorithms.
About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will lead the Short-form Video Exploration team and drive the success of YouTube shorts, a top strategic initiative. The Short-form Video team manages the entire ecosystem: from mobile creation tools and effects (text, stickers, filters) to a seamless, full-screen player experience. We also build the backend systems required to create, serve, and recommend these videos across Home, Search, and beyond.
Shorts Exploration is a critical component of our recommendation strategy. Our mission is to identify initial audiences for fresh content, expanding our recommendable corpus and inspiring further creation. To achieve this, we leverage advanced modeling techniques and signals to build these audiences directly within the recommendation stack.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will lead the Short-form Video Exploration team and drive the success of YouTube shorts, a top strategic initiative. The Short-form Video team manages the entire ecosystem: from mobile creation tools and effects (text, stickers, filters) to a seamless, full-screen player experience. We also build the backend systems required to create, serve, and recommend these videos across Home, Search, and beyond.
Shorts Exploration is a critical component of our recommendation strategy. Our mission is to identify initial audiences for fresh content, expanding our recommendable corpus and inspiring further creation. To achieve this, we leverage advanced modeling techniques and signals to build these audiences directly within the recommendation stack.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

  • Design, develop, test, deploy, maintain, and enhance large scale software solutions.
  • Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
  • Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, and subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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