Search jobs > Mountain View, CA > Manager ai ml

AI/ML Manager(Must have experience in Generative AI/LLM related products)

Collinear AI
Mountain View, California, US
$180K a year
Full-time

About Collinear AI : Collinear AI is a VC-backed stealth startup helping enterprises adopt Large Language Models (LLMs) by customizing them for their specific needs and values.

Our product, AI Alignment and Customization, empowers businesses to implement open-source LLMs by fine-tuning them for specialized use cases.

We are pioneering advancements in AI, focusing on Generative AI, Reinforcement Learning, and NLP technologies.

Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding.

About the Role : As an Engineering Lead at Collinear, you will own key areas of our AI product development, manage cross-functional teams, and lead cutting-edge engineering projects.

You'll work closely with customers, product, GTM, and operations to build and support models for AI workflows and advanced reasoning capabilities.

This is a unique opportunity to shape the future of AI in a rapidly growing and dynamic company.

Key Responsibilities :

  • Head a group of 4-5 ML Engineers with a strong background in LLMs and align them to the short term and long term engineering agenda.
  • Lead and own large-scale areas of Collinear’s AI product development, particularly related to LLMs, Generative AI, and NLP.
  • Collaborate cross-functionally with internal teams and external customers to define, build, and support model capabilities.
  • Design, develop, and implement AI solutions, covering the full product lifecycle from concept to production.
  • Build end-to-end features, including front-end, back-end, and system design, while debugging and testing complex AI models.
  • Deliver experiments with high velocity and ensure quality output to engage customers.
  • Foster and influence the culture, values, and processes of a growing engineering team.
  • Mentor and inspire less experienced engineers to elevate team performance and knowledge sharing.
  • Work closely with the Product and GTM teams to bring AI models to market and ensure alignment with business needs.

Requirements :

  • 7+ years of relevant experience in AI, Machine Learning, or a related field, with at least 2 years of experience working on agentic or AI-related products.
  • Proven track record of shipping high-quality AI products and features at scale, especially in LLM or NLP-related projects.
  • Strong cross-functional collaboration experience, working with engineering, product, and GTM teams.
  • Ability to turn business ideas and product concepts into scalable engineering solutions.
  • Comfortable working in a fast-paced, startup environment with the ability to pivot quickly as needed.
  • Excellent problem-solving skills and the ability to work both independently and as part of a team.
  • A passion for pushing the boundaries of AI and innovation.

Why Join Us :

  • Be a part of a rapidly growing, cutting-edge AI company that is defining the future of LLMs and enterprise AI customization.
  • Work in a dynamic, hybrid environment with a close-knit team based in Mountain View, CA.
  • Competitive compensation packages, including base salary, equity, and comprehensive benefits.
  • Learning and development opportunities, along with generous PTO to ensure work-life balance.
  • Be a part of a mission-driven team focused on pushing the boundaries of AI to solve real-world enterprise challenges.

Perks & Benefits :

  • Rewarding Compensation : Not only do we offer a competitive salary of $180,000- $220,000 , but we also recognize your invaluable contribution with substantial early-stage equity.
  • Adaptive Workspace : Our hub is in Mountain View, and we are primarily in-person with a few days remote each week. However, we do make rare exceptions for candidates not located in the Bay Area.
  • Health is Paramount : We prioritize your wellbeing with top-tier medical, dental, and vision insurance.
  • Trailblazing Role : Join us and shape an industry where few have left their mark.
  • Join the AI Elite : Are you ready to stand among the best in AI? Embark on this journey with us, grow, and redefine the future.

Job Type : Full-time

Pay : From $180,000.00 per year

Benefits :

  • Dental insurance
  • Flexible schedule
  • Health insurance
  • Paid time off
  • Vision insurance

Compensation Package :

  • Stock options
  • Schedule :
  • Day shift
  • Day shift
  • Monday to Friday

Education :

Master's (Required)

Experience :

  • Generative AI : 7 years (Required)
  • Machine learning : 7 years (Required)
  • Natural language processing : 7 years (Required)

Ability to Commute :

Mountain View, CA 94043 (Required)

Work Location : Hybrid remote in Mountain View, CA 94043

J-18808-Ljbffr

1 day ago
Related jobs
Promoted
Ushur
Santa Clara, California

With cutting-edge Conversational AI, Machine Learning and Intelligent Process Automation technologies, Ushur has enabled Fortune 100 enterprises including some of the world’s most well-known brands in healthcare, insurance, banking and financial services sectors to automate their customer engagement...

Promoted
Hume AI
San Jose, California

You'll be instrumental in guiding customers through their journey with our technology, from initial onboarding to complete integrations, while gathering valuable insights to drive product improvements. Guide customers in effectively implementing our APIs for AI models into their products, sometimes ...

Promoted
Notable
San Mateo, California

As an ML/AI engineer at Notable, you'll work on developing and deploying machine learning models which provide the intelligence powering robotic processes that underpin critical healthcare workflow automation. You'll work closely with the product development team to define ML systems tailored to our...

Promoted
Samsung Semiconductor
San Jose, California

BS in Computer/Electrical Engineering or Computer Science with 5+ years of working experiences in silicon development or MS in Computer/Electrical Engineering or Computer Science with 3+ years of relevant working experience or PhD and 0+ years of relevant working experience preferred. Additionally, ...

Promoted
RingCentral
Belmont, California

You have a deep understanding of Artificial Intelligence (AI) and Machine Learning (ML) and have experience shipping AI-powered features and products. Experience shipping products/features that have end-to-end experiences (customer-facing - UX, infrastructure and platform, billing, and backend depen...

Promoted
XPENG
Santa Clara, California

Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Fine-tune the pre-tra...

NetApp
San Jose, California

This entails a firm understanding of software products, platforms, infrastructure, and the AI market; as well as developing the business case (including current and potential revenue) and the necessary competitive positioning to allow the research and development team to shape and deliver customer-c...

SAP
Palo Alto, California

Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. Ability to solve problems using LLM...

JPMorgan Chase & Co.
Palo Alto, California

Develop and maintain a AI/ML platform roadmap to guide the organization's AI/ML initiatives and ensure alignment with business objectives. Knowledge of the Machine Learning workflow, spanning from annotation, model training, model serving, scoring, pre/post processing and feedback capture. As an AI/...

ServiceNow
Santa Clara, California
Remote

Experience defining, planning and executing research studies including outlining objectives, goals, and timelines. Experience developing insightful, probing questions that resonate with both highly technical individuals through business minded end-users using enterprise software. This includes devel...