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Lead Machine Learning Engineer
Lead Machine Learning EngineerHumane • San Francisco, CA, United States
Lead Machine Learning Engineer

Lead Machine Learning Engineer

Humane • San Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

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Who We Are

HP IQ is HP's new AI innovation lab. Combining startup agility with HP's global scale, we're building intelligent technologies that redefine how the world works, creates, and collaborates.

Who We Are

HP IQ is HP's new AI innovation lab. Combining startup agility with HP's global scale, we're building intelligent technologies that redefine how the world works, creates, and collaborates.

We're assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP's portfolio. Together, we're developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless.

We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset.

By embedding AI advancements into every HP product and service, we're expanding what's possible for individuals, organisations, and the future of work.

Join us as we reinvent work, so people everywhere can do their best work.

About The Role

The AI team is developing cutting-edge solutions that enable low-latency, private, and cost-efficient AI across a wide range of devices. We are looking for a Lead Machine Learning Engineer to focus on model development, optimization, and deployment across edge and cloud environments.

What You Might Do

  • Train, optimize, and deploy machine learning models for real-time inference on edge devices.
  • Develop and refine AI pipelines for efficient model training, validation, and deployment.
  • Research and implement model compression techniques, such as quantization, pruning, and knowledge distillation, to enhance performance on resource-constrained devices.
  • Evaluate and integrate third-party machine learning APIs and open-source models.
  • Develop scalable AI architectures that balance on-device inference with cloud computing.
  • Collaborate with AI researchers and software engineers to bring novel AI capabilities to production.
  • Ensure compliance with privacy-first AI development principles and security best practices.

Essential Qualifications

  • 10+ years of hands-on experience building and deploying ML models with a focus on NLP, LLMs, or conversational AI systems.
  • Strong background in deep learning, LLMs, computer vision, or speech models.
  • Experience in training and fine-tuning large-scale models with AI frameworks.
  • Knowledge of model optimization techniques such as quantization, distillation, and pruning.
  • Proficiency in Python and experience with ML experiment tools such as Weights & Biases, MLflow, or Kubeflow.
  • Ability to work in a fast-paced, iterative, and cross-collaborative AI development environment.
  • Preferred Skills

  • Experience with AI accelerators (NPUs, TPUs, GPU-based inference).
  • Familiarity with cloud-edge hybrid AI architectures.
  • Understanding of federated learning and privacy-preserving AI techniques.
  • Experience developing AI-powered applications on embedded systems or IoT platforms.
  • Background in AI systems benchmarking and performance tuning.
  • Familiarity with on-device AI frameworks such as TensorFlow Lite, ONNX Runtime, or CoreML.
  • Salary range : $190,000 - $270,000

    Compensation & Benefits (Full-Time Employees)

    The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills.

    At HP IQ, we offer a competitive and comprehensive benefits package, including :

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term / short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)
  • Why HP IQ?

    HP IQ is HP's new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work.

  • Innovative Work Help shape the future of intelligent computing and workplace transformation.
  • Autonomy and Agility Work with the speed and focus of a startup, backed by HP's scale.
  • Meaningful Impact Build AI-powered solutions that help people and organisations thrive.
  • Flexible Work Environment Freedom and flexibility to do your best work.
  • Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together.
  • Equal Opportunity Employer (EEO) Statement

    HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

    Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

    If you'd like more information about HP's EEO Policy or your EEO rights as an applicant under the law, please click here : Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

    Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Engineering and Information Technology

    Industries

    Computers and Electronics Manufacturing

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