Jobs

    Machine Learning Engineer - California, United States - Acceler8 Talent

    Acceler8 Talent
    Acceler8 Talent California, United States

    2 weeks ago

    Default job background
    Description

    Revolutionize AI with Us by Helping Everyone Save Time

    Join our mission to redefine human-computer collaboration and automate workflows with cutting-edge AI products. Be part of a team shaping the future of enterprise operations, leveraging Large Language Models (LLMs) to elevate organizational impact.

    Your Impact:

    • Collaborate on delivering captivating experiences through Large Language Models.
    • Architect Scalable ML Systems:
    • Design and implement scalable machine learning and distributed systems for LLMs.
    • Optimize Under the Hood:
    • Innovate at lower stack levels, creating high-performing infrastructure with custom kernels.
    • Master Parallelism Methods:
    • Develop parallelism methods for large-scale LLM distribution training.

    Your Skills:

    • Experience in training LLMs using Megatron, DeepSpeed, etc., and deploying with vLLM, TGI, TensorRT-LLM, etc.
    • Possesses a strong grasp of the architectures of cutting-edge AI accelerators such as TPU, IPU, HPU, and their associated tradeoffs.
    • Proficient in working under-the-hood with kernel languages like OAI Triton, Pallas, and compilers like XLA.
    • Proven hands-on experience in tuning LLM workloads. Familiarity with MLPerf or production workloads is a plus.

    If you're passionate about driving AI innovation and pushing the boundaries of what's possible, we invite you to join our collaborative and forward-thinking team.



  • Epik Solutions California, United States

    Senior Machine Learning Engineer · $125,000 - $150,000 a year base salary plus benefits · Are you energized by the idea of innovating with generative AI? Do you aspire to create a global impact while tackling challenges at the forefront of machine learning? Do you want to be part ...


  • Acceler8 Talent California, United States

    Machine Learning Engineer (LLMs, Training, Optimization, Inference) · We are looking for a skilled Machine Learning Engineer with a strong systems focus to join our team as an Individual Contributor. This role is perfect for a dedicated professional who excels in dynamic environm ...


  • Harnham California, United States

    MACHINE LEARNING ENGINEER · San Francisco Bay Area · 150K-190K Base Salary + Bonus + Equity + Competitive Benefits · Hybrid- Required to come into office 3 days a week · I am looking to fill a Machine Learning Engineer role with someone who has distributed optimization experienc ...


  • Acceler8 Talent California, United States

    Join Our Team: Machine Learning Engineer (MLOps) · Seeking talented individuals to join our team as an MLOps Engineer. Here's your chance to work on cutting-edge machine learning projects alongside MIT PhDs who are prominent in ML research. · What You'll Do: · Work on cutting-edg ...


  • DeepRec California, United States

    Job Title: Machine Learning Engineer · Location: San Francisco · Salary: 240K + Equity · Visa: Sponsorship Available · Responsibilities: · Work with large video datasets to develop and implement machine learning models. · Optimize and debug neural networks for efficient perform ...


  • BioTalent California, United States

    Machine Learning Engineer - Revolutionize MRI Scanning · Shape the future of medical imaging with cutting-edge machine learning and computer vision · We're on a mission to unlock the full potential of MRI scanning by simplifying the process and increasing its power. Our FDA-clear ...


  • Berkley Hunt California, United States

    Overview: · Berkley Hunt has partnered with a Series A firm backed by a Tier 1 VC, we are currently seeking a Founding Machine Learning Engineer with a proven track record in designing and deploying ML models and systems. This role is integral to the companies startup mission, fo ...


  • RivetAI California, United States

    Join the forefront of AI innovation at RivetAI We're seeking an experienced Machine Learning Engineer with a natural language processing (NLP) background to join our team. As one of our early hires, you'll play a pivotal role in developing cutting-edge solutions that revolutioniz ...


  • Skyrocket Ventures California, United States

    Machine Learning Engineer - Mission Driven Health Startup · Location: San Carlos, CA (you can work from home 5 days every 2 weeks) · The company's product is in the realms of health, mobile, AI, augmented reality, computer vision, HR benefits, and retail. It is a mission-driven c ...


  • aKUBE California, United States

    City: LA/ Seattle. The team works in West Coast Hours 9 - 5 PST. · Duration: 24 months · Rate Range: $ 114/hr on W2 depending on experience (no C2C or 1099 or sub-contract) · Work Authorization: GC, USC, All valid EADs except H1b · Description: · Ad Platforms organization is full ...


  • Deep Abacus California, United States

    The company · Seed-stage AI startup led by industry veterans. · Transforming accounting through Generative-AI. · Seeking an exceptional AI Engineer. · Empower individuals and businesses in financial decision-making. · What you will do · Design and implement ML/DL models and NLP ...


  • Acceler8 Talent California, United States

    About Us · At our dynamic startup, we're at the forefront of the rapidly evolving field of data-centric AI. Backed by a team of prominent researchers from MIT, we utilize the latest advancements in technology to create cutting-edge tools that enable users to diagnose and resolve ...


  • Greylock California, United States

    Summary: · Seed-funded investment looking for a Sr. MLE with a strong foundation in NLP to join as one of the first hires in the company. This will be a hands-on / applied machine learning role with a focus on Generative AI, RAG, and document understanding (Taxonomy, Digitization ...


  • Solomon Page California, United States

    Our client is looking to fill the role of Senior Deep Learning/Machine Learning Engineer. This role will be hybrid and based out of the Santa Clara office. · Responsibilities: · Training, and deploying deep learning models for a variety of DNN tasks. · Optimizing and compiling ...


  • Solomon Page California, United States

    Senior Deep Learning/Machine Learning Engineer · Location: Santa Clara, CA (Hybrid, 1-day a week onsite, 4 days remote) · Our client is looking to fill the role of Senior Deep Learning/Machine Learning Engineer. This role will be hybrid and based out of the Santa Clara office. · ...


  • Dexian California, United States

    Job Title - Machine Learning Engineer/AI Engineer · Location - 100% Remote · Duration - 6+ Months · Job Description: · We are looking for Machine Learning Engineer/AI Engineer for one of our direct banking/financial clients. · Build, modernize and maintain the Client's AI/ML Pla ...


  • Cubiq Recruitment California, United States

    Principal Machine Learning Engineer · California, United States (Hybrid) · Job Title: Prinicpal Machine Learning Engineer (Senior and Staff levels also available) · Location: California/US · About: · They are a disruptive ecommerce platform, operating in stealth mode with over $1 ...


  • Revival Talent Solutions California, United States

    Company: Revival Talent, in partnership with a leading innovator in health tech · Location: Hybrid (San Francisco Bay Area) · Salary: Up to $220,000 · Benefits: Comprehensive benefits package including health insurance, dental and vision coverage, retirement plans (401k) with emp ...


  • Harnham California, United States

    SENIOR MACHINE LEARNING ENGINEER · REMOTE - USA · $175,000 - $210,000 + BENEFITS · THE COMPANY · COMPANY: A thriving digital media marketplace company. · TEAM: This position offers the opportunity to join a strong team of machine learning engineers and data scientists. · CULTUR ...


  • DeepRec California, United States

    Machine Learning Engineer · For an impressive Visual GenAI company, we're currently hiring for Machine Learning Engineer to join their expanding team in SF. The role will be remote for the first few months then flexible hybrid in their new SF office. This is the chance to join a ...