Jobs
>
San Francisco

    Machine Learning Engineer - San Francisco, United States - EMA

    EMA
    EMA San Francisco, United States

    2 weeks ago

    Default job background
    Description
    Who we are

    Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We've raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google).

    Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. All our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology. We're well funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore, India and is currently in stealth mode.

    Who you are

    We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact.

    You will:
    1. Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems.
    2. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems.
    3. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models.
    4. Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
    5. Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
    6. Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption.
    Ideally, you'd have:
    1. A Master's degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
    2. Proven industry experience in building and deploying production-level machine learning models.
    3. Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models.
    4. Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems.
    5. Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.
    6. Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.
    7. Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.
    8. Familiarity with cloud platforms like GCP or Azure.
    9. Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects.
    10. Good understanding of software development principles, data structures, and algorithms.
    11. Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
    12. The ability to work collaboratively in an extremely fast-paced, startup environment.
  • Haystack News

    Machine Learning Engineer

    8 hours ago

    Haystack News San Francisco, United States

    Job Description · Job DescriptionHaystack News, the number one destination for news on streaming platforms, is looking for a Machine Learning engineer to join our team. Today Haystack is trusted by over 25 million viewers and is among the fastest-growing TV news companies in the ...

  • Rain Neuromorphics Inc.

    machine learning engineer

    1 week ago

    Rain Neuromorphics Inc. San Francisco, United States

    MACHINE LEARNING ENGINEER · Company: Rain Neuromorphics Inc. · Location: San Francisco, CA · Position Type: Full Time · Experience: See below for details · Education: See below for details · Machine Learning Engineer (San Francisco, CA) - Dvlop, implmt & deploy state-of-the-art o ...

  • Wayve

    Machine Learning Engineer

    2 weeks ago

    Wayve San Francisco, United States

    WHO ARE WE? · Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning, computer vision and reinforcement learning. Leveraging our multi-national world-class research team we're focusing on using less data to learn more intelli ...

  • Genentech

    Machine Learning Engineer

    2 weeks ago

    Genentech San Francisco, United States

    The Position · The Position · A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. ...

  • Tempo

    Machine Learning Engineer

    2 weeks ago

    Tempo San Francisco, CA, United States

    [Full Time] Machine Learning Engineer at Tempo (United States) | BEAMSTART Jobs · Machine Learning Engineer · Tempo United States · Date Posted · 26 Jun, 2022 · Work Location · San Francisco, United States · Salary Offered · $100000 — $200000 yearly · Job Type · Full Ti ...

  • CrowdAI

    Machine Learning Engineer

    2 weeks ago

    CrowdAI San Francisco, United States

    [Full Time] Machine Learning Engineer at CrowdAI (United States) | BEAMSTART Jobs · Machine Learning Engineer · CrowdAI United States · Date Posted · 26 Jun, 2022 · Work Location · San Francisco, United States · Salary Offered · Not Specified · Job Type · Full Time · Experience ...

  • Karkidi

    Machine Learning Engineer

    2 weeks ago

    Karkidi San Francisco, CA, United States

    TBD's Risk and Trust team is on the mission to build world-class risk and trust management services to enable a truly open and decentralized financial ecosystem. We are looking for a skilled Machine Learning Engineer to help create and maintain our model development infrastructur ...

  • Courteasy

    Machine Learning Engineer

    2 weeks ago

    Courteasy San Francisco, CA, United States

    Court Easy AI is seeking a talented and forward-thinking Machine Learning Engineer to join our team. Regardless of your background, if you possess exceptional ML engineering skills, experience in high-stakes ML domains, and a drive to tackle challenging problems, we want you to b ...

  • Sapling

    Machine Learning Engineer

    2 weeks ago

    Sapling San Francisco, CA, United States

    Full Time] Machine Learning Engineer at (United States) | BEAMSTART Jobs Machine Learning Engineer · Full Time · Remote Work · Stock Options · ML/NLP/deep learning expertise. Strong engineering background with end-to-end ownership of projects. · Build components of the data ...

  • Acceler8 Talent

    Machine Learning Engineer

    2 weeks ago

    Acceler8 Talent San Francisco, United States

    Senior ML Engineer Position – San Francisco (Hybrid/Flexible) · If you are interested in applying for this job, please make sure you meet the following requirements as listed below. · Introduction: · We are seeking a talented Senior ML Engineer to join our team and lead pionee ...

  • TrendUp

    Machine Learning Engineer

    2 weeks ago

    TrendUp San Francisco, CA, United States

    [Full Time] Machine Learning Engineer at TrendUp (United States) | BEAMSTART Jobs · Machine Learning Engineer · TrendUp United States · Date Posted · 11 Jul, 2023 · Work Location · San Francisco, United States · Salary Offered · $90000 — $150000 yearly · Job Type · Full ...

  • Square

    Machine Learning Engineer

    1 week ago

    Square San Francisco, United States

    Company Description · Founded in July 2021, TBD is one of Block's four business units, alongside Square, Cash App, and Tidal. At TBD, we believe in a decentralized future that returns ownership and control over your finances, data, and identity. Guided by this vision, TBD is bui ...

  • Dnnae

    Deep Learning Engineer

    2 weeks ago

    Dnnae San Francisco, United States

    We are looking for a Deep Learning-Speech Engineer who will partner with both the business and technical teams to innovate and deliver new AI features and enhancements (particularly focused around audio) for our product. You will create and/or modify complex solutions that meet t ...

  • Hyper Online

    Machine Learning Engineer

    2 weeks ago

    Hyper Online San Francisco, CA, United States

    Full Time] Machine Learning Engineer (LLMs for AI Companions) at Hyper Online (United States) | BEAMSTART Jobs Machine Learning Engineer (LLMs for AI Companions) · Hyper Online United States · Full Time · Remote Work · Stock Options · Hyper is seeking an Applied Machine Learn ...

  • X (formerly Twitter)

    Machine Learning Engineer

    1 week ago

    X (formerly Twitter) San Francisco, United States

    Are you prepared to join the X team and help build the ultimate real-time information-sharing app, revolutionizing how people connect? At X, we're on a mission to become a trusted global digital public square, committed to minimal censorship within legal boundaries. Our goal is t ...

  • Orbital Sidekick, Inc.

    Machine Learning Engineer

    2 weeks ago

    Orbital Sidekick, Inc. San Francisco, CA, United States

    Space is in our DNA. Orbital Sidekick (OSK) has a mission to leverage the untapped power of hyperspectral imagery (HSI) to address global environmental, health, and safety needs while helping companies reach their sustainability goals. Orbital Sidekick is establishing a space-bas ...

  • Skale

    Machine Learning Engineer

    1 week ago

    Skale San Francisco, United States

    An exciting, VC-backed startup is looking for an ML Research Engineer in San Francisco. This role is onsite daily in the financial district. · You'll work with the founding team and design, train and productionize a range of ML models. The product is an AI platform aimed at inst ...

  • Stripe

    Machine Learning Engineer

    1 week ago

    Stripe San Francisco, United States

    Who we are · About Stripe · Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mi ...

  • Writesonic

    Machine Learning Engineer

    1 week ago

    Writesonic San Francisco, CA, United States

    [Full Time] Machine Learning Engineer (NLP) at Writesonic (United States) | BEAMSTART Jobs · Machine Learning Engineer (NLP) · Writesonic United States · Date Posted · 25 Jun, 2022 · Work Location · San Francisco, United States · Salary Offered · Not Specified · Job Type ...

  • Text Blaze

    Machine Learning Engineer

    2 weeks ago

    Text Blaze San Francisco, CA, United States

    [Full Time] Machine Learning Engineer - Large Language Models at Text Blaze (United States) | BEAMSTART Jobs · Machine Learning Engineer - Large Language Models · Text Blaze United States · Date Posted · 28 Apr, 2023 · Work Location · San Francisco, United States · Salary ...