Jobs
>
San Francisco

    Machine Learning Engineer - San Francisco, United States - Adobe

    Adobe
    Adobe San Francisco, United States

    1 week ago

    Default job background
    Description

    Our Company

    Changing the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

    We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours

    The Opportunity
    The Adobe Document Cloud's AI & Innovation Team is looking for an experienced Machine Learning Engineer to help with a variety of Evaluations related to LLMs. The Adobe Document Cloud is responsible for technologies for building, manipulating and consuming PDF files across a range of services, mobile apps and desktop products. The flagship PDF application within DC is Adobe Acrobat, which is installed on over a billion devices and opens billions of PDFs every year. Our offerings extend beyond Acrobat to Adobe Sign, Document Cloud Platform, and Adobe Scan.

    The team's mission is to perform scientific evaluation through metrics, experiments and inferences to build new experiences with documents, across our entire suite of offerings. Our most recent public features are Liquid Mode, allowing a flawless reflow experience for PDFs phones and tablets; PDF Extract API for unlocking the structure and content elements of any PDF; Table Decomposition feature in Liquid Mode; and now new generative AI features. All products are driven by AI. Our solutions are deployed on mobile devices, in the cloud, and on desktop.

    As a Machine Learning Engineer , you will get to democratize (generative) AI for all and empower a team of accomplished scientists and engineers who are dedicated to building the future of AI and documents and delivering delightful experiences.

    What you'll do
    We are looking for a Machine Learning Engineer to design, lead and facilitate decisions on our features being built through scientific evaluations which includes defining metrics, hypotheses testing, experimental design, causal inference, A/B tests. If you have a passion for shipping groundbreaking data-driven customer-facing features, learning new technologies every day, and working on high visibility projects with ample room for creativity, this might be a good fit for you. On the team you will join a diverse, lively group of engineers and scientists.

    The work is dynamic, fast-paced, creative, collaborative and data-driven.
    What we are looking for:

    • 5+ years of industry work experience. Good sense of product with a focus on shipping user-facing data-driven features.
    • Experience with Gen AI Evaluations, statistical methodologies, like hypotheses testing, time series analysis, mathematical modeling, linear and non-linear regression, stochastic modeling
    • Experience with experimentation, A/B tests, causal inference
    • Advanced analytical abilities, defining metrics, analyzing data on user interaction with our features to support data-driven decisions
    • Design, architect and build data insight dashboards and visualizations.
    • Knowledge of ML Ops. Familiarity with ML services is a plus
    • Some experience with system design, ML model assessment, building data pipelines, automation architecture, system deployment.
    • Provide thought leadership to the data-driven community by actively mentoring teammates in standard methodologies to self-serve using the most efficient code and techniques.
    • Python and Python based ML and Data Science frameworks
    • Excellent coding, analysis, and problem-solving skills.
    • Strong communication and collaboration skills
    • Master's or PhD in statistics, econometrics, operations research, applied physics, engineering, or a related quantitative field
    Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $135,200 -- $250,900 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

    At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

    In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

    Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

    Adobe aims to make accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call

    Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.

  • Acceler8 Talent

    Machine Learning Engineer

    5 days ago

    Acceler8 Talent San Francisco, United States

    Senior ML Engineer Position – San Francisco (Hybrid/Flexible) · Introduction: · We are seeking a talented Senior ML Engineer to join our team and lead pioneering projects in data-centric AI. This role offers the chance to develop cutting-edge tools that diagnose and correct datas ...

  • 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 ...

  • EMA

    Machine Learning Engineer

    2 weeks ago

    EMA San Francisco, United States

    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, Co ...

  • Perplexity AI

    Machine Learning Engineer

    2 weeks ago

    Perplexity AI San Francisco, United States

    Perplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of this mission, we are looking for eng ...

  • 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 ...

  • 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 ...

  • Swish Analytics

    Machine Learning Engineer

    1 week ago

    Swish Analytics San Francisco, United States

    Company Overview · Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuiti ...

  • Central Business Solutions

    Machine Learning Engineer

    2 weeks ago

    Central Business Solutions San Francisco, United States

    Position Role/Tile: Machine Learning Engineer · Location: San Francisco, CA. · Qualification · We Are Looking For Engineers With · 5+ years of industry experience or a PhD + 2 years industry experience in applied machine learning. · Strong coding skills in Python/Java/Scala ...

  • 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 ...

  • 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 ...

  • Waabi

    Machine Learning Engineer

    1 week ago

    Waabi San Francisco, United States

    Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to "drive" safely in the real world, Waabi is bringing the promis ...

  • 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 ...

  • Tempo LLC

    Machine Learning Engineer

    1 week ago

    Tempo LLC San Francisco, United States

    At SmartSpot, you'll be responsible for improving our pipeline for processing 3D data of human exercise and for deepening our engines for workout recommendations, difficulty scaling, and personalization. We're looking for a creative problem solver who has broad knowledge of a var ...

  • 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 ...

  • Soteris

    Machine Learning Engineer

    2 weeks ago

    Soteris San Francisco, United States

    [Full Time] Machine Learning Engineer at Soteris (United States) | BEAMSTART Jobs · Machine Learning Engineer · Soteris United States · Date Posted · 06 Dec, 2022 · Work Location · San Francisco, United States · Salary Offered · $150000 — $210000 yearly · Job Type · Full Time · ...

  • Health

    Machine Learning Engineer

    2 weeks ago

    Health San Francisco, United States

    Health at Scale is the market leader in precision health -- digital health programs that offer smart, hyper-personalized insights to help individuals choose the best providers, treatments, care settings and lifestyle choices for their unique healthcare needs. Founded by leading m ...

  • Perplexity AI

    Machine Learning Engineer

    2 days ago

    Perplexity AI San Francisco, United States

    Job Description · Job DescriptionPerplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of thi ...

  • Ntropy Network Inc

    Machine learning engineer

    1 week ago

    Ntropy Network Inc San Francisco, United States

    Join us in making Large Language Models (LLMs) viable for real-world, high throughput, tasks, starting with finance. While significantly more efficient than humans, the cost and latency of LLMs is still prohibitive for most applications. At Ntropy, our mission is to make LLMs via ...

  • Hyper Online

    Machine Learning Engineer

    2 weeks ago

    Hyper Online San Francisco, CA, United States

    [Full Time] Machine Learning Engineer (Generative 3D & Computer Vision for AI Companions) at Hyper Online (United States) | BEAMSTART Jobs · Machine Learning Engineer (Generative 3D & Computer Vision for AI Companions) · Hyper Online United States · Date Posted · 02 Aug, 2023 ...