Jobs
>
San Francisco

    Principal Machine Learning Engineer - San Francisco, CA, United States - Atlassian

    Atlassian
    Atlassian San Francisco, CA, United States

    1 week ago

    Default job background
    Description
    Overview


    Working at AtlassianAtlassians have flexibility in where they work – whether in an office, from home, or a combination of the two.

    That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is seeking a Principal Machine Learning Scientist to join our Central AI team located in Bellevue WA.

    The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company.

    Your future teamThe Central AI org is part of the larger Atlassian Intelligence program.

    Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future.

    While it's anticipated that the majority of AI-driven initiatives will be developed and executed by federated product teams within Atlassian, the role of Central AI is pivotal to this process.

    Central AI is tasked with constructing the underlying infrastructure and capacities, which are crucial for the seamless integration and optimal functionality of AI across various departments.

    By doing so, Central AI ensures that different teams within the organization do not work in silos but have access to a unified foundation that promotes efficiency and collaboration.

    Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery and conversation.

    CompensationAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs.

    To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline.

    Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones.

    For this role, our current base pay ranges for new hires in each zone are:

    Zone A:
    $229,300 - $305,700Zone B: $206,300 - $275,100Zone C: $190,300 - $253,700 This role may also be eligible for benefits, bonuses, commissions, and equity.
    Please visit for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

    Responsibilities


    What you'll doAs a Principal Machine Learning engineer, you will drive the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services.

    Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers.

    Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings.

    Qualifications


    Your backgroundOn the first day, we'll expect you to haveBachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)5+ years of related industry experience in the data science domainExpertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g.

    AWS, Databricks)Experience building and scaling machine learning models in business applications using large amounts of dataAbility to communicate and explain data science concepts to diverse audiences, craft a compelling storyFocus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"Agile development mindset, appreciating the benefit of constant iteration and improvementIt's great, but not required, if you haveExperience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B spaceExperience in developing deep learning-based models and working on LLM-related applicationsExcelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutionsOur perks & benefitsAtlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit learn more.

    About AtlassianAt Atlassian, we're motivated by a common goal:
    to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
    We believe that the unique contributions of all Atlassians create our success.

    To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

    All your information will be kept confidential according to EEO guidelines.

    To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process.

    Simply inform our Recruitment team during your conversation with them.

    Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

    To learn more about our culture and hiring process, visit SummaryCategory:
    Engineering
  • Acceler8 Talent

    Machine Learning Engineer

    13 hours 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 ...

  • Perplexity AI

    Machine Learning Engineer

    1 week 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

    6 days 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 ...

  • Swish Analytics

    Machine Learning Engineer

    6 days 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 ...

  • EMA

    Machine Learning Engineer

    1 week 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 ...

  • X (formerly Twitter)

    Machine Learning Engineer

    4 days 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 ...

  • 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 ...

  • Health

    Machine Learning Engineer

    1 week 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 ...

  • 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 ...

  • 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 ...

  • Central Business Solutions

    Machine Learning Engineer

    1 week 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 ...

  • Haystack News

    Machine Learning Engineer

    5 days 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 ...

  • 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 · ...

  • Genentech

    Machine Learning Engineer

    1 week 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. ...

  • Equilibrium Energy

    Machine Learning Engineer

    2 weeks ago

    Equilibrium Energy San Francisco, United States

    About Our Company · Equilibrium Energy is a well-funded, Series A clean energy startup backed by some of the most prominent institutional investors in climate. We are building a digital native power company operating at the intersection of grid variability, market volatility, ec ...

  • 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 ...

  • EMA

    Machine Learning Engineer

    1 week 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 ...

  • CrowdAI

    Machine Learning Engineer

    1 week 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 ...

  • Rain Neuromorphics Inc.

    machine learning engineer

    5 days 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 ...