- Master or PhD in Machine Learning, AI, Information retrieval or quantitative subjects (Statistics, Mathematics, Computer Science, Operations Research) or equivalent relevant work experience in data science domain.
- Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL. Knowledge of Spark and cloud data environments is a plus (e.g. AWS, Databricks)
- Experience building and scaling machine learning models using large amounts of data
- Agile development mindset, appreciating the benefit of constant iteration and improvement
- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
- Experience in developing deep learning-based models and working on LLM-related applications
- Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions
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Machine Learning Engineer
1 week ago
X (formerly Twitter) San Francisco, United StatesAre 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 ...
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Machine Learning Engineer
3 days ago
Acceler8 Talent San Francisco, United StatesSenior 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 ...
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machine learning engineer
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Rain Neuromorphics Inc. San Francisco, United StatesMACHINE 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 ...
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Machine Learning Engineer
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Wayve San Francisco, United StatesWHO 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 ...
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Machine Learning Engineer
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Perplexity AI San Francisco, United StatesJob 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 ...
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Machine Learning Engineer
1 week ago
Skale San Francisco, United StatesAn 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 ...
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Machine Learning Engineer
1 week ago
Perplexity AI San Francisco, United StatesPerplexity 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 ...
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Machine Learning Engineer
1 week ago
Square San Francisco, United StatesCompany 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 ...
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Deep Learning Engineer
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Dnnae San Francisco, United StatesWe 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 ...
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Machine Learning Engineer
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Swish Analytics San Francisco, United StatesCompany 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 ...
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Machine Learning Engineer
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EMA San Francisco, United StatesWho 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 ...
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Machine Learning Engineer
1 week ago
Tempo LLC San Francisco, United StatesAt 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 ...
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Machine Learning Engineer
1 week ago
Stripe San Francisco, United StatesWho 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 ...
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Machine Learning Engineer
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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 ...
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Waabi San Francisco, United StatesWaabi, 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 ...
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Machine Learning Engineer
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Skale Talent San Francisco, CA, United StatesWe're partnering with a leading autonomous driving company in San Francisco who are looking for a Senior Machine Learning Engineer to join their team. · They are working on a scalable highway autonomy product for the consumer car market. Working directly with several OEM partner ...
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Machine Learning Engineer
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Central Business Solutions San Francisco, United StatesPosition 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 ...
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Machine Learning Engineer
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Health San Francisco, United StatesHealth 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 ...
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Machine Learning Engineer
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Kuraray America, Inc. San Francisco, CA, United StatesOne day, we'll look at the digital interfaces we use today the same way we now look at floppy disks and dial-up internet. · Backed by Khosla Ventures and Nat Friedman, Coframe is pioneering this next generation of user interfaces that can adapt, evolve, and improve themselves: l ...
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Machine Learning Engineer
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Haystack News San Francisco, United StatesJob 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 ...
Machine Learning Engineer - San Francisco, CA, United States - Atlassian
Description
Overview
Working at Atlassian Atlassians 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. Your future team The mission of Atlassian is to unleash 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. AI/ML is significantly transforming how teams come together to plan, track, and deliver work across software and business teams using our products. We are looking for rockstar Machine learning engineers to come help us to further this mission and help make teams more productive leveraging AI across our product portfoilo. Compensation At 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: $173,400 - $231,100 Zone B: $156,000 - $208,000 Zone C: $143,900 - $191,900 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 do As an Applied Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training 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. You will be responsible for application of AI/ML to various product problems to improve Atlassian products and actively contribute to Atlassian Intelligence features. Qualifications On your first day, we'll expect you to have