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Machine Learning Engineer
2 weeks 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
4 weeks 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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Deep Learning Engineer
1 week ago
Unreal Gigs San Francisco, United StatesJob Description · Job DescriptionCompany Overview: Welcome to the forefront of deep learning innovation At our company, we're driving the next wave of AI revolution through cutting-edge deep learning technologies. Our mission is to develop groundbreaking solutions that solve comp ...
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Machine Learning Engineer
1 week ago
Unreal Gigs San Francisco, United StatesJob Description · Job DescriptionCompany Overview: Welcome to the forefront of machine learning innovation At our company, we're dedicated to harnessing the power of artificial intelligence to drive real-world impact. Our mission is to develop cutting-edge machine learning soluti ...
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Machine Learning Engineer
3 weeks 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
4 weeks ago
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
3 weeks ago
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
3 weeks ago
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
3 weeks 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
2 weeks ago
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 ...
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Machine Learning Engineer
3 weeks 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
4 weeks ago
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
3 weeks ago
Adobe San Francisco, United StatesOur 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 ...
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Machine Learning Engineer
3 weeks 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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Machine Learning Engineer
2 weeks ago
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
3 weeks 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
2 weeks ago
Unreal Gigs San Francisco, United StatesJob Description · Job DescriptionOverviewJoin our dynamic team as a Machine Learning Engineer to pioneer solutions that transform industries. Your role involves developing sophisticated machine learning models and deploying scalable AI systems. You'll be at the forefront of innov ...
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Machine Learning Engineer
4 weeks ago
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
3 weeks ago
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
3 weeks ago
FLYR Labs San Francisco, United StatesOur Vision · FLYR is focused on the relentless application of advanced and intuitive technologies that help transportation leaders unlock their ultimate potential. · FLYR is a technology company that is purpose-built for the travel industry. Leveraging deep learning, an advanced ...
Principal Machine Learning Engineer - San Francisco, CA, United States - Unreal Staffing, Inc
Description
About the Company:
Our company is at the forefront of space exploration and technology, dedicated to unlocking the mysteries of the universe and making space more accessible.
We are pioneering new technologies in spacecraft design, propulsion, and remote sensing, with a focus on sustainable exploration and the utilization of space resources.
Join us to be part of a visionary team of space enthusiasts and technologists who are shaping the future of interplanetary travel and exploration, where your work contributes to groundbreaking missions and the expansion of human presence in space.
Lead the development of machine learning models to analyze and interpret vast amounts of data from space missions, enhancing our understanding of the cosmos and improving mission efficiencyCollaborate with astronomers, engineers, and data scientists to integrate AI into our space exploration programs, ensuring the seamless operation of spacecraft and rovers
Develop predictive models for space weather and celestial phenomena, aiding in mission planning and risk assessment
Innovate in the field of remote sensing, applying machine learning to process and analyze satellite imagery for Earth observation, planetary science, and resource mapping
Spearhead research initiatives to leverage AI in the development of life support systems, habitat automation, and sustainable space living solutions
Establish scalable data pipelines and infrastructure to support AI/ML operations in space and ground-based systems
Promote a culture of continuous learning and experimentation, staying abreast of advancements in AI, machine learning, and space technology
Mentor and lead a team of machine learning engineers and data scientists, guiding project direction and fostering professional growth
6+ years of experience in machine learning and AI, with specific expertise in areas relevant to space technology, such as robotics, remote sensing, or autonomous systems
~ Advanced understanding of ML algorithms, data processing, and statistical methods, with the ability to apply these in high-stakes, technically complex environments
~ Proficiency in programming languages such as Python and C++, and familiarity with ML frameworks like TensorFlow, PyTorch, and Huggingface
~ A Master's or PhD in Computer Science, Aerospace Engineering, Astrophysics, or a related field
Direct experience in the space industry or working on space-related technology projects
Published research or demonstrated innovation in the application of AI/ML to space exploration, robotics, or Earth observation
Knowledge of satellite communication systems and data transmission in space environments
Experience with simulating space missions or developing AI systems for space operations
Flexible work arrangements, including remote work options and a focus on work-life balance
Comprehensive health, dental, and vision insurance, with additional support for mental and physical wellness
Continuous learning and development opportunities, including access to seminars, workshops, and training in space technology and AI