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Machine Learning Engineer
18 hours 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
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
6 days 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
1 week 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
6 days 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
2 weeks ago
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
4 days 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
1 week 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
1 week 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
1 week ago
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
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
2 weeks ago
Equilibrium Energy San Francisco, United StatesAbout 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 ...
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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 ...
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Machine Learning Engineer
1 week 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
4 days 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 ...
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Machine Learning Engineer
2 days 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
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 ...
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Machine learning engineer
4 days ago
Ntropy Network Inc San Francisco, United StatesJoin 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 ...
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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 · ...
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Machine Learning Engineer
2 weeks ago
Cascading AI San Francisco, CA, United StatesCasca is on a path to deploy enterprise AI agents at scale to automate complex tasks in the modern banking system. As an ML Engineer, you will see your work repeatedly shipped to automate 1000s of real world conversations, helping small businesses get funding. · What you'll do: ...
Machine Learning Engineer - San Francisco, CA, United States - EMA, Inc.
Description
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 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 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.
Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems.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.
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.
Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
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.D. in Computer Science, Machine Learning, or a related quantitative field.
Proven industry experience in building and deploying production-level machine learning models.
Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models.
Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.
Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.
Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.
Familiarity with cloud platforms like GCP or Azure.
Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects.
Good understanding of software development principles, data structures, and algorithms.