We're #hiring a new Machine Learning Engineer in Austin, Texas. Apply today or share this post with your network.
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What to Look for When Hiring a Machine Learning Engineer - When hiring an ML Engineer, recognizing specific attributes will ensure your new hire is capable and adds value to your team. Here are some skills and qualities to look for when hiring Machine Learning Engineers: https://hubs.li/Q02DLts30
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We're hiring a Machine Learning research scientist or engineer to work on active learning for small-data and data-limited domains, especially biology. To do this, we're developing RL-flavored transformer-successor systems that learn a model of the world through interactive observation. These systems then mechanistically reason over that model to select actions, infer hidden states (e.g. perception), and assess uncertainty (e.g. for improving the model, counterfactual reasoning, and constraint satisfaction). Unlike other approaches leveraging LLMs, we do not pretrain with human data - competency is wholly bootstrapped. (By induction, if we can go from 0 -> 1, then we can also go 1 -> N.) This research is funded by Schmidt Futures, hence we will publish our results and encourage collaborations. Please send a message if this interests you! tim@springtail.ai
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https://lnkd.in/dguMSc9H Job Overview As a Senior Machine Learning Engineer II, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations. You will work closely with various engineering teams across ML, full-stack, firmware as well as cross functional partners to deliver core infrastructure, services, and optimizations. You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world’s physical operations. You are a life-long learner: We have ambitious goals. Every has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together. In this role, you will: Build and improve the accuracy of ML models, including retraining and optimizing open-source models to solve Samsara-specific problems Work with petabyte-scale data from camera and sensor devices to develop new models Optimize models for inference on the backend and/or on edge devices Partner with hardware and full-stack teams to deploy model for optimal performance and cost Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs Collaborate with PM to translate customer needs to ML solutions Champion, role model, and embed cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: BS or MS in Computer Science or other relevant field 4+ years experience as an Machine Learning Engineer, Applied Scientist, or similar role Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala) Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch) Experience deploying and iteratively refining models using customer feedback loops . . . . . .
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11 of 28 #job #openings on 5/14 ✴️ #data #scientists & #ml engineers ✴️ HubSpot #checkitout and #share. #follow Suresh V. for #cool opportunities and ideas! #opportunity #usajobs #usa #hiring #hiringnow #open #jobsearch #reshare #engineeringjobs #engineering #givingback #spreadtheword #connectandgrow #repost
Hi all, I’m hiring Data Scientists and Machine Learning Engineers! My team (of 10 data scientists and MLEs) delivers AI internally to thousands of sales, customer success, and support reps. Unlike many companies, our investment in AI isn’t lip service or a buzz word. It’s shaping our road map at all levels of the company. Besides classic machine learning, we're diving into RAG and LLM fine-tuning. Depending on experience and skill-level, we’ll flex on seniority. Come join us! ✅ Unlimited PTO ✅ Remote friendly ✅ 23% YoY revenue growth 👇 Job links in comment
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Do you love solving puzzles with data? Become a Machine Learning Engineer! Machine learning engineers are like data detectives who build cool tech using special algorithms. They take mountains of information and turn it into something amazing, like: 📌Super smart recommendations on your favorite shopping sites 📌Voice assistants that understand exactly what you're saying ️ 📌Self-driving cars that navigate the road safely If you're good at math, coding, and thinking creatively, this might be the perfect job for you! #EliteeXceed #MachineLearningEngineer #AI #TechCareers
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Discover the current trends and average salaries for entry-level Machine Learning Engineers in the United States, providing insights into this burgeoning field. 𝐊𝐧𝐨𝐰 𝐌𝐨𝐫𝐞 👉 https://lnkd.in/gv-AYZrv #MLSalary #EntryLevelJobs #MachineLearning #AIEngineer #AIJobs #EngineerSalary #101Blockchains
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Networking Expert | Land 4-5 NEW Interviews per month 😉 Book a call below or DM me '100K' to chat about your career
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Hey machine learning engineers! Interested in shaping the future of YouTube recommendations? We are looking for an ML engineer to help create state-of-the-art recommendation models to improve the homepage user experience. If you have ML expertise and love solving challenging problems at scale, please apply below!
Software Engineer III, Machine Learning (Recommendations, Rankings, and Predictions), YouTube
google.com
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🚀 Exciting news! Our team is scaling up our AI initiatives in the smart home security space and we are looking for top talent! • Data Scientists • Machine Learning Engineers • Embedded / Cloud If your interested, send me a message or tag a great candidate in the comments. #AIJobs #TechHiring #DataScience #MachineLearning #EmbeddedSystems #DeepLearning #MLJobs #TechJobs #ArtificialIntelligence
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