Crusoe Cloud is a managed cloud services platform powered by stranded energy that enables climate-friendly innovation in computationally intensive fields including artificial intelligence, graphics rendering and computational biology.

We're in search of a Tech Lead to shape the evolution of our deep phenotyping machine learning system, genetic sequencing workflows, and patient intelligence platform. Our annually recurring revenue is growing >6x year over year, we’re profitable, and our roadmap is packed with innovations in bioinformatics, machine learning, and drug development.

We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work. TeachFX uses AI to show educators personalized insights about the learning dynamics in their classroom, helping them understand which of their instructional practices are making the greatest positive impact on student engagement and equity.

Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Nearly every engineer on our measurement teams at Tatari relies on this data, and as a member of this team, you would be at the center of product innovation.

2+ years working as a professional software engineer. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement.

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.

We build full-stack applications, tooling, and frameworks to improve the productivity of teams at Discord, in particular our product, analytics, and machine learning teams. 5+ years of experience as a Software Engineer.

Spatial Labs is seeking an experienced Artificial Intelligence (AI) Engineer with a focus on wearable products to join the Spatial Labs team. Experience with popular machine learning and deep learning frameworks such as GPT , TensorFlow, Keras, PyTorch, and Scikit-learn.

Developing real-time, high availability video intelligence systems in cloud and on edge, with lots of ownership and opportunities to implement novel solutions. Founded in 2018 by engineers from Stanford, Cisco Meraki, and Samsara, Spot AI is the fastest growing Video Intelligence company in the U.S. We are upending the $30 billion video surveillance market with an AI Camera System to help people at work create safer, smarter organizations.

The heart of insitro's strategy is the combination and application of machine learning to disease biology at scale, and novel analyses from clinical and cellular datasets that address key shortcomings in the target discovery and drug development process.

The Machine Learning Platform team builds and supports the critical Distributed Training Framework and tools for every machine learning engineer at Cruise. Our goal is to greatly accelerate the development cycle of machine learning models across the whole company, empowering machine learning engineers to focus on improving the car’s safety and performance, instead of worrying about their infrastructure.

We’re building the world’s most advanced healthcare platform from the ground up, combining hardware, software and doctors under one roof. Forward was founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), Joe Lonsdale (Palantir Founder), and Garrett Camp (Uber co-Founder.

We have a fast-growing team that's distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.

Su plataforma permitir mantener un control de activos mediante la identificacin, evaluacin y monitorizacin de los mismos, y, para seguir evolucionando su producto, necesitan de un/a Software Engineer que les ayude en este gran reto.

Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance.