machine learning engineer jobs in New York

We're looking for a Machine Learning Engineer About the role... Cosmos is looking for a Machine Learning Engineer specializing in personalization and recommendation systems to join our engineering team in New York City or Warsaw. You'll be part of our team that develops cutting-edge machine learning models that enhance user experience, drive engagement,...

About the Company Our client is a high-growth, AI-forward consumer platform that has already reached millions of users and is scaling fast. Their product blends thoughtful, expert-driven guidance with intelligent technology, and they're building the next generation of that experience now. The team is small, high-ownership, and moves quickly, and we're...

WireScreen is a fast-growing Series A startup bringing clarity to one of the world’s most complex business landscapes. We’re building the go-to intelligence platform for navigating global supply chains and China-related risk—revealing the networks, relationships, and financial ties behind companies so our customers can see connections, remove...

Job Overview:We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world problems. You will work closely with data scientists, software engineers, and business stakeholders to implement advanced machine learning solutions and...

About TeleskopeTeleskope is redefining data security for the AI era with the only dedicated platform that combines precise visibility with automated remediation. Teleskope continuously scans, catalogs and classifies data in-motion and at-rest while automating policy-based actions, helping organizations proactively manage data sprawl while securely enabling...

DescriptionTL;DR – We’re building humanity’s defense layer for the AI age and are looking for an exceptional machine learning engineer to build the AI decision system that turns raw signals into trusted operational decisions across device, cloud, and offline environments.If you would have joined early Tesla to make Autopilot work in the real world and...

About RunSybilRunSybil is an AI security startup scaling offensive security services by automating hacker intuition. We’re building Sybil: an AI-powered penetration testing product that finds vulnerabilities faster than human hackers. Backed by strong investor support and early customer traction, our team is composed of experts from the likes of OpenAI,...

Virtu’s Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our quantitative researchers. This is a unique opportunity to work at the intersection of machine learning and systematic trading — building tools that directly...

DescriptionDo you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone,...

Who We Are Good Inside is redefining parenting - not as something that should “just come naturally,” but as a skill to learn and practice. Founded by Dr. Becky Kennedy and Dr. Erica Belsky, we combine sturdy leadership with innovative technology to give parents personalized guidance, AI-powered support, and a global community. Our mission: help parents...

About ReplayAt its core, Replay was founded to help founders. We started by supporting startups through shutting down, but we have since expanded into unlocking a new revenue stream for all types of businesses.In 2025, we had a unique insight: the data every company generates each day through collaboration, communication, and building is some of the most...

We’re hiring a Machine Learning Engineer to take ownership of developing and optimizing creative models for understanding the radio spectrum. You’ll be responsible for translating high-level problem statements into working machine learning solutions—owning the entire process from research to implementation. Your work will have an immediate impact,...

Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial.Arlo...

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Driver, Marketplace, and beyond....

Why Dorsia Dorsia is at the forefront of hospitality tech innovation. We are revolutionizing the way people experience dining by leveraging cutting-edge technology to offer exclusive restaurant reservations and VIP experiences. Join us as we continue to expand our footprint and reshape the hospitality industry. About the Role We’re looking for a Machine...

About the RoleWe are looking for a Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the workflows, infrastructure, and processes that enable ML to move from research into reliable production systems.You will partner closely with research-oriented ML...

About RampRamp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.The problems are high-stakes, data-dense, and unforgiving.We...

Introducing KeplerThe ProblemHigh-stakes industries are falling behind on AI adoption. Their workflows can’t afford wrong answers. And AI can’t be trusted to give right ones because of hallucinations. The barrier isn’t that the models aren’t smart enough. It’s that no one can verify what they produce. The fix isn’t a better model, it’s a trust...

About the companyRoot Access is a frontier electronics company. We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning.Core ResponsibilitiesArchitect Physics Foundation Models: Design and train deep learning models.Build the ECAD Data Pipeline: Develop...

Are you passionate about building and deploying intelligent systems that transform industries? At CoreIntels, we are pushing the boundaries of AI-driven automation, predictive analytics, and deep learning solutions. Join us to develop cutting-edge machine learning models and work alongside top-tier engineers in a dynamic, fast-paced environment.Why You’ll...