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Machine Learning Engineer will join our Applied Data Science group, part of Nexxen DSP Software Development. Senior Machine Learning Engineer, AdTech. In this hands-on role, you will work in close collaboration with data scientists to build the next generation of applied data science infrastructu...

You have a strong background in machine learning, especially experience with recommender systems. You are experienced with feature engineering and building scalable data pipelines. Facilitate collaboration with other engineers, product owners, and designers to solve interesting and challenging pr...

Machine Learning Research Scientist / Research Engineer, LLM Evaluation. We are seeking Research Scientists and Research Engineers with expertise in LLM evaluation. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.

Software Engineer, Machine Learning (Multiple Levels) - Slack. This presents a unique and exciting opportunity for AI/ML to reshape how users explore and interact with their data. Collaborate with cross-functional teams to identify high-impact AI/ML opportunities.

The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Serve as a cross-functional representative and advocat...

Generative AI / Machine Learning Engineer - NYC. Generative AI / Machine Learning Engineer - NYC. Generative AI / Machine Learning Engineer - NYC.

Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. This role operates at the forefront of AI research and real-world implementation, with a str...

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. You will contribute to impactful research publications on agents, collaborate with customer researcher...

Internship Opportunity: AI & Automation Engineer Intern 📍 Bali, Indonesia 🕒 Duration: 4–6 months | Unpaid Build the Future. Automate Everything. Step into the cutting edge of AI and automation with real-world applications for global startups. Work directly with Julien Uhlig to implement AI...

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to bu...

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music...

Build scalable machine learning models for claim time series forecasting,NLP text understanding, and generative AI solutions.

Facilitate collaboration with other engineers, product owners, and designers to solve interesting and challenging problems for delivering various media worldwide. You are experienced with feature engineering and building scalable data pipelines in Scio.

Vestwell is the financial technology company powering the new savings economy. The New York City-based fintech platform redefines how people save for the critical aspects of life across retirement, education, and healthcare savings needs. Today, Vestwell enables over 350,000 businesses and nearl...

You will own our streaming offline and online feature store capabilities, enabling Machine Learning Engineers (MLEs) to efficiently perform data exploration and feature engineering operations and utilize features for model training and model inference (batch, near real-time and online). ML Platfo...

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find lov...

Perplexity is seeking experienced Applied AI&ML Engineers to help build next generation of personalization experience. Partner with product managers and partner team engineers to ensure fast and high quality deliverable to end users.

Slingshot AI Slingshot AI is the team behind Ash, the first AI designed for therapy. Our mission is to make mental healthcare more accessible and help people change their lives in the ways they want. We’re building a world-class team by empowering individuals with the autonomy, flexibility, an...

Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their work and billions of fans the opportunity to enjoy and be inspired by it. The Music Mission team owns Spotify’s end to end proposition for music creators and th...

As a deeply technical and execution-focused individual, you will collaborate closely with business, engineering, and data stakeholders to translate strategic opportunities into deployable machine learning solutions. Boost’s machine learning capabilities. Machine Learning Engineering or Applied ML...

Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways.

Our Mission Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other ...

As a Machine Learning Engineer you will lead the framing, development, and deployment at scale of machine learning models to understand the risk of various classes of businesses. You have in-depth understanding of applied machine learning algorithms, especially NLP, and statistics.

The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Scale employees in eligible roles are also granted equ...

Expertise in GenAI frameworks, prompt engineering, and model serving. The Senior Machine Learning Engineer will play a crucial role in advancing our GenAI capabilities, pushing the boundaries of innovation while ensuring practical application and scalability. Job Title: AI/ML Engineer (GenAI).

Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. At Scale AI, our mission is to accelerate the development ...

With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP). We interface directly with clients to build cutting edge products using the arsenal of proprietary r...

Office Location: Lower Manhattan, NY - Hybrid US Citizenship Required Accrete AI is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-wo...

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source techno...

We are looking for a Principal Software Engineer with at least 15 years of experience writing software. You’ll use Microsoft Azure and work with artificial intelligence (AI), machine learning (ML), and systems where software agents work together to get things done.