Machine Learning Engineer in New York

Machine Learning Engineer - MLOps Team

We are seeking a skilled Machine Learning Engineer to join our growing MLOps team. In our fast-paced startup environment, you'll work closely with our data scientists and data engineers to productionize models and build robust, scalable classification systems. You will have the autonomy to drive the evolution of our ML infrastructure—from development through deployment—and make a direct impact on our product's success.

Key Responsibilities:

• Develop and Optimize ML Pipelines:

Write efficient, clean, and maintainable Python code to implement machine learning pipelines for various classification projects. Ensure these pipelines meet production-grade standards for performance and scalability.

• Production Deployment:

Deploy and optimize diverse classification models—including cross-encoders, bi-encoders, transformers, and custom PyTorch networks—ensuring effective GPU/CPU resource...

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.

About the Role

Gradio is the most widely used library to build and share machine learning demos, with more than 6m monthly downloads on PYPI. It is maintained by the Gradio team within Hugging Face. 

We are currently working on a suite of AI tools to help users quickly understand and write Gradio code.The first is the Playground: a code editor on our website which can generate or update complete Gradio demos based on a user’s query. 

The main objective for a Machine Learning Engineering intern will be to expand this effort. We can leverage ~500k Gradio spaces and thousands of existing prompts from users to build a...

Career Renew is recruiting for one of its clients a Machine Learning Engineer - Crypto - this is an onsite position in NY, US.

We are a pioneering platform that enables anyone to create a coin in under 1 minute for free. Launched in January 24, the platform has quickly become the home of memecoin creation and trading on Solana, and by extension, the entire crypto space. The platform has generated over $300 million in revenue since March 2024 - attracting significant attention in the crypto community.

Requirements

Must be Proficient in Python / SQL and ML frameworks deployed in GCP or AWS (preferred)

Strong understanding of ML: NLP, computer vision, transformer models.

Experience working at a fast moving impressive crypto company or FAANG level company or scale-up.

Must be able to work fully office based in NYC

Benefits

• Significant upside
• Competitive...

About Arthur

At Arthur, we are deeply passionate about building technology to make AI understandable, effective, and fair. Arthur makes machine learning work for enterprises through performance monitoring, explainability, and bias detection. We believe strongly in front-end ethics: building a company and industry where strong performance and a positive human impact are inextricably linked. This position is a rare (and fun!) opportunity to help shape the future of AI and its real-world impact.

About the role

Arthur is looking for product-focused Machine Learning Engineers to join our team, to operate with autonomy and with the support of the team to lead and build out our product vision and deliver value to our customers.

What you'll do

• Focus on ML, especially LLMs, model performance, security, and robustness: make LLMs and model-based systems respond accurately,...

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.

About the Role

As an open-source Machine Learning Engineer, you will work to improve the open-source machine learning ecosystem. You will mainly work with existing open-source libraries, such as Transformers, Datasets, or Accelerate, and you will interact with users and contributors of the broad open-source machine learning ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful.

You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners and data scientists on...

Do 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, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future!

If you are craving to learn something new every day while working at the cutting edge of AI, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of...