Machine Learning Engineer in New York

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

For this position, you will be making cutting edge speech-to-text and text-to-speech technologies more accessible to the open-source community.

You will work in existing open-source libraries, such as Transformers, boosting the support for robust speech-to-text, speaker diarization, text-to-speech and lead the creation of novel open-source libraries for ML in audio.

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 a daily basis through GitHub, Discord, our...

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,...

We are seeking a skilled Machine Learning Engineer to join our growing MLOps team. In this role, you will work closely with our data scientists, data engineers, and platform engineers to develop and deploy machine learning models and pipelines for various classification projects and more.

Key Responsibilities

• Develop efficient, clean, and maintainable Python code for machine learning pipelines, leveraging our in-house libraries and tools
• Collaborate with the team on code reviews to ensure high code quality and adhere to best practices established in our shared codebase
• Contribute to building and maintaining our MLOps infrastructure from the ground up, with a focus on extensibility and reproducibility
• Take ownership of projects by gathering requirements, creating technical design documentation, breaking down tasks, estimating efforts, and executing with key performance indicators (KPIs) in mind
• Optimize machine learning...

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

The energy requirements of machine learning models have been rising in recent years, raising concerns regarding the impacts of this on energy grids and the environment.

Building upon the AI Energy Score project, this internship will continue experimentation and analysis to get a better understanding of the energy efficiency of different models and deployment contexts (hardware, optimization techniques, serving stacks).

About You

If you love open-source but also have an eye for art and creativity, are passionate about making complex technology more accessible to engineers and artists, and want to...

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

This internship works at the intersections of software engineering, machine learning engineering, and education. With a strong focus on distributed training through the accelerate library (https://huggingface.co/docs/accelerate/index), we’ll focus on bringing state-of-the-art training techniques into the library while also documenting and helping teach others how they work.

By the end of this internship, the candidate will have touched on all aspects of distributed training and core library contributions, including large-scale distributed training, API design, writing educational material aimed at a semi-technical audience,...

WerQ AI is at the forefront of leveraging artificial intelligence to redefine workplace efficiency and effectiveness. We are seeking a Machine Learning Engineer specializing in Federal projects to join our innovative team. In this role, you will work closely with government agencies to design, implement, and optimize machine learning models that address critical challenges in various sectors. You will have the opportunity to contribute to impactful projects while ensuring compliance with federal regulations and standards. Your technical expertise will play a crucial role in delivering adaptive and scalable solutions that meet the specific needs of our federal partners. If you are passionate about machine learning and eager to make a difference in the public sector, we encourage you to apply and join our mission-driven team.

Responsibilities

• Design, develop, and maintain machine learning models to solve complex problems for federal clients.
...

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...