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Pytorch Huggingface Jobs in New York (NOW HIRING)

Post-Doctoral Fellow

Manhattan, NY · On-site

$60K - $79K/yr

... e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK.) Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted ...

Post-Doctoral Fellow

Manhattan, NY · On-site

$60K - $79K/yr

... e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK.) Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted ...

Machine Learning Engineer

Manhattan, NY · Hybrid

$145K - $180K/yr

Experience with both TensorFlow (SavedModel, tf.data, XLA, TFLite) and PyTorch (TorchScript, ONNX ... Familiarity with open source HuggingFace LLMs. * Experience with data pipeline and workflow ...

Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas You'll get ...

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

... keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse. * Command of data science and ... HuggingFace, and GPT‑x etc.). * Experience with natural language processing toolkits like NLTK ...

Data Scientist

Manhattan, NY · On-site

$190 - $220/hr

Fluent programming skills in Python, and fluency with modern data science and ML/NLP libraries (PyTorch, Tensorflow, HuggingFace, etc.). * Deep fluency and instincts for data manipulation, treatment ...

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Showing results 21-40

Pytorch Huggingface information

What are the key skills and qualifications needed to thrive as a PyTorch Huggingface engineer?

To thrive as a PyTorch Hugging Face Engineer, you need a strong background in deep learning, Python programming, and experience with machine learning frameworks, supported by a relevant degree such as computer science or engineering. Familiarity with PyTorch, Hugging Face Transformers library, version control systems like Git, and often cloud platforms (e.g., AWS, GCP) is essential, with certifications in machine learning or cloud technologies being advantageous. Strong problem-solving skills, collaboration, and clear communication help you effectively design, implement, and optimize NLP models in cross-functional teams. These skills ensure you can build state-of-the-art AI solutions efficiently, troubleshoot complex challenges, and deliver impactful results in the fast-evolving field of natural language processing.

What is the difference between Pytorch Huggingface vs Machine Learning Engineer?

AspectPytorch HuggingfaceMachine Learning Engineer
CredentialsProficiency in Python, deep learning frameworks, familiarity with NLP librariesDegree in CS, data science, or related field; experience with ML models
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLP and deep learningTech companies, consulting firms, R&D departments across industries
UsageDeveloping NLP models, fine-tuning transformers, deploying AI solutionsDesigning, building, and deploying ML models across various domains

While Pytorch Huggingface specializes in NLP model development using transformer architectures, Machine Learning Engineers work across diverse ML applications. Pytorch Huggingface skills are often part of a Machine Learning Engineer's toolkit, but the roles differ in scope and focus.

What is a PyTorch Huggingface engineer?

PyTorch Hugging Face developers are professionals who specialize in building and deploying machine learning and natural language processing (NLP) models using PyTorch, an open-source deep learning framework, and the Hugging Face library, which provides a wide range of pre-trained models and tools for NLP tasks. These developers create, fine-tune, and implement models for tasks like text classification, question answering, and language generation. Their expertise includes working with model architectures such as BERT, GPT, and others, as well as integrating models into applications or research projects.

How do PyTorch Huggingface engineers typically collaborate with data scientists and researchers in a project setting?

PyTorch Huggingface engineers often work closely with data scientists and researchers to implement, fine-tune, and deploy state-of-the-art machine learning models. Collaboration involves regular discussions to understand project objectives, translating research ideas into efficient code, and iterating on model performance. Engineers are responsible for optimizing model pipelines, integrating new features, and ensuring compatibility with the Huggingface ecosystem. Effective communication and teamwork are essential, as projects usually require frequent feedback loops and joint problem-solving sessions.
What job categories do people searching Pytorch Huggingface jobs in New York look for? The top searched job categories for Pytorch Huggingface jobs in New York are:
What cities in New York are hiring for Pytorch Huggingface jobs? Cities in New York with the most Pytorch Huggingface job openings:

Post-Doctoral Fellow

Child Mind Institute

Manhattan, NY • On-site

$60K - $79K/yr

Full-time

Medical, Retirement

Posted 17 days ago


Job description

About Child Mind Institute

We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments.


Position Details:

As the Post-Doctoral Fellow in the Center for Strategic Data Initiatives, you will lead the development of machine learning models and conduct advanced data analyses, with a focus digital journaling, survey, cognitive, biometric, and/or multimodal data types. You will be primarily responsible for designing, documenting, and conducting experiments that evaluate meaningful signals of mental health derived from multimodal data sources, developing analytical models to evaluate validity of these signals, and publishing findings in peer-reviewed scientific journals.

This is an exempt, full-time, hybrid position located in our NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor.

You Will:

  • Lead the design and execution of research studies involving complex analytical workflows including data preprocessing, feature engineering, model development, scientific analyses, data visualization, and validation.
  • Develop reproducible, scalable, well-documented code and pipelines suitable for high-performance computing ecosystems, with version control through GitHub or equivalent repositories. 
  • Apply both pre-trained and custom-made machine learning models and data manipulation pipelines to research and clinical contexts, ensuring the responsible handling of sensitive data.
  • Write, submit, and publish research findings in peer-reviewed scientific journals, present findings at conferences, and contribute to the preparation of grant proposals and funding applications.
  • Mentor and provide guidance to graduate students, research assistants, and junior team members on research methodologies and data analysis techniques.
  • Collaborate with interdisciplinary research teams to define project objectives, establish timelines, monitor progress, and ensure successful completion of research milestones while contributing to the intellectual direction of the team through participation in research planning meetings and strategic discussions.
  • Perform additional job-related duties as assigned.


You Have:

  • PhD in Neuroscience, Psychology, Engineering, Computer Science or similar domain.
  • 4+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting.
  • 4+ years of experience including education in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required.
  • 2+ years of experience including education working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker).
  • 2+ years of practical experience designing and developing ML and NLP technologies using ML and NLP toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK.)


Our Benefits

Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website.


Pay Range

The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting.

#LI-on-site, #LI-hybrid


EEO Disclaimer

Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind.

We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws.

In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL).

Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org

This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.