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Pytorch Huggingface Jobs (NOW HIRING)

Garner Health

Senior Applied Scientist

New York, NY

$236K - $260K/yr

Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume - bring your judgment. This is a unique ...

Capgroup

Senior Machine Learning Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

Exposure to modern ML frameworks (e.g.,PyTorch,HuggingFace, etc.). * Experience reviewing research papers and translating relevant ideas into practical implementations. What We Value Most Engineering ...

Garner Health

Staff Applied Scientist

New York, NY

$260K - $382K/yr

Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume - bring your judgment. Why this role ...

Higharc

Prototype Engineer

$36.50 - $41/hr

Familiarity with LLM APIs (OpenAI, Anthropic, or open-source), vector databases, RAG architectures, Python ML ecosystem (PyTorch, HuggingFace), modern frontend frameworks (React/Next.js), CI/CD and ...

Siemens

Software Engineer

New York, NY · On-site

$137K - $185K/yr

ML: PyTorch, HuggingFace, ONNX Runtime, LangChain * Infrastructure: AWS, Kubernetes, Redis, Postgres, S3, Terraform * DevOps & Observability: GitHub Actions, Datadog, Grafana, Prometheus We do not ...

Apexon

AI QE Architect and Governance Leader

Southfield, MI · On-site

$153K/yr

Scikit-learn, TensorFlow, Keras, PyTorch, HuggingFace Transformers, OpenCV, NLTK and BART * Understanding of RAG architectures, embeddings, and semantic search (bonus). GenAI & AI Agent Development

Invoca

Senior ML Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy) * Demonstrated track record deploying and maintaining transformer-based NLP models in production * Hands-on ...

Invoca

Senior ML Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy) * Demonstrated track record deploying and maintaining transformer-based NLP models in production * Hands-on ...

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All JobsPytorch Huggingface Jobs

Pytorch Huggingface information

What are the key skills and qualifications needed to thrive as a PyTorch Hugging Face Engineer, and why are they important?

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 are Pytorch Huggingface developers?

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.
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Pytorch Huggingface jobs near you
Infographic showing various Pytorch Huggingface job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 96% Full Time, and 3% Temporary. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.
Software Engineer, ML Platform

Software Engineer, ML Platform

Sola Solutions Inc

New York, NY • On-site

$150K - $350K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

Join Us in Building the Future of Digital Work
At Sola, we're transforming the way work is done. We're developing AI agents that make powerful automation effortless, enabling any user to record a workflow and instantly scale it up to millions of executions.
Sola today powers enterprise workflows in Fortune 100 companies, with a horizontal platform that works across healthcare, finance, legal, logistics, and more. We've raised $21M in funding from a16z, Conviction (Sarah Guo), and Y Combinator, and are looking for passionate engineers to help us continue to scale.
If you're interested in being on the forefront of agentic automation, we'd love to hear from you!
What to expect
We're solving one of the most interesting problems in AI today: building reliable, deterministic execution on top of non-deterministic AI models.
As one of our first dedicated ML platform hires, you'll work directly with our CTO to bring state-of-the-art AI capabilities into production. This is an engineering role, not a research role. You'll own the systems that make our AI reliable, observable, and scalable, turning AI research into production features.
This is an opportunity to join a small, tight-knit team at our HQ in NYC. We believe the best work happens in person, especially at the early stage, and you'll have the opportunity to learn from the founding team and early engineers to help shape the future of the company.
What you'll do
  • Partner directly with our CTO to turn AI research and experiments into production-grade features
  • Investigate and prototype new AI capabilities, taking early-stage ideas and quickly determining what's feasible to build and ship
  • Build observability and evals infrastructure so we can monitor models in production and measure whether they're succeeding
  • Take ownership of AI features end-to-end, from design through deployment and monitoring, collaborating with other teams as needed to bring features to production
What we're looking for
  • You have 3+ years of experience as an engineer, including recent work on cutting-edge ML and AI systems
  • You've owned production AI features end-to-end, from experimentation to maintaining live production infrastructure
  • You're proficient in Python with hands-on experience in modern ML frameworks (e.g. PyTorch, HuggingFace, DSPy)
  • You're open to working 5 days a week out of our office in NYC (we'll cover relocation!)
You might excel if
  • You have hands-on experience operating at an early stage startup where ownership and execution in the face of ambiguity were essential
  • You bring an ML research background on top of your engineering skills, particularly in areas relevant to Sola (e.g. CUA, agentic reasoning, visual grounding, VLMs, fine-tuning)
  • You're an expert in some or all of our stack: Typescript, Python, DSPy, vLLM / TensorRT, Temporal, Kubernetes
  • You're ambitious, creative, and a great communicator
Why Sola
  • $21M raised from top-tier VCs (a16z, Conviction, YCombinator) and growing incredibly fast
  • Proven traction with Fortune 100 customers, with horizontal applicability across a variety of domains (including finance, healthcare, legal, logistics, and more)
  • Leading-edge agentic AI tech, solving deep problems in partnership with the AI labs (ex. Anthropic, AWS AGI Lab)
  • Small team, early stage, with an opportunity for outsized impact on the company's future
  • Work closely with founders Jessica Wu (ex-Citadel, Thrive Capital) and Neil Deshmukh (MIT Quest for Intelligence Lab), alongside David Fullerton (ex-CTO Heap, Stack Overflow)
Compensation & Benefits
Sola offers competitive salary plus meaningful equity at Series A stage. Exact compensation is based on experience and level.
We offer comprehensive medical, dental, and vision benefits, 401(k) matching, daily meals together in the office, flexible PTO (4 weeks per year), and relocation support for candidates not already based in NYC.

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