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Pytorch Developer Jobs in New York (NOW HIRING)

Quantitative Developer Intern

Manhattan, NY

$21.25 - $27.75/hr

We are looking for exceptional students to join us as quantitative developer interns for Summer ... Numpy, Pandas, PyTorch, etc.) * Knowledge of version control (Git) and software CI/CD tools and ...

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Summer ... Numpy, Pandas, PyTorch, etc.) * Knowledge of version control (Git) and software CI/CD tools and ...

Machine Learning Engineer (GCP)

Manhattan, NY · Remote

$58.25 - $79.75/hr

... PyTorch, or Scikit-learn. * Knowledge of Kubernetes and containerization (Docker). * Experience with CI/CD tools such as Jenkins, CircleCI, or GitLab for ML pipelines. * Strong knowledge of DevOps ...

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Summer ... Numpy, Pandas, PyTorch, etc.) * Knowledge of version control (Git) and software CI/CD tools and ...

Senior AI Engineer

Piscataway, NJ · On-site

$106.50K - $146.20K/yr

Senior AI Engineer Location: Piscataway, NJ (Hybrid from day one) Local to NJ candidates are ... Develop and deploy machine learning models using Python and frameworks like PyTorch and TensorFlow.

Senior AWS Python Developer

New York, NY · On-site

$132.90K - $178.90K/yr

... PyTorch Tensor Flow is strongly preferred Familiarity with the agile process stand ups planning ... engineering a plus Skills Mandatory Skills : AWS API Gateway, AWS Cloud Architecture, Python

Sr. AI Developer w/ Reactjs

Warren, NJ · On-site

$56.50 - $74.75/hr

Sr. AI Developer w/ Reactjs Location: Warren, NJ (Onsite) Position type: W2 contract. Job Overview ... Strong proficiency in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or ...

AI Fullstack Developer

Montvale, NJ · On-site +1

$75 - $85/hr

* We are seeking a highly skilled Full Stack Developer with a strong background in React , RESTful ... Experience working with or integrating AI/ML models via Python, TensorFlow, PyTorch, or APIs (e.g ...

Strong ML engineering with strong proficiency in PyTorch . * Hands-on experience with Databricks ... Expert-level Python and PySpark skills for large-scale data processing. * Familiarity with cloud ...

Cloud Data Developer/Engineer

Nutley, NJ · Hybrid

$116.40K - $139.80K/yr

... PyTorch). • Experience with Databricks, including cluster usage and performance optimization; exposure to Unity Catalog and platform administration is a plus. • AWS and/or Databricks ...

New

... PyTorch, etc.) * Experience with distributed systems and data pipelines * Cloud platforms (AWS, Azure, or similar) * Strong system design and DevOps fundamentals, specifically with CI/CD * MLOps ...

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Pytorch Developer information

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

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

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What cities in New York are hiring for Pytorch Developer jobs? Cities in New York with the most Pytorch Developer job openings:
Quantitative Developer Intern

Quantitative Developer Intern

Point72

Manhattan, NY

$21.25 - $27.75/hr

Other

Posted 28 days ago


Job description

Job Description
A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.
We are looking for exceptional students to join us as quantitative developer interns for Summer 2025. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact.
You will gain exposure to a variety of activities, which may include:
  • Enhancing quantitative research platforms by benchmarking and integrating in-house and cloud technologies
  • Optimizing data ETL pipelines, persistent/in-memory caches, and SQL databases
  • Improving research and trading tools and infrastructure
Desirable Candidates
  • Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline
  • Strong programming experience in Python with production-level coding quality
  • Experience with Unix environment and shell scripting
  • Experience with cloud computing, ideally AWS and Databricks
  • Experience with numerical Python libraries (e.g. Numpy, Pandas, PyTorch, etc.)
  • Knowledge of version control (Git) and software CI/CD tools and lifecycle
  • Knowledge of profiling (e.g. cProfile, SnakeViz, memory-profiler, etc.) and code optimization is a plus
  • Knowledge of statistics and machine learning is a plus
  • Willing to take ownership of his/her work, working both independently and within a small team
  • Prior experience in the financial services industry is not required
  • Commitment to the highest ethical standards

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth.