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Pytorch Developer Jobs in New York (NOW HIRING)

Senior Deep Learning Engineer

Manhattan, NY

$115.20K - $158.20K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural network techniques and PyTorch to help us push the boundaries of computer vision in real-world ...

Python Developer with AWS

Manhattan, NY

$55.50 - $76.25/hr

... 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

Senior Deep Learning Engineer

New York, NY · On-site

$114.30K - $157K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural network techniques and PyTorch to help us push the boundaries of computer vision in real-world ...

About the Role Our Machine Learning Engineering team powers personalized experiences for hundreds ... Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or ...

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

ML Engineer Lead

Edison, NJ · Remote

$103.90K - $136.80K/yr

Lead ML Engineer Work Location: Edison, NJ( Remote) : * Specialization below Machine Learning ... Strong command of pytorch or tensorflowkeras * Incorporation of Multimodal processing including ...

SRE Support Engineer

Stamford, CT · On-site

$60.75 - $80.75/hr

Experience Minimum of 5+ years of experience in software engineering. * Must have L2 Support ... Implement AI/AgenticAI/ML models using frameworks like ChromaDB, PyTorch, Jira, OpenAI, lanchain ...

Required Skills Python, NumPy, Pandas PyTorch, TensorFlow, XGBoost Experience with LLMs (OpenAI ... Work closely with data scientists and DevOps. * Optimize model performance and deployment. * Good ...

ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...

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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:
Machine Learning Engineer@ VA/ NYC

Machine Learning Engineer@ VA/ NYC

PALNAR

Manhattan, NY

Other

Posted 10 days ago


Job description

Role Info:
  • Looking for a Machine Learning Engineer with strong python, scala, AWS, Kubernetes & machine learning frameworks.
  • 80% of model Engineering work & 20% of operations work
  • Email arbitration with real time data processing.
  • Has model in Random forest model and moving to transformers soon in feature development.
Top Skills:
  • 5+ years of exp. in Machine Learning Engineer
  • Python exp. is a must.
  • Scala exp. is a must.
  • ML Frameworks (TensorFlow, PyTorch, Scikit-learn & Keras) exp. is a must.
  • AWS exp. is a must.
  • Kubernetes exp. is a must.
  • Experience with CI/CD