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Pytorch Developer Jobs in Hackensack, NJ (NOW HIRING)

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and ... Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or ...

iSoftStone

Associate AI Developer

White Plains, NY

$20/hr

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow ...

Tata Consultancy Service Limited

Engineer

Jersey City, NJ · On-site

$90K - $100K/yr

... Engineering, RAG Architecture, Agentic AI. - Basic knowledge of Hybrid prompting technique ... PyTorch, TensorFlow, Keras - Hands-On knowledge on NLP - Understanding of model deployment and ...

iSoftStone

Associate AI Developer

White Plains, NY · On-site

iSoftStone , Inc. is seeking an A ssociate AI Developer to join our Team In New York, NY, Seattle ... Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow ...

PDT Partners

Performance Engineer

New York, NY · Hybrid

$195K - $225K/yr

Focus on infrastructure/system-level efficiency, working across Python, PyTorch, OS, networking ... Versatile engineering mindset: ability to learn quickly, tackle diverse challenges, and adapt.

iSoftStone

Associate AI Developer

White Plains, NY

$20/hr

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow ...

iSoftStone

Associate AI Developer

White Plains, NY · On-site

$20/hr

Description iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY ... Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow ...

KARGO

Senior Machine Learning Engineer

New York, NY

$114K - $157K/yr

Reduce training time and inference cost on multimodal/VLM workloads through Ray, PyTorch ... developer iteration speed, not just model accuracy Cross-Functional Translation * Explains ...

Spiral

Software Engineer - Systems

New York, NY · On-site

$200K - $275K/yr

Our users are AI/ML researchers and AI infra engineers developing models in complex domains, such ... PyTorch, CUDA) is also a plus * Experience with Rust is a bonus * Willingness to work in-person at ...

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$224K/yr

Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow * Experience in programming in Python * Experience in computationally intensive research on very large data sets Nice to have:

1 point system

GenAI Engineer

New York, NY · Remote

Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API ... Experience with TensorFlow, Keras, and PyTorch. Cloud Platforms: Familiar with Google Model Garden ...

Kargo

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Reduce training time and inference cost on multimodal/VLM workloads through Ray, PyTorch ... developer iteration speed, not just model accuracy Cross-Functional Translation * Explains ...

DeepMagic

Software Engineer

Manhattan, NY

Experience with embedded systems and machine learning programing * platforms including TensorFlow, PyTorch etc Additional Information All your information will be kept confidential according to EEO ...

Cross River

Senior AI/ML Engineer

Fort Lee, NJ · On-site

$160K - $200K/yr

Engineer and refine prompts to enhance AI performance and output quality * Deploy and scale AI ... Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face ...

DeepMagic

Software Engineer

Manhattan, NY · On-site

Experience with embedded systems and machine learning programing * platforms including TensorFlow, PyTorch etc Additional Information All your information will be kept confidential according to EEO ...

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All JobsPytorch Developer JobsPytorch Developer Jobs in Hackensack, NJ

Pytorch Developer information

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 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 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 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 are popular job titles related to Pytorch Developer jobs in Hackensack, NJ? For Pytorch Developer jobs in Hackensack, NJ, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Hackensack, NJ look for? The top searched job categories for Pytorch Developer jobs in Hackensack, NJ are:
What cities near Hackensack, NJ are hiring for Pytorch Developer jobs? Cities near Hackensack, NJ with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Hackensack, NJ as of July 2026, with employment types broken down into 81% Full Time, 8% Part Time, 1% Temporary, and 10% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Attentive

New York, NY • On-site

$244K - $320K/yr

Other

Posted 7 days ago

Job description

About the Role
Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

You will operate with a high degree of ownership, partner closely with Product and Engineering, and help raise the technical bar across our ML systems in a fast-paced, high-impact environment.

What You'll Accomplish

  • Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, personalization systems
  • Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration
  • Proactively safeguard model and system quality through testing, monitoring, validation, and alerting
  • Collaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutions
  • Continuously improve system reliability, performance, and engineering efficiency
  • Contribute to technical direction and best practices across the ML engineering team
  • Mentor and support other engineers through code reviews, design discussions, and knowledge sharing
  • Thrive in a high-impact, fast-paced, late-stage startup environment

Your Expertise

  • 6+ years of professional experience building production machine-learning software systems
  • Proven experience owning ML systems long enough to see the downstream impact of design decisions
  • Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost
  • Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib
  • Hands-on experience building automated pipelines for data processing, model training, validation, and deployment
  • Experience collaborating with cross-functional teams to deliver ML-powered features
  • Strong communication skills and a high sense of ownership

What We Use

  • Our backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS
  • Our infrastructure runs primarily in Kubernetes hosted in AWS's EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm
  • Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
  • 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 competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

  • The US base salary range for this full-time position is $244,000 - 320,000 annually + equity + benefits
  • Our salary ranges are determined by role, level and location

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