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Pytorch Jobs in Connecticut (NOW HIRING)

Programming experience in PyTorch and/or TensorFlow. Physical Demands: * This is a full-time, on-site role based out of Hyperfine's office in Guilford, CT. * Available nights, weekends, and holidays ...

Programming experience in PyTorch and/or TensorFlow. Physical Demands: * This is a full-time, on-site role based out of Hyperfine's office in Guilford, CT. * Available nights, weekends, and holidays ...

Hands-on experience with ML frameworks such as PyTorch or TensorFlow. * Familiarity with cloud environments and infrastructure (preferably AWS). * Strong understanding of data pipeline design, real ...

Senior AI Scientist

Guilford, CT · On-site

$156K - $179K/yr

Programming experience in PyTorch and/or TensorFlow. Physical Demands: * This is a full-time, on-site role based out of Hyperfine's office in Guilford, CT. * Available nights, weekends, and holidays ...

Hands-on experience with ML frameworks such as PyTorch or TensorFlow. * Familiarity with cloud environments and infrastructure (preferably AWS). * Strong understanding of data pipeline design, real ...

TensorFlow, PyTorch, LangChain • Expertise In Generative AI, Including RAG (Retrieval-Augmented Generation) • AI Agents / Agentic frameworks • Prompt Engineering • Proficiency with Microsoft ...

Applied AI Data Scientist

Hartford, CT · On-site

$90K - $135K/yr

Build and optimize ML, deep learning, and GenAI models using modern frameworks (PyTorch, TensorFlow, scikitlearn). * Design and deliver RAG pipelines , hybrid retrieval systems, and vectorbased ...

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Pytorch information

See Connecticut salary details

$80.8K

$144.8K

$207.7K

How much do pytorch jobs pay per year?

As of Jun 14, 2026, the average yearly pay for pytorch in Connecticut is $144,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,371.00 and $177,135.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Pytorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What are the most commonly searched types of Pytorch jobs in Connecticut? The most popular types of Pytorch jobs in Connecticut are:
What are popular job titles related to Pytorch jobs in Connecticut? For Pytorch jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Pytorch jobs in Connecticut look for? The top searched job categories for Pytorch jobs in Connecticut are:
Senior AI Scientist

$156K - $179K/yr

Other

Posted 18 days ago


Job description

About Us

Hyperfine, Inc. (Nasdaq: HYPR) is the groundbreaking health technology company that has redefined brain imaging with the Swoop system-the first FDA-cleared, portable, ultra-low-field, magnetic resonance brain imaging system capable of providing imaging at multiple points of care in a healthcare facility. Our mission is to revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging. Learn More


About The Role

Job Title: Senior AI Scientist

Location: Guilford, Connecticut

The Senior AI Scientist is a talented and experienced Scientist with applied experience in Machine Learning who will innovate and expand our product capabilities. The goal of this role is to develop techniques that solve a wide range of challenging scientific and clinical problems in MRI aimed at improving patient outcomes. You will introduce new algorithms and machine learning models that solve difficult imaging tasks, make our models more accurate and robust, and introduce entirely new approaches.

Key Responsibilities

  • Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products. 
  • Rapidly prototype deep learning models including, but not limited to, classification, detection, segmentation, reconstruction, super-resolution, and denoising; iterate on training models with fast turnaround time. 
  • Design and develop new machine learning algorithms while keeping abreast of the latest advances across various labs and conferences. 
  • Maintain and continuously improve our existing DL models, with new training data and modeling techniques. 
  • Support software releases, and regulatory documentation. 

Knowledge, Skill & Abilities:

  • Ability to design new algorithms for practical problems on real-world datasets. 
  • Ability to quickly learn new concepts and apply to research and development process in an iterative and incremental fashion. 
  • Ability to work efficiently and clear roadblocks in timely manner. 
  • Adaptability to fast-changing work environment. 
  • Strong communication skills and proactiveness for working in a cross-functional collaborative environment. 

Required Education & Experience:

  • PhD in a relevant field, or MS (or equivalent) with 2+ years of applied experience.
  • Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning.
  • Experience working with Medical Images and Magnetic Resonance Images.
  • Software engineering experience in developing and maintaining systems using Python. 
  • Programming experience in PyTorch and/or TensorFlow.

Physical Demands:

  • This is a full-time, on-site role based out of Hyperfine's office in Guilford, CT.
  • Available nights, weekends, and holidays as business needs require.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship now or in the future of any employment Visa.

The annual base salary for this position is between $156,000 - $179,000. This position is also eligible for to participate in Hyperfine's corporate bonus and equity plans. Individual compensation packages are based on various factors unique to each candidate including skill set, relevant experience, qualifications, location, position level, and other job-related reasons.


Agency Resumes: We do not accept resumes from recruitment agencies without a prior agreement in place. Any unsolicited resumes submitted by agencies will be considered the property of Hyperfine and will not be subject to any fees or charges if the candidate is hired.