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Deep Learning Engineer Jobs (NOW HIRING)

SumerSports LLC

Senior Deep Learning Engineer

$155K - $185K/yr

  • Medical

  • Retirement

Position Summary As a Senior Deep Learning Engineer on the Football Modeling side, you'll work closely with our research team on player tracking data, evaluation, and forecasting models. You'll be a ...

New

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Overview We are seeking a Staff Deep Learning Research Engineer to design, build, and train novel neural network architectures that solve hard problems across Quidient's GSR platform. This is not an ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Train, tune, and optimize deep learning models using our large-scale compute clusters and truck ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Train, tune, and optimize deep learning models using our large-scale compute clusters and truck ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

NBCUniversal

Staff Deep Learning Engineer

Manhattan, NY

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision ...

NBCUniversal

Staff Deep Learning Engineer

Manhattan, NY

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision ...

NBCUniversal

Staff Deep Learning Engineer

Manhattan, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision ...

Seneca

Senior Deep Learning Engineer (Perception)

Sausalito, CA · On-site

$160K - $220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

We are seeking an exceptional and highly motivated Deep Learning Engineer to join our fast-moving and innovative team. In this role, you will leverage your expertise to research, develop, and deploy ...

Skydio, Inc

Autonomy Engineer - Deep Learning

San Mateo, CA · On-site

$170K - $277K/yr

  • Medical

  • Retirement

  • PTO

As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to our products for solving challenging problems such as optical flow estimation, stereo depth ...

New York Times

Machine Learning Engineer

Manhattan, NY · On-site

$170.17 - $255.26/hr

Develop machine learning & deep learning models using Python, including data preprocessing, feature engineering, model training, and evaluation for large-scale datasets * Use SQL for large-scale data ...

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Deep Learning Engineer information

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How much do deep learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for deep learning engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is a deep learning engineer?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What skills and qualifications does a deep learning engineer need?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What does a deep learning engineer do?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

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Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Senior Deep Learning Engineer

SumerSports LLC

Remote

$155K - $185K/yr

Full-time

Medical, Retirement

Posted 3 days ago

New

Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
Position Summary
As a Senior Deep Learning Engineer on the Football Modeling side, you'll work closely with our research team on player tracking data, evaluation, and forecasting models. You'll be a senior voice in the room on modeling decisions. We believe good research is less about having the perfect idea and more about building a rigorous system for testing ideas. Ideas are plentiful. The real work is designing experiments, learning quickly, and following the evidence.
Responsibilities
  • Contribute to entire modeling lifecycle including training, testing, and evaluation.
  • Take one or two flagship modeling threads and drive them from problem definition through evaluation to production.
  • Be a senior peer to the existing research team. Push back, share judgment, build consensus on what to try next.
  • Work with football subject-matter experts on feature design and label discipline.
  • Mentor mid-level engineers.
  • Build out the experimentation harness so the team can run more ideas faster.

Qualifications
  • Track record shipping deep-learning models at scale. Transformer, sequence, or multimodal architectures.
  • Strong fluency with PyTorch and PyTorch Lightning, distributed training, attention variants, and training-dynamics debugging.
  • Real football expertise. Specific opinions about catch probability, EPA limitations, route trees, and coverage.
  • Senior IC drive. You take an ambiguous problem and come back with a scoped path.
  • Deep evaluation instincts. You know how to actually tell if a model works.
  • AI-native. Builds skills, loops, and tooling to accelerate research throughput.
  • Stays current with research. Papers, releases, new techniques.
  • Comfortable being a senior voice in a room of senior voices.
  • Clear communication with non-DL audiences

Benefits
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

SumerSports is committed to fair and equitable compensation practices.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans.
The pay range for this role is:
155,000 - 185,000 USD per year (Remote)

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