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Deep Learning Developer Jobs in Massachusetts (NOW HIRING)

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$161K - $246K/yr

ASUS Robotics & AI Center Senior Machine Learning Engineer The ASUS Robotics & AI Center is seeking ... We are looking for a seasoned engineer who brings deep technical expertise, sound engineering ...

Research, design, and implement efficient deep learning models forindustrialmachine vision tasks,with a focus on algorithms with low power, low latency and data efficiency requirements * Collaborate ...

Apply a broad toolkit of ML techniques (deep learning, representation learning, active learning, generative AI) to solve complex, ambiguous problems. Unblock yourself and your team when facing ...

Research, design, and implement efficient deep learning models for industrial machine vision tasks ... Collaborate with cross functional engineers to transition experimental AI models into production ...

Build the next-generation information extraction product powered by state-of-the-art AI and Deep Learning techniques. * Work with an international top-notch engineering team with full commitment on ...

Apply a broad toolkit of ML techniques (deep learning, representation learning, active learning ... Coach Senior and junior engineers, lead architectural reviews, and elevate Motional's engineering ...

Apply a broad toolkit of ML techniques (deep learning, representation learning, active learning ... Coach Senior and junior engineers, lead architectural reviews, and elevate Motional's engineering ...

Principal Machine Learning Engineer

Boston, MA ยท On-site +1

$189K - $312K/yr

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with ...

Machine Learning Engineer

Cambridge, MA ยท On-site

$125K - $150K/yr

With a combination of enterprise expertise and deep research in the field of AI, Ikigai Labs helps ... learning and planning, is our Ikigai, our purpose in the world of AI. As an AI/ML Engineer at ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$161K - $246K/yr

We are looking for a seasoned engineer who brings deep technical expertise, sound engineering ... Lead the design and development of machine learning systems for computer vision and perception ...

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Deep Learning Developer information

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

To thrive as a Deep Learning Developer, you need a strong background in computer science, mathematics, and proficiency in programming languages like Python, often supported by a degree in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms or GPU acceleration, are commonly required technical skills. Analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies are crucial for designing, training, and deploying advanced neural network models that address complex real-world problems.

What are Deep Learning Developers?

Deep Learning Developers are specialized software engineers or data scientists who design, build, and implement artificial intelligence systems using deep learning techniques. They work with neural networks, large datasets, and various frameworks like TensorFlow or PyTorch to develop models for tasks such as image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, optimization, and deployment to solve complex problems that require advanced pattern recognition. Deep Learning Developers often collaborate with AI researchers, data engineers, and product teams to integrate intelligent features into applications.

Which 3 jobs will survive AI?

Deep Learning Developers are likely to continue to be in demand as AI advances because they design and improve AI models, requiring specialized skills in programming, mathematics, and data analysis. Other resilient roles include AI ethicists, who address ethical considerations, and AI system trainers, who curate and annotate data to improve AI performance. These jobs involve complex problem-solving and human oversight that are less easily automated.

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

AspectDeep Learning DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with neural networksBachelor's or Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural networksData-driven companies, software firms, industries applying machine learning
Industry UsagePrimarily in AI research, neural network development, deep learning projectsBroader application including predictive modeling, data analysis, and ML systems

Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.

What are some common challenges Deep Learning Developers face when deploying models to production environments?

Deep Learning Developers often encounter challenges such as optimizing model performance for real-time inference, managing resource constraints (like GPU/CPU availability), and ensuring model reproducibility across different environments. Additionally, integrating deep learning models into existing software systems and maintaining them over time can be complex, especially as data and requirements evolve. Collaborating closely with DevOps, data engineers, and QA teams is essential to address these challenges and ensure smooth deployment and ongoing reliability.
What cities in Massachusetts are hiring for Deep Learning Developer jobs? Cities in Massachusetts with the most Deep Learning Developer job openings:
Infographic showing various Deep Learning Developer job openings in Massachusetts as of June 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 90% Full Time, 2% Part Time, 2% Temporary, and 4% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution.

Senior Machine Learning Engineer

ASUS

Boston, MA โ€ข On-site, Remote

$161K - $246K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

ASUS Robotics & AI Center Senior Machine Learning Engineer

The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global research and development team. This role centers on leading the design and delivery of advanced computer vision and perception systems for our next-generation autonomous platforms.

We are looking for a seasoned engineer who brings deep technical expertise, sound engineering judgment, and a proven track record of delivering production ML systems in complex, real-world environments. The ideal candidate is a mature, self-directed contributor who can drive technical decisions, mentor others, and operate effectively across a collaborative, multidisciplinary team.

Essential Duties and Responsibilities:

  • Lead the design and development of machine learning systems for computer vision and perception tasks.
  • Optimize models for real-time performance on embedded and edge computing platforms.
  • Build and maintain robust perception pipelines that integrate data from cameras and other sensors.
  • Evaluate and implement state-of-the-art techniques in deep learning, object detection, and visual tracking.
  • Drive technical decisions and provide guidance on architecture, tooling, and best practices across the team.
  • Design and execute experiments, including simulation and real-world field testing, to validate model performance.
  • Maintain and improve datasets, pipelines, and tools to support efficient model training and deployment.
  • Collaborate with cross-functional teams, including robotics, systems, and software engineers, to deliver production-ready solutions.

Knowledge and Skills:

  • Proficiency in Python and deep learning frameworks such as PyTorch and/or JAX. Hands-on experience training models such as VLMs, ViTs, and/or CNNs.
  • Familiarity with classical computer vision techniques (e.g., OpenCV).
  • Exceptionally strong problem-solving skills and the ability to lead technical work in a fast-paced, multidisciplinary environment.
  • Understanding of software development best practices, including coding standards, code reviews, source control management, and test automation.
  • Experience with robotics, autonomous systems, or real-time perception applications is strongly preferred.
  • Knowledge of MLOps practices (e.g., model versioning, CI/CD for ML) is a plus.
  • Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required
  • Excellent written and verbal communication skills in English

Required Qualifications:

  • Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field.

Work Experience:

  • 8+ years of industry experience developing and deploying machine learning models for computer vision or perception applications.

Preferred Qualifications:

  • Experience with camera geometry, 3D reconstruction, or GPU programming (e.g., CUDA, Triton) is a plus.

Working Conditions:

  • Office Only: Works in an office environment in Boston, MA
  • 3 days in office/2 days work from home
  • Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time
  • Travel to Taipei occasionally for team collaboration and project needs
  • Domestic travel approx. 5%. International travel approx. 5%

About the ASUS Robotics & AI Center

The ASUS Robotics and AI Center is a world-class research and development laboratory that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence.

More About ASUS

ASUS is a global technology leader that provides the world's most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house R&D experts, the company is world-renowned for continuously reimagining today's technologies. Consistently ranked as one of Fortune's World's Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us.

$161,000 โ€“ $246,000 annually is the estimated pay range for this role working in Boston, MA. The final amount will be determined based on qualifications & experience of the candidate relative to the role. Our comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&D insurance, Paid Time Off, EAP, & 401(k). ASUS is an equal employment opportunity employer. The Company makes employment decisions without regard to race, color, religion, sex, gender, pregnancy/breastfeeding, medical conditions related to pregnancy or childbirth, sexual orientation, age, national origin or ancestry, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, as well as any other characteristic protected by law, regulation or local ordinance, and strives to comply with all applicable laws on the subject. These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment, pay and other forms of compensation, training and other terms and conditions of employment.