Deep Learning Jobs in Massachusetts (NOW HIRING)

Team up with the most innovative company where Imagination becomes reality!  E Ink is the originator, pioneer, and commercial leader in ePaper technology. The Billerica Research & Development team is thriving and growing as we help develop products that are changing how people access information every day.  We are seeking qualified candidates who are self-driven, looking to advance their career and become a high-impact player on a team.

Based on technology from MIT’s Media Lab, E Ink has transformed and defined the eReader market. Its Electrophoretic Display products make it the worldwide leader for ePaper. The Company’s corporate philosophy aims to deliver revolutionary products, user experiences and environmental benefits through advanced technology development.

Our diversity of people, backgrounds, experiences, thoughts and perspectives is fostered to create an inclusive work environment.

Our culture is built on value commitments to innovation, quality, results, integrity, community, people, and collaboration that fosters a strong employee engagement, teamwork, safety and wellness.

We offer a competitive/generous benefits package that fits the needs of our employees. It includes health, dental, vision, wellness programs, employee discounts, 401k matches, ongoing development, advancement opportunities and more. This position is also eligible for our bonus program. (see E Ink │ Our Company)

The Deep Learning Center at E Ink is seeking a Deep Learning Researcher to develop and improve product development and research of electrophoretic display technology. Your role will be to use and develop cutting edge deep learning models to guide materials discovery and display design. This work will take place in a rapidly growing team developing new processes to advance materials discovery and improve mass produced product performance. As a key team member, you will be expected to take on challenging exploratory projects that lead to product improvement and new products in a culture of open review and critical discussion. E Ink maintains a lean team where each member has strong visibility and responsibility to meet company goals.

Responsibilities:

• Develop and evaluate novel deep learning models for complex physical and chemical systems in advanced materials and display technologies.
• Formulate and test theoretically grounded hypotheses about model behavior and representation.
• Build pipelines for experimental data processing, training, and evaluation.
• Lead inverse design and model-based discovery efforts using Bayesian optimization, diffusion models, or related methods.
• Collaborate with scientists to integrate domain knowledge into deep learning architectures and interpret results.
• Create tools that make models and predictions transparent and usable.
• Promote data quality, reproducibility, and experimental lineage across projects.

Qualifications:

• Ph.D. (or exceptional M.S. + 4 years’ experience) in Physics, Applied Math, Computer Science, Electrical Engineering, or related field.
• Demonstrated research experience in deep learning with a track record of innovation.
• Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow, JAX).
• Strong mathematical and problem-solving ability.
• Effective collaborator with excellent communication skills and scientific curiosity.

Preferences:

• Experience designing custom architectures, meta-learning systems, or model-based optimization.
• Knowledge of model efficiency techniques (pruning, quantization, distillation).
• Familiarity with inverse design, Bayesian optimization, or generative models.
• Knowledge of colloid science, soft-matter physics, or chemical modeling.

COMPENSATION DISCLOSURE  

At E Ink, we believe in rewarding employees with competitive total compensation through a combination of base salary and performance-based bonuses, with a larger portion of total compensation delivered through our annual bonus program than is typical at many companies. To provide applicants with a more complete picture of our compensation philosophy, we are disclosing both the estimated annual total compensation and the annual base salary range for this position. For this position, the estimated annual total compensation range is $205,000 to $275,000, based on the Company's most recent annual bonus payout. The annual base salary range for this position is $140,000 to $170,000.   

The annual base salary range reflects the Company's good-faith estimate of the base salary it reasonably expects to pay for this position at the time of posting. Actual starting base salary is determined based on job-related factors, including experience, skills, education, certifications, and other qualifications. Annual bonus payments are based on Company performance, are not guaranteed, and may be higher or lower than the estimate reflected above.  

BENEFITS:

In addition to a competitive base salary, E Ink offers a comprehensive benefits package that includes medical, dental, and vision insurance; life and disability coverage; paid time off; and a 401(k) retirement savings plan. Additionally, the position is eligible for our bonus program.  

E ink is committed to a diverse and inclusive workforce.  E Ink is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, gender, identity, sexual orientation, veteran’s status, disability, age, or on any basis prohibited by federal and state law.