Research Assistant Deep Learning Jobs (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.

Benefits:

• Competitive total compensation package
• Medical, dental and vision on 1st day
• Company 401K match
• 20 PTO days
• Generous sick leave policy
• Casual day to day work environment
• Hybrid/flexible work environment (for some positions)

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.   

Salary Range Disclosure: The annual base salary range for this position is $130,000 to $160,000 not including any variable pay. The total compensation package may include performance-based incentives, discretionary bonuses, and other variable pay components. The salary range for this position reflects a reasonable estimate at the time of posting and may vary based on factors such as experience, skills, education, certifications, and location.