Senior Research Scientist, Machine Learning

3M HEALTHCARE; Boston (MA); On-site; USD 170,445 - 216,000; Full time

Benefits offered by this job

Medical, vision, and dental coverage

401(k)

Paid vacation

Flexible telecommute option

Discretionary performance-based bonus

Job summary

Dormont Manufacturing Co is looking for a Senior Research Scientist, specializing in Machine Learning, to join their team in Boston, Massachusetts. This full-time role involves designing and optimizing ML algorithms across various applications, including energy and healthcare.

The ideal candidate should hold a Master’s degree and have experience in machine learning research. Benefits include a performance-based bonus, medical coverage, 401(k), and a flexible telecommute option.

Qualifications

• Master’s degree in Computer and Information Technology, Computer Science, Computer Engineering, Electrical Engineering, or closely related field.
• Two years of experience in ML research and development in relevant fields.

Responsibilities

• Design and optimize ML algorithms for energy, healthcare, and robotics applications.
• Develop software simulations and analyze algorithm performance.
• Prototype systems and algorithms to validate performance in real-world scenarios.

Skills

Machine learning algorithm development

Python

C/C++

Deep learning

Neural networks

TensorFlow

Keras

PyTorch

Scientific research

Education

Master’s degree in a related field

Job description

Job Title: Senior Research Scientist, Machine Learning

Location: Boston, Massachusetts

Job Type: Full Time

Salary: $170,445 - $216,000 per year

Partial telecommute benefit (up to 2 days/week work from home).

Responsibilities

Design, implement, and optimize novel Machine Learning ("ML") algorithms specialized for applications such as energy, healthcare, and robotics. Develop software simulations and analyze the performance of algorithms across various simulated and real-world datasets and hardware-constrained environments. Help with prototyping systems, algorithms, and methods to prove and validate their performance and practicality. Work with other researchers and engineers, inside and outside the Algorithmic Solutions Group, to connect our work with our mission statement. Stay abreast of state-of-the-art algorithms and research advances beyond the state of the art in areas relevant to Analog Devices.

Requirements

• Must have a Master’s degree in Computer and Information Technology, Computer Science, Computer Engg, Electrical Engg, or closely related technical discipline (willing to accept foreign education equivalent) and two (2) years of experience in the job proffered or related occupation conducting machine learning (ML) research and development in Energy, Security, Communication, or Healthcare.
• Demonstrated Expertise in machine learning ("ML") algorithm development and deployment of end-to-end ML pipelines using at least one of the following frameworks: Tensorflow, Keras, Pytorch, Caffe, or Jax.
• DE developing and applying neural networks, deep learning, transformers, and Large Language ML models.
• DE with algorithm prototyping, simulation, and high-quality software engineering using Python and C/C++.

Benefits

• Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
• This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
• This position includes medical, vision and dental coverage, 401(k), paid vacation, holidays, and sick time, and other benefits.

EEO Statement

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.