Billerica, MA · Hybrid
$130K - $160K/yr
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 ...
Billerica, MA · Hybrid
$130K - $160K/yr
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 ...
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Atlanta, GA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Atlanta, GA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Atlanta, GA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Atlanta, GA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in autonomous platforms ...
Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in autonomous platforms ...
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
... Bayesian optimization, probabilistic modeling, or statistical methods. * Hands-on experience with Python, PyTorch, Torch Geometric, PyTorch Lightning, RDKit, and BoTorch . * Public portfolio of ...
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... Bayesian optimization, probabilistic modeling, or statistical methods. * Hands-on experience with Python, PyTorch, Torch Geometric, PyTorch Lightning, RDKit, and BoTorch . * Public portfolio of ...
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Lemont, IL · On-site
$72K - $121K/yr
Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in autonomous platforms ...
Lemont, IL · On-site
$72K - $121K/yr
Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in autonomous platforms ...
... and Bayesian Optimization to solve pricing and optimization challenges AI Agents for Pricing Build AIdriven pricing agents that incorporate consumer behaviour demand elasticity and competitive ...
... and Bayesian Optimization to solve pricing and optimization challenges AI Agents for Pricing Build AIdriven pricing agents that incorporate consumer behaviour demand elasticity and competitive ...
Familiarity with Bayesian optimization, active learning, or generative models * Experience in reinforcement learning or agent-based approaches to scientific reasoning * Open-source contributions or ...
Familiarity with Bayesian optimization, active learning, or generative models * Experience in reinforcement learning or agent-based approaches to scientific reasoning * Open-source contributions or ...
Atlanta, GA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Atlanta, GA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Atlanta, GA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Atlanta, GA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
New York, NY · On-site
$201K - $273K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
New York, NY · On-site
$201K - $273K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
$201K - $273K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
$201K - $273K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Mountain View, CA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Mountain View, CA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
$205K - $278K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
$205K - $278K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
| Aspect | Bayesian Optimization | Data Scientist |
|---|---|---|
| Primary Focus | Optimizing complex functions and hyperparameters | Analyzing data, building models, deriving insights |
| Required Skills | Statistics, probability, machine learning, programming | Statistics, programming, data analysis, visualization |
| Work Environment | Research labs, AI/ML teams, R&D departments | Business, tech companies, consulting firms |
| Common Tools | Python, R, Bayesian libraries (e.g., GPy, scikit-optimize) | Python, R, SQL, visualization tools |
Bayesian Optimization is a specialized technique used within machine learning and AI to efficiently tune hyperparameters or optimize functions. Data Scientists often utilize Bayesian Optimization as part of their toolkit but have broader responsibilities, including data analysis, modeling, and reporting. While Bayesian Optimization focuses on optimization tasks, Data Scientists work on understanding and interpreting data to inform business decisions.
$130K - $160K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 7 days ago
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:
Qualifications:
Preferences:
Benefits:
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.
Sourced by ZipRecruiter
Electrical equipment, appliance, and component manufacturing
51 - 200 Employees
Billerica, MA, US
1997
