Senior Engineer, Machine Learning

Please Note:

To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.

Advancing the World’s Technology Together

Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

Our team is at the forefront of applying computational and machine learning methods to real-world research on organic optoelectronic materials. As part of a dynamic group of researchers and engineers, you’ll collaborate on innovative projects that transform computational and AI research into insights and breakthrough discoveries of new material. As a Sr. Engineer in the Samsung Display America Lab, you'll immerse yourself in an environment that values creativity, collaboration, and cutting‑edge experimentation—working alongside experts who are as passionate about technology and science as you are.

The ideal candidate should have a Ph.D. in physics, chemistry, materials science, or a related field, with expertise in computational materials science and ML algorithm development. The candidate should have a strong background in code development and a deep understanding of electronic structures and the morphology of organic materials.

Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

• Collaborate with multiple interdisciplinary teams of researchers and engineers to develop next‑generation materials related to next‑generation display technology.
• Develop and refine simulation platforms by integrating state‑of‑the‑art tools and methodologies, ensuring robustness and scalability of research outputs.
• Integrate advanced data analytics frameworks to manage, preprocess, and interpret experimental data, enabling actionable insights for material innovation.
• Engage with academic communities toward paper publications.

• Ph.D. in Materials Science, Physics, Chemistry, or a relevant field, or Master’s in Science in a field with 3+ years of professional experiences or Bachelor’s degree in a field with 5+ years of professional experience.
• Experience in research on optoelectronic properties and reactions of organic semiconducting materials.
• Experience in modeling and/or simulation of the surface and/or interface reactions.
• Expertise with the atomistic level of computational simulations, including ab‑initio Quantum Chemistry, first‑principles Density Functional Theory, Classical Molecular Dynamics, etc.
• Experience in developing AI/ML algorithm for materials research.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones.

In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.

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