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 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 machine learning to real-world organic material research. As part of a dynamic group of researchers and engineers, you'll collaborate on innovative projects that transform data into insights and enable breakthrough discoveries of new materials. As a Senior Machine Learning Engineer in the Display 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. Location : Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy. What You'll Do Collaborate with a multidisciplinary team of researchers and engineers to drive advancements in machine learning applications for organic material research. Participate in cutting-edge research by designing, developing, and validating innovative ML models tailored to molecule property prediction and related tasks. 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. What You Bring BS in Computer Science or equivalent with a minimum of 10+ years, or MS with 8+ years, or PhD with 5+ years in Computer Science, Computational Chemistry, or Material Science. Experience with DFT, MD simulation tools such as ORCA, Q-Chem, GROMACS. Experience in calculating optoelectronic properties of OLED molecules is a plus. Experience in deep learning, including GNNs and reinforcement learning is a plus. Experience in adapting standard machine learning methods to distributed and GPU clusters. A willingness to dive deep, experiment rapidly, and deliver results. #LI-VL1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on various factors—including the role's function, location, and the candidate's knowledge, skills, experience, education, and training. We also offer incentive opportunities based on performance. This is in addition to our diverse benefits package centered around employee wellbeing, including Medical / Dental / Vision / 401k, and an inclusive rewards plan to support your whole self. An investment in your future is an investment in ours. Give Back : Charitable giving match and community involvement opportunities. Enjoy Time Away : 4+ weeks of paid time off, holidays, and sick leave. Care for Family : Support for fertility, adoption, medical travel, and errand services. Prioritize Emotional Wellness : On-demand apps and paid therapy sessions. Stay Fit : Onsite café, gym, and virtual classes. Embrace Flexibility : Flexible work environment to help balance your life. Base Pay Range : $157,000—$243,000 USD Equal Opportunity Employment Policy Samsung Semiconductor is committed to an inclusive environment where all individuals feel valued and empowered, regardless of race, religion, gender, age, disability, or other protected status. We prioritize talent and qualities such as humility, kindness, and dedication. We provide accommodations for candidates with disabilities or other needs throughout the recruiting process. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies with a current agreement may submit resumes for our openings. Covid-19 Policy We encourage vaccination and may require it depending on job functions. Visitors and employees may need to complete health questionnaires and COVID tests, subject to change based on public health guidelines. Applicant Privacy Policy https : / / semiconductor.samsung.com / us / careers / privacy #J-18808-Ljbffr
Staff Machine Learning Engineer • San Jose, CA, United States