Staff 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 machine learning to real-world organic material research. As part of a dynamic group of researchers, engineers, you’ll collaborate on innovative projects that transform data into insights and breakthrough discoveries of new material. 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: Hybrid, working onsite at our San Jose office/headquarters 3-5 days per week., with the flexibility to work remotely the remainder of your time

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 generation.
• 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 Computer Science or equivalent with a minimum of 10+ years or a MS in Computer Science with 8+ years or PhD 5+ years Computer Science, Computational Chemistry, Material Science preferred.
• Experience in 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. Specific machine learning skills in GNN, reinforcement learning is a plus.
• Experience in adapting standard machine learning methods (e.g. distributed clusters, and GPU clusters)
• A willingness to dive deep, experiment rapidly and get things done

#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 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.

Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and an errand service.
Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.

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