Senior Level AI​/Machine Learning Engineer - Optical Solutions

Molex is a global leader in the optical industry, renowned for delivering high-performance, field‑proven wavelength management solutions. With expertise spanning components, modules, and integrated line‑cards, we focus on innovation, miniaturization, and manufacturing automation to support high‑density, high‑bandwidth, flexible optical networks across telecom, datacom, hyperscale data centers, artificial intelligence, and supercomputing.

Based in Fremont, CA, you’ll join a team serving global telecom and datacom clients, developing next‑generation optical modules for AI and 5G networks. We’re expanding our capabilities and seeking a Senior Level AI/Machine Learning Engineer to join our Optical Device R&D team.

• Design and implement AI and machine learning models for optical image processing, pattern recognition, anomaly detection, and system performance monitoring.
• Develop and apply machine learning and data analysis methods to optical system data, including image, signal, and time‑series datasets.
• Analyze experimental, manufacturing, and system‑level data to accelerate root‑cause analysis and failure‑mode understanding.
• Support calibration, test optimization, and predictive maintenance initiatives using data‑driven approaches.
• Work closely with cross‑functional teams to integrate AI solutions into the overall product workflow.
• Document algorithms, data processing workflows, and experimental results following internal development and quality standards.
• Lead AI development projects and provide technical guidance to project team members.

• Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related technical discipline with a focus on AI and machine learning.
• At least 5 years of industry experience in AI and machine learning development.
• Experience building and deploying machine learning, statistical modeling, and data analysis into production workflows.
• Expertise in algorithm development, prototyping, and analysis.
• Proficiency in data analysis and machine learning frameworks (e.g., PyTorch, Tensor Flow, scikit‑learn, etc.).
• High proficiency in programming languages (e.g., Python, Java, etc.).
• Experience with image processing, signal processing, or time‑series analysis.
• Experience working with large, real‑world datasets and experimental data.
• Ability to work effectively in a cross‑functional engineering environment.
• Strong leadership and mentoring abilities.
• Strong communication and collaboration skills.
• Excellent problem‑solving and analytical skills.

• Ph.D. degree in Computer Science, Data Science, or a related field.
• Familiarity with optical systems or hardware‑centric products.
• Experience deploying ML algorithms in production, embedded, or system‑level environments.
• Experience collaborating with manufacturing or test teams on data‑driven process optimization.
• Bilingual with Mandarin.

Compensation:
For this role, we anticipate paying $180,000–$250,000 per year, with eligibility for variable pay, issued as a monetary bonus or in another form.

Our benefits plan includes medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria are set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region.

Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify.