Research Engineer (Multiple Positions) (REF250231N)
Bosch
384 Santa Trinita Ave, Sunnyvale, CA 94085, USA
Posted on Bosch website on 22 Apr 2025 (2 days ago)
Job Description:
Develop machine learning solutions for Bosch AI applications. Work on solutions to derive useful information and knowledge from textual data, and enable natural, intuitive, and intelligent personal assistance. Develop technologies and prototype systems in the fields of natural language processing and understanding, knowledge representation and reasoning, question answering, information retrieval, dialogue management, knowledge-based assistance, and speech processing. Collaborate with an international team of experts to transfer and apply the Bosch in-house machine learning innovations and 3rd-party solutions to Bosch AI products and services. Work with Bosch internal business units to integrate machine learning solutions into Bosch AI platform with high quality implementation for scaling-up. Telecommuting permitted. Up to 5% of domestic and international travel required.
Educational Requirements:
Master’s degree or foreign degree equivalent in Computer Science, Computer Engineering, or related field.
Experience Requirements:
Five (5) years of experience in job offered, Machine Learning Engineer, Data Scientist, or in a related occupation.
Special Skills Requirements:
Academic training or work experience in the following:
1. DevOps experience with continuous integration
2. Docker
3. AWS
4. Python
5. Machine Learning Operations (MLOps)
6. Natural Language Processing applications (PyTorch and Scikit-Learn)
Annual Salary: $211,536-$217,000/yr.
Applicants interested in the position should apply using the option below.
[Research Engineer/ REF250231N]
#LI-DNI
Equal Opportunity Employer, including disability/veterans
Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.