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Aquent
Campbell, CA, United States
Overview Placement Type: Temporary Salary (USD): $90.00/hr - $100.00/hr Start Date: 07.01.2024 You'll be part of our client's internal Machine Learning Platform group that enables ML teams to iterate their projects faster, from: data engineering, labeling, training, online and offline evaluation, experimentation and more. Bring your experti
Job Source: AquentAdobe Systems
San Jose
Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies inter
Job Source: Adobe SystemsMatch Group
Palo Alto, CA, United States
Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expan
Job Source: Match GroupBlue River Technology Inc
Santa Clara, CA, United States
We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers – farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on th
Job Source: Blue River Technology IncBlue River Technology
Santa Clara, CA, United States
We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers – farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on th
Job Source: Blue River TechnologyTinder
Palo Alto, CA, United States
Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is exp
Job Source: TinderThe Learning Experience #398
Palo Alto, CA, United States
The role at Tinder involves developing machine learning algorithms and systems for recommendation models utilizing deep learning techniques. Required skills include proficiency in deep learning frameworks such as TensorFlow and Keras, and programming languages like Python, Java, and Scala. Applicants need a PhD or MS in a quantitative field with at
Job Source: The Learning Experience #398Match Group
Palo Alto, CA, United States
Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we're inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expa
Job Source: Match GroupSunnyvale, CA, United States
Embedded in a worldwide network Mercedes-Benz Research & Development North America continuously strives to remain at the forefront of successful automotive research and development. MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation. In Farmington Hills, Michigan, the focus is on Powertrain and eDrive technology as well as in Long Beach, where the teams test durability of the latest driver assistant and telematic systems. The Digital Hub in Seattle focusses on developing a cloud architecture and building out the cloud platform for the next generation of connected car services. The Testing and Regulatory Affairs Division in Ann Arbor and the Advanced Vehicle Design in Carlsbad complete the competence center.
This role will work in domain of Autonomous Drive and Automated Driving and Advanced Driver Assistance Systems (AD/ADAS), design and develop algorithms and systems that achieves world understanding. This role is expected to have a deep understanding of modern neural network architectures and hands-on experience of large-scale model training and deployment.
Relocation assistance (domestic or international) is not provided for this position. Job Responsibilities: Design and implement algorithms for various multi-task perception and scene understanding problems
Optimize, evaluate, and deploy the perception solutions for our autonomous driving system
Evaluate state-of-the-art technology and research in the field
Be highly collaborative and work closely with research and engineering teams
Minimum Qualifications: MS degree in Computer Science or a similar discipline (mechanical, computer, computer science, mechatronics, electrical, etc.)
Deep understanding of computer vision, machine learning, and robotics
Hands-on experience with multi-sensor system and sensor fusion
Comfortable with deep learning frameworks, e.g., Pytorch, Tensorflow
Strong coding skills in C++ and Python
Valid Driver’s license
Preferred Qualifications: PhD degree in Computer Science or a similar discipline
2+ years of industrial experience in autonomous driving
Hands-on experience of training and deploying foundation models
Publications on top-tier AI/CV/Robotics conferences
The successful candidate’s starting pay will be determined based on a wide range of factors, including, but not limited to, job-related education, skills, and experience, geographic location, and market conditions. The current salary range for this position is as follows and may be modified in the future: $135,000 - $168,890.
Why should you apply? Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make a car even more intelligent - you make the new reality for cars. We have an open and flexible environment to allow you to push boundaries, join MBRDNA and design your future.
Benefits for Full-Time * Employees Include: • Medical, dental, and vision insurance for employees and their families • 401(k) with employer match • Up to 18 company-paid holidays • Paid time off (unlimited for salaried employees), sick time, and parental leave • Tuition assistance program • Wellness/Fitness reimbursement programs • Vehicle lease subsidy or company car (for eligible employees only) * Internships & Contractors excluded from Full-Time Employee benefits
MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce. MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system, MBRDNA employees, or send to any MBRDNA location. MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes.
Mercedes-Benz Research and Development North America, Inc. PRIVACY NOTICE FOR CALIFORNIA RESIDENTS https://mbrdna.com/california-employee-privacy-notice/
Email Alert for Sr. Machine Learning Engineer jobs in Sunnyvale, CA, United States
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