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Staff Machine Learning Engineer
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Staff AI Engineer Software
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Sonatus Sunnyvale, CA, United StatesSonatus is a well-funded, fast-paced, and fast-growing company whose technologies and software help automakers build dynamic software-defined vehicles. With two generations of solutions already on the road with a top global OEM, our vehicle and cloud software solutions are at the ...
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Staff Software Engineer, Parking
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Mercedes Benz R&D North America Sunnyvale, CA, United StatesEmbedded 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, Advan ...
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Staff Machine Learning Engineer
Found in: Jooble US O C2 - 5 days ago
Mercedes-Benz R&D North America Sunnyvale, CA, United StatesEmbedded 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, Advan ...
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Staff Engineer, Machine Learning Science
Found in: Jooble US O C2 - 2 days ago
DoorDash Sunnyvale, CA, United StatesAbout The Team · Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery We're looking for an experienced machine learning engineer to help us develop the AI/ML that powers DoorDash's growing Drive Business. About The Role We're l ...
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Staff Logic Design Engineer Synopsys
Found in: Jooble US O C2 - 6 days ago
Semiconductor Engineering Sunnyvale, CA, United StatesSynopsys Inc. is looking for a full-time candidate to work on the industry's leading and fastest emulation and prototyping system, HAPS, which offers the industry's largest design capacity, based on high-density 7 nano-meter FPGA technology. In HAPS emulation/prototyping flow, th ...
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Staff Logic Design Engineer Synopsys
Found in: Jooble US O C2 - 4 days ago
Semiconductor Engineering Sunnyvale, CA, United StatesSynopsys Inc. is looking for a full-time candidate to work on the industry's leading and fastest emulation and prototyping system, HAPS, which offers the industry's largest design capacity, based on high-density 7 nano-meter FPGA technology. In HAPS emulation/prototyping flow, th ...
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Package Engineering
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Mechanical Manufacturing Engineering Manager
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Google Sunnyvale, CA, United StatesMinimum qualifications: · Bachelor's degree in Electrical, Process, or Manufacturing Engineering, or equivalent practical experience. · 10 years of experience as a Manufacturing, Quality, Reliability, or Product Engineer. · 8 years of experience in people management. · 6 yea ...
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Solutions Engineering, Principal Engineer
Found in: Jooble US O C2 - 5 days ago
Synopsys Sunnyvale, CA, United StatesMachine Learning Solutions Engineer, Sr. Staff · 45900BR · USA - California - Mountain View/Sunnyvale, USA - North Carolina - Durham, USA - Texas - Austin · Job Description and Requirements · We are seeking a highly skilled and pioneering Generative AI Solutions Engineer to j ...
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Manager Mechanical Engineering 2
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Sr Director of Commodity Management
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Cepheid Sunnyvale, CA, United StatesAt Cepheid, we are passionate about improving health care through fast, accurate diagnostic testing. Our mission drives us, every moment of every day, as we develop scalable, groundbreaking solutions to solve the world's most complex health challenges. Our associates are involved ...
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Director, Product Marketing
Found in: Lensa US 4 C2 - 4 days ago
CrowdStrike Sunnyvale, CA, United States#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We're looking for ...
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Telecommute Head of Marketing
Found in: Jooble US O C2 - 4 days ago
CrowdStrike Sunnyvale, CA, United StatesAs a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We're looking for people with limitless passion, a relentless focus on in ...
Staff Engineer - Sunnyvale, CA, United States - DoorDash
Description
Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery We're looking for an experienced machine learning engineer to help us develop the AI/ML that powers DoorDash's growing Drive Business.
We're looking for a passionate Applied Machine Learning expert to join our team.In this role, you will utilize our robust data and machine learning infrastructure to implement top-notch AI/ML solutions to build a seamless consumer voice ordering experience, and improve delivery quality for merchants, dashers, and consumers for the Drive Business.
As a Staff Machine Learning Scientist, you'll be conceptualizing, designing, evaluating, and implementing new AI solutions to DoorDash, building and fine-tuning Large Language Models.
You will be expected to demonstrate a strong command of production-level machine learning, a passion for solving end-user problems, leadership skills to collaborate well with multi-disciplinary teams, and execution focused to prioritize effectively in a dynamic environment.
You will be reporting into the Machine Learning Engineering Manager. Develop production machine learning solutions to build a world-class voice ordering AI solution.Bring top-notch Large Language Model solutions to DoorDash
Partner with engineering and product leaders to help shape the product roadmap leveraging AI.
You can find out more on our ML blog here
7+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production.
~Deep expertise in large language models, deep learning, and fine-tuning.
~ Strong machine learning background in Python; You must be located near one of our engineering hubs which includes: or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
~ At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and InclusionWe're committed to growing and empowering a more inclusive community within our company, industry, and cities.
We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status.
stereotyping) from ever gaining a foothold in our office.We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply.
Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
Compensation in other geographies may vary.Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location.
For roles that are available to be filled remotely, base salary is localized according to employee work location.DoorDash cares about you and your overall well-being, and that's why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.
In addition to base salary, the compensation package for this role also includes opportunities for equity grants.