20 Best machine learning engineer jobs in Cupertino, CA (Hiring Now!)

Advanced Senior AI Research Scientist
Accenture —Mountain View, CA
Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised…
Senior ASIC Timing Engineer
NVIDIA —Santa Clara, CA
Familiarity with logic synthesis, equivalence checking, DFT, Floorplanning, Place & Route, and ECO implementation methodology and tools.
$128,000 - $304,750 a year
Software Engineer Apprentice
Multiverse (Apprenticeships) —Sunnyvale, CA
As a Multiverse apprentice you'll have access to awesome social events, extra training from great companies and your own personal coach who will support and…
$70,000 a year
4d
Senior GPU Supercomputer Scheduler Engineer
NVIDIA —Santa Clara, CA
This role offers you an excellent opportunity to deliver production grade solutions, get hands on with ground-breaking technology, and work closely with…
$148,000 - $419,750 a year
Optical Imaging Scientist / Engineer
ASML —San Jose, CA
ASML/Brion brings together the most creative minds in science and technology to develop computational lithography software to enable customers on the best…
Estimated: $127K - $161K a year
Machine Learning Engineer
Zoom —San Jose, CA
Research, experiment, and evaluate statistical and machine learning techniques to develop ML models with instincts that satisfy our requirements and security…
$150,000 a year
12h
Machine Learning Engineer (Hybrid)
Anetac, Inc. —Los Altos, CA
As our Senior ML Engineer, you will conceive, code, and deploy data science models at scale using the latest industry tools. Reports To: Head of Engineering.
Estimated: $137K - $173K a year
Quick Apply
11d
Machine Learning Quality Engineer
ServiceNow —Santa Clara, CA
Ability to use tools (such as IDE, debugger, build tools, source control, ServiceNow instances, profilers, system administration/Unix tools) to assist with…
$121,600 - $188,400 a year
Quick Apply
Machine Learning Engineer
Amiri Recruiting —Santa Clara, CA
Experience training and iterating on large production neural networks in any domain (self-driving, language models, etc.) is a strong plus.
$140,000 - $220,000 a year
Quick Apply
AIML - Machine Learning Engineer, Siri Information Intelligence
Apple —Cupertino, CA
You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and…
$170,700 - $300,200 a year
16h
AIML - Machine Learning Researcher, MLR
Apple —Cupertino, CA
PhD, or equivalent practical experience, in Computer Science, or related technical field. You will provide technical mentorship and guidance, and prepare…
$138,900 - $256,500 a year
13d
Machine Learning Engineer
ProIT Inc. —Cupertino, CA
Advise design reviews, operational reviews, and the deployment of highly available infrastructure. Influence, design and create new architectures, standards and…
$110,392.43 - $140,827.44 a year
Quick Apply
Machine Learning Engineer
Roche —Santa Clara, CA
We are looking for a signal processing engineer to develop innovative signal processing, machine learning and deep learning algorithms for real-time primary…
Estimated: $117K - $148K a year
5d
Machine Learning Engineer
Karwell Technologiies Inc —San Jose, CA
A Master's or Ph.D. degree in Computer Science, Statistics, Data Science, or a related field. Solid knowledge of software engineering best practices, including…
$115,198.06 - $138,733.16 a year
Quick Apply
5d
Machine Learning Engineer
Hewlett Packard —Palo Alto, CA
Degree (Ph.D./M.S. preferred) in Computer Science, Engineering, Mathematics, or other quantitative field. Collaborate with cross-functional teams to understand…
Estimated: $149K - $189K a year
4d
Deep Learning Compiler Engineer for Ryzen AI NPU
Advanced Micro Devices, Inc —San Jose, CA
Develop back-end optimization passes to convert high-level representation into driver calls. Strong understanding of compiler design principles (front-end,…
Estimated: $124K - $157K a year
AIML - ML Engineer, Machine Learning Platform & Infrastructure
Apple —Cupertino, CA
Experience with machine learning algorithms and tools. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as…
$138,900 - $256,500 a year
1d
Machine Learning Engineer
TOP RPO LLC —Palo Alto, CA
A technical Bachelor's degree or equivalent practical experience developing software. Work directly with ex-Google execs to develop and execute on cutting-edge…
Estimated: $124K - $157K a year
Quick Apply
8d
Machine Learning Infrastructure Engineer
Apple —Cupertino, CA
As part of our team, you will be developing novel machine learning tools and frameworks focused on scalable evaluation of generative models.
$170,700 - $256,500 a year
2d
Machine Learning Engineer L4, Algorithms Engineering
Netflix —Los Gatos, CA
To be successful in this role, you need a strong machine learning and software engineering background and have proven experience with large-scale applications…
Estimated: $151K - $191K a year

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Advanced Senior AI Research Scientist

Accenture - Mountain View, CA

Apply Now

Job Details

Full-time

Qualifications

Management
Law
3 years
Bachelor's degree
Machine learning
Team management
Deep learning
Mentoring
Business requirements
AI
Associate's degree
Generative AI

Full Job Description

We Are

Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are

As an Advanced Senior AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems.

You lead teams and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.
You have a deep understanding and ability to remain at the forefront of generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).
As needed by the specific problem, you train and/or fine-tune generative AI models and evaluate on the specific problem.
As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.
You'll also work collaboratively with teams & leaders from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.

The Work

Participate internal and external discussions to gather business use case requirements, provide on the spot AI expertise and AI solution options for business problems.
Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised learning, transferred-learning, and fine-tuning techniques.
Design, develop and implement highly sophisticated Gen AI based applications including generative agent and similar architectures which support multiple Gen AI models to work together for complex tasks.
Lead technical teams and grow true AI expertise within broader team including offshore
Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the AI solutions meets the needs and expectations of various stakeholders.
Develop and execute an AI solution project plan with team, timeline, and infrastructure dependency.
Define and implement a value justification approach to the AI solutions; estimate solution cost with right technological choices; and calculate ROI.
Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the solution, capture IP, facilitating seamless understanding, knowledge transfer and future development.
Collaborate with academia partners to stay on the cutting edge of AI, especially Gen AI technologies, provide through leadership on AI trend, AI use case innovation trend, new AI opportunities, or foreseeable limitation, risks, and concerns.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's What You Need

Minimum of 6 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models.
Minimum of 6 years of experience of experience in building, fine-tuning Foundation models including LLMs and multi-modal models.
Minimum of 6 years of strong working knowledge of the different technologies, their differences, modalities in the Generate AI space.
Minimum of 6 years of working knowledge and familiarity with different LLM driven application architecture patterns.
Minimum of 6 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs.
Minimum of 6 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture.
Minimum of 6 years of proven experience with processor and system-level performance modelling.
Minimum of 3 years of experience of technical team management or team mentoring.
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below.
We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here.

Role Location Annual Salary Range

California $131,100 to $336,900

Colorado $131,100 to $291,100

District of Columbia $139,600 to $309,900

New York $121,400 to $336,900

Maryland $121,400 to $269,500

Washington $139,600 to $309,900

#LI-NA

#LI-MP

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement.

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

Apply Now

machine learning engineer jobs in Cupertino, CA

Advanced Senior AI Research Scientist

Senior ASIC Timing Engineer

Software Engineer Apprentice

Senior GPU Supercomputer Scheduler Engineer

Optical Imaging Scientist / Engineer

Machine Learning Engineer

Machine Learning Engineer (Hybrid)

Machine Learning Quality Engineer

Machine Learning Engineer

AIML - Machine Learning Engineer, Siri Information Intelligence

AIML - Machine Learning Researcher, MLR

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Deep Learning Compiler Engineer for Ryzen AI NPU

AIML - ML Engineer, Machine Learning Platform & Infrastructure

Machine Learning Engineer

Machine Learning Infrastructure Engineer

Machine Learning Engineer L4, Algorithms Engineering

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