2 jobs for "Research Scientist/Engineer - Agentic Workflows"

Research Scientist/Engineer - Agentic Workflows

At Apple - Santa Clara

Posted on Oct 19

View job Apply on company site

Research Scientist/Engineer - Agentic Workflows

At Apple - Santa Clara

Posted on Oct 19

View job Apply on company site

Apple

Research Scientist/Engineer - Agentic Workflows

Santa Clara, CA$175,000 – $308,500Posted 19 days ago

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Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

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We're seeking research scientists and engineers to create breakthrough innovations in language models, machine learning, reinforcement learning, computer vision, robotics, and related areas. We are particularly interested in frontier models (including large multimodal models) and agentic workflows. You will work in an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

Description

We are a team of best-in-the-world research scientists and engineers with deep experience in machine learning, computer vision, robotics, computer graphics, and related areas. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values:","responsibilities":"Passion for the mission: We're here to make something extraordinary. We seek whatever work is right and strive for the best possible results.

Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback.

Lean habits: You can't grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.

Preferred Qualifications

BS, MS, or PhD Degree in Computer Science/Electrical Engineering or equivalent academic or professional experience.

Minimum Qualifications

Significant experience building complete prototypes that achieve state-of-the-art performance in your areas of expertise.

Solid software engineering skills in complex, multi-language systems. Fluency in Python.

Expertise in ML algorithms and top practices for working with deep learning systems.

Proficiency with ML modeling frameworks (PyTorch, Tensorflow, etc.).

Strong overall software development approach. You deliver clean, well-tested code.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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