Machine Learning Research Scientist | Engineer - Special Projects

Apple • Santa Clara, CA

2d

About The Position

We are seeking ML research scientists and engineers with a strong background in
machine learning, algorithms, decision making, and reinforcement learning to
drive breakthrough innovations in intelligent systems. This position requires a
hands-on approach to pioneer new technologies and bring them to life in entirely
new product categories and form factors. If you thrive at the intersection of
science, engineering, and product impact, this is your chance to make a visible
mark at scale. You will work alongside world-class researchers and engineers,
contributing to technologies that power the Apple ecosystem and publishing in
top-tier scientific venues. You will work across disciplines—from hardware to
human interaction—tackling the riskiest problems and transforming bold ideas
into reality.

DESCRIPTION

We are a team of best-in-the-world research scientists and engineers with deep
experience in computer vision, machine learning, robotics, computer graphics,
algorithms, decision making/planning, 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: Passion for
the mission: We’re here to make something extraordinary. We seek whatever work
is right and strive for the best possible results. Results oriented and
scientific honesty: The right answer is more significant than being right. We
search for solutions as a team and value clear-eyed feedback. Focus: Time
constraints and big goals encourage us to sharpen our focus and learn to make
optimal decisions balancing strategic and tactical goals.

Requirements

• Master's, or PhD in Computer Science, Electrical Engineering, Statistics, or a related field.
• Solid knowledge of Machine Learning methods and algorithms, statistical analysis, reinforcement learning, and computer science algorithms.
• Strong programming skills in C++, Python.
• Solid knowledge in deep learning frameworks such as PyTorch and TensorFlow.
• Strong software engineering skills, delivering clean and well-tested code.
• Strong problem-solving skills and ability to iterate quickly based on user feedback and technical constraints.
• Excellent communication and collaboration skills, with ability to work independently or in small teams.

Nice To Haves

• Ph.D. in Computer Science or related field.
• Recognized expertise in machine learning, automated planning, and decision theory.
• Experience in out of distribution detection and diagnosis, automated planning and uncertainty estimation.
• Proven experience with Generative AI and Large Language Models (prompt engineering, fine- tuning, etc.).
• Prior experience building consumer-facing products is highly valued.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees