Loading...
Machine Learning Research Scientist | Engineer - Special Projects
Apple
H1B ✓On-sitesenior levelPosted April 17, 2026
About the Role
Drive breakthrough innovations in intelligent systems by applying machine learning, algorithms, and reinforcement learning to new product categories. Collaborate with world-class researchers and engineers to transform bold ideas into reality across hardware and human interaction domains.
Requirements
Requires a Master's or PhD in Computer Science, Electrical Engineering, Statistics, or a related field with strong programming skills in C++ and Python. Candidates must have solid knowledge of machine learning frameworks and the ability to solve complex problems in a team-oriented environment.
Full Job Description
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.
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.
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.
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.
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.
Minimum Qualifications
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.
Preferred Qualifications
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.