Sr Machine Learning Applied Research Scientist

Orange County Comptroller; Cupertino (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

A leading technology company seeks a Machine Learning Engineer to enhance software development solutions using advanced ML techniques. The role involves integrating ML into products and requires a strong expertise in machine learning, deep learning, and natural language processing. Join a collaborative team where your creativity and problem-solving skills will be valued in tackling complex challenges.

Qualifications

• 5+ years industry experience as a Machine Learning Engineer or Applied Research Scientist.
• Strong hands-on experience in building large scale ML based solutions.
• Experience with reinforcement learning is preferred.

Responsibilities

• Identify and apply novel techniques to model training and data generation.
• Integrate ML into products, collaborating with the extended team.
• Develop scalable, maintainable, and cost-effective ML solutions.

Skills

Machine Learning

Deep Learning

Natural Language Understanding

Data Engineering

Problem Solving

Education

MS in Computer Science

Tools

Python

Job description

Apply here: https://jobs.apple.com/en-us/details/200579158/sr-machine-learning-applied-research-scientist

Our team of applied ML scientists and engineers works to enhance the experience and productivity of software developers at Apple and in the Apple developer ecosystem. Our team trains state-of-the-art ML models and applies them in products to solve real-world problems. We’re looking for talented and enthusiastic team members to join us in our efforts. If this sounds like you, we have many challenging and interesting problems to work on together and would love to talk to you!

Our team designs and builds ML solutions to enhance the software development experience at Apple and within the Apple developer ecosystem. We are a team of applied scientists, infrastructure engineers, and machine learning engineers who are immersed in the rapidly advancing field of ML, and Natural Language Processing in particular. In this role, you will be responsible for identifying and applying novel techniques to model training and supporting tasks like data generation, evaluation infrastructure, and inference. You will also be involved in directly integrating ML into products, working closely with the extended team to collect and apply feedback. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions. You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.

Minimum Qualifications
5+ years industry experience as a Machine Learning Engineer or Applied Research Scientist working on advancing the state of the art of machine learning.
Strong understanding in ML, deep learning, natural language understanding, specifically in training deep neural networks.
Strong hands-on experience in building large scale ML based solutions and data engineering using Python (preferred) or similar languages.
MS in Computer Science or related experience

Preferred Qualifications
Proven experience with applied Natural Language Processing.
Experience with reinforcement learning