Search for Applied Research Engineer roles in Cupertino, California, focusing on machine learning, with a Bachelor's degree in Computer Science, requiring strong programming skills, and a minimum of 3 years of experience.

Okay, I've searched for Applied Research Engineer roles in Cupertino, California, in the machine learning field, requiring a Bachelor's degree in Computer Science, strong programming skills, and at least 3 years of experience. I have found 42 positions for you.

Applied Research Engineer

Cupertino, CA

Machine Learning and AI

Bachelor

3 years + Experience

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of Applied Research Engineer/Scientist at Apple is fundamentally about leveraging machine learning (ML) to enhance AI-driven products that redefine user experiences. This position requires a blend of technical skills and creative problem-solving, as the candidate will not only be tasked with the development and implementation of ML models but will also need to engage in hands-on prototyping and model evaluation while collaborating across diverse teams. Given Apple's emphasis on innovation and rapid iteration, the successful candidate should possess a solid foundation in machine learning principles, programming skills, and a passion for translating cutting-edge research into practical applications. Challenges may include navigating complex cross-functional engagements, ensuring alignment between teams, and effectively communicating technical concepts to individuals with varied expertise. Success within this role will likely be gauged by the ability to contribute to innovative projects that seamlessly integrate AI technologies into Apple's product ecosystem, ultimately reflecting the company's commitment to delivering groundbreaking user experiences.

Company Analysis:

Apple occupies a leading position in the technology industry, renowned for its innovation and commitment to high-quality user experiences. This market leadership not only sets high expectations for its products but also informs the collaborative work environment central to this role, where engineering prowess meets design excellence. The company's culture appears to prioritize diversity, inclusion, and cross-disciplinary collaboration, making it essential for the Applied Research Engineer/Scientist to possess strong interpersonal skills and an appreciation for working in diverse teams. The strategic alignment of this role lies in its contribution to Apple's broader goal of integrating advanced AI capabilities across its product lines, which necessitates a deep understanding of the latest developments in machine learning. This position also suggests that Apple is continually seeking to push forward its technological boundaries, presenting an exciting opportunity for individuals ready to embrace the challenges of a fast-paced and result-oriented workplace.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you faced a significant challenge in your machine learning projects and how you overcame it.
Describe a situation where you had to communicate complex technical information to a non-technical team member.
Can you provide an example of how you developed a prototype for a machine learning solution? What steps did you take?
What do you think is essential when collaborating with hardware and software teams on an ML project?
How would you approach the task of prototyping AI solutions that address real-world problems?
Explain your experience with transformer-based models and how they impact your work in machine learning.
Imagine you are working on an AI product and discover a significant flaw in the model's performance just before a launch. What steps would you take to address the issue?
Suppose a team member disagrees with your approach to implementing an algorithm. How would you handle the situation?
Why are you interested in the Applied Research Engineer/Scientist role at Apple specifically, and how do your career goals align with our mission?
How do you stay current with advancements in machine learning and AI technologies?
What excites you most about the prospect of working on AI integration within Apple's diverse product ecosystem?
What questions do you have for us about the collaborative processes in place across teams at Apple?
How does your past experience prepare you for the unique challenges of this role?
Can you share an instance where your curiosity led to a creative solution in a technical project?

Job Details

Overview Company

Applied Research Engineer/Scientist

Lensa

16 days ago

Highlight

OnsiteFull-timeEntry

Summary

Apple is seeking an Applied Research Engineer/Scientist to join their team in Cupertino, CA. The role involves building AI-driven products and integrating AI technologies across Apple's product ecosystem.

About the Role

As an Applied Research Engineer/Scientist, you will participate in the ML development lifecycle, collaborate with cross-functional teams, design and implement ML models, and support evaluation efforts. You will work closely with hardware, software, and design teams to implement engineering solutions ready for product development.

About You

Required:

Bachelor's degree in Computer Science, Machine Learning, or related technical field, or equivalent practical experience.
Experience with machine learning through hands-on work in product development, prototyping, or research environments.
Strong programming skills with experience in machine learning development.
Understanding of transformer-based models.
Ability to communicate technical concepts to team members.
Experience with prototyping in ML/AI contexts.

Preferred:

Knowledge of large language models (LLMs) and multi-modal foundation models.
Experience with pre-training, fine-tuning, or performance optimization.
Familiarity with AI systems capable of reasoning and task execution.
Creativity and curiosity about applying AI capabilities to product experiences.
Ability to implement research innovations into practical applications.
Good collaborative skills and effective communication.

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

Cupertino, CA