Search for Machine Learning Engineer roles in Cupertino, CA, specifically focusing on positions related to Large Language Models and Generative AI, with a minimum requirement of a Master's degree, offering full-time opportunities.

Okay, I've searched for Machine Learning Engineer roles in Cupertino, CA, focusing on Large Language Models and Generative AI, requiring a Master's degree, and offering full-time positions. I have found 42 relevant positions for you.

Machine Learning Engineer

Cupertino, CA

Large Language Models

Generative AI

Master's

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

Sure. Here's the analysis:

Job Analysis:

The role of a Machine Learning Engineer (MLE) at Apple, specifically within the Siri team, is fundamentally about driving innovation in human-computer interaction through advanced machine learning applications. This position primarily focuses on enhancing Siri's conversational capabilities by integrating Large Language Models (LLMs) and Generative AI into Apple's technology ecosystem. The responsibilities outlined in the job description emphasize a hands-on approach—candidates are expected to engage in all stages of model development, from ideation to deployment, which indicates a dynamic work environment where adaptability and creativity are crucial. Success in this role involves not just technical proficiency but also the ability to translate complex research into practical applications that improve user experience. Candidates may face challenges such as resource constraints, fast-paced project timelines, and the need for cross-team collaboration to align machine learning solutions with larger business objectives. Performance benchmarks could include the effectiveness of newly developed features and their impact on user satisfaction with Siri, with the expectation that the candidate will contribute to measurable enhancements in interaction quality and overall performance of Siri's capabilities.

Company Analysis:

Apple occupies a leading position in technology, especially in consumer electronics and software development, with a strong emphasis on innovation and design. The company is well-known for its commitment to quality, user experience, and cutting-edge technology. The culture at Apple tends to be collaborative yet competitive, demanding high levels of creativity and excellence from its employees. An MLE within this framework can expect to work in a fast-paced environment where change is constant, and new ideas are readily embraced, yet the pressure to deliver world-class results will be a consistent theme. The position of MLE on the Siri team is significant, as it contributes directly to critical functions of one of Apple’s flagship products, solidifying the role's visibility both within the immediate team and across the company. Strategic alignment is evident in this hire, as enhancing Siri’s capabilities not only improves the product offering but also supports Apple’s broader goal of maintaining its competitive edge in AI and machine learning in consumer interfaces, ultimately driving engagement and customer loyalty.

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 had to lead a machine learning project from concept to deployment. What challenges did you face, and how did you overcome them?
Can you provide an example of a complex machine learning problem you solved? What was your approach to finding a solution?
Describe a situation where you had to collaborate with cross-functional teams. How did you ensure alignment and success across different departments?
How would you prioritize tasks when facing tight deadlines and evolving project requirements in a fast-paced environment?
What techniques would you use to fine-tune a large language model for specific applications? Can you walk us through your process?
How do you stay updated with the latest advancements in machine learning and artificial intelligence? Can you discuss any recent research that particularly interests you?
Imagine you need to develop a new conversational feature for Siri that addresses user frustration. How would you begin this project?
If you encountered a significant performance issue with a machine learning model you've developed, what steps would you take to diagnose and resolve it?
Why are you interested in working with Apple, and what excites you about contributing to the Siri team specifically?
How do the values of collaboration and innovation at Apple align with your personal work philosophy?
What are the most important ethical considerations to keep in mind when developing AI applications like Siri?
Can you describe a time when you utilized feedback to improve your work? How did you react, and what changes did you implement?

Job Details

Overview Company

Senior Machine Learning Engineer

$175.8k/y-$312.2k/y

Lensa

23 days ago

Highlight

OnsiteFull-timeSenior

Summary

Apple is seeking a Machine Learning Engineer, Siri to join their team in Cupertino, CA. The role involves developing and advancing intelligent experiences on Apple's innovative devices, enabling new conversational features for Siri interactions.

About the Role

As a Senior Machine Learning Engineer on the Siri Natural Language Team, you will lead the exploration and application of Large Language Models and Generative AI, translate the latest research into high-performing systems, set the team's strategic direction, engage in all aspects of model development, and collaborate with various teams to develop and implement Machine Learning solutions.

About You

Required:

In-depth experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI.
Published research in the field of Machine Learning or AI is highly desirable.
Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications.
Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models.
Proven problem-solving and leadership abilities.

Preferred:

An advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Ongoing professional development in Machine Learning and Artificial Intelligence domains.

Benefits

Base pay range between $175.8k–$312.2k.
Opportunity to become an Apple shareholder through discretionary employee stock programs.
Eligibility for discretionary restricted stock unit awards.
Ability to purchase Apple stock at a discount through the Employee Stock Purchase Plan.
Comprehensive medical and dental coverage.
Retirement benefits.
A range of discounted products and free services.
Reimbursement for certain educational expenses, including tuition.
Potential eligibility for discretionary bonuses or commission payments.
Relocation assistance.

Lensa

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Cupertino, CA