Search for Machine Learning Engineer roles in Cupertino, CA, specifically focused on generative AI, with at least 5 years of experience, requiring strong programming skills in Python, and available in full-time positions.

Okay, I've searched for Machine Learning Engineer roles in Cupertino, CA focused on generative AI, requiring at least 5 years of experience, with strong programming skills in Python, and full-time positions. There are 120 openings that match your criteria.

Machine Learning Engineer

Cupertino, CA

5 years + Experience

Python

Full Time

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

Sure. Here's the analysis:

Job Analysis:

The role of Machine Learning Engineer - Gen AI at Apple centers on leveraging advanced machine learning techniques to enhance the user experience of Apple Maps. As a self-starter expected to ship impactful AI solutions, the candidate must demonstrate the ability to convert high-level business objectives into tangible technical requirements. This involves not only developing and integrating sophisticated models but also engaging in data-driven iteration and collaboration across engineering and design teams. Core tasks include extensive data mining, building scalable AI solutions, and ensuring that the systems deployed meet the high performance and quality standards Apple is known for. The candidate will encounter challenges such as handling large, real-world datasets, solving complex problems through innovative thinking, and continuously refining their solutions in a fast-paced environment. Success in this role can be defined by the ability to effectively transform abstract concepts into deployed systems that significantly elevate user satisfaction and functionality in Apple's ecosystem.

Company Analysis:

Apple stands as a premier player in the technology sector, renowned for its commitment to innovation and high-quality consumer products. The company thrives on a fast-paced, results-driven culture that prioritizes excellence and creativity. Working for Apple involves operating within a corporate structure that values cross-collaboration and empowers teams to take ownership of their projects. The Machine Learning Engineer position not only contributes to the Maps Engineering Team—crucial for user navigation and experiencing an evolving digital landscape—but also aligns with Apple’s broader mission to integrate cutting-edge technology seamlessly into everyday life. Given the emphasis on AI and machine learning, the role is pivotal to future-proofing Apple's leadership in the tech domain and addressing dynamic user needs. Candidates must embody Apple's values of innovation, resilience, and user-centric design to thrive here and contribute positively to the company’s ongoing growth and market leadership.

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 overcome a significant technical challenge in a project. How did you approach the problem and what was the outcome?
Describe a situation where you took full ownership of a machine learning project from concept to production. What were the key steps you took?
Can you give an example of a time when you had to collaborate with cross-functional teams to deliver a project? What role did you play, and what was the result?
How would you approach transforming a high-level business objective into measurable, technical requirements for a machine learning solution?
What strategies do you employ to ensure the machine learning models you build deliver high-quality results consistently?
Can you discuss your experience with generative AI models? What challenges did you face and how did you address them?
Imagine you are tasked with improving the performance of a current AI model that is underperforming. What steps would you take to diagnose and enhance it?
You're presented with a dataset that is biased. How do you handle the data to ensure your machine learning model is fair and accurate?
Why are you interested in working at Apple specifically, and how do you think your experience aligns with our mission?
How do you see your professional growth aligning with the innovative direction that Apple is known for?
What do you consider to be the core values that drive your work, and how do they correlate with Apple's values of innovation and user experience?
What are the biggest challenges you anticipate in a role focused on AI/ML at Apple, and how do you plan to address them?
What is the last significant trend or development in AI/ML that you've learned about, and how do you think it could impact the future of Apple Maps?
What questions do you have for us about your role, team dynamics, or Apple's approach to technology?
How does Apple’s focus on user experience resonate with your professional ideals, particularly in developing AI solutions?

Job Details

Overview Company

Machine Learning Engineer

$143.1k/y-$264.2k/y

Lensa

4 days ago

Highlight

OnsiteFull-time5+ yearsSenior

Summary

Apple is seeking a Machine Learning Engineer - Gen AI to join their team in Cupertino, CA. The role involves developing AI/ML solutions to enhance Apple Maps and impact millions of users worldwide.

About the Role

As a Machine Learning Engineer - Gen AI, you will work alongside world-class engineers and scientists to develop innovative AI/ML solutions. Your responsibilities include transforming business objectives into technical requirements, designing, implementing, and deploying cutting-edge models, and collaborating with cross-functional teams to architect scalable systems. You will take ownership of projects from data mining to final integration of AI/ML solutions into production.

About You

Required:

5+ years of experience in building large scale machine learning systems.
3+ years of experience in generative AI models, NLP, or Computer Vision.
Intuitive understanding of machine learning algorithms and modeling techniques.
Experience with large scale and real world datasets.
Strong programming skills with experience in PyTorch, TensorFlow, Scikit-learn, Python, Scala, Java, or C++.
Knowledge of Spark, Apache Hadoop, Solr/Lucene, Cassandra, and related big data technologies.

Preferred:

Masters or PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.
Hands-on experience with multi-modal foundation models.
Experience shipping a complex AI system, including research and leveraging generative AI models.
Excellent independent problem-solving skills.
Excellent written and oral communication skills.

Benefits

Base pay range of $143k–$264k depending on skills, qualifications, experience, and location.
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.
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