Search for Machine Learning Engineer roles in San Jose, CA, requiring 5+ years of experience, with skills in Python and LLM tuning, and offering a salary of at least $130,000.

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Machine Learning Engineer

San Jose, CA

5 years + Experience

Python

LLM tuning

$130000+

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

Sure. Here's the analysis:

Job Analysis:

The core focus of the Machine Learning Engineer role at Lensa entails leveraging advanced AI technologies to enhance Zoom's product offerings through effective integration, optimization, and application of machine learning models and algorithms. This position is critically positioned at the intersection of artificial intelligence and software development, requiring the candidate to not only have technical expertise but also a collaborative mindset to work with diverse teams across research, product, and operations. Key responsibilities include evaluating AI functionalities, executing LLM prompt engineering, and optimizing AI models—all aimed at solving cutting-edge problems that could directly impact user experience and product efficacy. Success in this role hinges on the ability to interpret complex data, troubleshoot issues, and engineer seamless integrations that meet user needs, all while adopting best practices in software development. Given the continual evolution of technology in this space, candidates will need to be adaptable and proactive in identifying trends and challenges as they emerge.

Company Analysis:

Lensa operates in the competitive landscape of career technology, harnessing cutting-edge machine learning and data-driven insights to facilitate job matches that benefit both employers and job seekers. As an entity that has rapidly scaled since its inception, Lensa holds a significant position among premier career platforms, indicating a robust belief in the transformative capabilities of technology in job searching. The company's culture exemplifies innovation and collaboration, with a focus on inclusivity and support, which suggests a fast-paced, engaging work environment. The Machine Learning Engineer role is likely to be integral within a vibrant engineering team, underscoring the importance of cross-functional collaboration that contributes not only to immediate product performance but also long-term strategic goals of improving communication avenues across Zoom’s suite of services. As Lensa seeks to refine AI-driven solutions within a rapidly evolving industry, this role is a strategic hire designed to enhance technological capabilities that support overall company growth and advancement.

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 optimize a machine learning model. What steps did you take, and what were the results?
Can you describe a challenging debugging experience you faced while working on an AI project? How did you approach the problem?
Share an experience where you had to work closely with a cross-functional team. What strategies did you employ to ensure successful collaboration?
What is your approach to evaluating the performance of a machine learning model? What metrics do you usually track?
How would you handle feedback from product and operations teams regarding integrations that didn't go as planned?
Describe your experience with LLM tuning and prompt engineering. Can you provide a specific example?
Imagine you are tasked with creating metrics to measure AI performance for a new feature. What key performance indicators would you prioritize and why?
Suppose a recently deployed AI model is not performing as expected. What steps would you take to troubleshoot and diagnose the issue?
Why are you interested in working at Lensa specifically, given its focus on enhancing job search technologies?
How do you see your personal values aligning with Lensa's commitment to inclusivity and empowerment in career development?
What strategies do you envision using to stay updated on the latest trends in AI and machine learning?
What opportunities do you see for advancing communication technologies with machine learning applications in the workplace?
What questions do you have for us about the team dynamics within the engineering department?

Job Details

Overview Company

Machine Learning Engineer

$127.7k/y-$255.4k/y

Lensa

5 days ago

Highlight

HybridFull-time5+ yearsSenior

Summary

Zoom is seeking a Machine Learning Engineer to join their team in San Jose, CA. The role involves solving cutting-edge AI problems and working on LLM applications for Zoom's major products.

About the Role

As a Machine Learning Engineer, you will be part of a team focused on advancing AI technology. Responsibilities include evaluating AI functions, LLM prompt engineering, supporting AI model optimization, building and deploying GenAI use cases, and creating pipelines for AI services. You will collaborate with research, product, and operations teams to integrate ML services and work on data acquisition and tooling.

About You

Required:

Relevant expertise in Computer Science, Artificial Intelligence, Machine Learning, or related STEM field.
5+ years of work experience.
Coding skills in Python, C/C++, or Java.
Experience with LLM tuning and prompt engineering.
Experience with Natural Language Processing, text understanding, classification, or ranking systems.
Solid comprehension of AI concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch).
Knowledge of software development best practices and version control systems (e.g., Git).
Troubleshooting and debugging skills.

Benefits

Award-winning workplace culture with a variety of perks and benefits.
Support for physical, mental, emotional, and financial health.
Work-life balance support.
Opportunities to contribute to the community.

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.

San Jose, CA