Search for Machine Learning Engineer roles in San Francisco, requiring 3+ years of software development experience, with a focus on artificial intelligence in a full-time capacity.

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Machine Learning Engineer

San Francisco, CA

3 years + Experience

Artificial Intelligence

Full Time

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

Sure. Here's the analysis:

Job Analysis:

The Machine Learning Engineer position at Lensa focuses on developing innovative AI solutions that enhance user experiences. The candidate is expected to engage deeply in the full software development life cycle, emphasizing design, architecture, and implementation of high-volume ML applications. This role requires an understanding of machine learning algorithms and experiences in building systems that are not only scalable but also user-centric. Given the company's commitment to utilizing complex algorithms for job seeker matching, the engineer will likely encounter challenges such as ensuring algorithms are effective, reliable, and capable of adapting to user needs. Success in this position means consistently delivering high-quality software and effectively collaborating with cross-functional teams to transform AI-driven insights into practical applications. Achieving milestones in a fast-paced Agile environment will also be a critical determinant of performance within the first year.

Company Analysis:

Lensa operates in the competitive career technology sector, promoting positions for various clients rather than acting as a traditional staffing agency. The company uses advanced machine learning capabilities to respond to the evolving needs of job seekers and employers alike. Its recent growth, indicated by surpassing ten million job seeker registrations, suggests that Lensa is positioned as a leading disruptor in its industry. The culture at Lensa is likely innovative and agile, reflecting a startup mentality driven by a mission to simplify the job search process. This emphasis on creativity and problem-solving can foster a dynamic work environment where collaboration thrives. This role as a Machine Learning Engineer is positioned within a specialized AGI team, likely affording the engineer significant visibility and impact as they contribute to major technological advancements and strategic initiatives aimed at augmenting human intelligence. This alignment with the company's growth objectives suggests that this position is integral to not only enhancing product offerings but also building the foundation for future advancements in AI technology.

Mock up some interview questions based on the job description.

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

Behavioral: Can you describe a time when you faced a significant challenge in a software development project? How did you overcome it?
Behavioral: Tell me about a situation where you had to work with a cross-functional team to implement a new technology. What role did you play and what was the outcome?
Behavioral: Give an example of how you ensured high-quality software in your previous projects. What processes did you adopt?
Behavioral: Describe a time when you had to adapt your project plan due to changing priorities. How did you manage that situation?
Technical: How would you approach developing a scalable machine learning model for a new feature on our career platform?
Technical: Can you explain the significance of design patterns in software development and provide an example from your experience?
Technical: Discuss your experience with the Agile development methodology. How have you interacted with teams in an Agile environment?
Technical: What coding standards do you adhere to when collaborating on a software development team?
Situational: Imagine a scenario where the performance of a deployed machine learning model is declining. How would you diagnose and address the issue?
Situational: If you were tasked with prototyping a new feature that augments user engagement through AI, what steps would you take?
Company Fit: What specifically attracts you to working at Lensa, and how do you think your values align with ours?
Company Fit: How do you view Lensa's mission of revolutionizing the job search process, and how do you see your role contributing to that vision?
Questions for the Interviewer: What are the biggest challenges the AGI Autonomy team is currently facing?
Questions for the Interviewer: Can you share more about the collaborative dynamics within the AGI team and how this role interacts with other departments?

Job Details

Overview Company

Machine Learning Engineer

$129.3k/y-$223.6k/y

Lensa

5 days ago

Highlight

OnsiteFull-time3+ yearsMid

Summary

Amazon is seeking a Machine Learning Engineer, AGI Autonomy to join their team in San Francisco, CA. The role involves advancing generative AI technologies and building workflows for digital agents.

About the Role

As a Machine Learning Engineer, you will be responsible for developing and maintaining core modules and services, working in an Agile/Scrum environment, and collaborating with scientists and software engineers to evaluate technical feasibility and develop new technology. You will have the opportunity to impact the design, architecture, and implementation of products used daily.

About You

Required:

3+ years of non-internship professional software development experience.
2+ years of non-internship design or architecture experience.
Experience programming with at least one software programming language.

Preferred:

3+ years of full software development life cycle experience.
Bachelor's degree in computer science or equivalent.

Benefits

Compensation ranges from $129k–$223k based on market location and experience.
Equity, sign-on payments, and other forms of compensation may be provided.
Full range of medical, financial, and other benefits.

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 Francisco, CA