Search for Applied Scientist roles in Bellevue, WA, focused on Natural Language Processing, requiring a PhD or Master's, with 3+ years of experience in machine learning for business applications, ideally in a company known for AI technologies.

Okay, I've searched for Applied Scientist roles in Bellevue, WA focused on Natural Language Processing, requiring a PhD or Master's degree, with a minimum of 3 years of experience in machine learning for business applications. I have found 42 positions that match your criteria.

Applied Scientist

Bellevue, WA

Natural Language Processing

3 years + Experience

PhD

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

Sure. Here's the analysis:

Job Analysis:

The role of Applied Scientist II at Amazon's Alexa Devices organization emphasizes the importance of developing advanced systems that leverage large language models (LLMs) to enhance user experiences through personalized content delivery. The candidate is fundamentally hired to drive innovation in natural language processing (NLP) and recommender systems, solving complex problems that significantly impact user interactions with Alexa. Responsibilities include collaborating with cross-functional teams to devise novel algorithms—implying a need for strong communication skills and an ability to work effectively in a dynamic environment. The emphasis on rapid experimentation and feedback indicates that candidates should be prepared to iterate quickly and learn from user data to refine recommendations and enhance user satisfaction. Success in this role will be measured by the effectiveness of implemented solutions, the ability to leverage Amazon's vast data resources, and the overall customer impact achieved through the developed systems. A PhD or relevant advanced degree alongside substantial industry experience is essential, not only to develop complex models but also to navigate the inherent ambiguities of machine learning applications in a fast-paced commercial context.

Company Analysis:

Lensa operates in the dynamic landscape of tech-driven recruitment solutions, aiming to streamline the job search process through advanced algorithms and machine learning. As a premier career platform, the company is well-positioned to disrupt traditional hiring practices, demonstrating a commitment to innovation and user-centric solutions. This entrepreneurial spirit is likely reflected in its work culture—fast-paced, collaborative, and focused on continual improvement. The company’s mission resonates particularly well within the Applied Scientist II role, which demands a willingness to innovate and a proactive approach to challenges. Within the larger structure of Amazon, this role is crucial for advancing Alexa's capabilities, indicating a high level of cross-functional collaboration with both technical and non-technical teams. Candidates can expect significant visibility and influence, especially as their contributions directly affect the user experience on a scale unique to Amazon. Ultimately, the role aligns with the company's strategic vision of enhancing user engagement through advanced, user-friendly technology, making it a pivotal position within an organization striving for continuous growth and excellence.

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 solve a complex problem in machine learning that required both technical expertise and collaboration with others.
Can you describe a project where you utilized natural language processing techniques? What challenges did you face, and how did you overcome them?
Give an example of a time you had to work under pressure to meet a deadline. How did you manage the situation?
Share an experience that demonstrates your ability to iterate on feedback from users or stakeholders in a project. What was the outcome?
How would you approach building a recommender system for a new feature within the Alexa interface? What steps would you take initially?
What machine learning frameworks and tools have you used in past projects, and how did they facilitate your work?
Can you explain your process for validating and testing algorithms in a machine learning application?
Imagine you are tasked with improving the relevance of recommendations in Alexa based on user behavior. What factors would you consider and why?
Why are you interested in working at Amazon, and how does this role align with your career goals?
How do you see the future of natural language processing technology impacting consumer products?
What unique contributions can you bring to our team, considering our objectives and culture?
What questions do you have for us about the team you'll be working with or the projects you'll be tackling?
How does your previous experience with large-scale customer-facing products inform your approach to this role?

Job Details

Overview Company

Applied Scientist II

$136k/y-$223.4k/y

Lensa

a month ago

Highlight

OnsiteFull-time3+ yearsMid

Summary

Amazon is seeking an Applied Scientist II for Alexa Devices, GENIE Science in Bellevue, WA. The role involves developing advanced systems using Large Language Model technologies to enhance customer experiences.

About the Role

As an Applied Scientist, you will collaborate with other scientists and engineers to develop novel algorithms for timely and relevant recommendations and conversations. Your work will impact customers through products and services utilizing machine learning, deep learning, and language model technologies. You will leverage Amazon’s data sources and computing resources to advance the state of the art.

About You

Required:

PhD, or Master's degree and 3+ years of building machine learning models for business application experience.
Experience programming in Java, C++, Python or related language.

Preferred:

PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, information retrieval.
2+ years experience in building machine learning or deep learning models for large scale customer facing product or features.
Publications at peer-reviewed NLP/ML conferences.
Solid software development experience.
Good written and verbal communication skills.

Benefits

Compensation ranges from $136k–$223.4k 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.

Bellevue, WA