Search for Applied Researcher roles in Cambridge, MA, specializing in AI and machine learning, with a focus on NLP and a PhD requirement. I have over 4 years of experience in Applied Research and am looking for a salary range starting at $257,300.

Okay, I've searched for Applied Researcher roles in Cambridge, MA, focusing on AI and machine learning with an NLP specialization. I've also filtered positions that require a PhD and have found opportunities that match your experience level and salary expectations. There are 12 positions available for you to review.

Applied Researcher

Cambridge, MA

AI and Machine Learning

PhD

4 years + Experience

$257300+

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

Sure. Here's the analysis:

Job Analysis:

The Applied Researcher II role at Capital One is fundamentally aimed at leveraging advanced AI and machine learning technologies to enhance customer interactions and financial services. This position requires an interdisciplinary approach, demanding collaboration with data scientists, software engineers, and product managers to develop AI-powered solutions that improve user experiences. Success in this role hinges on the ability to navigate complex data landscapes and extract actionable insights that resonate with business goals. Responsibilities include constructing AI foundation models, engaging in high-impact research, and translating technical complexity into tangible business value. Key skills for this role encompass a strong foundation in AI methodologies, hands-on experience with tools like Pytorch and AWS, and creative problem-solving capabilities to identify innovative solutions. Candidates are expected to exhibit not only technical proficiency but also leadership qualities, enhancing team dynamics and driving projects effectively from conception through execution. A blend of autonomous research capabilities and an understanding of the AI landscape is crucial for thriving in this rapidly evolving environment.

Company Analysis:

Capital One is positioned as an innovation leader in the financial services sector, leveraging cutting-edge technology to redefine customer experiences. Their commitment to financial freedom for all customers underscores a mission-driven culture that values inclusivity and equitable opportunities. The company appears to foster a supportive, collaborative work environment that enables employees to contribute ideas and engage in transformative projects. Within the organizational context, the Applied Researcher II role sits at the intersection of AI research and practical application, granting substantial visibility and influence over project outcomes. The cultural emphasis on continual innovation aligns closely with the role's demand for creativity and initiative. As a strategic hire, the Applied Researcher II will be expected to propel the company’s vision for AI integration, ensuring growth and competitiveness amid a rapidly evolving tech landscape. A candidate who resonates with Capital One's values and is passionate about making impactful changes in banking through AI will find strong opportunities for personal and professional growth here.

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 analyze a complex dataset to derive actionable insights. What methodologies did you use?
Can you provide an example of when you had to collaborate with cross-functional teams to achieve a shared goal? What was your role?
Share an experience where you challenged conventional thinking in your field. What was the outcome?
Describe a situation where you had to explain a complex technical concept to stakeholders with non-technical backgrounds. How did you approach it?
How would you approach the task of building a new large language model from scratch? What would your first steps be?
What strategies would you employ to optimize the training of a large deep learning model?
Can you walk us through the process you would use for fine-tuning a pre-trained large language model for a specific task?
Imagine you are faced with an unexpected challenge during the implementation of an AI model that affects project timelines. How would you handle this situation?
What do you see as the biggest ethical considerations when deploying AI in the banking sector, and how would you address them?
Why are you interested in working at Capital One specifically, and how do our values align with your personal mission?
What excites you about the future of AI and machine learning, and how do you see yourself contributing to that at Capital One?
What questions do you have about the team culture within the AI Foundations team at Capital One?
How does your previous research experience prepare you for the challenges you will face in this role?

Job Details

Overview Company

Applied Researcher II

$257.3k/y-$293.7k/y

Capital One

2 days ago

Highlight

OnsiteFull-time2+ yearsMid

Summary

Capital One is seeking an Applied Researcher II to join their team in Cambridge, MA. The role involves creating trustworthy and reliable AI systems to enhance customer experiences in banking.

About the Role

As an Applied Researcher II, you will partner with a cross-functional team to deliver AI-powered products that transform customer interactions with their money. You will leverage technologies like Pytorch, AWS Ultraclusters, and Huggingface to analyze large volumes of data and build AI foundation models. Your work will involve all phases of development, from design to implementation, and engaging in high-impact applied research to advance customer experiences.

About You

Required:

Currently has, or is in the process of obtaining, a PhD with at least 2 years of experience in Applied Research, or an M.S. with at least 4 years of experience in Applied Research.
Hands-on experience developing AI foundation models using open-source tools and cloud computing platforms.
Deep understanding of AI methodologies and experience building large deep learning models.

Preferred:

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields.
Experience in NLP research with multiple publications on large language models.
Experience optimizing training for large deep learning models and knowledge of deep learning algorithmic design.

Benefits

Performance-based incentive compensation, including cash bonuses and/or long-term incentives.
Comprehensive, competitive, and inclusive set of health, financial, and other benefits.

Capital One

At Capital One, we're making things better for our customers and associates through innovation and collaboration. We were founded on the belief that everyone deserves financial freedom—and are dedicated to a world where all have equal opportunity to prosper.

Banking is in our DNA, but we are so much more than a bank. We always think about what’s next—and how we can bring our customers the tools needed to improve their financial lives. Your ideas, experiences and skills will help make banking better. You’ll be part of a supportive culture while earning amazing benefits. That’s life at Capital One.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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Cambridge, MA