Search for Lead Machine Learning Engineer roles in York, PA, preferably with 6+ years of experience, offering remote work options, focusing on Python and machine learning frameworks, with a salary of at least $190,000.

Okay, I've searched for Lead Machine Learning Engineer roles in York, PA, with a minimum of 6 years of experience, offering remote work options, focusing on Python and machine learning frameworks, and a salary starting at $190,000. I have found 12 relevant positions for you.

Lead Machine Learning Engineer

York, PA

6 years + Experience

Remote

$190000+

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

Sure. Here's the analysis:

Job Analysis:

The role of Lead Machine Learning Engineer at Capital One fundamentally revolves around the development and optimization of machine learning applications to address real-world business challenges. This entails not just technical proficiency in coding and engineering, but also a strategic approach to understanding the implications of various ML models and their operational contexts. The responsibilities emphasize cross-functional collaboration, especially with product and data science teams, which indicates the necessity for strong communication skills and the ability to translate complex technical concepts to non-technical stakeholders. Moreover, the expectation for high availability and performance of ML applications suggests that the candidate will face challenges related to system reliability and model retraining in production. Success in this role will likely be defined by the engineer's ability to deliver scalable solutions underpinned by robust cloud infrastructure, while adhering to best practices in governance and responsible AI, thereby contributing to Capital One's mission of improving financial lives through innovative technology.

Company Analysis:

Capital One positions itself as an innovative disruptor in the banking sector, focused on enhancing customer experiences through technological advancement. This ethos of innovation permeates the company culture, which appears to emphasize collaboration and a willingness to learn continuously—key components for anyone stepping into this Lead Machine Learning Engineer role. The company's commitment to financial freedom and equal opportunity reflects a social mission, likely making it an attractive place for candidates who seek to contribute positively to society through their work. The position within an Agile team points to a collaborative work environment where input across disciplines is valued. Given the competitive nature of the tech and finance sectors, this role not only supports immediate project goals but also aligns with Capital One's strategic priorities of scaling operations and enhancing product offerings through data-driven insights. A candidate here will need to be adaptable, innovative, and forward-thinking, embodying the company's drive towards next-generation banking solutions.

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 collaborate with a product team to ensure successful implementation of a machine learning model.
Describe your experience in programming with Python, Scala, or Java. Can you provide an example of a challenging project you tackled using one of these languages?
How do you approach designing an ML model from scratch? What steps do you follow to ensure it meets business needs?
Can you discuss a specific instance where you had to troubleshoot a model that wasn’t performing as expected? What actions did you take?
Imagine you are tasked with retraining a model that has shown a decline in accuracy. What steps would you take to analyze and improve the model's performance?
Consider a scenario where different teams are using conflicting data sources for their ML models. How would you resolve this conflict to ensure consistency?
What strategies do you use to maintain code quality and reduce vulnerabilities during the development of ML applications?
Why are you interested in working at Capital One specifically, and how do you see yourself aligning with our mission?
How would your understanding of responsible and explainable AI influence your approach to building machine learning models at Capital One?
What excites you about working in a part-time capacity for a role that involves significant technical responsibilities?
What are some key considerations when building production-ready data pipelines that you think are often overlooked?
How do you stay current with the latest developments and best practices in machine learning engineering?
What type of modeling techniques do you think are critical for ensuring the success of machine learning applications in the banking industry?

Job Details

Overview Company

Lead Machine Learning Engineer

$175.8k/y-$220.7k/y

Capital One

6 months ago

Highlight

OnsitePart-time6+ yearsSenior

Summary

Capital One is seeking a Lead Machine Learning Engineer to join their team in York, PA. The role involves productionizing machine learning applications and systems at scale, focusing on architectural design, development, and implementation.

About the Role

As a Lead Machine Learning Engineer, you will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You will participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Your responsibilities include designing, building, and delivering ML models and components, solving complex problems, collaborating with cross-functional teams, leveraging cloud-based architectures, and ensuring best practices in Responsible and Explainable AI.

About You

Required:

Bachelor’s degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Preferred:

Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years of experience developing performant, resilient, and maintainable code
2+ years of experience with data gathering and preparation for ML models
2+ years of people leader experience
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents

Benefits

Performance based incentive compensation, which may include cash bonuses and/or long term incentives
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being

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.

View our Social Media Community Guidelines https://www.capitalone.com/digital/social-media/

York, PA