Job Description The Role The Staff ML Engineer will be responsible for driving the vision, and execution of LiftIQ (Marketing Experimentation and Optimization Platform). This individual will be a technical leader and has expertise in building scalable Machine Learning data products for experimentation and optimization including experiment design, Statistical and ML models for measurement, optimization and personalization leveraging 1P/3P data sources. This person will collaborate with cross functional teams, including engineering, data science and UX/UI Design, to build and refine the platform that enable experimentation, measurement and optimization. This person will work closely with stakeholders in GMs vehicle brands, subscriptions, and customer care product, as well as the Performance Driven Marketing team to ensure business acceptance of models, metrics, visualization of experiment performance and optimization. They will be responsible for developing platforms, tools, and democratized capabilities that allow stakeholders and data scientists to identify marketing initiatives with high return on investment. Our team is focused on delivering future-focused, consumer-centric, personalized solutions that allow GM to stay proactive and nimble in our exciting transition to EVs. What Youll Do Work closely with the Data Scientists, Engineers and Product Owners to build a system that will help our marketing stakeholders optimize ROI. Design and engineer efficient and resilient ML platforms and software products that run at scale. Participate in design, architecture and code reviews, foster collaboration, and guide the team through roadmap deliverables and other technical challenges. Above all, you will work as a technical leader to provide our customers with great products while helping to grow a strong engineering team. Raise the bar of ML engineering by improving best practices, producing exemplary code, documentation, automated tests and thorough and precise monitoring. Possess contextual business knowledge and functional domain expertise in experimentation systems related to marketing, media, customer, digital channels, as well loyalty and subscription space, to drive incremental value. Drive a strategic roadmap with executable outcomes to provide business value and impact. Have strong stakeholder management skills, able to prioritize asks, and move requests from the point of curiosity and into realized data products, insights, and solutions. Possess knowledge of how to map data skills, techniques, and tools to problems. Lead and developing a team that can tackle diverse problems across the business, identifying strengths and weaknesses and allocating accordingly. Ensure an elevated level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. Additional Job Description Your Skills & Abilities (Required Qualifications) Bachelors degree in computer science, Data Science, Applied Mathematics, or related quantitative field, or equivalent combination of education and recent, relevant work experience. 5-8+ years of experience in full stack software development, machine learning, data science, or quantitative insights, and with data structures/algorithms. Strong programming skills in Python, Spark are necessary for implementing machine learning algorithms, data pipelines, and model development. Proficiency in full stack software development using react, custom visualization using d3. Expertise in Machine Learning Algorithms and Techniques: Comprehensive understanding of diverse machine learning algorithms, spanning supervised and unsupervised learning, deep learning, reinforcement learning, and ensemble techniques. 2+ years of experience successfully leading technical teams or work. Previous experience and examples building customer platforms and exhibiting platform and data governance. Understanding of the principles of causality and/or modeling of incrementality. Understanding of the basic principles of experimental design and analysis. Familiarity with models of customer lifetime value, retention, and churn. Prior experience managing and influencing stakeholders, analysts, architects, engineers, and other product owners building a similar capability. Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics. Strong drive for results and intellectual curiosity; must be a self-starter. Ability to train, mentor, and evaluate the technical capabilities of others. Prior experience evaluating and/or hiring high-performing talent. Strong project management skills with demonstrated success. Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality. Excellent team player with strong interpersonal skills and highly collaborative work style. Excellent oral, listening, presentation, and written communication skills. This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $157,800 and $241,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. #LI-CC1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We aspire to be the most inclusive company in the world. We believe we all must make a choice every day individually and collectively to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. Benefits Overview The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; Company and matching contributions to 401K savings plan to help you save for retirement; Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; Tuition assistance and student loan refinancing; Discount on GM vehicles for you, your family and friends. Diversity Information General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. Equal Employment Opportunity Statements GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.? We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company (https://search-careers.gm.com/en/working-at-gm/) Our Culture How we hire??????? (https://search-careers.gm.com/en/how-we-hire/) Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global location s The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Center 3 (19075), United States of America, McLean, Virginia Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: <ul> <li> The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: </li> <li> Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. </li> <li> Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). </li> <li> Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. </li> <li> Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. </li> <li> Retrain, maintain, and monitor models in production. </li> <li> Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. </li> <li> Construct optimized data pipelines to feed ML models. </li> <li> Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. </li> <li> Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. </li> <li> Use programming languages like Python, Scala, or Java. </li> </ul> Basic Qualifications: <ul> <li> Bachelor's degree </li> <li> At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) </li> <li> At least 4 years of experience programming with Python, Scala, or Java </li> <li> At least 3 years of experience building, scaling, and optimizing ML systems </li> <li> At least 2 years of experience leading teams developing ML solutions </li> </ul> Preferred Qualifications: <ul> <li> Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field </li> <li> Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform </li> <li> 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow </li> <li> 3+ years of experience developing performant, resilient, and maintainable code </li> <li> 3+ years of experience with data gathering and preparation for ML models </li> <li> 3+ years of people management experience </li> <li> ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents </li> <li> 3+ years of experience building production-ready data pipelines that feed ML models </li> <li> Ability to communicate complex technical concepts clearly to a variety of audiences </li> </ul> Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer Jobs in Richmond, VA

Senior Lead Machine Learning Engineer
September 11, 2024

Staff Machine Learning Engineer
September 11, 2024

Senior Lead Machine Learning Engineer
September 8, 2024

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Machine Learning Engineer Jobs in Richmond, VA

Senior Lead Machine Learning EngineerSeptember 11, 2024

Staff Machine Learning EngineerSeptember 11, 2024

Senior Lead Machine Learning EngineerSeptember 8, 2024

Quick filters

Top companies

Senior Lead Machine Learning Engineer
September 11, 2024

Staff Machine Learning Engineer
September 11, 2024

Senior Lead Machine Learning Engineer
September 8, 2024