Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. * Engineer AI-Driven Controls:
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. * Engineer AI-Driven Controls:
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. * Engineer AI-Driven Controls:
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. * Engineer AI-Driven Controls:
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. * Engineer AI-Driven Controls:
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. * Engineer AI-Driven Controls:
Senior Lead AI Engineer (MLXT)
Mclean, VA · On-site
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. * Engineer AI-Driven Controls:
Senior Lead AI Engineer (MLXT)
Mclean, VA · On-site
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. * Engineer AI-Driven Controls:
Architect
New York, NY · On-site
Preferred Qualifications- Experience with cloud-native AI services (e.g., model hosting, autoML, vector search, GPU workloads).- Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker Pipelines ...
Architect
New York, NY · On-site
Preferred Qualifications- Experience with cloud-native AI services (e.g., model hosting, autoML, vector search, GPU workloads).- Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker Pipelines ...
Senior Lead AI Engineer (MLXT)
Manhattan, NY · On-site
$250.80 - $286.20/hr
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. * Engineer AI-Driven Controls:
Senior Lead AI Engineer (MLXT)
Manhattan, NY · On-site
$250.80 - $286.20/hr
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. * Engineer AI-Driven Controls:
Senior Lead AI Engineer (MLXT)
Mclean, VA · On-site
$229.90 - $262.40/hr
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days.* Engineer AI-Driven Controls:
Senior Lead AI Engineer (MLXT)
Mclean, VA · On-site
$229.90 - $262.40/hr
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days.* Engineer AI-Driven Controls:
Senior Google Cloud Architect
Milpitas, CA · On-site
$74 - $94.25/hr
AutoML * AI Platform * Document AI * Vision AI * Speech-to-Text * Natural Language AI * AI Agents & Conversational AI Generative AI * Large Language Models (LLMs) * Prompt Engineering * RAG ...
Senior Google Cloud Architect
Milpitas, CA · On-site
$74 - $94.25/hr
AutoML * AI Platform * Document AI * Vision AI * Speech-to-Text * Natural Language AI * AI Agents & Conversational AI Generative AI * Large Language Models (LLMs) * Prompt Engineering * RAG ...
Data Scientist-GCP platform
Atlanta, GA · Hybrid
$58/hr
Leverage Vertex AI (AutoML, custom training, BigQuery ML) for scalable model development. * Generative AI & LLM Applications * Develop and deploy generative AI use cases using Vertex AI and Gemini
Quick apply
Data Scientist-GCP platform
Atlanta, GA · Hybrid
$58/hr
Leverage Vertex AI (AutoML, custom training, BigQuery ML) for scalable model development. * Generative AI & LLM Applications * Develop and deploy generative AI use cases using Vertex AI and Gemini
Data Engineer
Malvern, PA · On-site
$112K - $134K/yr
... AutoML, HyperDrive, and Model Registry for experimentation and tracking. • Leverage Azure Functions, Logic Apps, and Event Hubs for event-driven data processing. • Automate data workflows and ...
Data Engineer
Malvern, PA · On-site
$112K - $134K/yr
... AutoML, HyperDrive, and Model Registry for experimentation and tracking. • Leverage Azure Functions, Logic Apps, and Event Hubs for event-driven data processing. • Automate data workflows and ...
Senior Data Scientist
Saint Louis, MO · On-site
$90 - $120/hr
You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business ...
Senior Data Scientist
Saint Louis, MO · On-site
$90 - $120/hr
You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business ...
Senior Data Scientist
Saint Louis, MO · On-site
You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business ...
Senior Data Scientist
Saint Louis, MO · On-site
You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business ...
You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business ...
You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business ...
Senior Data Scientist
Saint Louis, MO · On-site
You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business ...
Quick apply
Senior Data Scientist
Saint Louis, MO · On-site
You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business ...
Architect (ATC)
New York, NY · On-site
Preferred Qualifications - Experience with cloud-native AI services (e.g., model hosting, autoML, vector search, GPU workloads). - Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker Pipelines ...
Architect (ATC)
New York, NY · On-site
Preferred Qualifications - Experience with cloud-native AI services (e.g., model hosting, autoML, vector search, GPU workloads). - Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker Pipelines ...
Compliance - Quant Analytics Manager - Vice President
Manhattan, NY · On-site
$120 - $160/hr
... automl, Optuna, Hyperopt), Visualization Packages (Matplotlib, Seaborn, Geopandas), Algorithm (Ensemble Louvian / Hierarchical Clustering, Label Propagation, Connected Component Analysis, Graph ...
Compliance - Quant Analytics Manager - Vice President
Manhattan, NY · On-site
$120 - $160/hr
... automl, Optuna, Hyperopt), Visualization Packages (Matplotlib, Seaborn, Geopandas), Algorithm (Ensemble Louvian / Hierarchical Clustering, Label Propagation, Connected Component Analysis, Graph ...
Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc * Skilled in evaluating and monitoring the performance of AI technology in ...
Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc * Skilled in evaluating and monitoring the performance of AI technology in ...
Data Scientist
Tampa, FL · On-site
Drive continuous model improvement - benchmark new algorithms, evaluate AutoML approaches, and run controlled experiments to improve MAPE, bias, and coverage metrics * Partner with data and platform ...
Data Scientist
Tampa, FL · On-site
Drive continuous model improvement - benchmark new algorithms, evaluate AutoML approaches, and run controlled experiments to improve MAPE, bias, and coverage metrics * Partner with data and platform ...
Sr. Marketing & Business Analyst - Marketing
Dallas, TX · On-site
Medical
Dental
Vision
Life
Retirement
PTO
Familiarity with AutoML technologies or advanced analytics platforms We saved the best for last. In exchange for the dynamic contribution you'll bring to our team, we offer: * Competitive salary
Sr. Marketing & Business Analyst - Marketing
Dallas, TX · On-site
Medical
Dental
Vision
Life
Retirement
PTO
Familiarity with AutoML technologies or advanced analytics platforms We saved the best for last. In exchange for the dynamic contribution you'll bring to our team, we offer: * Competitive salary
Staff Software Engineer-Front End
Mountain View, CA · On-site
$202K - $274K/yr
Proficient in building functional AI models using techniques such as prompting and AutoML * Skilled in monitoring the performance of models in production and making necessary adjustments to ensure ...
Staff Software Engineer-Front End
Mountain View, CA · On-site
$202K - $274K/yr
Proficient in building functional AI models using techniques such as prompting and AutoML * Skilled in monitoring the performance of models in production and making necessary adjustments to ensure ...
Automl information
What is AutoML?
AutoML, or Automated Machine Learning, refers to the process of automating the end-to-end tasks of applying machine learning to real-world problems. This includes steps like data preprocessing, feature selection, algorithm selection, and hyperparameter tuning. AutoML tools are designed to make machine learning more accessible to non-experts and to improve efficiency for experts by reducing the manual effort and expertise needed to build effective models. Popular AutoML platforms include Google Cloud AutoML, H2O AutoML, and Auto-sklearn.
What are the key skills and qualifications needed to thrive as an AutoML engineer, and why are they important?
To thrive as an AutoML Engineer, you need strong proficiency in machine learning, data science, and programming (often Python), typically supported by a degree in computer science, data science, or a related field. Familiarity with AutoML platforms (such as Google AutoML, H2O.ai, or AutoKeras), cloud services, and experience with ML frameworks like TensorFlow or scikit-learn are essential. Analytical thinking, problem-solving abilities, and effective communication help you translate business needs into automated solutions and collaborate with cross-functional teams. These skills are vital for efficiently developing robust, scalable machine learning pipelines that accelerate model deployment and drive business value.
What are some common challenges faced by professionals working in AutoML roles, and how can they be addressed?
Professionals in AutoML roles often encounter challenges related to automating complex machine learning workflows, ensuring model interpretability, and managing large-scale data pipelines. Balancing automation with customization to meet specific business needs can be tricky, as off-the-shelf solutions may not fit every scenario. Collaborating closely with data scientists, engineers, and domain experts helps in customizing AutoML solutions and overcoming integration issues. Staying updated on the latest tools and frameworks and continuously testing models in production are also essential for success.
What is the difference between Automl vs Data Scientist?
| Aspect | Automl | Data Scientist |
|---|---|---|
| Required Credentials | Typically certifications in machine learning, data analysis, or related tools | Degree in data science, statistics, computer science, or related fields |
| Work Environment | Focus on developing and deploying automated machine learning models, often in tech or AI companies | Analyze data, build models, and generate insights across various industries |
| Employer & Industry Usage | Used by companies seeking scalable ML solutions, including tech, finance, and healthcare | Employed across industries for data analysis, predictive modeling, and decision support |
Automl focuses on automating machine learning processes, making it easier to develop models without extensive coding. Data Scientists, however, perform in-depth data analysis, model building, and interpretation. While Automl tools assist Data Scientists, their roles differ in scope and expertise required.
More about Automl jobs
What are the most commonly searched types of Automl jobs?
The most popular types of Automl jobs are:
What job categories do people searching Automl jobs look for?
The top searched job categories for Automl jobs are:
Capital One rating
7.7
Based on 147 frontline employees who took The Breakroom Quiz
92nd of 171 rated banks
Job description
Senior Lead AI Engineer (MLXT)
Overview:
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
As a Senior Lead AI Engineer, you will drive critical technical initiatives that shape the future of enterprise AIML infrastructure targeted to transform the business analysis experience in a highly regulated environment. You will play a pivotal role in modernizing our core Analyst & AIML workflow orchestration layer and user interface, integrating frontier generative AI capabilities and self-serve tooling to enable no-code/low-code, well-governed model development for business domain experts.
In this role, you will:
Modernize Workflows: Advance the orchestration layer and UI with generative AI capabilities and self-serve tooling to democratize AI development through governed, low-code/no-code tools for business domain experts.
Build Agentic-Driven Infrastructure: Modernize our platform services with agentic infrastructure that is reliable, scalable, secure, and seamlessly adheres to enterprise guardrails.
Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days.
Engineer AI-Driven Controls: Evolve the core component marketplace by engineering cutting-edge, automated governance frameworks
The Ideal Candidate:
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
Basic Qualifications:
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java
Preferred Qualifications:
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
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.
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI EngineerCandidates 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).
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