Lead Mechanical Design Engineer jobs at Honeywell - 1989 jobs

A leading analytics firm in Chicago is seeking a Machine Learning Platform Engineer to set up and manage data science environments. The ideal candidate has a Master's or PhD in a quantitative field, strong programming skills, and experience in MLOps. You will work cross-functionally to drive analytic solutions and may oversee projects from design to execution. This hybrid role offers competitive compensation and a comprehensive benefits package. #J-18808-Ljbffr

Kodama Systems is a technology company transforming the forestry industry with teleoperation and supervised autonomy. With our retrofit control systems, machines can be driven from anywhere off project sites, improving safety, reducing costs, and addressing labor challenges across the $100B timber industry. Backed by leading investors and industry partners, Kodama's solutions offer timberland owners and logging contractors scalable, cost effective tools for forest management and wildfire mitigation. For more information, visit ************** The Position As a Senior Mechanical Engineer at Kodama you will own the design of custom hardware to outfit various forestry equipment for teleoperation and autonomy. You'll lean on past experience and work with our operations team to help debug complex robotic systems deployed in remote locations across North America. Kodama is a remote first early stage startup, so you will have a high degree of ownership and autonomy over the work you do. Location Remote Travel Up to 15% of your time going to company retreats and project sites Ideal Candidates Will Have Experience owning multiple mechanical designs from concept through deployment using the following processes: Sheet metal Weldments Machined parts Designed electrical enclosures Previously worked at a startup Around 5 years of post undergraduate experience Bonus Experience LIDAR Generous stock options. We're an early-stage company and we want you to benefit from being an early contributor. Flexible time off. Work hard and take time off when you need it. Stay healthy. Full health insurance benefits for you and your family. 401K savings plan Note - please attach a resume in either .pdf or .doc format. Due to the volume of inquiries, not all applicants will receive a response. #J-18808-Ljbffr

This position is accountable for planning, directing, and coordinating activities of designated project to ensure that goals or objectives of project are accomplished within prescribed time frame and funding parameters by performing the following duties personally or through subordinates, if applicable. The incumbent must have the ability and flexibility to work varying shifts, long hours (8-12 hours) and weekend hours according to project needs. The incumbent must support the guiding beliefs and core values of Orion, which are centered on Safety, Quality, Delivery, and Teamwork most importantly, with each built upon the all-important foundation of Integrity. SPECIFIC RESPONSIBILITIES Assists in the preparation and planning of pre-job meetings (examples: plans, specification, budgets, cost targets, scheduling, and others as necessary). Assists Project Manager(s) in the management of all assigned jobs. Reviews & processes shop drawings and submittals (including those from subcontractors), checking for accuracy when compared to drawings and specifications. Distributes all drawing revisions to Project Manager(s), Superintendent(s) and Subcontractors; and request new shop drawings from suppliers and subcontractors as necessary to match revisions. Prices all drawing revisions and Field Extra Work Tickets; review with Project Manager(s) and submit to General Contractor or client; update stick set and drawing log with each revision received. Maintains the RCO log and PM Submittal Log for each assigned project. Keeps all project schedules updated with actual durations for each task as compared to the original Base-Line Schedule; document all applicable delays (weather, GC, suppliers, others). Orders, ensures timely delivery, and reviews accuracy of materials such as rebar, shoring, forming, and post-tensioning. Contacts the Superintendent(s) on assigned job(s) frequently and visit job site(s) regularly to identify problems and assist in reaching solutions. Approves and codes assigned invoices, as requested by project manager. Tracks Manhours & Job Cost for all assigned jobs weekly. Meets with Superintendents to identify target cost to complete job under budget. Assists Project Manager(s) with End of Month Financial Reports for all assigned jobs. Prepares project reports for management, client, or others. Coordinates project activities with activities of government regulatory or other governmental agencies. All employees, current and former, must maintain confidentiality by not disclosing to others any confidential, proprietary or trade secret information belonging to the Company. EMPLOYEE SAFETY AND COMPLIANCE Responsible and accountable for incumbent's own personal safety. Responsible and accountable for the safety of all co-workers and any others incumbent encounters. Authorized and obligated to stop work on any task or series of tasks whenever an unsafe condition or situation is anticipated or is observed. Complies with all applicable laws, regulations and Company policies and procedures, and is subject to appropriate disciplinary action (including dismissal) for failure to do so. Reports violations of applicable laws, regulations or Company policies and procedures promptly, and is subject to appropriate disciplinary action (inluding dismissal) for failure to do so. Performs other related administrative and technical duties as may be assigned or requested by immediate supervision (such as certification training, safety training, procedure review, etc.). POSITION REQUIREMENTS A minimum of (1) year of construction related experience. BS Degree in Construction Management required or related discipline and field experience in commercial concrete construction, or equivalent combination of education and experience. In addition, the incumbent must have: Working knowledge of Project Engineer functions. Excellent computer skills including MS Office (Excel, Word, PowerPoint), MS Project, Adobe, construction drawings software (i.e., PlanGrid), and ability to learn new software systems as required for the position. Outstanding verbal and written communication skills with the ability to interact with employees at all levels, clients, vendors, and suppliers. Strong leadership skills with the ability to work well under pressure and high stress situations. Ability to manage multiple projects, meet tight deadlines, and adapt to changing work priorities. Problem solving, critical thinking, and analytical skills for project efficiency. Ability to work in different weather conditions (heat, cold, etc.) and office settings (office, trailer at the field, etc.). The Company expects and requires incumbent and each of its other employees to observe and fulfill the above and all other safety responsibilities and actively work toward maintaining a safe workplace. Failure to do so can result in disciplinary action, up to and including termination of employment. PHYSICAL/MENTAL REQUIREMENTS The incumbent must be able to perform the essential functions of the job with or without reasonable workplace accommodation. The individual must also be able to wear and properly utilize appropriate personal protective equipment (PPE) to work or visit within areas where it is required. This includes hard hat, safety glasses, respirators, ear plugs, steel toed shoes, or other protective equipment as required by the work performed and location the work is being done. This individual must also have the ability to identify critical issues and formulate action plans with all levels of management, including corporate and executive. The incumbent must possess the ability to remain calm during emergencies and respond appropriately as dictated by the circumstance of the incident and as directed by the Safety Representative or other management personnel. Must be capable of evacuating the work area in a timely manner should an emergency situation arise. Compensation & Benefits: An excellent compensation and benefits package is offered. Benefit plans include: Medical, including Prescription Drugs Dental Vision Life and AD&D Insurance Short Term and Long-Term Disability Insurance Employee Assistance Plan 401(k) Retirement Plan Paid Time Off for Vacation, Sick, Holidays, Jury Duty and Bereavement Leave Pre-Tax Health and Dependent Care Flexible Spending Accounts Career Growth & Development

* Bachelor's degree* At least 10 years of experience designing and building data-intensive solutions using distributed computing* At least 6 years of experience programming in C, C++, Python, or Scala* At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting* Master's Degree* 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models* 2+ years of experience using Dask, RAPIDS, or in High Performance Computing* 2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)* Ability to communicate complex technical concepts clearly to a variety of audiences* ML industry impact through conference presentations, papers, blog posts, or open source contributions* Ability to attract and develop high-performing software engineers with an inspiring leadership style Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

* 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.* Bachelor'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, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies* At least 4 years of experience programming with Python, Go, Scala, or Java* 6 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, delivering, and supporting AI services* 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 Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

"I can be myself at work." You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. "I can influence my income." You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses. "I can lead a full life." You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success. Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Lead AI AppSec Engineer at Capital Group" As a LeadAIAppSecEngineer,you will work with application teams to ensure the security of custom andprocured AI solutions.You willhelp enable Capital Group's AIstrategy bybuilding and/orprocuringsolutions toprotecta diverse set of enterprise AI platforms being built and deployed at Capital Group.You'llcollaborate with platformengineering, security engineering, and risk teams toensure their solutions support scalable, secureadoption of AI. Additionally,you'llbe expected toprovidementoring,advising diverse teams across the organization, andpromoting AI Securityprinciples across Capital Group. Secure AI Development Lifecycle:You willprocureand/or build technical solutionstoembedautomatedsecuritychecks intothe AI SDLC and ML-Ops. AI Threat Modeling:You will threat model complex Agentic and AI systems and design security requirementscollaborativelywith developers,architectsand business stakeholders Code analysis:You will review code for security vulnerabilities in the context of AI-driven systems Contribute to Standards and Policies:You will providethought leadership for Information Security policies and standards for AIin collaboration with technology risk AI/Agent SME:Youwill provide AI/Agent subject matterexpertisefor AI Incidentsand Security Reviews, and helpdevelop incident response playbooks for AI-related security incidents "I am the person Capital Group is looking for." You have 8+years ofexperience in information security, application security,platform security, orpenetration testing,DevSecOps, networksecurityand other security disciplines. You have strong knowledge ofsecurity of safety risks of Large Language Models and AI Agents(OWASP for LLM Top 10, etcetera) You have 5+ Years ofexperienceautomating security checks, including SAST, SCA, and DAST, directly into CI/CD pipelines You have extensive experience with STRIDE/other threat modeling frameworks, agile workflows, including Scrum and Kanban You areexperiencedin at least oneprogramming languages (Python, Java,.NET) You can effectively partner and collaborate with stakeholder teams. You have effective communication skills andthe abilityto outline security riskstoleadership. Preferred Qualifications: Youhave knowledge and experience with technologies including Kubernetes, Containers, CI/CD, and Cloud Service Providers You are familiar withfunctionand purpose of key AI platform components such as AI gateways (Kong, Databricks Mosaic AI Gateway, custom API orchestration), Model Orchestration (ExamplesLangChain,LlamaIndex, etc.) You are familiar withkey AI regulatory frameworks such as NIST AI RMF, MITRE ATLAS, GDPR, EU AI Act,etc You have Information Security certifications (CISSP, SANS GIAC, CISA, etc.) "I can apply in less than 4 minutes." You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community. "I can learn more about Capital Group." At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor. Southern California Base Salary Range: $226,893-$363,029San Antonio Base Salary Range: $186,525-$298,440New York Base Salary Range: $240,519-$384,830 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here . * Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

"I can be myself at work." You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. "I can influence my income." You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses. "I can lead a full life." You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success. Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Lead AI AppSec Engineer at Capital Group" As a LeadAIAppSecEngineer,you will work with application teams to ensure the security of custom andprocured AI solutions.You willhelp enable Capital Group's AIstrategy bybuilding and/orprocuringsolutions toprotecta diverse set of enterprise AI platforms being built and deployed at Capital Group.You'llcollaborate with platformengineering, security engineering, and risk teams toensure their solutions support scalable, secureadoption of AI. Additionally,you'llbe expected toprovidementoring,advising diverse teams across the organization, andpromoting AI Securityprinciples across Capital Group. Secure AI Development Lifecycle:You willprocureand/or build technical solutionstoembedautomatedsecuritychecks intothe AI SDLC and ML-Ops. AI Threat Modeling:You will threat model complex Agentic and AI systems and design security requirementscollaborativelywith developers,architectsand business stakeholders Code analysis:You will review code for security vulnerabilities in the context of AI-driven systems Contribute to Standards and Policies:You will providethought leadership for Information Security policies and standards for AIin collaboration with technology risk AI/Agent SME:Youwill provide AI/Agent subject matterexpertisefor AI Incidentsand Security Reviews, and helpdevelop incident response playbooks for AI-related security incidents "I am the person Capital Group is looking for." You have 8+years ofexperience in information security, application security,platform security, orpenetration testing,DevSecOps, networksecurityand other security disciplines. You have strong knowledge ofsecurity of safety risks of Large Language Models and AI Agents(OWASP for LLM Top 10, etcetera) You have 5+ Years ofexperienceautomating security checks, including SAST, SCA, and DAST, directly into CI/CD pipelines You have extensive experience with STRIDE/other threat modeling frameworks, agile workflows, including Scrum and Kanban You areexperiencedin at least oneprogramming languages (Python, Java,.NET) You can effectively partner and collaborate with stakeholder teams. You have effective communication skills andthe abilityto outline security riskstoleadership. Preferred Qualifications: Youhave knowledge and experience with technologies including Kubernetes, Containers, CI/CD, and Cloud Service Providers You are familiar withfunctionand purpose of key AI platform components such as AI gateways (Kong, Databricks Mosaic AI Gateway, custom API orchestration), Model Orchestration (ExamplesLangChain,LlamaIndex, etc.) You are familiar withkey AI regulatory frameworks such as NIST AI RMF, MITRE ATLAS, GDPR, EU AI Act,etc You have Information Security certifications (CISSP, SANS GIAC, CISA, etc.) "I can apply in less than 4 minutes." You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community. "I can learn more about Capital Group." At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor. Southern California Base Salary Range: $226,893-$363,029San Antonio Base Salary Range: $186,525-$298,440New York Base Salary Range: $240,519-$384,830 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here . * Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

"I can be myself at work." You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. "I can influence my income." You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses. "I can lead a full life." You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success. Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Lead AI AppSec Engineer at Capital Group" As a LeadAIAppSecEngineer,you will work with application teams to ensure the security of custom andprocured AI solutions.You willhelp enable Capital Group's AIstrategy bybuilding and/orprocuringsolutions toprotecta diverse set of enterprise AI platforms being built and deployed at Capital Group.You'llcollaborate with platformengineering, security engineering, and risk teams toensure their solutions support scalable, secureadoption of AI. Additionally,you'llbe expected toprovidementoring,advising diverse teams across the organization, andpromoting AI Securityprinciples across Capital Group. Secure AI Development Lifecycle:You willprocureand/or build technical solutionstoembedautomatedsecuritychecks intothe AI SDLC and ML-Ops. AI Threat Modeling:You will threat model complex Agentic and AI systems and design security requirementscollaborativelywith developers,architectsand business stakeholders Code analysis:You will review code for security vulnerabilities in the context of AI-driven systems Contribute to Standards and Policies:You will providethought leadership for Information Security policies and standards for AIin collaboration with technology risk AI/Agent SME:Youwill provide AI/Agent subject matterexpertisefor AI Incidentsand Security Reviews, and helpdevelop incident response playbooks for AI-related security incidents "I am the person Capital Group is looking for." You have 8+years ofexperience in information security, application security,platform security, orpenetration testing,DevSecOps, networksecurityand other security disciplines. You have strong knowledge ofsecurity of safety risks of Large Language Models and AI Agents(OWASP for LLM Top 10, etcetera) You have 5+ Years ofexperienceautomating security checks, including SAST, SCA, and DAST, directly into CI/CD pipelines You have extensive experience with STRIDE/other threat modeling frameworks, agile workflows, including Scrum and Kanban You areexperiencedin at least oneprogramming languages (Python, Java,.NET) You can effectively partner and collaborate with stakeholder teams. You have effective communication skills andthe abilityto outline security riskstoleadership. Preferred Qualifications: Youhave knowledge and experience with technologies including Kubernetes, Containers, CI/CD, and Cloud Service Providers You are familiar withfunctionand purpose of key AI platform components such as AI gateways (Kong, Databricks Mosaic AI Gateway, custom API orchestration), Model Orchestration (ExamplesLangChain,LlamaIndex, etc.) You are familiar withkey AI regulatory frameworks such as NIST AI RMF, MITRE ATLAS, GDPR, EU AI Act,etc You have Information Security certifications (CISSP, SANS GIAC, CISA, etc.) "I can apply in less than 4 minutes." You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community. "I can learn more about Capital Group." At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor. Southern California Base Salary Range: $226,893-$363,029San Antonio Base Salary Range: $186,525-$298,440New York Base Salary Range: $240,519-$384,830 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here . * Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

The Cognitive and Generative-AI Engineering team, part of the Enterprise Data and Information Management (EDIM) department, is responsible for developing and implementing AI-driven solutions that enhance and scale AI adoption across Navy Federal Credit Union. This is a pivotal role in the AI Center for Enablement, leading the design and implementation of cutting-edge AI systems. This role leverages and adapts state-of-the-art large language models (LLMs) to solve complex business problems and identifies opportunities to build modular and reusable components. The incumbent will collaborate with ETS (Enterprise Technology Services) and Business partners including Enterprise Architecture, Enterprise AI Strategy, and the AI Working Group to build and drive solutions. They will provide delivery and ongoing support for NFCU's data science, advanced analytics, and augmented intelligence technologies, executing on the strategic vision and ensuring the successful implementation of AI initiatives across the organization. Successful candidates will exhibit excellent problem-solving skills, effective communication and analytical skills, as well as strong leadership qualities. Responsibilities As a key member of the AI Center for Enablement (C4E), provide platform, engineering, and enablement services to drive the adoption and utilization of Generative AI capabilities, fostering technological innovation and improving member experience through foundational AI capabilities. Develop AI standards and best practices and establish processes for curating and registering AI models into Model Garden, ensuring compliance with regulatory and security standards throughout the model lifecycle. Define, publish and socialize technology roadmaps for AI/ML enabled capabilities supporting business use cases and outcomes. Partner with senior EDIM, technology product, and engineering leaders to shape and contribute to the strategic goals and direction needed to continuously evolve NFCU's AI Center For Enablement capabilities. Lead and support enterprise developer productivity initiatives by leveraging AI-assisted coding assistants and creating chatbots for IT to drive efficiencies, navigating a complex environment with various tools and programming languages, and ensuring adoption and productivity gains across the organization. Design, develop and deploy AI Engineering solutions with a focus on enabling AI governance, incorporating automated ground truth validation processes, toxicity filters, and transparency measures. Curate, process and augment high-quality multimodal data while integrating RAG for robust model grounding and improved accuracy. Develop AI chatbots or agents by adapting task-oriented LLM models fine-tuned to meet NFCU-specific domains and evaluate model outcomes to ensure accuracy, reduce significant hallucinations, and assure compliance. Partner with business stakeholders to evaluate commercial AI solutions against custom-built options and deliver data-driven Build vs. Buy recommendations that balance technical capabilities, costs, reusability, and strategic business outcomes. Build and maintain strategic partnerships with technology vendors and professional services firms specializing in advanced analytics, generative AI, and natural language processing (NLP) to drive NFCU value outcomes. Build core engineering competencies in GPT algorithms, data ingestion for Large Language Models (LLMs), prompt engineering, and NLP/Chatbot interface construction. Qualifications Bachelor's degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field. Experience with building and configuring a foundational GenAI platform including Model Garden, LLM model curation, prompt engineering, and setting up operational Governance controls. Experience with creating and publishing AI Standards, Best Practices, Architecture is required. Proven track record of driving and coordinating use of GenAI Code Assistants (GitHub Copilot, etc.) to drive Developer Productivity initiatives across the organization with clear value metrics. Hands-on experience building production grade AI agents using industry leading platforms (Azure AI Foundry, etc.). Experience with data platforms (Databricks, etc.) and organizing, cataloging and chunking of unstructured data for scalable Generative-AI solutions and robust knowledge management. Hands-on experience leveraging advanced techniques including Retrieval Augmented Generation to drive model accuracy, minimize hallucinations, and ground the model in facts, specifically when building AI Chatbots. Experience with vector stores and graph databases for managing complex relationships to use in AI applications such as recommendation systems. Robust experience in Azure AI/Data solutions and a deep understanding of the evolving AI landscape, with proven track record in API integrations for accessing LLMs. Strong leadership capabilities with experience collaborating with cross functional teams and leading, and engaging teams. Working knowledge of Scaled Agile delivery approaches, Azure DevOps, and general CI/CD concepts. Strong communication and presentation skills to explain designs and solutions to business and technical stakeholders. Solid experience with Python and SQL required. Desired Qualifications Master's in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field. 7 years of experience in advanced AI/ML technologies. Experience working in an AI Center for Enablement. Experience with AI Governance and LLM Security methods. Experience with AIOps, Cost Scaling and model performance tuning. Knowledge of Navy Federal Credit Union instructions, standards, and procedures. Hours: Monday - Friday, 8:00AM - 4:30PM Location: 820 Follin Lane, Vienna, VA 22180 About Us Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion.* Fortune 100 Best Companies to Work For 2025* Yello and WayUp Top 100 Internship Programs* Computerworld Best Places to Work in IT* Newsweek Most Loved Workplaces* 2025 PEOPLE Companies That Care* Newsweek Most Trustworthy Companies in America* Military Times 2025 Best for Vets Employers* Best Companies for Latinos to Work for 2024* Forbes 2025 America's Best Large Employers* Forbes 2025 America's Best Employers for New Grads* Forbes 2025 America's Best Employers for Tech Workers* 2025 RippleMatch Campus Forward Award Winner for Overall Excellence* Military.com Top Military Spouse Employers 2025* 2025 Handshake Early Talent AwardFrom Fortune . 2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr