Senior Electrical Engineer jobs at Honeywell - 1608 jobs

Advanced PLC Controls Engineer
Honeywell 4.5
Senior electrical engineer job at Honeywell
**_Honeywell changes the way the world works._** When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future. For more than 130 years, we've solved the toughest customer challenges through a rare combination of our industrial expertise and our innovations in groundbreaking software and technology, and industry-leading automation. **_Are you ready to help us make the future?_** **At Honeywell Intelligrated (IGS),** we value innovation and strive to develop cutting-edge solutions for our clients, offering one of the broadest portfolios of advanced automation technologies and software in the industry - from conventual solutions to the latest warehouse integrated robotics, to hybrid solutions that combine the strengths of multiple technologies. Intelligrated provides intelligent automated material handling solutions, Integrated Robotics & Vision systems that optimize supply chain performance. Our advanced systems integrate cutting-edge technologies, robotics, software, artificial intelligence, IoT applications and controls to enhance productivity and efficiency in supply chain and fulfillment operations. **Join Honeywell Intelligrated and help engineer the future of intelligent Automation.** **As an Advanced PLC Controls Engineer** here at Honeywell Intelligrated, you'll work on cutting-edge technologies - from ControlLogix platforms used for High-speed sortation systems to AI-powered Robotics, Vision Systems, and cloud-integrated controls - that are transforming how warehouses operate. You will play an integral role in implementing electrical controls projects, serving as the lead for an integrated system or sub-systems. In additional to hands-on technical implementation, you may support planning, reporting and management of projects - taking ownership of the Controls program elements and execute and/or delegates individual tasks throughout the project life cycle. In this role, you will take a systems approach in understanding core design features, project elements, overall electrical architecture and ensure the delivery of projects on schedule and within scope and budget - maintaining internal and external customer expectations throughout the project life cycle. **Why This Role Matters** + **Real-World Impact:** Your work powers mission-critical systems for global leaders in supply chain, logistics and distribution. + **Innovation in Action:** Be part of a team that's deploying AI co-pilots, 5G-enabled automation, and multi-modal intelligent agents to boost productivity and safety across industries. + **Customer-Centric Engineering:** Collaborate directly with clients to design and implement solutions that align with their KPIs, reduce downtime, and future-proof operations. **Key Responsibilities** + Acts as a Lead Engineer or as an Engineering Team Member, handling multiple projects with little or no supervision. + Lead automation projects for material handling customers. Develop and implement PLC code for material handling systems. + Provides planning, reporting, and technical management for the PLC Controls Engineering portion of projects. + Executes all test plans on-site, both internal and customer acceptance/BUAT/UAT/FAT. + Assess programming and commissioning methods to ensure development of standard coding are met with Intelligrated standards + Collaborate with engineering teams + Works closely with other engineering functional teams and manages the scope, budget, and schedule. + Demonstrates and recognizes project success from multiple levels of financial, technical, and timeline management responsibilities. + Execute project tasks + Prepare or update reports and documentation + Apply prescriptive methodology to project tasks + Attends weekly team meetings; reviews scheduled tasks/timelines + Maintains internal and external customer expectations throughout the project life cycle. **YOU MUST HAVE** + Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics + 4-7+ years of Controls Engineering Experience in a similar role + Ability and willingness to travel up 60+% of the time + Experience in some of the following: + Programmable Logic Controller (PLC) Programming and Electrical Design: + Allen-Bradley, Siemens, Beckhoff Programmable Logic Controllers + Codesys and ladder logic programming + Servos and motion control experience + Variable Frequency Drive (VFD) programming and setup + Network Protocols - Serial, Ethernet IP, Profinet + Warehouse control system software interface and protocols + Human-machine Interface system design - Aveva Edge, Rockwell FTV studio, Ignition + Scanner and Machine vision system interface **WE VALUE** + Bachelor's Degree in Electrical Engineering, Controls Engineering or related. + Experience with E-Commerce Material Handling Systems is of value. + Capability to apply broad knowledge of one professional discipline or advanced knowledge of specific technical/operational practices + Self-motivated and able to work with little supervision, by consistently taking the initiative to get things done + Capability to update or modify working methods in your role by following defined procedures + Project planning and budgeting + Effective writing and verbal skills + Interest and skill to collaborate with engineering functional teams + Ability to consistently make timely decisions even in the face of complexity + Dexterity to evaluate and recommend technical solutions based on standard or accepted technical practices + Capable of handling high-risk projects. **Experience in some of the following Tools and Software is of value** :- Logix 5000, Studio 5000, ZoneFlex Configurator, RSLinx, FactoryTalk View, B&R Automation Studio, AutoCAD, AutoCAD Electrical, SST Profibus Configuration tool, Ignition, SOPAS, Datalogic DataMan. Siemens TIA portal, Beckhoff and Schneider, Auto CAD Electrical, Auto CAD, BOM Generation, schematic design, panel design **THE BUSINESS UNIT** **Honeywell Intelligrated (IGS)** is a global leader in automation and integrated end-to-end solutions for manufacturing, distribution and fulfillment operations. IGS develops and deploys advanced automation equipment, robotics, software, analytics, warehouse execution systems and lifecycle services that enable companies to meet increasing e-commerce demand, address labor challenges and keep workers safe. Intelligrated leverages cutting-edge technologies, including robotics, artificial intelligence, and data analytics, to optimize operations and improve the overall customer experience. With a commitment to innovation, Intelligrated offers a comprehensive range of products and services, including conveyor systems, automated storage and retrieval systems, and software solutions that enable real-time visibility and control over supply chain processes. **BENEFITS OF WORKING FOR HONEYWELL** In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays .For more Honeywell Benefits information visit: ******************************* _The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: Jan 3rd, 2025._ Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
$63k-84k yearly est. 60d+ ago

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Staff Backend Engineer, Payments - Scale Secure APIs
Goodleap 4.6
San Francisco, CA jobs
A technology company focusing on sustainability is seeking a Staff Software Engineer to enhance their payments technology. In this role, you will design and build robust payment systems while collaborating with cross-functional teams. Ideal candidates will have over 7 years of back-end development experience, particularly with Node.js and TypeScript. The role, based in San Francisco, offers a competitive salary ranging from $173,000 to $200,000, plus potential bonuses and equity. Join a passionate team committed to impactful projects. #J-18808-Ljbffr
$173k-200k yearly 4d ago
Senior/Staff Fullstack Engineer
Booster 4.1
Mountain View, CA jobs
Who we are Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world's first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation. The company's proprietary Level 4 autonomous technology, Gatik Carrier, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations. About the role We're looking for a Senior or Staff Fullstack Engineer to lead the development of key features powering Gatik's fleet management software. You'll work across the stack - owning mission-critical systems that support real-time vehicle tracking, operational insights, and logistics automation. This role involves close collaboration with product, design, and data teams to deliver performant APIs, scalable backend services, and intuitive interfaces for internal and customer-facing users This role is onsite 5 days a week at our Mountain View, CA office!What you'll do Architect scalable systems, develop, and maintain end-to-end features across React (frontend) and Node.js (backend) stacks. Lead technical design and delivery for Gatik's fleet management platform, supporting real-time vehicle telemetry, asset tracking, and dispatch operations. Design, implement and document robust APIs to support multi-tenant SaaS operations, real-time data flows, and customer integrations Own the full development lifecycle - design, implementation, testing, deployment, and monitoring - for core platform features. Implement secure authentication and authorization flows, including SSO/OIDC/SAML and role-based access control (RBAC). Monitor and improve system performance, uptime, and telemetry freshness, ensuring high reliability for critical fleet operations. Collaborate with product managers and UX designers to translate complex operational workflows into usable, performant software. Continuously evolve the tech stack, CI/CD workflows, and tooling in coordination with infrastructure and DevOps teams. Contribute to a culture of code quality, technical rigor, and engineering best practices. What we're looking for 6+ years of fullstack engineering experience. Bachelor's degree in Computer Science, Engineering, or a related technical field. Deep expertise in React, Node.js, NestJS, and TypeScript. Proven experience designing and scaling SaaS platforms with an emphasis on real-time data, robust backend APIs, and system reliability. Strong frontend skills in responsive UI design, state management, and component architecture. Experience with microservices, REST/GraphQL APIs, and data modeling for operational and high-throughput systems. Proficiency with CI/CD pipelines, Docker, Kubernetes, and modern observability tools. Experience with mapping and geospatial APIs (e.g., Google Maps, Mapbox). Familiarity with Azure, Postgres, Redis, and RabbitMQ. Knowledge of enterprise authentication standards, including SSO, OIDC, and SAML. Background in fleet operations, dispatch systems, or logistics planning is a plus. Prior experience in startups or high-growth SaaS environments is highly valued. Salary Range- $150,000- $220,000 More about Gatik Founded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory toward sustainable growth and profitability. We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile - with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik's well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations. Visit us at Gatik for more company information and Careers at Gatik for more open roles. Notable News Forbes: Forget robotaxis. Upstart Gatik sees middle-mile deliveries as the path to profitable AVs Tech Brew: Gatik AI exec unpacks the regulations that could shape the AV industry Business Wire: Gatik Paves the Way for Safe Driverless Operations (‘Freight-Only') at Scale with Industry-First Third-Party Safety Assessment Framework Auto Futures: Autonomous Trucking Group Gatik Secures Investment From NIPPON EXPRESS HOLDINGS Automotive News: Gatik foresees hundreds of self-driving trucks on road soon, and that's just the beginning Forbes: Isuzu And Gatik Go All In To Scale Up Driverless Freight Services Bloomberg: Autonomous Vehicle Startup Takes Off by Picking Off Easier Routes Reuters: Driverless vehicles on limited routes bump along despite US robotaxi scrutiny Taking care of our team At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment's sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility. We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. #J-18808-Ljbffr
$150k-220k yearly 4d ago
Senior Backend Engineer - Fintech, Cloud-Native & Real-Time
Peak6 Investments LLC 4.6
Chicago, IL jobs
A fintech company is seeking a Senior Software Engineer in Chicago to design and maintain backend systems and build microservices for their Margin product. This role requires solid experience in Java and distributed systems, with responsibilities including API development and systems design. A competitive salary range of $123,000 to $153,750 and a hybrid working environment are offered. You will also mentor junior engineers and collaborate with cross-functional teams, ensuring the delivery of reliable solutions. #J-18808-Ljbffr
$123k-153.8k yearly 3d ago
Senior Infra Engineer - Multi-Tenant Container Platform
Julius 4.3
San Francisco, CA jobs
An AI technology firm based in San Francisco is looking for a candidate to build and scale their code-execution platform across cloud and on-prem environments. In this role, you will be responsible for designing a secure multi-tenant container infrastructure and driving observability practices. The ideal candidate should possess strong skills in Kubernetes and cloud technologies, including production container internals. Benefits include competitive salary and meaningful equity. #J-18808-Ljbffr
$117k-148k yearly est. 3d ago
Senior Cloud Detection Engineer
Bank of America 4.7
Washington, DC jobs
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in‑office culture with specific requirements for office‑based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role‑specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: Bank of America is looking for an experienced Cloud Detection Engineer to join our Cyber Security Operations team. The ideal candidate will use their deep knowledge of security controls, tools, features, and operations for AWS to implement and enhance detective capabilities for a fully managed AWS environment. The candidate should be intellectually curious about technology and the evolving threat landscape and willing to actively engage and triage. This role exists at the intersection of detection engineering and operations and will focus primarily on developing and tuning AWS detections while maintaining close operational alignment with the SOC by providing complex escalation support to ensure detections are effective and actionable. This will include building a detection engineering lifecycle and culture for a SIEM platform covering on‑prem and multi‑cloud environments while serving as a technical subject matter expert for the AWS environment. The ideal candidate will partner with teams across Global Information Security to design, develop, tune, and maintain detection content to protect the Bank and support the Bank's information security policies and/or procedures. Responsibilities Design, build, and tune AWS security detections using Splunk Reduce false positives and improve alert fidelity Partner with cloud and security teams to increase detection coverage Translate threat scenarios into actionable detections Act as L2 escalation support for complex AWS‑related alerts Validate and investigate high‑risk findings Provide feedback and guidance to L1 analysts Use real investigations to continuously improve detection logic Skills and Experience Minimum of eight (8) or more years relevant Cyber Security experience with at least five (5) years in Cloud SOC and/or Purple Team roles. Highly organized and motivated self‑starter who can deliver results with minimal direction. Experience writing and tuning detections. Experience with SIEM tools including Splunk. Experience designing and implementing technical solutions to enhance visibility, alerting capabilities, and reduce risk within AWS. Experience reviewing applications, infrastructure, and architectural designs to identify threats and vulnerabilities. Experience with a range of AWS native services and tools (i.e. Guard Duty, CloudTrail, Security Hub) Understanding of threat frameworks, such as MITRE ATT&CK for Cloud and D3FEND. Understanding of Risk Management principles. Experience in building, configuring, operating and/or securing cloud infrastructure and applications in AWS with either native cloud service provider capabilities or 3rd party vendor tools. Ability to independently assess risks and identify vulnerabilities in infrastructure with an eagerness to suggest new processes, policies, and overall improvements to internal security controls. Experience partnering with incident response teams, threat intelligence researchers, Red/Purple teams, and/or HUNT researchers. Familiarity with common Information Security and data protection frameworks and standards (i.e. CIS, NIST, HIPAA, GDPR, PCI DSSS, ISO 270001). Ability to navigate and collaborate effectively within a geographically complex and dispersed global corporation. Excellent verbal and written communication skills with ability to distill key data points and effectively present information. Preferable Certifications/Degrees CCSP / CCSK CISSP / CISM / Security + Bachelor's or Master's Degree in Computer Science, Information Systems, Cyber Security, or related field. Skills Influence Result Orientation Solution Design Stakeholder Management Technical Strategy Development Cyber Security Information Systems Management Risk Management Solution Delivery Process Collaboration Critical Thinking DevOps Practices Test Engineering Shift 1st shift (United States of America) Hours Per Week 40 Pay Transparency Details US - CO - Denver - 1144 15th St - Denver Gis (CO9926), US - DC - Washington - 1800 K St NW - 1800 K Street NW (DC1842), US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540) Pay Range $150,000.00 - $190,700.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits This role is currently benefits eligible. We provide industry‑leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. #J-18808-Ljbffr
$150k-190.7k yearly 4d ago
Senior GenAI Engineer: Scalable AI & Data Pipelines
Arrowstreet Capital, Limited Partnership 4.0
Boston, MA jobs
A systematic investment firm in Boston is seeking a Senior AI Software Engineer to design and develop innovative AI solutions. Candidates should have substantial experience with Python and machine learning, alongside strong analytical and collaboration skills. The role involves integrating diverse data sources and optimizing AI systems for performance and scalability. This position offers a competitive salary range between $115,000 and $325,000 per year. #J-18808-Ljbffr
$94k-119k yearly est. 3d ago
Senior Cloud Detection Engineer (AWS & Splunk)
Bank of America 4.7
Washington, DC jobs
A major financial institution in Washington is seeking a Cloud Detection Engineer for its Cyber Security Operations team. This role requires over 8 years of experience in Cyber Security with specific skills in AWS security and detection engineering. The ideal candidate will focus on improving detection capabilities and reducing alert fatigue using tools like Splunk, collaborating with various teams to protect the organization's assets. This position offers a competitive salary range and industry-leading benefits. #J-18808-Ljbffr
$107k-131k yearly est. 4d ago
Staff Applied AI/ ML Engineer - Customer Experience Platform
Gusto 4.5
San Francisco, CA jobs
Staff Applied AI/ML Engineer - Customer Experience Platform 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 team leverages Gusto's rich dataset to guide product direction and decision‑making by building the right AI/ML solutions at scale. For this role, we are looking for a technical leader (an individual contributor) to drive the scale and optimization of our customer experience and customer journey via building AI and ML‑enabled experiences and services. In this role you will build and optimise AI/ML solutions and infrastructure that power our customer journey related products. You'll be working with a strong AI/ML team and seasoned leaders in Engineering, Product, Design, Data Science, Marketing, and Sales. In this role, you'll work cross‑functionally to build Platforms that span the entire breadth of the unified service platform stack using machine learning and AI to personalise world‑class content for our customers and enhance customer experience. Here's what you'll do day‑to‑day: Design and develop scalable, production‑grade AI and machine learning models for solving complex business problems. Lead and mentor teams of ML engineers, fostering a culture of technical excellence and innovation. Collaborate cross‑functionally with product, engineering, and business stakeholders to identify AI opportunities and translate them into actionable solutions. Stay current with latest AI research; prototype and implement new algorithms and advancements from academia and industry. Oversee model validation, deployment, evaluation, and lifecycle management, ensuring robust monitoring, explainability, and performance. Guide technical strategy, roadmap, and architectural decisions for the ML/AI function. Communicate findings, roadmaps, and performance results clearly to executives and non‑technical partners. Here's what we're looking for: 8+ years' hands‑on experience building and deploying end‑to‑end ML/AI systems in industry or academia. Deep expertise in one or more advanced ML methods (supervised, unsupervised, reinforcement learning, deep learning, NLP, LLMs, RAG, etc.). Proven track record of delivering large, impactful ML/AI projects into production environments. Proficient in modern ML frameworks (TensorFlow, PyTorch, HuggingFace, etc.) and cloud computing platforms (AWS, GCP, or Azure). Strong programming skills in Python and familiarity with best engineering practices (CI/CD, testing, code review). Demonstrated leadership in cross‑disciplinary teams and ability to mentor scientists and engineers. Excellent communication skills and business acumen. Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field is a plus. Our cash compensation amount for this role is targeted at $230k-280k for San Francisco, New York, and Seattle, $205k-255k in Los Angeles, $185k-234k in Denver, and 200k-250k CAD for Toronto. 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. #J-18808-Ljbffr
$230k-280k yearly 23h ago
Staff AI/ML Engineer, Payments & Risk Platform
Gusto 4.5
San Francisco, CA jobs
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
$111k-186k yearly est. 4d ago
Staff AI/ML Engineer - Scale Customer Experience Platform
Gusto 4.5
San Francisco, CA jobs
A leading technology firm is seeking a Staff Applied AI/ML Engineer to enhance customer experience through AI and machine learning solutions. You will drive AI initiatives, collaborate with cross-functional teams, and optimize customer journey-related products. The ideal candidate has over 8 years of experience in ML/AI systems and strong programming skills in Python, with knowledge in frameworks like TensorFlow and PyTorch. Competitive compensation is offered. #J-18808-Ljbffr
$111k-186k yearly est. 23h ago
Staff AI/ML Engineer, Payments & Risk Platform
Gusto 4.5
Los Angeles, CA jobs
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
$97k-166k yearly est. 4d ago
Staff AI/ML Engineer - Scale Customer Experience Platform
Gusto 4.5
Seattle, WA jobs
A leading technology firm is seeking a Staff Applied AI/ML Engineer to enhance customer experience through AI and machine learning solutions. You will drive AI initiatives, collaborate with cross-functional teams, and optimize customer journey-related products. The ideal candidate has over 8 years of experience in ML/AI systems and strong programming skills in Python, with knowledge in frameworks like TensorFlow and PyTorch. Competitive compensation is offered. #J-18808-Ljbffr
$73k-123k yearly est. 23h ago
Staff Applied AI/ ML Engineer - Customer Experience Platform
Gusto 4.5
Seattle, WA jobs
Staff Applied AI/ML Engineer - Customer Experience Platform 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 team leverages Gusto's rich dataset to guide product direction and decision‑making by building the right AI/ML solutions at scale. For this role, we are looking for a technical leader (an individual contributor) to drive the scale and optimization of our customer experience and customer journey via building AI and ML‑enabled experiences and services. In this role you will build and optimise AI/ML solutions and infrastructure that power our customer journey related products. You'll be working with a strong AI/ML team and seasoned leaders in Engineering, Product, Design, Data Science, Marketing, and Sales. In this role, you'll work cross‑functionally to build Platforms that span the entire breadth of the unified service platform stack using machine learning and AI to personalise world‑class content for our customers and enhance customer experience. Here's what you'll do day‑to‑day: Design and develop scalable, production‑grade AI and machine learning models for solving complex business problems. Lead and mentor teams of ML engineers, fostering a culture of technical excellence and innovation. Collaborate cross‑functionally with product, engineering, and business stakeholders to identify AI opportunities and translate them into actionable solutions. Stay current with latest AI research; prototype and implement new algorithms and advancements from academia and industry. Oversee model validation, deployment, evaluation, and lifecycle management, ensuring robust monitoring, explainability, and performance. Guide technical strategy, roadmap, and architectural decisions for the ML/AI function. Communicate findings, roadmaps, and performance results clearly to executives and non‑technical partners. Here's what we're looking for: 8+ years' hands‑on experience building and deploying end‑to‑end ML/AI systems in industry or academia. Deep expertise in one or more advanced ML methods (supervised, unsupervised, reinforcement learning, deep learning, NLP, LLMs, RAG, etc.). Proven track record of delivering large, impactful ML/AI projects into production environments. Proficient in modern ML frameworks (TensorFlow, PyTorch, HuggingFace, etc.) and cloud computing platforms (AWS, GCP, or Azure). Strong programming skills in Python and familiarity with best engineering practices (CI/CD, testing, code review). Demonstrated leadership in cross‑disciplinary teams and ability to mentor scientists and engineers. Excellent communication skills and business acumen. Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field is a plus. Our cash compensation amount for this role is targeted at $230k-280k for San Francisco, New York, and Seattle, $205k-255k in Los Angeles, $185k-234k in Denver, and 200k-250k CAD for Toronto. 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. #J-18808-Ljbffr
$73k-123k yearly est. 23h ago
Staff Applied AI/ ML Engineer - Customer Experience Platform
Gusto 4.5
Denver, CO jobs
Staff Applied AI/ML Engineer - Customer Experience Platform 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 team leverages Gusto's rich dataset to guide product direction and decision‑making by building the right AI/ML solutions at scale. For this role, we are looking for a technical leader (an individual contributor) to drive the scale and optimization of our customer experience and customer journey via building AI and ML‑enabled experiences and services. In this role you will build and optimise AI/ML solutions and infrastructure that power our customer journey related products. You'll be working with a strong AI/ML team and seasoned leaders in Engineering, Product, Design, Data Science, Marketing, and Sales. In this role, you'll work cross‑functionally to build Platforms that span the entire breadth of the unified service platform stack using machine learning and AI to personalise world‑class content for our customers and enhance customer experience. Here's what you'll do day‑to‑day: Design and develop scalable, production‑grade AI and machine learning models for solving complex business problems. Lead and mentor teams of ML engineers, fostering a culture of technical excellence and innovation. Collaborate cross‑functionally with product, engineering, and business stakeholders to identify AI opportunities and translate them into actionable solutions. Stay current with latest AI research; prototype and implement new algorithms and advancements from academia and industry. Oversee model validation, deployment, evaluation, and lifecycle management, ensuring robust monitoring, explainability, and performance. Guide technical strategy, roadmap, and architectural decisions for the ML/AI function. Communicate findings, roadmaps, and performance results clearly to executives and non‑technical partners. Here's what we're looking for: 8+ years' hands‑on experience building and deploying end‑to‑end ML/AI systems in industry or academia. Deep expertise in one or more advanced ML methods (supervised, unsupervised, reinforcement learning, deep learning, NLP, LLMs, RAG, etc.). Proven track record of delivering large, impactful ML/AI projects into production environments. Proficient in modern ML frameworks (TensorFlow, PyTorch, HuggingFace, etc.) and cloud computing platforms (AWS, GCP, or Azure). Strong programming skills in Python and familiarity with best engineering practices (CI/CD, testing, code review). Demonstrated leadership in cross‑disciplinary teams and ability to mentor scientists and engineers. Excellent communication skills and business acumen. Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field is a plus. Our cash compensation amount for this role is targeted at $230k-280k for San Francisco, New York, and Seattle, $205k-255k in Los Angeles, $185k-234k in Denver, and 200k-250k CAD for Toronto. 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. #J-18808-Ljbffr
$64k-105k yearly est. 23h ago
Staff AI/ML Engineer - Scale Customer Experience Platform
Gusto 4.5
Denver, CO jobs
A leading technology firm is seeking a Staff Applied AI/ML Engineer to enhance customer experience through AI and machine learning solutions. You will drive AI initiatives, collaborate with cross-functional teams, and optimize customer journey-related products. The ideal candidate has over 8 years of experience in ML/AI systems and strong programming skills in Python, with knowledge in frameworks like TensorFlow and PyTorch. Competitive compensation is offered. #J-18808-Ljbffr
$64k-105k yearly est. 23h ago
Staff AI/ML Engineer, Payments & Risk Platform
Gusto 4.5
Denver, CO jobs
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
$64k-105k yearly est. 4d ago
Staff Applied AI/ ML Engineer - Customer Experience Platform
Gusto 4.5
New York, NY jobs
Staff Applied AI/ML Engineer - Customer Experience Platform 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 team leverages Gusto's rich dataset to guide product direction and decision‑making by building the right AI/ML solutions at scale. For this role, we are looking for a technical leader (an individual contributor) to drive the scale and optimization of our customer experience and customer journey via building AI and ML‑enabled experiences and services. In this role you will build and optimise AI/ML solutions and infrastructure that power our customer journey related products. You'll be working with a strong AI/ML team and seasoned leaders in Engineering, Product, Design, Data Science, Marketing, and Sales. In this role, you'll work cross‑functionally to build Platforms that span the entire breadth of the unified service platform stack using machine learning and AI to personalise world‑class content for our customers and enhance customer experience. Here's what you'll do day‑to‑day: Design and develop scalable, production‑grade AI and machine learning models for solving complex business problems. Lead and mentor teams of ML engineers, fostering a culture of technical excellence and innovation. Collaborate cross‑functionally with product, engineering, and business stakeholders to identify AI opportunities and translate them into actionable solutions. Stay current with latest AI research; prototype and implement new algorithms and advancements from academia and industry. Oversee model validation, deployment, evaluation, and lifecycle management, ensuring robust monitoring, explainability, and performance. Guide technical strategy, roadmap, and architectural decisions for the ML/AI function. Communicate findings, roadmaps, and performance results clearly to executives and non‑technical partners. Here's what we're looking for: 8+ years' hands‑on experience building and deploying end‑to‑end ML/AI systems in industry or academia. Deep expertise in one or more advanced ML methods (supervised, unsupervised, reinforcement learning, deep learning, NLP, LLMs, RAG, etc.). Proven track record of delivering large, impactful ML/AI projects into production environments. Proficient in modern ML frameworks (TensorFlow, PyTorch, HuggingFace, etc.) and cloud computing platforms (AWS, GCP, or Azure). Strong programming skills in Python and familiarity with best engineering practices (CI/CD, testing, code review). Demonstrated leadership in cross‑disciplinary teams and ability to mentor scientists and engineers. Excellent communication skills and business acumen. Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field is a plus. Our cash compensation amount for this role is targeted at $230k-280k for San Francisco, New York, and Seattle, $205k-255k in Los Angeles, $185k-234k in Denver, and 200k-250k CAD for Toronto. 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. #J-18808-Ljbffr
$66k-103k yearly est. 23h ago
Staff AI/ML Engineer - Scale Customer Experience Platform
Gusto 4.5
New York, NY jobs
A leading technology firm is seeking a Staff Applied AI/ML Engineer to enhance customer experience through AI and machine learning solutions. You will drive AI initiatives, collaborate with cross-functional teams, and optimize customer journey-related products. The ideal candidate has over 8 years of experience in ML/AI systems and strong programming skills in Python, with knowledge in frameworks like TensorFlow and PyTorch. Competitive compensation is offered. #J-18808-Ljbffr
$66k-103k yearly est. 23h ago
Staff AI/ML Engineer, Payments & Risk Platform
Gusto 4.5
New York, NY jobs
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
$66k-103k yearly est. 4d ago