Requirements Engineer jobs at Digital Realty - 1558 jobs

Berkshire Hathaway Homestate Companies, Workers Compensation Division, is looking for a mid-level DevOps Engineer. This individual supports the selection, design, implementation, and ongoing operation of the infrastructure environment and resources both on premises and in the Azure cloud. This involves collaborating with other infrastructure staff, development staff, and/or consultants in developing, configuring, maintaining, supporting and optimizing infrastructure systems. Must be legally authorized to work in the United States, without requiring, now or in the future, sponsorship for employment visa status. ESSENTIAL RESPONSIBILITIES Participates in defining infrastructure system roadmap and the development of long-term strategies to manage and scale the services provided by the Infrastructure Platform Administration team. Develops, implements, and maintains infrastructure systems configurations, procedures, and associated training plans. Prepares, reviews, and maintains reports necessary to carry out the functions of the Systems administration operation. Proactively intervenes to correct problems when they are encountered. Prepares periodic reports for management to track strategic goal accomplishment. Maintains the build and deployment for applications across the organization's enterprise hybrid cloud environment. Provides 24x7 on‑call technical support for infrastructure‑related emergencies when not in office and a response time of no more than four (4) hours to these types of events. Creates RFPs, bid proposals, contracts, scope of work reports and other documentation for infrastructure projects and associated efforts. Collaborates with Software Architects and Application Teams to ensure optimal software delivery, application performance, and scalability to build highly resilient systems. REQUIRED QUALIFICATIONS EDUCATION: Bachelor's degree in Computer Science, Information Technology or related field strongly preferred. A combination of equivalent technical certifications and experience may be considered in lieu of degree. CERTIFICATIONS: One or more preferred (or similar, equivalent certification): AWS Certified DevOps Engineer, Microsoft Azure Developer Associate, Microsoft DevOps Engineer Expert, Puppet Certified Professional, Docker Certified Associate, Certified Kubernetes Administrator REQUIRED EXPERIENCE Minimum of seven (7) years of a mix of Development and DevOps experience with Cloud Service Providers (Azure preferred), Continual Integration/Continual delivery (CI/CD), logging and monitoring tools. Proven experience with technologies used to deliver and manage infrastructure environments. Experience using IaC tools (e.g., Terraform) and automation tools (e.g., Chef, Puppet, Ansible, Saltstack). Advanced container experience with Docker and Kubernetes or other container orchestration platform. Demonstrated experience with scripting languages. REQUIRED TECHNICAL SKILLS Demonstrated ability to manage monitoring, centralized logging, and reporting systems; building dashboards on application and server performance and scalability issues (e.g. Data dog, SignalFX, New Relic, or other operations monitoring tools). Advanced ability to document and convey technical information and provide technical guidance to stakeholders regarding operations, system performance, workflow analysis, inventory, and file management. WHAT WE OFFER Work-Life Balance Work From Home Program (up to 2 days per week upon eligibility) Modern Office Setting Free On-Site Fitness Facility Free downtown shuttle route Two-minute walk from Walnut Creek BART Station Three-minute car ride from CA-24 and I-680 Free On-Site Garage Parking BENEFITS Paid Time Off Paid Holidays Retirements Savings Match Group Health Insurance (Medical, Dental, and Vision) Life and AD&D Insurance Long Term Disability Insurance Accident and Critical Illness Insurance Flexible Savings Accounts Paid Community Volunteer Day Employee Assistance Program Tuition Reimbursement Program Employee Referral Program Diversity, Equity and Inclusion Program $138,960 - $167,640 a year This pay scale is an estimate of the salary range the employer reasonably expects to pay for the position based on potential employee qualifications, operational needs and other considerations consistent with applicable law. The actual salary may be above or below the range. The pay scale applies only to this position and only if it is filled in the Bay Area, California. The pay scale may be different for other positions or in other locations. ABOUT US With more than 50 years in business, Berkshire Hathaway Homestate Companies (BHHC), has grown from a regional organization to a national insurance group, offering insurance products from coast to coast. Relationships are the cornerstone of our culture, and we believe in doing the right thing. That means we invest in our business in every way possible to deliver on our mission and demonstrate that people are what powers our success. Our commitment to financial strength and integrity means our customers can rest assured that we will be there when it counts. At BHHC we embrace diversity and foster an environment where our people can be their authentic selves. Our differences make us stronger and better together, which fosters a harmonious workplace-something we truly value. We've created an approachable and collaborative atmosphere. Here you'll find a welcoming workplace where everyone can feel valued, supported, and inspired to do great work. Together, we raise the bar by being curious, remaining customer‑focused, and operating with integrity. #J-18808-Ljbffr

A prominent insurance group is seeking a mid-level DevOps Engineer in San Francisco, California. This position involves managing cloud infrastructure and collaborating with technical teams to ensure optimal software delivery and system performance. Ideal candidates will have extensive experience in DevOps practices and tools, including Azure, Terraform, Docker, and Kubernetes. Competitive salary benefits are provided. #J-18808-Ljbffr

Titan is an AI holding company transforming IT services with its Augmented AI platform. We acquire and partner with the best Managed Service Providers (MSPs) and embed AI at the core of their operations, empowering technicians to work faster, smarter, and more strategically. Our augmented AI platform enables MSPs to scale like technology companies while delivering faster resolutions, better uptime, and more proactive, personalized support for their customers. In under a year, we've raised over $70M from General Catalyst, acquired market-leading MSPs like RFA, and deployed agents seeing real-world impact to productivity. Our team bring together AI product expertise from Scale AI, Google, MIT, and Stanford with private equity experience from H.I.G. Capital and seasoned MSP executives who have led some of the industry's top providers. Joining Titan means helping to redefine how work is done in IT Services and building a $100B company. About The Role As an AI Engineer at Titan, you'll play a pivotal role in shaping the future of AI-powered IT service delivery. You'll work across the stack to build intuitive, high-impact products that blend human expertise with autonomous AI agents, transforming how managed service providers (MSPs) operate. This is an opportunity to join an early-stage team, have meaningful product ownership, and help define the engineering culture as we scale. What You Will Do Design, build, and optimize AI models that enhance automation and decision‑making for IT operations. Work closely with design and product teams to build user‑centric experiences that empower technicians and enhance service delivery. Research and experiment with cutting‑edge AI techniques to improve model accuracy and performance. Collaborate with AI and backend engineers to integrate our AI‑powered platform into customer‑facing tools. Make key technical decisions around model architecture, training infrastructure, and AI best practices. Ship fast and iterate, balancing speed with quality in a fast‑paced, startup environment. Who You Are 4+ years of experience in AI/ML engineering, with hands‑on experience in training, deploying, and optimizing models. Comfortable working with large datasets and deploying models in production environments. Startup mindset-comfortable with ambiguity, eager to take ownership, and ship quickly. Experience working closely with designers and product managers to bring ideas to life. Bonus: Experience with LLMs, fine‑tuning, prompting, model distillation, or AI agents is a plus. #J-18808-Ljbffr

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real‑time, personalized customer experiences. Our investments in technology infrastructure and world‑class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world‑class applied science and engineering teams to deliver our industry‑leading capabilities with breakthrough product experiences and scalable, high‑performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand‑in‑hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this Role, You Will Partner with a cross‑functional team of engineers, research scientists, technical program managers, and product managers to deliver AI‑powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state‑of‑the‑art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large‑scale production AI systems. Contribute to the technical vision and the long‑term roadmap of foundational AI systems at Capital One. The Ideal Candidate You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 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 6 years of experience developing AI and ML algorithms or technologies. At least 8 years of experience programming with Python, Go, Scala, or Java. Preferred Qualifications 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud). Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems. Demonstrated ability to lead and mentor multiple engineering teams and influence cross‑functional stakeholders up to the VP level. 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 applying novel techniques in production. Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Cambridge, MA: $269,100 - $307,200 McLean, VA: $269,100 - $307,200 New York, NY: $293,600 - $335,100 Richmond, VA: $244,700 - $279,200 San Francisco, CA: $293,600 - $335,100 San Jose, CA: $293,600 - $335,100 Anyone hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI). Incentives could be discretionary or non‑discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to **********************. Capital One does not provide, endorse, nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. #J-18808-Ljbffr

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 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 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Salaries (San Francisco, CA) $287,800 - $328,500 Salaries (San Jose, CA) $287,800 - $328,500 Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. Recruiting Contact RecruitingAccommodation@capitalone.com #J-18808-Ljbffr

At Truth Systems, we're building the only trust and safety software any organization will ever need. A protection layer for every individual. We're laying that foundation with AI Governance. Our product Charter is an agent that monitors and flags misuse of AI in line with firm policies and client rules in real time. We're building always-on, real-time systems that keep people safe and organizations compliant without slowing down their work. We are: Small and well-funded. We've raised $4M from world-class investors like Gradient Ventures, Lightspeed, The Legaltech Fund, Y Combinator, and Pear VC. We are currently a team of 4. We are hiring thoughtfully, with ~3 people in the next 6 months. Intensely trustful + high ownership. We optimize for impact per person by requiring high ownership from each team member. We hire experts, ambitious problem-solvers, and generally unstoppable people, and we place a lot of trust in them. We prefer short (or no) meetings, full autonomy, and individualized schedules. Your Mission Over the next 12-18 months, you will embed with customers to help firms navigate and uncover risk surfaces within their organizations. This role blends engineering and customer empathy. You'll work directly with clients to understand workflows, translate them into software, and ensure successful adoption. Outcomes Customer integrations from 0 → 1. Lead deployments of our agents and backend systems in live customer environments. Deliver reliable, secure, and fast integrations. Feedback-driven development. Translate client insights into product improvements and new features. Influence our roadmap through real-world usage. Customer Partnership: Collaborate deeply with clients to identify their pain points, propose solutions, and deliver measurable value. Travel for Deployment and Collaboration: Travel to meet customers across the U.S. (e.g., NYC, Atlanta, Chicago, Seattle, Ohio, and more) for implementations, feedback sessions, and training. Competencies Technical and hands-on: You've spent 1+ years building real products in production - shipping code, wrestling with weird APIs, and making things work in messy, real-world stacks. Full-stack curious: You're fluent in TypeScript/JavaScript (React or Next.js for lightweight UIs) and comfortable with at least one backend language like Python for integrations and automations. Deeply empathetic (must be): Both our team and our customers require empathetic and low-ego people. Some of our users' careers depend on our product being ‘right', so trusting and listening to them is our most important skill. Independent and process building (must be): We don't have a lot of structure. You'll build many processes and set standards yourself, and everyone we hire after you will follow them. Adventurous: You're comfortable with the unknown, love building new experiences, and don't mind travel when it helps you get closer to the problem. Our team's roots span 4+ continents - we like working (and learning) with people from everywhere. Why Join Truth Systems Autonomy: You'll have full ownership of what you build. We trust you to make the right calls, set your own pace, and push projects from idea to production without red tape. Output-focused, not input-focused: We care about impact, not hours. Now that is not to say there will not be days when hours don't get long, but you'll be judged by what you deliver and how it moves the needle - not how long you sit in front of a screen. Cutting-edge meets meaningful: You'll be working at the edge of AI - designing systems that redefine how humans interact with intelligence. At Truth Systems, we care deeply about helping knowledge workers trust AI and move them toward safer, more responsible, and transparent use. Logistics Salary: $170K-$250K Equity: 0.3-1% Location: In-person in San Francisco, with regular travel to customer sites across the U.S. Perks: Meals, housing/relocation, equipment, and benefits included Work Authorization: We cannot sponsor visas at this time #J-18808-Ljbffr

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

A technology firm focused on AI safety is seeking a candidate for a mission-driven role that melds engineering with customer empathy. You will be responsible for leading client integrations of trust and safety software, ensuring successful product adoption while also translating client feedback into actionable improvements. This in-person role is based in San Francisco and includes regular travel across the U.S. Competitive salary and equity are offered. #J-18808-Ljbffr

Employment Type Full time Department Engineering TL;DR - We're looking for an exceptional Forward Deployed Engineer to help build the future of AI-powered software creation. You will be the founding member of our FDE function, working directly with our most ambitious customers to translate impossible ideas into real products. This is a unique opportunity to design a new discipline from scratch and solve problems with AI that no one has solved before. Why Lovable? Lovable lets anyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a fundamental shift in how software is created: from code-first to intelligence-first. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate workflows, and bring their ideas to life. And we're just getting started. We're a small, talent-dense team building a generation-defining company from Stockholm. We operate with high ownership, high velocity, and low-ego collaboration. We care deeply, move fast, and are here to build something that outlives us. What makes this role special? This isn't a traditional software engineering role. You will: Be the first Forward Deployed Engineer at Lovable Create a new function at the intersection of engineering, product, customer success, and research Partner with customers building never-seen-before AI systems Build product features based on real-world behaviors and emerging patterns Influence our core product direction and technical roadmap If you want to invent new categories, not just improve existing ones - this is that role. What we're looking for 5+ years of experience building and shipping full-stack products Proficiency in modern frontend (React/TypeScript) and robust backend development Strong architectural thinking and familiarity with distributed systems Ability to rapidly prototype, experiment, and learn from real usage Exceptional product intuition and ability to work directly with users Comfort operating in high-ambiguity, high-agency environments Bonus if you've: Worked on agentic AI systems or built with LLMs before Led zero-to-one product development Worked in a founding or early startup environment What you'll do In one sentence: Deploy intelligence into the real world. Work directly with customers to understand their workflows, needs, and problems Design and implement solutions for our customers that integrate with Lovable Translate insights from real usage into foundational platform improvements Own projects end-to-end - from idea → architecture → shipping → iteration Shape how Forward Deployed Engineering works at Lovable (rituals, playbooks, org design) Contribute to core product strategy, technical decisions, and cultural foundations Our Tech Stack We choose tools that empower both humans and AI: Frontend: React, Typescript Backend: Golang & Rust Cloud: Cloudflare, GCP, AWS, multiple LLM providers Tooling: Github Actions, OTEL, Grafana, Terraform, and more Always evolving with what works best. How we hire Fill out a short form and hop on a brief intro call with our recruiting team. Complete a quick live coding exercise. Show us how you approach problems during several technical interviews. Show us something you've built that makes you proud. About your application Please submit your application in English - it's our company language so you'll be speaking lots of it if you join We treat all candidates equally - if you're interested please apply through our careers portal. #J-18808-Ljbffr

A tech company in San Francisco is searching for a Forward Deployed Engineer to pioneer a new function within the firm. You will collaborate with customers to transform innovative AI ideas into actionable products. Ideal candidates will have over 5 years of full-stack development experience, proficiency in React and TypeScript, and thrive in high-ambiguity environments. This unique role offers the chance to contribute significantly to a transformative tech landscape. #J-18808-Ljbffr

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

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 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

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

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

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

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

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

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