Senior Software Engineer, Machine Learning

Senior Backend Engineer, AI Engineering: AI Coding

Gitlab

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. AN OVERVIEW OF THIS ROLE GitLab is an open core software company that develops the most comprehensive AI-powered DevSecOps Platform, and more than 100,000 organizations use it. Our mission is to enable everyone to contribute to and co-create the software that powers our world. We make this possible by running our operations on our product and staying aligned with our values. The AI Events team builds the event platform and trigger system that power GitLab Duo Flows, enabling them to run automatically in response to events across the development lifecycle. The platform handles internal GitLab events like code pushes, issue and merge request changes, continuous integration and continuous delivery (CI/CD) pipeline results, and deployments, as well as custom events from third-party tools like Jira, Jenkins, and Slack. Flow Triggers link projects to flows, firing automatically when matching events occur, so that AI-powered workflows like automated code review can run without anyone lifting a finger. As a Senior Software Engineer, you'll join a small, close-knit team that maintains infrastructure that many of GitLab's AI features rely on. You'll likely spend much of your time on the triggers side of the platform, linking events across GitLab and third-party tools to the AI workflows that act on them. This part of the system needs to handle significant scale and stay highly available, since it's core to automated AI-enabled work across the platform. WHAT YOU’LL DO * Design and build the trigger system that links GitLab events, including code pushes, merge request and issue changes, CI/CD results, and deployments, and third-party events from tools like Jira, Jenkins, and Slack to the AI-powered Duo Flows that act on them. * Contribute to the broader event platform, the core infrastructure that many of GitLab's AI features rely on to know when and how to run. * Architect for high availability and throughput, since this part of the system sits at the center of automated AI workflows across GitLab and needs to reliably process events at scale. * Work within GitLab's Rails monolith, where much of the event and trigger system lives, while staying open to other languages used elsewhere in the platform. * Influence product and architecture direction by proposing iterative solutions to complex technical problems across a multi-service environment. * Collaborate closely with your teammates, product manager, and designer to shape what the trigger system supports next, likely starting with an additional trigger type. * Partner cross-departmentally with other Duo Agent Platform teams to make sure triggers and events integrate cleanly with the broader agent ecosystem GitLab is building. * Participate in Tier 2 and Tier 3 on-call rotations to troubleshoot production, security, and urgent engineering issues in a globally distributed environment. WHAT YOU’LL BRING * Deep experience with Ruby and Rails, comfortable working within a large, established monolith and shipping production code effectively. * Proven track record building products that interact with large language models, not training or building machine learning models yourself, but with hands-on experience integrating large language models into real, user-facing tools. * Proven track record designing and operating systems built for large scale, with a focus on high availability and throughput in production environments. * Hands-on experience with agentic systems and development, including building workflows that let AI agents take autonomous action. * Demonstrated ability to make progress in evolving problem spaces and learn new AI capabilities quickly as the underlying technology shifts fast and this team ships while it learns. * Strong written communication skills for working asynchronously in a remote, globally distributed team. * Additional helpful experience includes Python, since other parts of GitLab's AI platform are built in it, and using GitLab as a product. ABOUT THE TEAM We're part of GitLab's AI Engineering organization. We're a small team with members based in Europe, and we're growing. We work closely with our manager, product manager, and designer, and we coordinate cross-departmentally with other AI Engineering teams, since GitLab's AI teams work closely together. We operate async-first, communicating through GitLab issues and Slack, with async standups and regular one-on-ones. We value autonomy and ownership, giving engineers the authority to make decisions and move quickly, balanced with high context sharing across the group. AI is a top priority at GitLab, and we work on cutting-edge technology in a high-impact, high-visibility part of the company.   Remote-Global HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off  * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave  Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. ---------------------------------------------------------------------------------------------------------------------------------- Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.   Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Principal Machine Learning Engineer

Toast

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast is looking for a hands-on Principal Software Engineer to join the AI & Strategy Engineering team. In this role, you will be a primary builder of 0-to-1 tools designed to revolutionize how our sales teams operate. This isn't about maintaining legacy systems; it’s about writing the code and building the intelligence models that eliminate friction across the Go-To-Market stack. Working under a Senior technical leader, you will be responsible for the "heavy lifting" of backend engineering and Machine Learning implementation. You will bridge our custom quoting software and Salesforce with intelligent, agentic workflows that allow sales users to make faster, data-backed decisions.   A day in the life (Responsibilities)  * Hands-on Execution: Spend the majority of your time "hands-on-keyboard," architecting and coding high-performance backend services and ML pipelines. * 0-to-1 Development: Build and prototype new internal products from scratch that leverage LLMs and Agentic AI to automate account research, lead prioritization, and complex quoting logic. * Core Intelligence Models: Design and implement ML models that provide real-time recommendations to sales users, reducing manual entry and increasing deal velocity. * Infrastructure Integration: Develop the backend connective tissue between our custom quoting engine, Salesforce, and internal data lakes to ensure a seamless, low-latency end-to-end experience. * Technical Problem Solving: Act as a domain expert to solve complex synchronization and architectural challenges across the GTM stack, ensuring systems are scalable and resilient. * Quality & Mentorship: Drive engineering excellence through rigorous code reviews, automated testing, and by modeling best practices for SE1-SE3 engineers on the team. * Build Great Products: Deliver significant core capabilities that have broad impact; take high-level goals and turn them into sequenced, production-ready code. * Problem Solve: Anticipate shifts in product needs and build flexible, decoupled backend systems that can evolve with our AI strategy. * Deliver Quality: Ensure the reliability of GTM tools by building deep observability into every service you ship.   What you'll need to thrive (Requirements) * Deep Backend Expertise: Extensive experience in backend languages (Java, Go, Python) with a track record of building complex, distributed systems. * Applied AI/ML Skills: Practical, hands-on experience deploying Machine Learning models and building with LLMs (e.g., LangChain, RAG architectures, or Model Fine-tuning) in a production environment. * Technical Complexity: Experience building or deeply integrating with complex enterprise software, specifically custom quoting engines or CRM internals (Salesforce Apex/LWC). * Systems Architecture: Ability to design event-driven architectures and manage data flow across disparate systems with high integrity. * Education: Bachelor’s or Master’s degree in Computer Science, or a related technical field.   What will help you stand out (Nonessential Skills/Nice to Haves) * Experience building internal "Sales Tech" or "Fintech" tools that directly impact revenue. * Familiarity with AWS data services (SageMaker, Lambda, SQS). * A passion for removing "human-in-the-loop" friction through intelligent automation.   AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.   Our Total Rewards Philosophy  We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. #LI-Remote The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy. Zone A $230,000—$368,000 USD Zone B $200,000—$320,000 USD Zone C $180,000—$288,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Senior AI Engineer

Talkspace

At Talkspace, we are committed to fostering a diverse, equitable, inclusive, and belonging-centered workplace where everyone can thrive while making a difference in mental health. Want to help over two million people receive quality mental healthcare? Come join our mission of getting therapy in the hands of everyone! We are looking for an experienced Senior AI Engineer to join our team. The Senior AI Engineer will be a pivotal technical leader, responsible for designing, building, and scaling the autonomous AI agents that form the core of our behavioral health platform. This role requires deep expertise in developing complex, multi-agent systems, leveraging Large Language Models (LLMs) for reasoning, planning, and goal setting, and applying Reinforcement Learning (RL) techniques to model and influence human behavior safely and ethically. You will drive the entire lifecycle of our agents—from developing cognitive architectures and interaction models to ensuring their robust, high-availability deployment and continuous learning in a production environment. Given the sensitivity of behavioral health, this role demands an exceptional focus on safety, ethical autonomy, transparency, and data privacy. The ideal candidate is a seasoned engineer who can bridge the gap between theoretical AI (specifically RL and planning) and real-world, scalable, and impactful user interactions. To work at Talkspace, you need to be as passionate as we are about our work, and excited to partner with us on delivering quality mental healthcare. Talkspace HQ is in NYC; this position is based in Eastern Standard Time.  What You’ll Do * Autonomous System Architecture: Design and implement the technical architecture for Tee's core AI agents, including the development of planning modules, memory/retrieval systems, goal-setting algorithms, and tool-use orchestration. * Reinforcement Learning (RL) for Behavior: Apply advanced RL, Inverse RL, or related control theory methods to develop agents capable of adaptive, long-term intervention strategies that maximize positive user outcomes while minimizing risk (e.g., optimizing interaction sequencing, timing, and content). * LLM Integration and Fine-tuning: Select, fine-tune, and deploy foundation models (LLMs) to power agent reasoning, natural language understanding, and empathetic, context-aware communication with users. * Complex Interaction Modeling: Develop models for human-agent interaction (HAI), incorporating principles from cognitive science and behavioral economics to ensure agents are effective, trustworthy, and aligned with therapeutic protocols. * Simulated Environments: Construct robust simulation environments for pre-training and testing agent policies, ensuring system stability and safety across a wide range of psychological and behavioral scenarios. * Performance and Resilience: Optimize the deployment environment to manage the computational demands of multi-agent orchestration, ensuring low-latency decision-making and high system resilience. * Technical Strategy: Lead the evaluation and adoption of new agentic frameworks, reasoning technologies, and system design patterns that position Tee as a leader in autonomous behavioral health technology. * Agent Evaluation & Observability: Design and implement comprehensive evaluation pipelines for multi-agent orchestration—including visualisations, trace-level analysis of LLM calls and tool invocations, offline evaluation against golden datasets, real-time production monitoring for behavioral drift and outcome correlation, guardrails, and human-in-the-loop annotation workflows. Establish metrics frameworks to assess reasoning quality, task completion, safety compliance, and task alignment across the full agent lifecycle. About You  * Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a highly quantitative field. * Minimum of 5+ years of experience in a production software engineering environment, with at least 3+ years specifically focused on designing, implementing, and deploying complex machine learning or autonomous systems. * Exceptional Python Programming Skills: Mastery of Python and its scientific libraries. * Production MLOps Expertise: Demonstrated experience building and managing CI/CD pipelines for ML models and integrating them into service-oriented architectures (SOA). * Autonomous/Agentic Systems: Strong theoretical understanding and practical application of techniques central to agentic AI, such as Reinforcement Learning (RL), planning algorithms, or complex decision-making systems. * LLM Deployment: Hands-on experience fine-tuning, deploying, and managing Large Language Models (LLMs) in a production environment, including knowledge of prompt engineering, retrieval-augmented generation (RAG), and cost optimization. * Software Engineering Rigor: Proven ability to write high-quality, maintainable, scalable, and well-tested production code. * Proficiency with cloud infrastructure (AWS, GCP) and containerization technologies (Docker, Kubernetes). Benefits  * Comprehensive Medical, Dental and Vision plans coverage since day one * Pre-tax benefits: HSA/ FSA * 401k Retirement Savings Program with matching up to 4% * Voluntary benefits including disability, basic life or pet insurance, etc. * Monthly Wellness Stipend to promote mental and physical self-care * Flexible PTO and Remote First Environment * Regular team events, including Wellness Workshops and Team Building Events * Free access to Talkspace products for you and one household member, as well as access to a friends and family discount!  Compensation At Talkspace, we believe that pay transparency during the interview process is a critical part of diversity, equity, and inclusion. Our salary bands are based on internal and external compensation benchmarks, which we regularly evaluate to ensure we pay competitively. The base salary range for this role is between $169,000 and $200,000. Within the salary bands, leveling corresponds to each candidate’s relevant experience, skills as assessed during the interview process, education, and applicable certifications.  Why Talkspace?  Talkspace is the world’s leading online therapy company, serving over 2 million users looking to begin their wellness journey through tele-health. According to the World Health Organization, close to 1 billion people worldwide live with a mental disorder, and on average more than 75% with mental, neurological, and substance use disorders receive no treatment for their condition at all. Additionally, one-third of the world’s population – 2 billion people – live in countries that spend less than 1% of their health budgets on mental health. Therapy is an universal need and it's our mission here to change the world by cultivating an intentional space for people to feel supported through quality care that is simple and accessible. Combining our passion for innovation along with our desire to help others overcome the stigma behind “getting help,” we are transforming the way patients find the right care provider, making an otherwise impossible feat easily conquerable. Our network of licensed, accredited, and board-certified clinicians are increasing access to mental health for our members through a myriad of high quality therapy services: anytime and for a fraction of the price. Dedicated to our mission, we are looking for candidates that want to bring their talents into a diverse  “for purpose” space. If you’re equally as passionate about making quality mental healthcare accessible to all then Talkspace is the right place for you! EQUAL OPPORTUNITY EMPLOYER Talkspace welcomes and celebrates talent from all backgrounds, perspectives, and walks of life to foster an innovative and diverse workforce. We encourage you to apply, even if you don’t meet every qualification or if your path has been nontraditional — such as not completing a formal degree program, taking a career break, or having a prior criminal record — if you believe you could make a great addition to this team. Come as you are and learn about the exciting opportunities on our team. Individuals seeking employment at Talkspace are considered without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law. How do we define Diversity, Equity, Inclusion, and Belonging at Talkspace?  Diversity Diversity encompasses the unique attributes of our employees as individuals. We value and embrace the richness arising from their varied backgrounds, perspectives, and experiences, which include, but are not limited to, age, ability, ethnicity, gender, race, and cultural background. Equity Equity refers to a fair and impartial workplace, aiming to ensure equal growth and advancement opportunities for all employees. This involves amplifying underrepresented voices, addressing unconscious biases, and providing inclusive, culturally competent mental health care. Inclusion Inclusion signifies the practice of granting equal access to opportunities and resources for all employees, particularly those who might otherwise be excluded or marginalized. It ensures that everyone feels a sense of belonging, value, support, and respect as an individual. Belonging Belonging reflects the affinity and positive relationships that develop among employees from diverse backgrounds when businesses actively promote diversity, equity, and inclusion in the workplace.