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The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust i

PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master's degree with 12+ years of industry experience. Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, and Algorithm

Machine Learning Engineer, AI/ML for Drug Discovery. Machine Learning Engineer, Identity Product. Get notified about new Machine Learning Engineer jobs in.

Lead a team of machine learning engineers and software engineers to build large scale indexing, retrieval and ranking system to deliver best Snapchat content to drive user growth. Deep understanding of machine learning approaches, algorithms and their application to recommender and search system. Ex

Software Engineer, Machine Learning. Experience with developing machine learning models at scale from inception to business impact. Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

We bring together world‑class data engineers, platform engineers, machine learning engineers, analytics engineers and data scientists – all working in harmony to transform raw information into secure, reliable and actionable intelligence. From building scalable pipelines and platforms, to enabli

Proficiency in machine learning techniques, experimental design and data engineering. Staff Machine Learning Engineer, Risk Signals & Controls. Learning and Development resources.

Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field. Our approach involves LLM embeddings, few‑shot learning, data labeling, and continuous monitoring of model performance in prod. Expertise in areas like NLP, Deep Learning, Anomaly Detection, Tran

Machine Learning Engineer, Fraud & Abuse. As a Machine Learning Engineer on this team, you will be at the heart of our company's transformation. Protect Shared Documents: Lead the development of advanced machine learning systems to identify abusive users and fraudulent content, with a special focus

A healthcare AI start-up is seeking a Machine Learning Engineer to accelerate product expansion.

Machine Learning Engineering Manager, Public Sector — San Francisco, CA; New York, NY; Washington, DC. We are looking for a Machine Learning Engineering Manager to lead this team of ML engineers and help shape the future of AI in the public sector. As a Machine Learning Engineering Manager, you wi

As a Machine Learning Engineer at Latent, you’ll design and deploy advanced models at the frontier of medical language understanding. Excellent benefits and versatile health, dental, and vision coverage plans Paid parental leave Lunch and dinner provided at the office Unlimited PTO Get notified ab

We are looking for an experienced Senior Staff Machine Learning Engineer to join the Account Integrity team within Trusted Identity engineering org at Uber. Leverage algorithmic knowledge in machine learning/optimization/statistics to design robust engineering solutions to positively impact Uber's b

Build machine learning models to detect and act against risky or abusive activity across the Cash Families product. Bachelor's degree in a quantitative field such as Mathematics/Statistics/Physics or Machine Learning. Strong knowledge of machine learning algorithms and data analysis techniques.

The emphasis is on hands on SageMaker experience.Hands-on experience with a variety of big data (Hadoop / Cloudera, Cloud, etc.Experience with object-oriented scripting languages: Java (required), Python (required), etc.Advanced knowledge of SQL and experience with relational databases.Experience wi

Machine Learning Infrastructure Engineer — join early B2C investment to help build large-scale ML infrastructure for a cutting-edge AI-first mobile product.

Software Engineer - Robotics, Machine Learning, And Python/Django! at.

Ability to blend physics intuition, machine learning, and experimental data into robust predictive models. Collaborate with simulation, RL, controls, and agent systems teams to integrate digital twins into learning and decision‑making workflows.

Machine Learning Systems Engineer, Research Tools. You're excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more capable, reliable and steerable AI. Want to learn more about machine learning research.

Senior Software Engineer, Machine Learning (Ads). Senior Software Engineer specializing in Machine Learning. Senior Software Engineer, Machine Learning (Ads).

Build exploration frameworks and reinforcement learning strategies for cold-start scenarios (new ads/new games), including contextual bandits, off-policy evaluation, and online learning. Computer Science, Machine Learning, Statistics, or a related field—or equivalent practical experience. You will

Familiarity with on‑policy reinforcement learning setups with inference (policy rollouts) as part of the training loop, such as GRPO, PPO, or A2C.

You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. PhD in Machine Learning or related areas. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized exp

A leading financial organization in San Francisco is looking for a highly skilled AI Engineer to develop innovative AI and machine learning solutions.The ideal candidate will have extensive experience in programming, cloud platforms, and novel AI techniques.Responsibilities include architecting ente

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. At Capital One, you will help bring the transformative power of emerg

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. For technical support or questions about Capital One's recruiting proc

Bachelor’s Degree* At least 2 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)* At least 2 years of experience programming with Python, Scala, or Java* At least 1 year of Machine Learning experience with an indus

A leading financial institution is seeking a Senior Machine Learning Engineer in San Francisco.You will lead technology projects, collaborate with product managers, and deliver cloud solutions that empower American customers financially.The ideal candidate has extensive experience in software engine

Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. This role is on the Frontier Machine Learning team within the AI/ML organization, which is respon

Do you dream of well-designed and intuitive products and customer experiences? Do you want to be the one who introduces change to help tens of millions of customers make smarter financial choices? Do you want to change the way people manage their money? If you answered yes to all of these questions,

A premier IT consulting firm is seeking a Machine Learning Engineer in San Francisco, CA.The role emphasizes deploying advanced ML models with a focus on Generative AI.Key responsibilities include architecting ML solutions and engaging in data modeling.The candidate must have experience with major c

A tech company specializing in HR and IT solutions seeks a Senior Engineering Manager for Machine Learning and AI in San Francisco.This role involves leading a talented team, driving technical excellence, and building products that enhance operational efficiency.Ideal candidates have substantial exp

Collaborate with a dynamic team of engineers and researchers to build scalable systems and influence the future of voice technology. An innovative startup is seeking a talented Applied Machine Learning Engineer to revolutionize the audio AI landscape.

A leading AI research company in San Francisco is looking for an ML/AI engineer to define and develop core systems, lead innovative research, and ship high-impact products.Ideal candidates will demonstrate exceptional machine learning talents, strong engineering skills, and a passion for technology.

Job Description As our business continues to grow, we are expanding our capabilities in harnessing cutting-edge AI advancements. We seek a highly motivated problem solver who thrives in addressing complex challenges with innovative solutions. This team is dedicated to adapting the latest AI technologies to drive value for our business. You'll be joining a small, focused, and fast paced team that plays a critical role within a broader organization of excellence. If you're eager to be at the forefront of AI innovation and ready for impactful work, we want to hear from you. This team and this position are physically located in our downtown San Francisco, CA office. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: • Develop, maintain, and enhance complex software systems leveraging state-of-the-art AI models., • Conduct requirements analysis, software design, peer reviews, and maintain thorough documentation., • Implement software engineering best practices including iterative development, rigorous unit testing, version control, and detailed code inspections., • Build, manage, and optimize machine learning pipelines ensuring high availability and scalability., • Design, execute, and analyze experiments to validate and enhance machine learning models and pipelines. Qualifications: • Strong .NET, .NET Core and C# skills., • Strong Python programming experience., • Familiarity with the latest developments in AI, regularly working with large language models (LLMs)., • Proven experience leveraging AI tools such as Cursor, ChatGPT, or Copilot to enhance development speed and efficiency., • Experience building API Microservices., • Working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries., • Object oriented programming principles., • Commitment to rigorous testing, experimentation, and data-driven decision-making., • Ability to work both independently and within a small, focused team environment., • Must be self-directed, analytical, adept to problem solving, and have a strong attention to detail., • Demonstrated ability to produce quality products under tight and strict deadlines. EDUCATION & EXPERIENCE: • Bachelor’s degree in Computer Science, Engineering, or a related field., • Minimum of 5 years’ experience in software engineering, data engineering, or data science., • Demonstrated cloud experience, particularly with Azure., • Hands-on experience with big data ecosystem products/languages such as Databricks, Snowflake, Spark, Python OSS, Impala, Solr, Kudu, etc., • Practical experience using machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn., • Experience with ETL processing, data access and consumption., • Proven ability to translate business requirements into effective, data-driven solutions. PAY RANGE: CorVel uses a market based approach to pay and our salary ranges may vary depending on your location. Pay rates are established taking into account the following factors: federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions. Our ranges may be modified at any time. For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role. The level may impact the salary range and these adjustments would be clarified during the offer process. Pay Range: $97,019 – $163,027 A list of our benefit offerings can be found on our CorVel website: CorVel Careers | Opportunities in Risk Management In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first. ABOUT CORVEL: CorVel, a certified Great Place to Work® Company, is a national provider of industry-leading risk management solutions for the workers’ compensation, auto, health and disability management industries. CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients. We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities. Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!). A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off. CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable. #LI-Onsite

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features that transform the way millions of users explore, interact with, and participate in live events worldwide. As a Senior Software Engineer, you will be an integral part of developing the team's commercial and product strategy. You will be expected to be equally focused on user needs and to exercise sound commercial judgment (not just technical judgment). Our Senior Software Engineers are essential to our company's success, so they must demonstrate initiative and enthusiasm in solving the problems they encounter. StubHub is committed to being a phenomenal and inclusive workplace. We expect you to also serve as an advocate and mentor for your team members, demonstrating leadership qualities and setting an example for those around you. Location: Hybrid (3 days in office/2 days remote) About the team:The Selection Core Team forms the foundation of the StubHub consumer experience and is at the heart of our mission to connect people with unforgettable experiences. The team is responsible for sourcing and categorizing data as part of the ingestion process, efficiently and meaningfully storing an ever-growing stream of data, and finally exposing the data to the end-user through a comprehensive set of scalable and intuitive interfaces. At a foundational level, the Selection Core Team aspires to act as an innovation engine for downstream teams, powering the enrichment of experiences on the front end within Consumer Experience, enabling innovative strategies for Customer Service, and facilitating more relevant ads for Performance Marketing. Finally, as the source for all visual assets (images, maps), the Catalog plays a pivotal role in shaping the look and feel of StubHub's website, serving millions of users a month with engaging visual content. What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 7+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using general-purpose programming languages(e.g., Java, C#), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Data Engineering, Machine Learning, API Design, and Distributed Systems, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineers What We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job Description About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI at Tier 1 VC backed startups, scale ups and enterprise tech like Palatir, who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.This is a general / expression of interest, therefore by submitting your CV, you will be considered for upcoming roles with our clients. Locations: Most of our client base is concentrated in California, New York and a few scattered across other States and Europe. Who Can Apply: We are looking for professionals with demonstrated experience in AI, ML, and Data Science roles within reputed tech companies and/or from top 100 universities in the world. Visa sponsorship is available for existing H1b transfers. Student visas will only be considered on the academic pedigree - top 50 global universities. Experience: From early-career engineers to senior ICs, leads and principals. General Requirements by Role: * Proven experience building or deploying machine learning systems in production environments (not just academic or lab prototypes). * Background in a top technology company, Tier 1 VC backed startup, advanced research institute, or high-caliber engineering team. * Solid understanding of ML fundamentals, including model development, optimization, and evaluation. • Hands-on experience with at least one major area of specialization: LLMs & Generative AI * Computer Vision * NLP / NLU * Reinforcement Learning * Recommendation Systems * Time Series & Forecasting * Applied Deep Learning • Familiarity with modern ML engineering workflows: MLOps pipelines * Model monitoring & observability * Deployment to cloud or edge environments * Vector databases & embeddings * Retrieval-augmented pipelines * Experience with distributed systems, data infrastructure, or high-performance computing is a strong advantage. * Professionals with experience in AI Safety, alignment, privacy-preserving ML, or security-focused ML are also welcome. * Strong coding proficiency (Python preferred) and familiarity with relevant frameworks such as PyTorch, TensorFlow, JAX, LangChain, Ray, etc. * Experience mentoring engineers, leading technical initiatives, or driving cross-functional collaboration is valued. * Candidates with a track record of publications, open-source contributions, patents, or shipped products demonstrating real-world impact will stand out. Why Work With Us? * Take advantage of the strong relationships we have built with Founders and CTOs. * Work with recruiters who understand the difference between a fine-tuned model and a foundation model and wont ask if you know Python. * We prioritize your confidentiality and privacy throughout the recruitment process. * No Spamming * Support refining your resume or portfolio specifically for the roles we shortlist you for. * Direct communication channels. Bypass gatekeepers and speak directly with the actual hiring manager and decision-makers. * Insight on compensation structures across geographies, including equity-heavy offers, research-focused roles, or hybrid IC/lead tracks.

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. About the Role We're seeking an exceptional Software Engineer to join our research team in advancing the frontiers of visual generative AI. As a Research Engineer, you'll work alongside experienced researchers to develop and improve generative models while ensuring their safe and effective deployment. What You'll Do * Contribute to the development of novel machine learning techniques for visual generative modeling * Implement and experiment with various generative architectures (Diffusion Models, GANs, Transformers) * Help optimize model performance and scaling capabilities * Assist in ensuring safe and robust model deployment * Collaborate with cross-functional teams to integrate research innovations * Participate in research discussions and contribute to technical documentation Required Qualifications * BS or MS in Computer Science, Machine Learning, or related field (recent graduates welcome) * 2+ years of experience in Machine Learning * Strong foundation in machine learning, particularly generative models * Solid programming skills in Python and PyTorch/TensorFlow * Experience with deep learning frameworks and model training * Understanding of fundamental concepts in computer vision and generative AI * Project experience (academic or personal) with generative models * Clear communication skills and ability to work in a research team Preferred Qualifications * Research projects or thesis work in generative AI * Experience with different types of generative models: * Diffusion Models * GANs * Transformer architectures * Large Language Models * Familiarity with distributed computing and GPU optimization * Contributions to open-source ML projects * Academic publications or workshop papers * Experience with ML infrastructure and deployment This position is onsite at our San Francisco office (4–5 days per week). We are a fast-paced startup, and our team works very hard to build impactful products quickly. We’re looking for equally driven and hardworking individuals who thrive in an environment where learning is constant, challenges are exciting, and collaboration is key. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Role We’re seeking a Staff Software Engineer to lead engineering on Quizlet’s external API platform and LearnOS plugin architecture. You’ll define integration patterns for partner applications, guide API best practices, and build infrastructure that enables seamless learning workflows across external platforms and AI agents. We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.In this role, you will: • Design and implement APIs powering partner experiences and agentic workflows., • Develop MCP and agentic services to build the LearnOS of Quizlet., • Lead cross-team initiatives to deliver secure, rate-limited, and discoverable APIs., • Build infrastructure for Quizlet widgets and embedded experiences in LMSs, productivity tools, or creative apps., • Mentor engineers and influence platform development standards.What you bring to the table:, • 8+ years of backend or platform engineering experience, with expertise in API or developer platforms., • Strong track record designing extensible, secure APIs, SDKs, and plugin systems., • Understanding of agent frameworks like MCP, protocol design, and AI/LLM interoperability., • Experience building platform abstractions and developer enablement layers., • Hands-on expertise with containerized services, OAuth2, gRPC/REST, and event-driven systems., • Fluency with platform security, privacy, and system design., • Proven ability to lead architectural transformation while shipping continuously.Compensation, Benefits & Perks:, • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $196,320 – $268,100, depending on location and experience, as well as company stock options., • Collaborate with your manager and team to create a healthy work-life balance, • 20 vacation days that we expect you to take!, • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice), • Employer-sponsored 401(k) plan with company match, • Access to LinkedIn Learning and other resources to support professional growth, • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-FT We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAt Quantcast, we're redefining what's possible in digital advertising. As a global Demand Side Platform (DSP) powered by AI, we help marketers connect with the right audiences and deliver measurable results across the Open Web. Our foundation is built on cutting-edge measurement and consumer analytics, giving our clients the tools they need to drive success in an ever-evolving digital landscape. Since our start in 2006, we've pioneered industry firsts—from launching the original measurement platform for digital publishers to introducing the first AI-driven DSP. If you're ready to be part of a dynamic, forward-thinking team that thrives on creating transformative solutions, Quantcast is the perfect place to grow your career. Quantcast is hiring Software Engineers to join our engineering team in our San Francisco office. As the real-time pulse of the Internet, Quantcast runs the world’s largest AI-driven insights and measurement platform directly quantifying over 100 million web destinations. We are using machine learning to drive human learning. Quantcast provides brand marketers and publishers with significant audience insights, predictive targeting and measurement solutions across the customer journey. You’ll have the opportunity to learn Software Engineering methodologies and will own projects from start to finish. You are passionate about building scalable backend systems and customer-facing applications. You will thrive in an environment where independent decision-making based on product requirements is the norm. We foster an agile environment where new ideas and software development come together to effectively pursue some of our industry's toughest problems.What you'll do: • You will provide technical solutions to take on exciting problems in the advertising industry., • You will partner with a team of engineers and work on a variety of large scale systems., • You will collaborate with Product & Business Operations teams to translate business requirements and build highly robust and scalable products., • You will gain exposure to existing Quantcast systems and our technologies to internal and external customers., • You will be responsible for the day-to-day product operations.Who you are:, • 0 - 3 years of experience., • You must be work-authorized in the United States without the need for current or future employer sponsorship., • BS, MS or PhD degree in computer science or related field., • This is a hybrid role based in our San Francisco office. To ensure a manageable commute for in-office days, candidates must reside within a 60-mile radius of San Francisco, CA. No relocation candidates at this time., • Excellent command of one or more programming language in Java or Python., • Experience working with distributed systems, big data and large-scale systems., • Deep understanding of algorithms and data structures., • Extraordinary verbal and written interpersonal skills.The salary range for this position is $144,900 - $168,400. #LI-AC1 Quantcast operates in a hybrid work environment. The in office days are Tuesday, Wednesday, and Thursday. At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes eligibility for a performance bonus, equity, and a comprehensive benefits package. Depending on your location, this may include generous vacation, medical, dental, and vision coverage, and retirement plans. For more details, visit our Careers page and see how we support our team. Please see the Applicant Privacy Notice for details on our applicant privacy policy. Founded in 2006 and headquartered in San Francisco, we are a diverse, aligned community with offices across 10 countries worldwide. Join the team that unlocks potential. Quantcast is an Equal Opportunity Employer. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role operates on a hybrid schedule requiring two days of in-office collaboration per week. The position can be based in either our San Francisco office or our new New York City office (opening January 2026). About the Role Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasoned Senior Machine Learning Engineer to join our team and help shape the future of ML/AI at Taskrabbit. This is a unique, full-stack role for an individual who is passionate about the entire machine learning lifecycle—from initial research and model development to building the robust infrastructure required to deploy and scale your work. As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial role in advancing our capabilities in areas like search ranking, content discovery, and recommender systems. You will collaborate closely with data scientists and other engineers to design and implement novel algorithms, and you will partner with software engineers to ensure the scalability, reliability, and optimization of our models in production. What You'll Work On: • Model Development & Research: Research, design, and implement machine learning models to solve key business problems in areas like search ranking, recommendations, and content discovery., • End-to-End ML Lifecycle: Own the entire lifecycle of ML models, including feature engineering, training, evaluation, deployment, and monitoring., • Infrastructure & Scalability: Build scalable and reliable ML infrastructure and data pipelines that support reproducible feature engineering and machine learning model deployment in real-time, near real-time, and batch processes., • Performance & Quality: Build monitoring services to understand data quality and model performance of complex systems, and collaborate with engineering and science teams to optimize existing algorithms for training and evaluation., • BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field., • 3+ years of industry experience building and deploying high-quality, production-grade machine learning models and systems., • Strong theoretical knowledge and hands-on experience in machine learning, particularly in areas like search, ranking, recommender systems, or NLP., • Solid software engineering skills with proficiency in one or more programming languages, including Python. The candidate should have experience with popular ML libraries like Scikit-learn, lightgbm, xgboost, TensorFlow, PyTorch, etc., • Proficiency in SQL is also required for writing complex queries and transforming data., • Experience building REST API-based services., • Experience with modern data and ML technologies, such as Docker, Kubernetes, Kafka, Airflow, data warehouses (eg snowflake, redshift or BigQuery), and data lakes., • Familiarity with dbt (Data Build Tool) is a plus for transforming and testing data., • Familiarity with tools for Infrastructure as Code, such as Terraform, and CI/CD pipelines., • Excellent communication skills, with the ability to present complex findings and recommendations clearly to both technical and non-technical audiences. The base pay range for this position is $148,000 - $200,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

Job DescriptionAbout Multiply Labs Multiply Labs is a cutting-edge startup based in San Francisco, California, supported by top-tier tech and life science investors such as Casdin Capital, Lux Capital, and Y Combinator. We are revolutionizing the manufacturing of cell therapies by developing advanced robotic systems designed to automate and scale the production of these life-saving treatments. Our robots empower biopharma companies to produce cell therapies at scale without significantly changing their existing processes, reducing regulatory barriers and risks. While traditional approaches are time-consuming and lead to extremely high costs for patients (typically $1M+ per patient), using robotics can make these transformative treatments more accessible and affordable to patients in need. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. You can also read our latest peer-reviewed study, which highlights the statistical equivalence between manual and automated cell expansion processes, at cytotherapy.org. About the Role As a senior member of our Robotics Software Engineering Team, you will be a key technical leader responsible for the intelligent software that powers our automated manufacturing systems. Working at the intersection of robotics and biopharma, you'll collaborate with a world-class team to solve complex challenges. This role is for a passionate, hands-on engineer dedicated to building robust systems that have a direct impact on patient lives.Responsibilities include: • System Design & Architecture: Designing and implementing production-ready software for our robotic platforms, spanning from low-level hardware communication to high-level robotic logic and system behaviors., • Core Algorithm Development: Implementing and optimizing sophisticated algorithms for trajectory planning, robotic interaction, motion control, and integrating data from various sensors., • Simulation & Testing: Building and maintaining high-fidelity simulations for validation and contributing to our automated test suites (CI/CD) to ensure software robustness., • Cross-Functional Collaboration: Working closely with mechanical and system software teams to integrate and troubleshoot complex, system-level robotics challenges., • Mentorship & Best Practices: Mentoring other engineers and championing software best practices to elevate the entire team.Qualifications, • Bachelor’s or Master’s degree in Computer Science, Robotics, Engineering, or a related discipline., • 5+ years of professional experience developing software for robotic or complex electromechanical systems., • Expertise in Python and a strong command of software engineering fundamentals (e.g., version control with Git, automated testing, CI/CD)., • Deep understanding of robotics principles, including kinematics, dynamics, motion planning, and control theory., • Experience leading cross-functional projects and a demonstrated ability to deliver on technical roadmaps., • Excellent communication, collaboration, and problem-solving skills, with comfort in a fast-paced startup environment.Nice to Haves, • Hands-on experience with robotics simulation environments (e.g., Isaac Sim, Gazebo, PyBullet)., • Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and their application to robotics (e.g., computer vision, imitation learning)., • Experience working in a regulated industry (e.g., GxP, ISO standards).Benefits, • 401K with 4% company match, • Health Insurance, • Dental Insurance, • Vision Insurance, • Life Insurance, • Partial Health Insurance for Child Dependents, • HSA or FSA, • Twice weekly catered lunch (for team members in SF office), • Pre-tax Commuter Benefit, • 10 Paid Holidays, • Flexible PTO

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is seeking Senior Software Engineers in Android to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. In order to ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive place to work. As a Senior Software Engineer, you will also be an advocate and mentor for your team members, displaying leadership qualities and being an example for those around you. Location: Hybrid (3 days in office/2 days remote)About the teamThe Consumer Experience (CX) team is responsible for the end-to-end product experience for fans looking to discover, buy, and sell tickets to their favorite live events through our web and mobile platforms. It sits at the forefront of fulfilling StubHub's mission to become the global destination for accessing live event experiences by crafting the product experience that millions of fans interact with every day. We are obsessed with understanding our users' needs and delivering feature innovations, both short-term and long-term, that are as effective as they are enjoyable. We serve a global fan base and aim to deliver a localized experience that feels personalized to every individual in over 60 regions and 30 languages. We believe that diversity of thought and transparency of impact breed the best innovations, which is why we are a cross-functional team of specialists in product, design, engineering, and data working closely together with equal voice in ideation and equal access to insights. We work across the entire stack leveraging any tool or technology necessary to support web and mobile feature innovation at scale.What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 5-6+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (Kotlin or Java), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Exposure to React Native, • Proven ability to learn other coding languages, platforms, frameworks, and tool, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineers What We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job DescriptionAbout PayJoy PayJoy is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and credit cards, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and provide safety acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This role The senior Software Engineer Systems is responsible for defining the architectural direction and making high-impact technical decisions that wi l shape the development of platforms for MarTech Systems, which drive global customer acquisition, activation, engagement, and retention. Responsibilities • Own medium-sized features and services end-to-end — including technical design, development, testing, deployment, and ongoing maintenance., • Write clean, performant, secure, and wel-tested code with strong observability and monitoring., • Independently break down requirements, manage risks, and deliver high-quality outcomes with predictable execution., • Improve system reliability, scalability, and maintainability by addressing technical debt and operational gaps., • Participate in architectural discussions and provide constructive design and code review feedback across the team., • Colaborate with Product, Marketing, Data, and Operations to deliver scalable solutions that drive measurable business impact., • Communicate progress, trade-offs, and risks clearly to peers and stakeholders., • Contribute to onboarding, documentation, knowledge sharing, and a continuous improvement mindset., • Participate in hiring activities, mentorship, and building a strong, inclusive engineering culture. Requirements, • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field., • 6–8+ years of software engineering experience, with ownership of production services and data-driven product features., • Strong proficiency in at least one backend language or framework, and solid experience with cloud-native architectures, including APIs, microservices, and event-driven systems (AWS preferred)., • CRM / CDP integrations (Salesforce and at least one platform such as Marketo, Braze, or HubSpot), • Support for paid media activation (search, social, display, programmatic), • Personalization engines and retention tooling driving acquisition, engagement, and conversion, • Proven ability to execute independently, with strong judgment on when to raise risks, ask for help, or seek alignment., • Excellent communication and interpersonal skills, with the ability to collaborate effectively across Engineering, Marketing, Product, and Data teams, and contribute to an inclusive team culture.Nice to Have, • Experience with Adobe Experience Platform (AEP)., • Exposure to omnichannel activation (email, push, SMS, in-product)., • Interest in growing toward Staff / architecture responsibilities., • Experience in product-led or growth-driven companies.Benefits MXN, • 100% Company-funded Health and dental and vision discount plan for employees and immediate family members., • Life insurance., • Phone finance, Headphone, home office equipment and wellnes perks., • 30 days of Christmas bonus, • 20 days paid Vacation, • 50% Vacation premium, • 13% Saving funds, • $2,000 MXN monthly grocery coupons, • $2,000 MXN monthly restaurant coupons, • $2,000 USD annual Co-working Travel perk, • $2,000 USD annual Professional Development perkBenefits COL, • 100% Company-funded Health and Life Insurance for employees and immediate family members, • Indefinite-term contract, • 20 days of vacations, • $2,000 USD annual Co-working Travel perk, • $2,000 USD annual Professional Development perk, • $500 USD Phone finance with PJ, • $250 Wellness, • $200 Headphones

Job DescriptionAbout the teamAt Q-CTRL, Quantum Computing Engineering is a global team of software engineers and infrastructure experts,combining deep technical expertise with a startup mindset to deliver real impact through software innovation. Our work is underpinned by robust standards, and by embracing the three virtues. Our team excels in areas across back-end, front-end, machine learning, and platform engineering. We transform Q-CTRL’s world-leading technological breakthroughs into commercial software products with applications across defense, research, and industry. We work closely with Product, Design, and Research teams to accelerate the path to quantum advantage worldwide. About the role: As a Software Engineer, you’ll be responsible for developing software solutions for quantum technologies and deploying them in the Q-CTRL product suite.What you'll be doing: • Development work in the application code base for Q-CTRL’s error suppression products., • Assist in integrating Fire Opal with external customer’s systems., • Implementing novel control and error mitigation techniques developed in collaboration with research scientists for improving quantum circuit performance., • Mentoring other developers and autonomously addressing high priority work., • Review and address code and comments submitted by the team via pull requests., • Build robust tooling for monitoring, benchmarking, and experimentation., • Collaborating cross-functionally with members of Q-CTRL’s technical staff., • Other duties within the Employee's skills and experience, or with reasonable training.Ideally you'll have:, • A Bachelor’s or master’s degree in computer science, physics, or related STEM field., • 4+ years of experience as an individual contributor in a professional software role, or equivalent experience., • 4+ years of programming experience with Python, Rust, C++, or other general-purpose languages., • A background in quantum computing, software design, high performance computing, or the related.It would be fantastic if you have these skills/backgrounds but not essential:, • A Ph.D. in computer science, experimental physics, mathematics, or a related area., • Experience in experimental physics or the design and integration of superconducting quantum devices.

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Role: As a Senior Software Engineer, you’ll design and implement the APIs and integrations that connect Quizlet to a global ecosystem of partners, AI agents, and learning platforms. You’ll help define the architecture for our LearnOS plugin system, build developer tooling, and collaborate across teams to ensure secure, scalable, and discoverable services. We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.In this role, you will: • Design and deliver APIs powering partner integrations and agentic workflows., • Develop infrastructure for Quizlet widgets and embedded experiences in LMS and productivity tools., • Build developer-facing tools, SDKs, and plugin frameworks for external integrations., • Ensure API reliability, scalability, and security through rate-limiting and observability., • Mentor junior engineers and contribute to platform standards and design reviews.What you bring to the table:, • 5+ years of backend or platform engineering experience, including API design., • Strong experience building extensible REST/gRPC APIs, SDKs, and integration systems., • Knowledge of OAuth2, rate limiting, and platform security best practices., • Hands-on experience in Go, Python, Node.js, or TypeScript., • Strong collaboration skills and a product-focused engineering mindset.Compensation, Benefits & Perks:, • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $170,880– $231,600, depending on location and experience, as well as company stock options., • Collaborate with your manager and team to create a healthy work-life balance, • 20 vacation days that we expect you to take!, • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice), • Employer-sponsored 401(k) plan with company match, • Access to LinkedIn Learning and other resources to support professional growth, • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-FT We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCanvas Medical is the electronic medical records (EMR) and payments development platform for healthcare. We build modern, elegant front- and back-end tooling to enable new ways for developers and clinicians to collaborate to solve healthcare’s toughest challenges. Canvas is institutionally backed by some of the greatest technology investors in the world (funded notable health tech companies such as GoodRx, Oscar Health, and Hims & Hers Health). The Role We’re hiring an Applied AI Software Engineer to lead evaluations for agents in development and the post-deployment fleet of agents operating in Canvas to automate work for our customers. You will help develop agents in Canvas using state of the art foundation model inference and fine-tuning APIs along with our server-side SDK. The server-side SDK provides extensive tools and virtually all the context necessary for excellent agent performance. You’ll be responsible for designing and running rigorous evaluation experiments that measure performance, safety, and reliability across a wide variety of clinical, operational, and financial use cases. This role is ideal for someone with deep experience evaluating LLM-based agents at scale. You’ll create high-fidelity unit evals and end-to-end evaluations, define expert-determined ground truth outcomes, and manage iterations across model variants, prompts, tool use, and context window configurations. Your work will directly inform model selection, fine-tuning, and go/no-go decisions for AI features used in production settings.You’ll collaborate with product, ML engineering, and clinical informatics teams to ensure that Canvas's AI agents are not only capable, but trustworthy and robust under real-world healthcare constraints. You will also work with technical product marketers and developer advocates to help our broader developer community and the broader market understand the uniquely differentiated value of agents in Canvas.Who You Are • You have extensive hands-on experience evaluating LLM-based systems, including multi-agent architectures and prompt-based pipelines., • You are deeply familiar with foundation model APIs (OpenAI, Claude, Gemini, etc.) and how to systematically benchmark agent performance using those models in applied settings., • You care about correctness and reproducibility and have built or contributed to frameworks for automated evals, annotation pipelines, and experiment tracking., • You bring structure to ambiguity and know how to define “correctness” in complex, nuanced domains., • You are comfortable collaborating across engineering, product, and clinical subject matter experts., • You are not afraid of complexity and are energized by the rigor required in healthcare deployments.What You’ll Do, • Design and execute large-scale evaluation plans for LLM-based agents performing clinical documentation, scheduling, billing, communications, and general workflow automation tasks., • Build end-to-end test harnesses that validate model behavior under different configurations (prompt templates, context sources, tool availability, etc.)., • Partner with clinicians to define accurate expected outcomes (gold standard) for performance comparisons in domains of clinical consequence, and partner with other subject matter experts in other non-clinical domains., • Run and replicate experiments across multiple models, parameters, and interaction types to determine optimal configurations., • Deploy and maintain ongoing sampling for post-deployment governance of agent fleets., • Analyze results and summarize tradeoffs in clarity for product and engineering stakeholders, as well as for technical stakeholders among our customers and the broader market., • Take ownership over internal eval tooling and infrastructure, ensuring speed, rigor, and reproducibility., • Identify and recommend candidates for reinforcement fine-tuning or retrieval augmentation based on gaps identified in evals.What Success Looks Like at 90 Days, • An expanded set of robust evaluation suites exists for all major AI features currently in development and in production., • We have well-defined correctness criteria for each workflow and a reliable source of expert-determined outcome objects., • Product and engineering teams have integrated your evaluation tools into their daily workflows., • Evaluation results are clearly documented and reproducible, enabling trust in the performance trajectory., • Your have effectively engaged your marketing counterparts to translate your work into key messages to the market and to Canvas customers.Qualifications, • 5+ years of experience in applied machine learning or AI engineering, with a focus on evaluation and benchmarking., • Proficiency with foundation model APIs and experience orchestrating complex agent behaviors via prompts or tools., • Experience designing and running high-throughput evaluation pipelines, ideally including human-in-the-loop or expert-labeled benchmarks., • Superlative Python engineering skills and familiarity with experiment management tools and data engineering toolsets in general including, yes, SQL and database management., • Familiarity with clinical or healthcare data is a strong plus., • Experience with reinforcement fine-tuning, model monitoring, or RLHF is a plus.