Machine learning jobs in Oakland, California - Page 6Crear alertas

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 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

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 Description At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. We are seeking a highly skilled Sr. Software Engineer, ML Edge Inference Role to join our robotics team. This technical role bridges the gap between ML research and real-time deployment, enabling advanced ML models to run efficiently on edge hardware such as NVIDIA Jetson platforms. You will work closely with ML researchers, embedded systems engineers, and robotics software teams to ensure that state-of-the-art models can be deployed with optimal performance on robotic platforms. Responsibilities * Own the full lifecycle of ML model deployment on robots—from handoff by the ML team to full system integration. * Convert, optimize, and integrate trained models (e.g., PyTorch/ONNX/TensorRT) for Jetson platforms using NVIDIA tools. * Develop and optimize CUDA kernels and pipelines for low-latency, high-throughput model inference. * Profile and benchmark existing ML workloads using tools like Nsight, nvprof, and TensorRT profiler. * Identify and remove compute and memory bottlenecks for real-time inference. * Design and implement strategies for quantization, pruning, and other model compression techniques suited for edge inference. * Ensure models are robust to the resource constraints of real-time, low-power robotic systems. * Manage memory layout, concurrency, and scheduling for optimized GPU and CPU usage on Jetson devices. * Build benchmarking pipelines for continuous performance evaluation on hardware-in-the-loop systems. * Collaborate with QA and systems teams to validate model behavior in field scenarios. * Work closely with ML researchers to influence model architectures for edge deployability and provide technical guidance on the feasibility of real-time ML models in the robotics stack. Qualifications * Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or equivalent field. * 5+ years experience in deploying ML models on embedded or edge platforms (preferably robotics). * 3+ years of experience with CUDA, TensorRT, and other NVIDIA acceleration tools. * Proficient in Python and C++, especially for performance-sensitive systems. * Experience with NVIDIA Jetson (e.g., Xavier, Orin) and edge inference tools. * Familiarity with model conversion workflows (e.g., PyTorch → ONNX → TensorRT). What Makes You Standout * Master’s degree in Computer Science, Robotics, Electrical Engineering, or equivalent field. * Experience with real-time robotics systems (e.g., ROS2, middleware, safety-critical constraints and linux embedded systems). * Knowledge of performance tuning under thermal, power, and memory constraints on embedded devices. * Experience with model quantization (e.g., INT8), sparsity, and latency-aware model design. * Contributions to open-source ML or CUDA projects is a plus.

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 DescriptionAbout Our Team Chef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world. As the rise of LLMs like ChatGPT has shown, AI has the potential to drive immense change. However, we believe AI’s biggest impact will be in the physical world, given industries like manufacturing, food, and transportation represent 90% of global GDP. We're starting with food, with a goal to put an intelligent robot in every commercial kitchen in the world. We have signed multiple multi-year contracts with various large food companies and we are growing fast. We're backed by investors like Kleiner Perkins, Construct, Bloomberg BETA and Promus Ventures. We have a great team, where you will be surrounded by talented engineers and tech leaders from companies like Cruise, Zoox, Google, Verb Surgical, Tesla, Nuro, Vicarious, Amazon Robotics, Strateos, Built Robotics, Facebook, Plenty, Yelp, and Microsoft. About the RoleAs a Senior Robotics Software Engineer, Planning and Control at Chef Robotics, you'll lead the development of sophisticated motion planning and control systems that orchestrate complex food preparation workflows. You'll be responsible for designing and implementing high-level planning algorithms that coordinate multi-step recipes, optimize robot trajectories for efficiency and safety, and ensure smooth execution across dynamic kitchen environments. This role requires expertise in motion planning, trajectory optimization, and real-time control systems that can adapt to the fast-paced demands of commercial food production. As a small team, we are focused on building a positive in-office culture. We are looking for individuals who are available to work onsite at the office five days a week and can work start-up-oriented hours.Advanced Motion Planning & Trajectory Optimization • Lead the development of classical and learning-based motion planning algorithms for complex food preparation workflows, • Design and implement trajectory optimization systems that balance speed, safety, and precision across multi-step recipes, • Develop robust path planning algorithms that handle dynamic obstacles and changing kitchen environments, • Create adaptive planning systems that can replan in real-time based on changing conditions or recipe modifications, • Implement global and local planning strategies for efficient task sequencing and executionControl Systems & Real-Time Execution, • Design and implement advanced control algorithms for precise robot motion during food preparation tasks, • Develop real-time control systems that ensure smooth trajectory execution with appropriate safety constraints, • Create feedback control loops that adapt to unexpected situations and maintain system stability, • Implement model predictive control and other advanced control techniques for optimal performance, • Design fail-safe mechanisms and emergency stop procedures for safe operation in commercial environmentsRecipe Planning & Task Coordination, • Develop high-level planning systems that translate recipes into executable robot commands and motion sequences, • Create intelligent task scheduling algorithms that optimize workflow efficiency across multiple preparation steps, • Design coordination systems for managing complex multi-ingredient recipes with timing constraints, • Implement planning algorithms that can handle recipe variations and ingredient substitutions, • Develop systems for dynamic replanning when recipe modifications or interruptions occurPerformance Analysis & Optimization, • Analyze planning and control performance across different recipes and operational conditions, • Optimize trajectories and control parameters for maximum throughput while maintaining food quality and safety, • Develop metrics and monitoring systems to evaluate planning efficiency and execution accuracy, • Create data collection and analysis pipelines to continuously improve planning and control algorithms, • Implement performance benchmarking systems for planning and control subsystemsSystem Architecture & Integration, • Contribute to overall robotics software architecture design with focus on planning and control subsystems, • Design clean interfaces between planning/control algorithms and perception, manipulation, and execution systems, • Lead integration of planning systems with real-time control and safety monitoring components, • Establish software engineering standards and best practices for planning and control code, • Mentor junior engineers and drive technical decision-making for planning and control initiativesRequired Qualifications - Technical Expertise, • BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or related field, • 7+ years of professional experience in robotics software development with focus on planning and control, • Expert-level proficiency in Python and/or C++ with strong software engineering fundamentals, • Deep understanding of motion planning algorithms including sampling-based, optimization-based, and learning-based approaches, • Extensive experience with trajectory optimization, path planning, and trajectory smoothing techniques, • Proven experience leading and shipping complex robotics planning and control projects, • Strong background with real-time control systems and feedback control designDomain Knowledge, • Advanced knowledge of robotic motion planning including RRT, PRM, and optimization-based planning methods, • Experience with trajectory optimization techniques and numerical optimization methods, • Understanding of control theory including PID, model predictive control, and adaptive control strategies, • Knowledge of robot dynamics, kinematics, and constraint-based planning, • Experience with real-time systems and deterministic control loop implementationPersonal Attributes, • Excellent mathematical skills, especially with geometry, optimization, control theory, and linear algebra, • Strong problem-solving abilities with systematic approach to complex planning and control challenges, • Leadership experience with ability to mentor junior engineers and drive technical initiatives, • Comfort with working in a fast-paced startup environment with startup-oriented hours, • Commitment to working onsite five days a week to contribute to positive in-office culture, • Passion for robotics and food automation technologyDesired Qualifications, • Startup experience with track record of shipping working products under tight deadlines, • Robotics research experience, including publications in motion planning, control, or related fields, • Experience with the robotics tech stack including Linux, ROS, OpenCV, CUDA, • Knowledge of calibration, state estimation, and sensor fusion for planning and control, • Experience with basic mechatronics and electronics relevant to control systems, • Background in manufacturing automation, food production, or industrial robotics, • Experience with machine learning approaches to motion planning and control, • Knowledge of multi-robot coordination and task allocation algorithmsKey Projects You'll Lead, • Developing next-generation recipe planning systems for complex multi-step food preparation, • Implementing advanced trajectory optimization frameworks for high-speed, precise motion, • Creating adaptive planning algorithms that handle dynamic kitchen environments, • Leading integration of planning and control systems with perception and manipulation subsystems

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 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 Location: San Francisco, CA (Remote/Hybrid Available) What is Verse? Organizations today are under growing pressure to navigate the transition to clean energy — not just to meet sustainability goals, but to manage risk, control costs, and build long-term resilience. Yet the complexity of energy markets and a lack of accessible tools have made it difficult for most companies to take meaningful action. Verse was created to change that. Our mission is to make the case for clean energy irrefutable. Through our AI-powered platform, Aria, we help organizations plan, procure, and operate clean energy to achieve their financial and sustainability goals. Verse transforms clean energy ambition into action — giving businesses the clarity and confidence to lead in a rapidly evolving energy landscape. The Role As a Senior Software Engineer focusing on Machine Learning at Verse, you will drive the development and implementation of applications and pipelines across a diverse range of data sources including time series, text, and images. You will work closely with our Data Science team deploying energy forecasting and estimation models into production and create tools for structuring and organizing the data that feed these models. As an advanced technical leader in the Python ecosystem, teammates will look to you for best coding standards and conventions. Additionally, your skills will guide the progression of internal generative AI tools and the evolution of our Aria Assistant product. You will leverage frontier foundation models such as OpenAI GPT, Anthropic Claude, Google Gemini, and Meta's Llama to build solutions that enhance our capabilities. Key Responsibilities • Foster a culture and mindset of well-designed systems, test-driven software, and transparent communication with a high caliber of mutual respect and consideration for stakeholders, • Read and write a lot of Python: implementing, maintaining, and promoting best practices and hygiene in our Python code repository for others to follow and emulate, • Develop, train, test, refine, and deploy forecast models in production, • Collaborate with our optimization and analytics team members to write shared libraries, design and implement robust solutions intended for high performance with large datasets and complex computations, • Ensure data quality and integrity throughout the data lifecycle, • Integrate internal and external user applications with frontier generative AI models, • Shape and guide the team's AI/ML strategy with your technical input and execution, • 5+ years of experience delivering production-quality software with increasing levels of ownership and technical leadership., • Fluent in Python and expertise with libraries like NumPy, Pandas, and scikit-learn, • Strong background in statistical analysis and computational mathematics with first principles knowledge of machine learning techniques, • Fundamental understanding of modern AI/ML technologies and their application in commercial environments., • Proficiency in working with large datasets and data processing (streaming and batch) solutions for analytical workloads, • Technical leadership and commitment to delivering high quality software on time or ahead of schedule, and adhering to best software development practices, • Master's degree or PhD in a related field, • Familiarity with cloud-native ecosystem, • Advanced experience developing and deploying applications built on frameworks such as PyTorch or TensorFlow, and proficiency working with natural language processing libraries like spaCy, NLTK, Polyglot, etc, • Practical knowledge of and hands on experience with model inference, training, retrieval augmented generation (RAG), and fine tuning (e.g. PEFT), • Understanding of application-specific architectures such as CUDA, GPUs, and TPUs, • Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first, • Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders, • Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection $160,000 - $194,000 This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Benefits and Employee Perks • Competitive compensation and equity grant at a high-growth start up, • Comprehensive benefits package including medical, dental and vision insurance, and 401k, • Flexible hours and unlimited PTO

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.

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will…- Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.- Build reliable and scalable tools and frameworks to support Autonomous Vehicle (AV) development.- Participate and share ideas in technical and architecture discussions, collaborating with Researchers and Engineers. Qualifications:- MS/PhD or Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.- Demonstrated software engineering experience through previous internships, work experience, coding competitions, and/or research projects. - Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts.- Experience using languages such as Python, Go, C++, or Rust.- Experience working in a team environment on a common codebase.- Ability to learn new technologies quickly.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Experience programming in C++ for a real world robotic system.- Comfortable with Linux/other unix environments.- Comfortable with Docker.- Comfortable with git workflows.- Experience in robotics or machine learning.- Experience with automated testing.- Experience working in an Agile/Scrum environment.- Experience working with internal cross-functional partners/stakeholders when building software frameworks.-Experience in one or more of the following areas: application development, distributed systems, data storage and processing, parallel computing environments, emulation at scale, software performance, optimization, and profiling, concurrency and determinism, test-driven and API-driven development methodologies, system design/architecture, algorithms, data structure design, and low level threading. Front-end development and tools.The US yearly salary range for this role is: $109,000 - $171,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:Waabi provides a competitive benefits package that includes:- Competitive compensation and equity awards- Health and Wellness benefits encompassing Medical, Dental and Vision coverage- Unlimited Vacation- Flexible hours and Work from Home support- Daily drinks, snacks and catered meals (when in office)- Regularly scheduled team building activities and social events both on-site, off-site & virtually- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games,etc), multiple collaborative working spaces and a gorgeous patio!(when in office)- As we grow, this list continues to evolve! Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. 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 Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week. 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 Engineering: Quizlet's Product Engineering organization builds the core experiences that help millions of students and teachers achieve their learning goals. We collaborate across teams to achieve user-centric outcomes, focusing on developing intuitive interfaces, engaging learning tools, and robust, scalable systems. You’ll be joining a passionate group of engineers, designers, product managers, and data scientists dedicated to solving real-world educational challenges. Our teams operate with autonomy, embrace experimentation, and are deeply committed to user-centric design. We value transparency, inclusivity, and collaboration at all levels. About the Role: We’re looking for a Senior Software Engineer to design, build, and deliver impactful, user-focused features that are core to Quizlet’s success. You’ll work closely with other engineers, product managers, designers, and data scientists to turn ideas into scalable, high-quality solutions that serve millions of learners globally. As a senior individual contributor, you’ll take ownership of complex projects from concept through deployment, applying sound technical judgment and balancing trade-offs between user experience, performance, and maintainability. You’ll play a key role in shaping architecture, driving best practices, and mentoring teammates through code reviews, design discussions, and technical guidance. This role may span consumer web experiences, mobile platforms, or shared systems - flexibility, curiosity, and strong problem-solving skills are key. Our (non-exhaustive) Tech Stack: - Languages: Go, PHP, Typescript - Frameworks: React, Next.js, UIKit, SwiftUI, Jetpack Compose - Data: MySQL, PostgreSQL, Spanner, BigQuery - Misc: GCP, Datadog, Growthbook, Rollbar, Pub/Sub, Redis/Valkey, Docker/Colima, Kubernetes We’re happy to share that this is an onsite position in our New York or 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: • Deliver end-to-end projects that directly contribute to Quizlet’s product and business priorities - from planning and design through implementation, testing, and rollout, • Collaborate with cross-functional partners in Product, Design, and Data Science to translate ideas into technically sound and impactful solutions, • Build and maintain high-quality, scalable systems that reflect a strong understanding of your team’s domain and its impact on learners and advertisers, • Apply industry best practices and modern technologies to improve code quality, system reliability, and developer efficiency, • Lead and contribute to technical discussions, offering thoughtful insights and helping to align the team on the best path forward, • Break down complex projects into actionable, well-scoped tasks and execute them efficiently with minimal oversight, • Proactively identify and resolve issues before they affect timelines, quality, or user experience, • Mentor and support junior engineers through code reviews, pairing sessions, and sharing domain knowledge, • Continuously seek opportunities to improve engineering practices, from build systems to deployment pipelines to observability toolsWhat you bring to the table:, • 5+ years of experience in software engineering, ideally in fast-paced, product-focused environments, • Proven ability to deliver complex projects end-to-end - from design and implementation through testing and deployment, • Solid foundation in backend, mobile development or full-stack, with a focus on building scalable, high-quality systems and user experiences, • Experience working with cloud infrastructure, distributed systems, and modern CI/CD practices, • Familiarity with microservices, event-driven systems, and data storage technologies, • Strong problem-solving skills and the ability to make thoughtful, data-informed technical decisions, • Curiosity to explore and apply emerging technologies and frameworks, • Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams, • Experience mentoring or guiding peers and contributing to a culture of learningBonus points if you have:, • Experience building and scaling education-focused or consumer-facing apps or subscription platforms or in an Ads publisher stack, • Worked in environments with high data or performance requirements, • Contributed to mobile-first product initiatives or multi-platform development, SDUI, • Hands-on involvement in incident response or operational engineering practicesCompensation, 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 401k 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. 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 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 Staff Engineer is responsible for leading our technical foundation, initially collaborating with the Money - Finance engine teams to drive innovation, with the opportunity to work with other teams as well, taking on a mentoring role, designing scalable systems, and influencing cross-functional initiatives, in a hands-on position where they will make key technical decisions and build critical services.Responsibilities • Solve Critical Problems: Identify, prioritize, and solve technical challenges impacting growth., • Lead and Collaborate: Architect new solutions, Implement newer patterns/framework that other candidates can use and implement, Identify potential systemwide solutions, guide teams, ensuring solutions meet business goals and technical standards., • Mentor & Develop: Foster a culture of learning, guiding junior engineers., • Innovate & Improve: Drive continuous improvement in our platform and processes.Requirements, • Bachelor’s degree in a technical discipline such as computer science, software engineering, or a related field., • 12+ years of experience as Software Engineer, in a fast-paced, high-growth environment, working with cloud platforms such as AWS, GCP, or Azure., • Strong expertise in backend development with proficiency in one or more programming languages such as Java, Python, PHP, or similar; as well both relational and NoSQL databases., • Solid understanding of distributed systems, system design principles., • A can-do attitude and creative, flexible problem solving abilities, and the ability to think critically in ambiguous situations., • Being a team player, that includes review, pair programming, collaboration in one task, mentoring or being mentored., • Strong written and verbal communication skills, with the ability to present technical concepts to non-technical stakeholders., • Desirable experience with mobile technologies or mobile payment systems with the fraud and identity aspects of fintech, as well in building and maintaining large-scale systems used by millions of users.Benefits, • 100% Company-funded Health and Life Insurance for employees and immediate family members, • Indefinite-term contract, • 20 days of vacations, • Phone finance, Headphone, home office equipment and fitness perks., • $2,000 USD annual Co-working Travel perk

Job DescriptionAbout Our Team Chef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world. As the rise of LLMs like ChatGPT has shown, AI has the potential to drive immense change. However, we believe AI’s biggest impact will be in the physical world, given industries like manufacturing, food, and transportation represent 90% of global GDP. We're starting with food, with a goal to put an intelligent robot in every commercial kitchen in the world. We have signed multiple multi-year contracts with various large food companies and we are growing fast. We're backed by investors like Kleiner Perkins, Construct, Bloomberg BETA and Promus Ventures. We have a great team, where you will be surrounded by talented engineers and tech leaders from companies like Cruise, Zoox, Google, Verb Surgical, Tesla, Nuro, Vicarious, Amazon Robotics, Strateos, Built Robotics, Facebook, Plenty, Yelp, and Microsoft. About the Role As a Robotics Software Engineer at Chef Robotics, you’ll help shape the future of automation in food production. You'll play a critical role in designing and developing a scalable manipulation system that powers our robots to prepare millions of meals with precision, consistency, and reliability in high-throughput environments. As a small team, we are focused on building a positive in-office culture. We are looking for individuals who are available to work onsite at the office five days a week and can work start-up-oriented hours.In this role, you will: • Develop classical or ML/RL-based motion planning and manipulation algorithms that work across thousands of different foods with varying physical properties (stickiness, density, viscosity, etc.)., • Develop novel algorithms to learn ingredient properties on-the-fly and intelligently adapt manipulation parameters., • Incorporate new sensor data (e.g., force control, cameras) for trajectory optimization and metrics to measure ingredient manipulation performance., • Analyze manipulation performance across ingredients and optimize trajectories for throughput., • Contribute to overall software architecture design and standards, including designing interfaces between subsystems., • Champion engineering excellence, ensuring high-quality, well-structured, and well-tested code., • Stay up-to-date with the latest robotics research and apply insights in a practical way to our system. What You Bring:, • BS, MS, or PhD in computer science, robotics, electrical engineering, mechanical engineering, or related field., • 5+ years of experience in Python and/or C++., • Experience leading and shipping complex software projects., • Understanding both classical and machine/reinforcement learning approaches to robot manipulation, and the tradeoffs between various techniques., • Experience with robotic waypoint generation, path planning, and trajectory smoothing., • Experience with common deep learning frameworks like Tensorflow or Pytorch., • Excellent software engineering fundamentals., • Excellent mathematical skills, especially with geometry, probability and statistics, linear algebra, and machine learning.Bonus Points:, • Startup experience., • You’ve shipped working products under tight deadlines., • Robotics research experience, including publications., • Experience with trajectory optimization., • Experience with the robotics tech stack, e.g., Linux, ROS, OpenCV, CUDA., • Experience with calibration, state estimation, and sensor fusion.

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 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 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.

A leading financial technology company in San Francisco seeks a Machine Learning Engineer (Modeling) to enhance its fraud detection systems.The ideal candidate has over 3 years of machine learning experience, a relevant degree, and familiarity with technologies such as PyTorch and cloud platforms.Th

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.

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 Staff Software Engineer, you will lead architectural efforts for Quizlet’s identity, messaging, and trust & safety platforms. You’ll design secure and scalable systems for authentication, consent, and privacy, while guiding other engineers and influencing cross-team initiatives. Your work will ensure our infrastructure is resilient, compliant, and built for long-term growth. 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: • Lead architecture for authentication, authorization, and account management systems., • Build frameworks for consent management, secure messaging, and user protection., • Modernize legacy systems to improve scalability, observability, and compliance., • Partner with product, legal, and data teams to align trust & safety priorities., • Mentor engineers and help define long-term technical standards.What you bring to the table:, • 8+ years of backend/platform engineering experience, with expertise in identity or trust systems., • Demonstrated success leading cross-functional technical initiatives., • Strong knowledge of secure system design and data protection., • Hands-on experience with Node.js, Go, Python, or TypeScript., • Ability to influence technical direction and mentor peers.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 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 Description Mercor is seeking experienced software engineers to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues derived from major open-source repositories through hands-on coding, debugging, and validation. It’s an opportunity to contribute your technical expertise to cutting-edge AI research while working independently and remotely on your own schedule. Key Responsibilities * Analyze and resolve software issues drawn from large open-source codebases * Write, test, and validate code solutions that address specific bugs or system inefficiencies * Implement and refine APIs, database structures, and backend components supporting AI workflows * Configure local development environments to replicate and investigate complex issues Ideal Qualifications * 1+ years of professional software engineering experience in a fast-paced or technically demanding environment * Proven contribution history to one or more of the following open-source repositories is a must: * astropy/astropy * django/django * matplotlib/matplotlib * pytest-dev/pytest * scikit-learn/scikit-learn * sphinx-doc/sphinx * sympy/sympy * Advanced proficiency in Python, API development, and structured testing * Excellent analytical, written, and communication skills * Exceptional attention to detail and persistence in debugging complex systems * Residency in one of the following regions: United States, United Kingdom, Canada, Australia, or New Zealand. More About the Opportunity * Fully remote and asynchronous — complete work on your own schedule * Expected workload: 10–20 hours per week, with flexibility to scale up to 40 hours * Duration: open-ended engagement with potential for long-term collaboration * Project start date: mid to late October (applications reviewed on a rolling basis) Compensation & Contract Terms * Independent contractor engagement through Mercor * Hourly compensation, paid weekly via Stripe Connect * Payments based on services rendered; contractors maintain full control over their work schedule and methods Application Process * Submit your resume and include links to your GitHub profile and relevant repository contributions * Applications reviewed continuously; shortlisted professionals will be contacted for next steps * Typical response time: within one week of submission About Mercor * Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations * Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey * Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects

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 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 Staff Software Engineer, you will work on critical infrastructure powering identity, account management, and trust and safety systems that serve millions of learners. You'll partner with experienced engineers and product managers to improve our secure sign-up/login flows, support compliant messaging, and implement scalable systems for user protection and privacy. 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: • Build and maintain secure authentication and account services (OAuth2, MFA, SSO), • Help scale our user messaging platform, integrating systems like Braze, • Implement features that support moderation, privacy requests, and abuse detection, • Ensure regulatory compliance through thoughtful consent flows and data handlingWhat you bring to the table:, • 10+ years of backend/platform engineering experience, with 5+ years in identity, messaging, or trust systems, • Experience in modernizing legacy account systems and building privacy-centric user platforms, • Hands-on experience in security, compliance, and messaging infrastructure (e.g., rate limiting, consent management, opt-in flows), • Hands-on experience with Node.js, Go, Python, or TypeScript., • Familiarity with tools like Braze, Segment, or equivalent martech stacks., • Passion for building platforms that enable scale, intelligence, and trust, • Fluency with platform security, privacy, and system design., • Proven ability to lead architectural transformation while shipping continuously, • Strength in cross-functional collaboration, especially with legal, marketing, and productCompensation, 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 $230,240 - $314,000, 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 401k 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.

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