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Job Description . Applied AI/ML Engineer San Francisco, New York, Kansas City, or Remote (US) Replica provides data about the built environment and ways people interact with it. With better data, human-context and an intuitive design, Replica helps public and private sectors make informed, effective, and responsive decisions. By showing how people live, move and work, we contextualize hard choices, allowing our clients to see around corners and understand the trade-offs surrounding their decisions. Whether for a city planner increasing public transit to underserved neighborhoods or for a grocery chain evaluating where to open a new location, Replica’s insights lets clients make more informed, people-centered decisions. We spun out of Alphabet in 2019 and recently secured series B funding from venture firms including Founders Fund, Innovation Endeavors, Sidewalk Labs, Firebrand Ventures, and Revolution’s Rise of the Rest Seed Fund. Today, we are a team of 34 employees with offices in San Francisco, New York, Kansas City and Remote. We value our customers, believe in being resourceful, and work in service of each other to scale our product. As we build our team, we are committed to pursuing and bringing together a diverse workforce and creating an environment of inclusion. We value our differences and we encourage all to apply. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. The Role We’re looking for an Applied AI/ML Engineer to help design, implement, and scale advanced models that power Replica’s urban simulation and analytics products. This role is scoped at the Senior level or above: we expect candidates to operate at least at a Senior Engineer level, and for exceptional candidates, we are open to Staff or Principal-level. You’ll sit at the intersection of research and engineering, translating applied methods into production-ready models that deliver meaningful insights about mobility, land use, and activity patterns across the US. Unlike our infrastructure-oriented teams, your work will focus on algorithms, modeling, and applied AI/ML techniques that improve Replica’s products and unlock new capabilities for customers. Organizational Relationships Reports to: Director of Engineering Works closely with: Product and Data Science teams and other engineers on the Data Production team Collaborates with: Customer Success and Strategy teams to ensure models align with product needs and customer use cases Responsibilities • Design, prototype, and implement applied AI/ML models for mobility, activity, and behavioral modeling at scale., • Drive improvements to core models for routing, mode choice, demand estimation, and geospatial forecasting — balancing research innovation with production readiness., • Partner closely with Product and Data Science leadership to set technical direction for modeling initiatives, ensuring they align with customer and business needs., • Evaluate new data sources (e.g., vendor-provided mobility data, traffic sensors, geospatial layers) for quality, coverage, and fitness-for-use in Replica’s models., • Develop new algorithms to fuse Replica’s proprietary data with external sources (e.g., traffic sensors, land use, census, streaming data)., • Evaluate model performance, define success metrics, and iterate quickly to improve accuracy, robustness, and fairness., • Collaborate with data production engineers to transition prototypes into robust, production-quality systems used nationwide., • Contribute to modeling frameworks and shared libraries, mentoring peers and raising the technical bar across the team., • Stay current with advances in machine learning, optimization, and geospatial modeling, applying them pragmatically to Replica’s challenges. Minimum Qualifications, • Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or related field; advanced degree (MS/PhD) preferred., • 4+ years of professional experience in applied ML/AI, research engineering, or related roles., • Strong Python skills with experience in ML libraries (PyTorch, TensorFlow, scikit-learn) and numerical computing (numpy, pandas, scipy)., • Experience designing, training, and deploying AI/ML models in production., • Hands-on experience with large-scale data sets, especially geospatial or time-series data., • Familiarity with distributed computation frameworks (Dask, Spark, Ray) and cloud environments (GCP preferred)., • Proven ability to communicate technical decisions and tradeoffs clearly to both technical and non-technical stakeholders.What We Value, • We work in the service of others, • We understand that talent + diversity + curiosity + relentlessness wins, • We believe walking > talking, • We operate with thoughtful urgency, • We communicate openly and directly, • We build products people useBenefits, • Our people! We work as a team and are excited to contribute to city planning, • Competitive salary based on experience and potential for impact, • Equity at an early stage startup, • Health benefits including medical, dental, vision, and FSA options, • 401k account + employer safe harbor contribution, • Offices in San Francisco, CA, New York and Kansas City, • Replica is committed to fair and equitable compensation practices., • The base salary range for this position is $157,500 to $239,800. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to relevant qualifications, depth of experience, skill set, certifications, training, education, and specific work location. The compensation packages may be adjusted based on the candidate’s work location, due to differences in the cost of living for the given location. Our position titles may also span multiple career levels., • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., • To perform this job successfully, an individual must be able to perform each essential function satisfactorily., • The requirements listed are representative of the knowledge, skill and/or ability required., • Ability to operate at both a strategic/conceptual level and at a detailed, operational level metrics driven; highly disciplined, • Must have strong interpersonal skills, maturity and good judgment and be capable of communicating with a diverse range of individuals, • A hands-on, action-oriented approach that fits well with the entrepreneurial, fast-paced culture, • Engaging leadership style that builds and sustains credibility with colleagues, clients and other stakeholders Powered by JazzHR OmyiLKdP3z

Job DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision-making and propel Varo's growth. You will lead the Data Science function within Varo’s comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending.What you'll be doing • Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo’s core business verticals., • Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision-making., • Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions., • Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo’s risk framework and regulatory requirements for fairness and transparency., • Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately., • Team Leadership & Mentorship: Attract, hire, mentor, and coach a high-performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross-functional collaboration.You'll bring the following required skills and experiences, • 8+ years of experience in Data Science, Applied Science, or a related quantitative field., • Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement)., • Technical Fluency: Expert-level proficiency in Python and its scientific computing stack (Pandas, Scikit-learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real-world datasets., • Data Ecosystem Experience: Hands-on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure).

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. Who are we looking for?We are hiring a backend engineer with ML/AI experience onto our Automation & Applied AI team. Our team is focused on harnessing Applied AI and large language models (LLMs) to build net-new, externally facing products and to drive internal efficiency through automation, intelligent tooling, and AI-native user experiences.What you will do: • Build and maintain AI-powered applications: Design production-grade software that integrates machine learning models into real-world systems, • Fine-tuning and prompt engineering: Adapt base models to specific product needs through techniques like few-shot prompting, retrieval-augmented generation (RAG), or fine-tuning, • Tooling and infrastructure: Develop internal tools, orchestration systems, and evaluation frameworks to support ML product development, • Experimentation: Run A/B tests and analyze performance metrics to guide model and product iterations, • Leadership and autonomy: Participate in roadmapping and architecture discussions, leading large projects from initial inception to production, • Cross-functional teamwork: Work across disciplines, from infra to UX, to ship full-stack AI featuresThe ideal candidate will have:, • 7-10+ years of full-time software engineering experience, with at least 2+ years working with ML/AI systems in production, • Proven experience building production applications that incorporate ML models (e.g., LLMs, recommendation systems, classification models), • Experience with serving and scaling ML models, • Startup or SaaS experience preferred, with an ability to perform in a fast paced environment dealing with ambiguous technical challenges, • Experience with Python, Golang, & AWS cloud infrastructure (or similar technologies)Compensation:, • The cash compensation range for this role is $209,000 - $232,000 Linkedin's Top Startups 2025 Forbes Next Billion Dollar Startups 2023 G2 Fastest Growing Products 2024 Benefits • Unlimited PTO + 10 company holidays, • Pre-Tax commuter benefits, • 100% covered health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend, • In office snacks and free dinner when working past 7pm

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

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Team: Quizlet’s marketing team is responsible for driving brand awareness, user engagement, and subscription growth. This role will report to the Head of Product Marketing, and it will be highly cross-functional. About the Role: As a Lead Product Marketing Manager at Quizlet, you’ll define how we connect with and inspire millions of students and teachers worldwide. This highly strategic role sits at the crossroads of product, storytelling, and go-to-market leadership — driving impact across the full funnel, from acquisition and activation to engagement and retention. You’ll lead cross-functional go-to-market strategies for major launches and campaigns, collaborating with Product, Growth, Lifecycle, Paid Marketing, and Brand/Social leaders. With a strong command of insights, positioning, and narrative development, you’ll ensure Quizlet’s story is consistent, compelling, and drives measurable business outcomes. You’re a confident communicator and strategic storyteller who can synthesize complex ideas into compelling narratives. You excel at leading cross-functional alignment, bringing clarity to ambiguity, and driving consensus among senior stakeholders. We’re looking for a decisive, data-informed leader who can interpret results, shape business strategy, and guide teams toward shared understanding and impact. While this role doesn’t include direct people management, it requires exceptional leadership presence — someone who can advise, influence, and inspire peers and executives across the organization. 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 go-to-market strategy for major launches and cross-product initiatives., • Set the strategic direction for audience targeting, positioning, and messaging., • Partner with cross-functional leadership to align product, brand, and growth goals., • Translate complex research and insights into strategic recommendations that shape product roadmaps and marketing execution., • Oversee integrated campaigns that engage students, teachers, and other key audiences across owned, paid, and community channels., • Guide and elevate the creative process — from messaging frameworks to naming and narrative development., • Analyze performance data to drive continuous learning and scalable playbooks., • Own PMM foundations, including competitive analysis, audience strategy, and differentiated value propositions., • Mentor junior PMMs and contribute to the evolution of the team’s best practices.What you bring to the table:, • 10+ years in product marketing or related roles, including time in consumer tech and experience leading complex, cross-functional initiatives., • Demonstrated success in leading major product or platform launches with measurable business impact., • Exceptional storytelling and messaging development skills — able to articulate a clear, differentiated vision across diverse audiences and channels., • Deep experience leveraging research, experimentation, and data to guide product positioning, segmentation, and go-to-market strategies., • Proven ability to influence and align executive and cross-functional partners across Product, Design, and Marketing., • Strong strategic thinking with the ability to balance high-level vision and executional detail., • Expert communication and presentation skills — comfortable shaping strategy and inspiring alignment at all levels of the organization., • Experience leading comprehensive market research programs and competitive intelligence efforts., • Strategic understanding of key product and marketing metrics, with the ability to evaluate investment opportunities and tradeoffs., • Thrives in fast-paced, ambiguous environments and brings a scaling mindset to team and process development.Bonus points if you have:, • Familiarity with the Ed Tech landscape and/or Gen Z consumers, • Experience working within a freemium consumer subscriptions business, • Experience driving cross-selling and onsite marketing campaigns, • Experience at a company that specializes in user-generated content, • Some background in both growth and core product marketing, • Experience with AI product positioning and launchesCompensation, 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 $200,000 - $235,000, 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 (and we expect you to take them!), • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, 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, 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 DescriptionThe Principal Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Principal Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Principal Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. About TendoMake an impact—join our team! We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job LocationTendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.Responsibilities • Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment., • Develop custom data models and algorithms to apply to data sets., • Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes., • Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows., • Develop analytic data sets and use statistical software to analyze data sets as requested., • Use third party software tools in the development of queries and visualizations., • Coordinate with different functional teams to implement models and monitor outcomes.Requirements, • Bachelor’s degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience., • Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines., • 7+ years of experience in data analysis software, with data science experience preferred., • 7+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling., • Track record of applying AI or ML models to solve practical, real-world problems—ideally in healthcare or similar complex domains., • Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc., • Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning., • Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc., • Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows., • Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering., • Strong problem-solving skills with an emphasis on data analytics., • Excellent written and verbal communication skills for coordinating across teams.Nice to Have, • Experience in the healthcare setting preferred., • Experience with Epic EMR data preferred, but not required.

Job Description Our Client Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs. By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences. 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 that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes 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. Location: New York, NY Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance. * Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding. * Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data. * Build agents capable of operating natively on real-world audio inputs. * Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications. * Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions. * Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments. * Participate in continuous improvement of the ML infrastructure and processes for scalability and performance. Qualifications * Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. * 1-6 years of professional experience in ML engineering. * Strong programming skills in Python (TypeScript experience is a plus). * Hands-on experience with ML frameworks such as PyTorch or TensorFlow. * Familiarity with cloud environments and infrastructure (preferably AWS). * Strong understanding of data pipeline design, real-time inference, and model monitoring. * Excellent communication skills with the ability to engage directly with customers and stakeholders. Core Experience * Proven experience building and deploying ML models into production environments. * Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring. * Experience with audio-focused ML projects or similar domains involving unstructured data. * Proficiency in building scalable data pipelines for model training and evaluation. * Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.

Job Description Are you passionate about the future of AI and its potential to transform business operations? Join ChatBotz.ai, an innovative company at the forefront of developing intelligent chatbot solutions. We are seeking a highly skilled and motivated Product Manager to lead our Conversational AI team. As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving the development and success of our cutting-edge chatbot technology. You will be responsible for overseeing the entire product lifecycle, from ideation to launch and beyond. Your expertise in Conversational AI will shape the future of our chatbot solutions, enabling us to provide personalized and interactive experiences for users. Responsibilities: • Lead the product strategy and vision for our Conversational AI solutions, ensuring alignment with the company's overall goals and objectives., • Conduct market research and analysis to identify customer needs, trends, and opportunities in the Conversational AI space., • Collaborate with cross-functional teams including engineering, design, and business development to define product requirements and specifications., • Drive the product roadmap, making data-driven decisions and prioritizing features and enhancements based on customer feedback and market demand., • Work closely with the engineering team to define technical requirements and ensure successful implementation of new features and functionalities., • Monitor product performance, conduct user testing, and gather feedback to continuously improve the user experience and optimize product performance., • Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is a plus., • Proven experience as a Product Manager in the AI or Conversational AI industry., • Strong knowledge of Conversational AI technologies, including Natural Language Processing (NLP) and Machine Learning (ML)., • Familiarity with chatbot platforms, frameworks, and tools., • Excellent analytical skills with the ability to translate complex technical concepts into clear product requirements., • Strong leadership and communication skills to effectively collaborate with cross-functional teams., • Experience in Agile software development methodologies.

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 DescriptionDescription: Why We Need You – The Mission & Our Vision Veryon is a leading software and technology company that exists to enable aviation teams around the world to improve efficiency and safety. Our products maximize uptime for aircraft maintenance teams through our customer driven innovation and world class customer service. Veryon has more than 7,500 customers in 137 countries, we service general and business aviation, military/defense, commercial aviation, and OEM industries. Our core values drive us, in business, internally, and in our everyday lives. We’re looking for a seasoned Enterprise Account Executive to join our Go to Market team. You’ll be responsible for managing an existing book of business and bringing in new business. You’ll be at the forefront of driving sales of our Veryon Tracking products to global commercial airlines. You’ll collaborate with marketing and customer success to develop a robust sales pipeline, be able to forecast and plan. You’ll achieve and exceed quota and grow your book of business. What You’ll Accomplish - Your Performance Objectives Objective #1 In your first 30 days, you will develop a deep understanding of the commercial aviation Tracking + solution ecosystem. • You will leverage your experience to quickly learn and master the Veryon Tracking product suite., • You will develop proficiency in assessing customer needs and demonstrating and showcasing our cutting-edge products., • You will be able to conduct mock demos with various leaders of the Veryon team., • You will collaborate and build relationships with Product, Engineering, and Customer Success teams to prepare a go-to-market territory plan. Objective #2 In your first 90 days, you will partner with marketing & product marketing to build a robust sales pipeline. • Prospecting, building relationships, conducting product demos, and closing deals with the airline carriers around the world., • Working closely with product marketing, product, engineering, finance, customer success and the executive team to move the pipeline from prospect to customer., • You will have your territory plan in full motion with the top 30 prospects mapped and actionable engagement plans established. In your first 6-9 months, you will travel to key prospects and industry events to meet customers and close deals. • You will have closed 2-3 significant deals and continuously expanding your sales pipeline., • You are continuing to grow your sales pipeline and be able to forecast potential future business. Trusted advisor to customers and colleagues: You have established domain expertise with commercial carriers around the globe, or the sales acumen to develop those connections. You're passionate about diving deep into our product offerings., You have a love for aviation, data and technology, and a deep desire to engage colleagues around delivering groundbreaking solutions to customers. In the commercial airline world, people want to speak with you to exchange ideas on innovation and collaborate on driving operational effectiveness in the industry. Sales Closing Skills: With a proven ability to use consultative sales techniques, you've closed deals north of $50,000 in the global commercial aviation market, AI software or machine learning markets. You're a planner, with sharp focus and attention to detail, orchestrating resources and maintaining comprehensive records across all your prospects. Whether they're ready to make a move now or later, you have the skill to bring deals across the finish line. Business and Technical Acumen: As our customer's "go-to," you're adept at articulating every aspect of our product line, onboarding processes, and operational advantages. Your deep product knowledge pairs seamlessly with a strong understanding of our business domain, and how we add real value for our customers. Expect to juggle long sales cycles (6+ months) and complex customer organizations while collaborating with a dynamic, cross-functional team including sales, product, engineering, and executives. Gets Stuff Done / Accountable: You have shown a track record of hitting and exceeding performance goals in a quota-carrying role within an enterprise software organization. How We Work – The Core Values That We Live By Fueled By Customers: We work hard so our customers can get more uptime. A customer-centered approach is on the forefront of our minds. We’re big on transparent communication with our customers, and we celebrate their wins internally because we love the positive impact we’re making on their lives. Win Together: We focus on the “we” and not the “me”. Collaboration is key, we value diverse backgrounds and skill sets. Our mission is to win as a team, we think everyone plays an integral part in our success. Make it Happen: When we make a commitment, we get it done. We take a proactive approach, we commit, we adapt to evolving landscapes and problems, we tackle problems at every difficulty level. Innovate to Elevate: We set the standard in aviation by embracing and advancing cutting edge technology. We take a fail-forward approach using everything as a learning experience. We encourage creativity and experimentation within our teams. This helps us set the bar high and provide world class expertise in aviation. #LI-Remote Requirements:

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 Team: The Personalization & Recommendations ML Engineering team builds the core intelligence behind how Quizlet matches learners with content, activities and experiences that best fit their goals. We power recommendation and search systems across multiple surfaces, from home feed and search results to adaptive study modes. Our mission is to make Quizlet feel uniquely tailored for every learner by combining cutting-edge machine learning, scalable infrastructure and insights from learning science. You’ll collaborate closely with product managers, data scientists, platform engineers and fellow ML engineers to deliver personalized learning pathways that drive engagement, satisfaction and measurable learning outcomes. About the Role: As a Senior or Staff Machine Learning Engineer on the Personalization & Recommendations team, you’ll design and build large-scale retrieval, ranking, and recommendation systems that directly shape how learners discover and engage with Quizlet. You’ll bring deep expertise in modern recommender systems — from deep learning–based retrieval and embeddings to multi-task ranking and evaluation — and help evolve Quizlet’s personalization stack to power adaptive, effective learning experiences. You’ll work at the intersection of machine learning, product design, and scalable systems, ensuring our recommendations are performant, responsible, and aligned with learner outcomes, privacy, and fairness. 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.In this role, you will: • Design and implement personalization models across candidate retrieval, ranking, and post-ranking layers, leveraging user embeddings, contextual signals, and content features, • Develop scalable retrieval and serving systems using architectures such as Two-Tower, deep ranking, and ANN-based vector search for real-time personalization across surfaces, • Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training–serving consistency, and robust monitoring, • Partner closely with Product and Data Science to translate learner objectives (engagement, retention, mastery) into measurable modeling goals and experimentation plans, • Advance evaluation methodologies, refining offline metrics (e.g., NDCG, CTR, calibration) and supporting rigorous A/B testing to measure learner and business impact, • Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost at scale, • Contribute to the long-term technical vision for personalization and recommendations, aligning modeling strategy with Quizlet’s AI and product roadmaps, • Stay current with RecSys research and industry trends, bringing relevant advances from top conferences (KDD, WSDM, SIGIR, RecSys, NeurIPS) into production, • Mentor other engineers and applied scientists, fostering technical growth, experimentation rigor, and responsible ML practices, • Champion collaboration, inclusion, and curiosity, helping build a team culture that values diverse perspectives and data-driven problem-solvingWhat you bring to the table:, • 10+ years of experience in applied machine learning or ML-heavy software engineering, with a strong focus on personalization, ranking, or recommendation systems, • Track record of measurable impact, improving key online metrics such as CTR, retention, or engagement through recommender or search systems in production, • Strong hands-on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices — including model registries, feature stores, monitoring, and drift detection, • Deep understanding of retrieval and ranking architectures, including Two-Tower models, deep cross networks, Transformers, or MMoE, and how to apply them in production contexts, • Experience with large-scale embedding models and vector search (e.g., FAISS, ScaNN), including training, serving, and optimization at scale, • Proficiency in experiment design and evaluation, connecting offline metrics (AUC, NDCG, calibration) with online A/B test results to drive product decisions, • Ability to communicate complex technical ideas clearly, collaborating effectively with product managers, data scientists, and engineers across teams, • Growth and mentorship mindset, contributing to team learning and helping raise the bar for modeling quality, experimentation, and reliability, • Commitment to responsible and inclusive personalization, ensuring our ML systems respect learner privacy, fairness, and diverse goalsBonus points if you have:, • Publications or open-source contributions in RecSys, search, or ranking, • Familiarity with reinforcement learning for recommendations or contextual bandits, • Experience with hybrid RecSys systems blending collaborative filtering, content understanding, and LLM-based reasoning, • Prior work in consumer or EdTech applications with personalization at scaleCompensation, 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 $209,920 - $285,000, 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 Description About Us Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. We're a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, we're building AI that understands the structures of thought, not just patterns in data. Our approach combines rigorous research with fast-paced, results-driven execution. We're reimagining the very foundations of intelligence while simultaneously developing product-focused machine learning models in a tight feedback loop, where research fuels application. Founded in 2022, we've raised over $30M from leading Silicon Valley investors, including Khosla Ventures, General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning. Our vision is to create AI systems that transform industries, empowering machines to solve humanity's most complex challenges with precision and insight. Join us to redefine the future of AI by turning groundbreaking ideas into reality. About the Role As a founding Lead Frontend Engineer you will be working on a highly technical interface for deploying AI systems. You'll take ownership of building and iterating on functional prototypes for potential customer use cases, ensuring seamless end-to-end integration across the stack. Additionally, you'll work closely with our research team to create interactive interfaces that bring agentic systems to life. 📍 This is an onsite role based in our SF office (345 California St). Your Focus • Own and develop a vision for how developers discover, onboard, build, and scale applications with Symbolica's new flagship product., • Design and implement intuitive, responsive, and visually polished UI for complex systems, with a strong emphasis on usability and accessibility., • Partner with product and design to translate abstract concepts into clear, elegant user flows and interactive experiences., • Build, test, and iterate on functional prototypes based on real user needs., • Collaborate with researchers, engineers, and product leads to turn ideas into polished features., • Create and maintain a consistent design system and reusable frontend components that balance aesthetics with performance., • Debug performance issues and run A/B tests to continuously improve UX., • Attend developer events and workshops to introduce, prototype, and teach technical audiences how to build and deploy complex multi-agent systems., • Excellent at translating complex ideas into simple, beautiful, and highly usable UI/UX., • Proficient in TypeScript and React., • Equally passionate about design and engineering – you care as much about visual polish, accessibility, and interaction design as you do about clean, scalable code., • Comfortable prototyping quickly and shipping production-ready code., • Experience collaborating with designers or directly owning design systems, style guides, or user interface patterns., • Experience working on machine learning and/or AI projects is a plus., • Experience building scalable, data intensive web apps, including RESTful APIs and GraphQL., • Passion for writing clean, maintainable, and well-documented code., • Competitive salary and early-stage equity package., • A high-trust, execution-first culture with minimal bureaucracy., • Direct ownership of meaningful projects with real business impact.

Job Description We're Hiring: Member of Technical Staff (Core Platform) Full-time | On-site San Francisco, CA | $180K - $300K + Competitive Equity What we're looking for: A full-stack engineer (backend lean) with 2-6 years of experience who has a strong track record of building and shipping high-quality code. You should thrive in early-stage, fast-paced environments and bring deep technical curiosity and a strong work ethic. What you'll do: * Build distributed systems to run thousands of containers in parallel with fast in-memory snapshots and recovery * Design systems that abstract away environment building complexity * Experiment with AI agents that analyze large production codebases and automatically generate realistic PRs * Build AI copilots to improve workflow efficiency * Create systems around humans that make them more efficient at building environments Tech stack: TypeScript, Python, Rust, Distributed Systems, AI Agents, Machine Learning, Reinforcement Learning About us: We build training environments that realistically reflect the work of software engineers. We partner with frontier labs and enterprises to build simulations of complex engineering tasks, helping them train and adapt the next generation of coding agents. Our culture centers around engineering excellence, with emphasis on deep technical ability, curiosity, and dedication. Perks: O-1 visa sponsorship available for exceptional candidates Join a 5-person team founded in 2025 with $10M in funding Interested? Let's talk! #hiring #softwareengineering #AIagents #distributedSystems #startups #sanfrancisco

Job DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for an AI Research Scientist to push the boundaries of how advanced AI can be applied in healthcare. You’ll explore new modeling approaches, design novel architectures, and prototype capabilities that don’t exist yet — always with an eye toward how they can be translated into safe, reliable, and impactful products. This is not a pure research role. At Collate, research is directly tied to deployment. You’ll work side by side with engineers, product, and Life science experts to ensure that breakthroughs in the lab become real solutions in the world.What You’ll Do • What You’ll DoExplore new LLM prompt optimization, robustness of LLM applications and modeling approaches in machine learning, NLP, and reasoning., • Prototype and validate AI capabilities that expand Collate’s product roadmap., • Collaborate with engineering, product, and design to bring research into production., • Develop evaluation frameworks to measure safety, reliability, and fairness., • Share findings with the broader AI community through publications and open collaboration., • Help shape the long-term research agenda at Collate.What We’re Looking For, • Strong background in machine learning, NLP, or related fields, with publications or equivalent experience., • Ability to balance theoretical complexity and simplicity of maintaining and improving real world AI applications in life science., • Experience troubleshooting NLP performance gaps and improving applications using online and offline evaluation., • Experience in translation is an added bonus, • Hands-on experience building and experimenting with deep learning models (e.g., PyTorch, JAX, TensorFlow)., • Ability to bridge theory and practice — from new research ideas to real-world deployments., • Curiosity-driven, with a track record of pushing beyond the obvious to uncover new possibilities., • Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

Job DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. We’re looking for a Director of Strategic Finance to bolster our growing FP&A team. You will own Voleon’s budgeting and forecasting as well as lead efforts focused on evaluation and execution of new business initiatives, including new ventures beyond traditional fund management. This is a highly strategic finance position requiring sharp business judgment, a deep financial modeling toolkit, and the ability to be a trusted thought partner in enterprise-level decisions. You will report to the CFO and work cross-functionally with strategy, operations, and executive leadership.Responsibilites • Own company-wide forecasting, budgeting processes and deliverables, • Partner with senior leadership to evaluate and operationalize new business initiatives, • Prepare executive level materials summarizing business proposals, economics, and go-forward plans, • Coordinate accounting, reporting and compliance operational workflows related to growth initiatives, ensuring timely and accurate reporting and compliance, • Provide analytical and financial insights for both exploratory and executional phases of growth initiatives, • Support firm-wide strategic planning, scenario modeling, and capital allocation analyses, • Lead cross-functional initiatives to improve operating efficiencies including Management Company Finance, Fund Finance and other functional groupsRequirements, • 10+ years of experience in strategic finance, corporate development, investment banking, or FP&A in fast growing technology or services companies with complex operations, • Excellent communication and stakeholder management skills, including with legal, compliance, and executive leadership, • Strong financial modeling and forecasting capabilities, • Demonstrated ability to independently drive complex, cross-functional initiatives, • Proven knowledge of accounting and financial reporting on a GAAP and cash basis, • Strategic thinker with a commercial mindset and a high level of business judgment 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 Description About the Role Mercor is seeking experienced First-Line Supervisors of Production and Operating Workers 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 in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. Key Responsibilities * You’ll be asked to create deliverables regarding common requests within your professional domain * You’ll be asked to review peer developed deliverables to improve AI research Ideal Qualifications * 4+ years professional experience in your respective field * Excellent written communication with strong grammar and spelling skills More About the Opportunity * Fully remote and asynchronous — complete work on your own schedule * Expected workload: ~30 hours per week, with flexibility to scale up to 40 hours * Project start date: immediately, lasting for around 3-4 weeks 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 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 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Earn $200 by referring Share the referral link below, and earn $200 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency. Responsibilities: • Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures., • Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators., • Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption., • Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry., • Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products., • Work closely with other software and hardware engineers to develop the next generation of deep learning software., • 10+ years of experience developing software for a variety of highly parallel architectures., • Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs., • Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity., • Understanding of Deep Learning fundamentals., • Strong development skills in C/C++, Python., • Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority., • Computer Science, Engineering, or related degree; preferably MS or PhD., • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days

Job DescriptionWe are seeking a Senior Electrical Technician whose work will help us deliver our smart automation solutions into customer hands. OSARO combines its software and advanced machine learning with the services and industry expertise needed to deliver improved sight and skill to existing robot applications, while enabling new applications for the factories and warehouses of the future. Our products endow industrial robots with the level of autonomy needed to perform an extensive variety of pick and place tasks and integrate tightly with our customers’ complex software environments. As Senior Electrical Technician you will help expand our team’s capabilities. This position requires electrical aptitude as well as the ability to manage competing priorities for yourself. You must be able to build out prototypes without major instruction and be able to convey critical feedback when necessary about designs. Major electrical troubleshooting will also be required as some machinery is more sensitive to damage while testing new prototypes. A basic understanding of PLC functionality and wiring is required to do a majority of upgrade tasks. Also an ability to read electrical schematics and use it to wire new sensors into the system. Our culture emphasizes collaboration, creativity, and curiosity to help us overcome existing technological barriers in the industry to create truly innovative technologies. We are growing quickly with a vision to build and deliver products to the world with a continuous emphasis on research and development to push the technological edge. We value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. You are someone who cares deeply about your team so you are both direct and believe in doing what you say.What You'll be Doing • Maintaining a robotics lab including building industrial robot work cells, maintaining industrial robot components, and maintaining spare part/tool inventory., • Managing contract workers during surge assembly jobs., • Participating in discussions with leadership on project /task progress and status., • Attending and participating in regular project meetings., • Manage workflows to improve process improvement., • Maintain lab cleanliness and take responsibility for tool crib readiness.Experience and Skills You'll Need, • Must have at least 3 years of experience maintaining a lab or warehouse., • Excellent verbal and oral communication skills., • Some experience working with PLC wiring and troubleshooting., • Proficient with reading CAD drawings and assembly documentation., • Excellent hands-on skills and mechanical aptitude., • 5 years experience with precision fabrication and assembly, including using power tools (welding, manual mill, band saw, drill press, etc.)., • 2 years experience in reading electrical schematics, mechanical schematics and the software used to read them., • 4 years minimum experience with industrial grade electrical wiring., • Preferred electrical certifications, low or high power., • Worked with 480v 3 phase powered industrial equipment., • Good initiative and self-motivation; ability to work with little supervision., • Legal authorization to work in the U.S. is required (we do sponsor H1B transfer).Bonus if You Have, • Experience with 3D printing., • Experience with CNC machining.

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 partner directly with: AI-first startups building products powered by LLMs, generative AI, intelligent automations, Established tech companies: scaling their ML infrastructure, recommendation systems, and data platforms, and Enterprise innovation teams integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with founders, CTOs, and Heads of AI in those themes 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. Our Client Is a San Francisco based startup building a GenAI-native platform that automates one of the most complex, time-consuming challenges in finance and Tax and turning dense tax documents into structured, usable data in minutes. Their system processes everything from K-1s and K-3s to intricate footnotes with near-human precision, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. They serve some of the most sophisticated players in private wealth, and asset management, helping them move faster and make better decisions in an industry where accuracy and speed define competitiveness. Backed by seasoned founders and AI leaders from top-tier tech companies like facebook and salesforce, this team combines product craftsmanship with cutting-edge machine learning to bring intelligence to a domain that has long resisted automation. Recently acquired by a global technology leader, the company now operates with the mindset, pace, and creative autonomy of a startup but with the stability, benefits, and resources of an established enterprise. Youll be joining a team of proven builders whove scaled products to acquisition, engineered systems that power billions of data points, and are now applying GenAI to redefine how financial data is understood, structured, and acted upon. Location: Union Square, San Francisco Work type: Full Time, 5 days a week On-Site. Compensation: above market base + bonus + equity Visa: sponsorship available for candidates with demonstrated brilliance and expertise. What we are looking for Were seeking an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles, especially with document understanding and extraction. You are an exceptional builder who thrives at the intersection of real world features and AI/ML engineering, someone who not only understands how models work, but also how to use them to deliver real, measurable value to end users. This role is central as they scale their GenAI-native platform for tax document processing, combining the velocity of a startup with the backing of resources and reach of a large multi national firm. Roles & Responsibilities * Build and scale the ML and product infrastructure that powers intelligent tax document processing at production scale. * Design and optimize inference systems, dataset pipelines, and specific logic to improve accuracy, speed, and quality as we expand to millions of documents. * Collaborate closely with accountants and tax domain experts to deeply understand workflows, pain points, and quality thresholds translating insights into productized ML systems. * Integrate inference pipelines into a seamless, end-to-end experience that transforms how tax professionals process and interpret documents. * Develop expert systems that encode institutional tax knowledge into scalable, maintainable software components. * Drive experiments, measure outcomes, and iterate rapidly on core ML metrics. * Collaborate cross-functionally with product, engineering, and leadership to shape technical direction and influence product vision. Qualifications Core Experience * 4+ years of experience in machine learning / AI engineering with proven end-to-end ownership of ML-powered products. * Strong track record of building systems that create direct user value, not just research prototypes or internal tooling. * Demonstrated ability to work with large, complex datasets, optimizing for accuracy, scalability, and reliability. Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products. * Comfortable with Python and popular ML libraries (e.g. pandas, scikit-learn, spaCy, pytorch, tensorflow, keras), cloud providers such as GCP/AWS, container technologies (e.g. Docker, Kubernetes), web application development including Python-based web servers (e.g. Flask, Django), and database and storage layers (e.g. Postgres, SQL, S3/GCS). * Experience deploying or integrating LLMs, LLM APIs, Agents and prompt engineering into production systems. * Strong Python proficiency and hands-on familiarity with ML infrastructure and data workflows. * Experience in document understanding, OCR, or applied NLP. * Exposure to financial or tax-related data environments. * Startup or 01 product experience. Soft Skills * Exceptional problem-solving ability, curiosity, and product intuition. * Strong communication skills with the ability to engage directly with domain experts and translate complex needs into technical solutions. * Growth trajectory demonstrated through promotions or increasing scope of responsibility. Other roles in Applied AI / ML in the US, check them out here: * Applied AI / ML engineer focusing on LLMs, and Knowledge Graphs: [ *

Job Description At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Senior Machine Learning Engineer (Recommendation Systems) Philo's recommendation system improves user engagement and customer satisfaction by tailoring content discovery to individual preferences and viewing habits. We want users to be confident that Philo will have something they want to watch every time they open the app. We are seeking a Senior Machine Learning Engineer to lead our content personalization efforts, shaping experiences that impact millions of users. In this role, you will research, design, and build advanced algorithms and large-scale systems that power Philo's recommendation engine. As a senior member of a growing team, you will tackle complex machine learning challenges and collaborate with data science, product, infrastructure, and backend engineering teams to deliver innovative, data-driven personalization solutions. Your work will directly impact content discovery, deepen user engagement, and drive long-term retention. Responsibilities: • Lead development of recommendation systems: Design, build, and optimize advanced algorithms for SVOD, Live TV, and FAST personalization., • Drive ML innovation at scale: Conduct deep dives into models and system components, ensuring performance, scalability, and robustness across regions and product areas., • Own the ML pipeline: Build and maintain reliable pipelines for data extraction, feature engineering, model training, testing, and deployment., • Collaborate with Product, Data Science & Engineering: Translate product requirements into ML solutions, set clear expectations, and deliver measurable improvements in user engagement., • Advance deep learning in recommendations: Apply frameworks such as TensorFlow, PyTorch, or similar to develop state-of-the-art recommendation models., • Experimentation: Conduct rigorous A/B testing and ML experiments to understand model performance and iterate rapidly based on feedback., • ML Vision and Roadmap: Contribute to the strategic planning of the recommendations roadmap, aligning engineering efforts with business objectives and user needs., • 8+ years of experience in backend engineering and/or data science, including 4+ years focused on machine learning. Experience with recommendation systems is a big plus., • Strong coding skills in Python, as well as proficiency in using ML frameworks like PyTorch or TensorFlow., • Excellent analytical and problem-solving skills, with the ability to translate complex technical challenges into business solutions., • Proven track record of leading projects and delivering impactful machine learning solutions., • Strong communication and documentation skills; capable of explaining complex, technical concepts to non-technical stakeholders and to diligently document your work to help the team as a whole learn and move quickly. At Philo, we're a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture. We're committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We're committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email and we'll work with you to meet your needs. Philo offers 70+ top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. Philo is headquartered in San Francisco, with offices in New York and Cambridge, MA. Our leadership team includes a Facebook co-founder and alums from Meraki and HBO, backed by NEA and industry partners like Discovery, Viacom, AMC, and A&E. Join us at Philo and be part of a team that's shaping the future of TV! Status: Full-time Location: San Francisco, CA Compensation: Includes annual salary between $200K - $237K depending on experience and location, company stock options and health benefits. We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: • Full health, dental and vision coverage for you and your family, • 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay), • Flexible working hours, • Up to 20 weeks of fully paid parental leave, • Unlimited paid time off for vacation and sick leave, • $2,000 annual vacation bonus (we pay you to take a two week vacation), • $5,250 annually for professional development and educational assistance, • $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter), • $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco), • Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps, • Dog-friendly office Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job Description Tiger Analytics is looking for experienced Senior Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools., • Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks., • Collaborate with data scientists to translate models into production-ready code., • Implement CI/CD pipelines and manage code repositories using GitHub Enterprise., • Design and optimize mathematical programming and machine learning models for real-world applications., • Work independently to break down complex problems into actionable development tasks., • Ensure code quality, scalability, and maintainability in a production environment., • Contribute to sprint planning, documentation, and cross-functional collaboration., • Collaborate, coach, and learn with a growing team of experienced Data Scientists., • 7 years of experience working as a Data Scientist, • Hands-on experience with enterprise data science solutions, in Semi-conducor industry, • Proficiency in Python, SQL, and PySpark., • Experience with Databricks or similar enterprise cloud environments., • Experience with production-level coding and deployment practices., • Familiarity with machine learning techniques and mathematical optimization methods., • Proficient in data science libraries and ML pipelines such as; NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionAbout Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 90+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. Who we are looking for We're looking for an outstanding experienced engineer to push our platform to the next level of performance and reliability. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll be a key driver of vital projects. An engineer in this position will operate with high degrees of autonomy and will work to build and extend multiple foundational systems. They will be expected to use simple tools to craft performant, reliable and maintainable solutions to challenging problems - both technical and product. What to expect High performing team: You'll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own rightImpact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You Are experienced: You have seen a lot and built a lot. You have personally developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed.Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use.- Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer

Job DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. As a Member of Research Staff, you will work at the forefront of modern statistical machine learning. Your research colleagues have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. Founded in 2007 by two leading scientists (see management bios), Voleon supports a culture of curiosity, collegiality, and creativity. Your work will focus on financial market prediction and portfolio optimization. The behavior of financial markets is noisy and violates a number of classical statistical assumptions, and we’ve spent over a decade pioneering scientific advances in the application of machine learning techniques to this domain. You will work with a complex and diverse array of datasets to implement and iterate on predictive models. Predicting financial markets is an enduringly hard problem, but results are immediate and unambiguous. Years of academic training has prepared you for this moment. You won’t just conduct research, you’ll apply it on a daily basis, working with a team across the entire life cycle of applied research problems. Your work will span from basic research to productizing solutions and validating their efficacy in live trading. This role is a means to make a difference: you will help direct billions of dollars in trades daily while making an enduring impact on our field. * Relocation and work visa eligibility for qualified candidates*Responsibilities • Develop a rich understanding of Voleon’s challenges and methodologies and propose research innovations and experiments to build, maintain and optimize the models that govern our investment strategy, • Prepare and analyze new datasets to assess their predictive efficacy, • Develop, validate, and implement new models into production, • Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment, • Communicate and collaborate effectively with other Members of Research Staff and Software Engineers at each stage, driving progress towards tangible outcomes, • Keep up to date on the latest academic research to identify novel approaches to explore for application to our domainRequirements, • Background in modern statistical methods and machine learning with a track record as an applied researcher, • Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement), • Interest in software development techniques and willingness to write production level code (Python and/or R preferred), • Ability to solve large-scale computing problems, • Eagerness to work in collaborative and diverse teams, • Interest in financial applications is essential, but prior finance industry experience is not a pre-requisite #LI-MD1 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 Team: Quizlet is a leading company in consumer learning technology with proven traction and huge growth ahead. We have a freemium business model with two strong and growing revenue streams: subscriptions and advertising. Our freemium model exists to attract the largest possible number of potential customers at the lowest cost while creating student and teacher evangelists to drive virality. Our focus is on generating revenue through low-priced, high-scale consumer subscriptions that students cannot imagine studying without. We’re looking to bring on a senior leader to our Controllership organization reporting to our VP, Controller to help build the financial systems and processes. About the Role: You will lead and build a team to develop, implement, maintain, and manage the company’s global corporate and indirect tax filings, documentation, compliance, and strategic projects. You’ll own and scale tax processes and will be the go-to tax person for Quizlet. The ideal candidate is highly organized, detail-oriented, analytical, excited to work in a fast-paced organization, and ready to roll up their sleeves to get the job done. 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: • Oversee the preparation and filing of federal, state, and international tax returns in a timely manner (including timely payments of all tax obligations), • Own tax provision and financial statement disclosure process, • Document tax positions taken and review alternative tax positions to determine the most appropriate, cost-effective filing position, • Facilitate analysis of R&D to qualify for R&D tax credits in different tax jurisdictions, • Oversee the preparation and filing of accurate Sales and Use tax returns for multi-state and remit taxes to taxing jurisdictions on a timely basis using AvaTax via Avalara, • Manage the Company’s international VAT and other indirect tax exposure and oversee compliance activities, • Manage other miscellaneous tax filings, such as annual Delaware Franchise Taxes, SF Gross tax and other local municipal business taxes, • Reconcile Sales and Use tax accounts, along with follow up on outstanding open issues., • Update GL data related to tax accounts, such as accruals and prepayments., • Respond to tax notices and oversee the tax audit process, • Monitor existing and proposed legislative and regulatory US and global tax law developments, communicate the effects, and develop risk-minimization tax strategies., • Partner with key strategic partners in Accounting, FP&A, Legal, and Equity administration to achieve key tax objectives (including but not limited to tax planning, legal entity structure, transfer pricing, etc.) and to ensure tax implications are integrated into business decisions, • Build and maintain effective control procedures over all aspects of the tax processWhat you bring to the table:, • 10+ years of progressive, relevant experience in Tax within a top technology company or a combination of Big Four and industry experience, • Bachelor's degree in Accounting or Finance, and CPA, CPA equivalent, Master's in Tax, or JD required, • Multi-State Sales and Use Tax accounting experience is highly desired, • Strong understanding of accounting for income tax provisions under ASC 740, federal, state, and international tax regulations, • Experience in NetSuite and Avalara is desirable, including experience with process automation, • Proven experience managing compliance and advisory projects, • Ability to drive strong output on multiple fronts and prioritize items to meet deadlines, • Exceptional attention to detail and accuracy, • Ability to effectively manage relationships with senior stakeholders, • Agility in embracing and implementing technology and automation / AI, • Strong communication skills to be able to present complex tax conclusions to business leadersCompensation, 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 $190,000 - $250,000, 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 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 Site Reliability Engineer, you’ll define the technical vision and architecture for reliability across Quizlet’s platform. You’ll lead large-scale initiatives that ensure our systems remain fast, secure, and resilient — powering a platform that supports millions of learners worldwide. You’ll partner with leadership to shape the evolution of our infrastructure, mentor senior engineers, and embed reliability into everything we build. This is an onsite position in our San Francisco office, requiring a minimum of three days per week onsite: Monday, Wednesday, and Thursday. In this role, you will • Set the strategic direction for reliability engineering and infrastructure automation across Quizlet., • Architect self-healing, globally distributed systems that deliver 99.95%+ uptime., • Drive modernization of the infrastructure stack — advancing container orchestration, observability, and control-plane automation., • Lead cross-team initiatives to improve scalability, resilience, and security in partnership with product and AI platform teams., • Define and enforce reliability standards, SLO frameworks, and incident response practices., • Mentor senior engineers, fostering a culture of ownership and continuous improvement.What you bring to the table, • 10+ years of experience in SRE, infrastructure, or systems engineering, including 5+ years in leadership or staff-level roles., • Deep expertise in Kubernetes (GKE), Istio, Terraform, and CI/CD architectures., • Proven experience scaling systems and building resilient automation for global platforms., • Strong programming skills in Go and Python; capable of architecting automation frameworks., • Advanced understanding of observability stacks (Datadog, Jeli) and distributed system performance., • Track record of influencing technical direction across multiple teams and domains., • Passion for reliability, performance, and creating systems that “run themselves.”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 $258,000 – $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 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 Description Join our mission to provide governments with exceptional experiences so they can do the same for their communities! What do we do?💥 We empower governments to deliver exceptional citizen experiences. Check out our 'About Us' page for a deep dive into our product and what makes us exceptional. How will you help us make an impact? 👩️‍💻👨️‍💻 The Senior MLOps Engineer will design, build, and scale the systems that power CivCheck and Clariti's AI capabilities. As the first MLOps Engineer, you will lead the development of robust ML infrastructure, ensuring that models move efficiently from research to production with reliability, observability, and performance at scale.This role is ideal for someone who thrives at the intersection of machine learning, software engineering, and cloud infrastructure, and who's motivated to enable teams to deliver high-impact ML systems efficiently and safely. As a Senior MLOps Engineer at Clariti, you'll get to : • Design and maintain end-to-end ML pipelines for training, evaluation, and deployment of models and agentic AI workflows, • Build and optimize infrastructure for distributed training and model serving across GPU and cloud environments., • Develop tools for data creation, model versioning, experiment & performance tracking, and automated retraining., • Collaborate with AI researchers and ML engineers to productionize POCs and ensure model reproducibility and scalability., • Implement CI/CD best practices for ML systems, including continuous integration, automated testing, and deployment workflows., • Monitor and manage model health, performance, drift, and data quality in production., • Partner with Engineering teams to streamline infrastructure provisioning and data access., • Drive cost optimization and performance tuning for large-scale model training., • 6–10+ years of experience in software or ML engineering, with at least 3+ in MLOps or ML infrastructure., • Solid experience working with Python, C, C++, Bash, etc., • Proven experience deploying and managing ML models in production., • Proficiency with Docker, and Kubernetes for scalable ML system design., • Experience with cloud platforms (AWS, GCP, or Azure) and GPU orchestration., • Solid understanding of data versioning, model reproducibility, and monitoring strategies., • Experience training models from scratch, including defining architectures, curating & cleaning datasets, tuning training parameters, and bringing models from research to monitored production., • Exposure to model optimization techniques (quantization, distillation, TensorRT, ONNX)., • Familiarity with infrastructure-as-code tools (Terraform, CloudFormation)., • Background in distributed systems or high-performance computing. We invest in and empower our team members with competitive compensation packages, well deserved time off and benefits to keep you and your family healthy! * 💰 The base salary range for this role is expected to be between $190,000-230,000 based on the candidate's skills, experience, and qualifications while considering internal pay equity and our broader pay philosophy. 💰 If you have questions about compensation as we move through the process, we're happy to discuss further. *Benefits depend on employment type (full-time, part-time, contract, etc). Things to Note 📝 Background checks - Because our customers trust us with sensitive information, we require all successful candidates to undergo comprehensive background checks before joining our team. We focus strictly on global sanctions and criminal offences that are directly relevant to employment at Clariti, and follow all applicable privacy and human rights legislation. Travel- Although we operate as a remote company, all roles are expected to participate in occasional travel for in-person company-wide or departmental meetings, typically 1-2 times per year. Additional travel requirements specific to the role, if any, will be outlined in the job description. We're committed to building an inclusive culture where our team members take ownership over projects, tasks, and outcomes; bring a growth mindset to drive continuous learning and self-development; have the ability to communicate courageously in a direct but respectful way; and are customer-focused by keeping the customer at the heart of decision-making. It's the diversity of our team that helps us make better decisions, by leveraging the diversity in thought & experience across to create impactful solutions as we explore new paths & challenges as we grow. We're working to create a workplace and team that is as diverse as the communities we serve. We welcome and encourage candidates of all backgrounds to apply. Questions? We are here to help If you require accommodations in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in our hiring process for any reason, please direct your questions to and we'll be happy to support you.

Job DescriptionAssociate Manager, CRM San Francisco, CA At Rothy’s, we know there’s a better way to do business, and it starts by putting the planet and its people first. More than 225 million single-use plastic bottles have been transformed into our signature thread, creating wardrobe staples that look just as good as they feel. Striving for zero waste, we combine 3D knitting technology and handcrafted assembly to create machine washable styles that don’t compromise on comfort. From classic shoes to carry-everywhere bags, we create essentials for wherever you go. At Rothy’s, building a sustainable future is at the heart of everything we do. We pride ourselves on fostering an inclusive environment at our HQ, retail stores and wholly-owned factory, and are growing our community every day. About the team: Masters at blending art and science to drive sales, our Digital Commerce team combines creative thinking with analytics to deliver an industry-leading experience across our digital platforms. This team works closely with the Marketing and Merchandising teams to bring product stories to life in an impactful way—and partners hand-in-hand with our Digital Experience team to explore new areas of opportunity in our e-commerce ecosystem. These industry experts also stay on the lookout for the latest digital commerce trends. About the role: Rothy’s is looking for an Associate Manager, CRM to to lead the day-to-day execution and long-term optimization of our Email and SMS marketing channels. This role sits at the intersection of creativity and data, strategy and execution, and will play a pivotal role in shaping and scaling our owned marketing channels to drive customer engagement, retention, and lifetime value. In this role, you’ll own campaign execution, audience segmentation, performance analysis, and lifecycle optimization. With a strategic mindset and a hands-on approach, you’ll work closely with brand, creative, e-commerce and vendor partners to create compelling communications that strengthen customer relationships and drive retention. What you’ll do: * Own end-to-end campaign execution for Email and SMS marketing—including reading product performance and identifying campaign opportunities, segmentation, Email and SMS campaign builds, QA, deployment, and performance tracking * Maintain and evolve the marketing calendar across retention channels in partnership with cross-functional teams * Partner with brand, e-commerce, and creative teams to bring timely, on-brand messages to life across email and SMS * Lead segmentation and customer targeting strategies to improve personalization and campaign performance * Manage and execute lifecycle programs such as Welcome, Post-Purchase, and behavioral triggers * Design and implement A/B and multivariate testing across retention campaigns to improve engagement and yield * Analyze campaign and channel performance, providing insights and recommendations to internal stakeholders and leadership * Collaborate with platform partners (e.g., Ometria, Attentive, Movable Ink) to enhance retention marketing capabilities * Continuously improve internal processes and workflows for efficiency, accuracy, and scalability * Champion CRM marketing best practices and customer-first strategies within the broader organization You are: * Highly organized with strong project management skills and a keen attention to detail * Someone with a growth mindset who is eager to learn new technologies, tools, and skills as the retention marketing landscape evolves. * Skilled at synthesizing data into actionable insights and clearly communicating your findings and recommendations * An effective communicator with a collaborative mindset, with experience working cross-functionally with brand, e-commerce, and creative teams * Deeply curious, always testing, learning, and striving for continuous improvement * A self-starter who thrives in a fast-paced, dynamic environment You have: * 3–5 years of experience in Email, SMS, or Retention Marketing, with hands-on ownership of campaign execution and optimization * A plus if you have experience with our marketing technology platforms (e.g., Ometria, Attentive, Movable Ink) * Familiarity with customer journey mapping and lifecycle campaign development * Knowledge of email best practices, segmentation strategies, and performance metrics * Prior experience in fashion, retail, or sustainability-focused brands * Experience with HTML/CSS for email preferred Our benefits: * Generous paid time off * 401k matching * Comprehensive health plans for you and your family * Supplemental mental health benefits * Monthly wellness reimbursement * Dog friendly offices * Employee Discount Program! Pay range: $82,000 - $96,000 annually Base pay is one part of the total rewards package that is provided to compensate and recognize employees for their work. This role may be eligible for additional discretionary bonuses/incentives, as well as a comprehensive benefits package. Please see our Privacy Policy here Compensation Range: $82K - $96K

Job Description Element Science, Inc. is a medical device and digital health company focused on developing solutions at the intersection of clinical-grade wearables, machine learning algorithms, and lifesaving therapies in order to address leading causes of death and hospitalization in patients with heart disease, primarily as they transition from the hospital-to-home. By putting the needs of patients and physicians first, our personalized digital devices, which are designed for function, comfort, and ease-of-use, aim to redefine the paradigm of care for these patients. Our first product, a wearable patch defibrillator, is initially targeted at treating the more than 500,000 patients in the US with an elevated temporary risk of potentially experiencing a lethal heart rhythm. Headquartered in San Francisco, our funders include Third Rock Ventures, Google Ventures, Deerfield Healthcare, Qiming Venture Partners USA, Cormorant Asset Management, and Invus Opportunities. SUMMARY OF ROLE: Element Science is seeking a strategic, execution-focused Director of Product Management to lead product strategy and execution. You will be instrumental in defining and driving the Element Science product roadmap, ensuring market needs are met, and overseeing the entire product lifecycle from conception to launch and post-market analysis. This role requires a leader who can translate complex market data into actionable product insights, drive strategic decision-making, and optimize our overall product strategy and future roadmap. Position is based in our San Francisco Office, in the Potrero Hill neighborhood. RESPONSIBILITIES: Product Strategy & Upstream Product Management • Define and drive overall product strategy, market development, and positioning for commercialization., • Lead voice-of-customer research and competitive intelligence to inform product roadmap, growth strategy, and market differentiation., • Collaborate cross-functionally with Sales, Clinical, Medical, R&D, and Regulatory to ensure market needs are embedded in product roadmap decisions., • Oversee the development and management of product requirements, specifications, and features., • Build integrated omni-channel go-to-market strategies to drive product awareness and adoption., • Partner closely with Sales, Clinical, and Customer Experience teams to support launch readiness and drive adoption in early markets., • 8-12 years of progressive product management experience in healthcare, MedTech, diagnostics, or life sciences., • Demonstrated success launching and commercializing Class II or III medical devices, ideally in cardiovascular or digital health., • Experience launching and commercializing Class II or III medical devices, ideally in cardiovascular or wearable technologies, is highly desirable., • Bachelor's degree required; MBA or advanced degree preferred, ideally with a focus in product management, marketing, healthcare, or business strategy., • Demonstrated success owning both upstream strategy and downstream execution, particularly in launch-stage environments., • Deep understanding of provider and patient dynamics in complex care pathways, with the ability to translate insights into impactful product solutions., • Strategic thinker with hands-on executional capability—equally skilled at shaping a product vision or building out a sales enablement toolkit., • Excellent communication and presentation skills, with the ability to clearly articulate complex product data to non-technical audiences., • Proven leadership in cross-functional settings, with the ability to influence, mentor, and collaborate effectively across teams., • Strong analytical mindset; able to translate data into insights and execute on performance metrics to drive decision-making and impact. Element Science offers a very competitive salary and benefits package including, but not limited to: • Stock Options, • 90% employer-paid medical, dental, and vision insurance, • Company-paid Basic Life Insurance, • 401(k) retirement plan (Traditional and Roth), • Competitive Paid Time Off, • Paid Holidays, • FSA (Flexible Spending Accounts), • HSA (Health Savings Account), • Pay range: $205,000 - $220,000 + Bonus Element Science is an Equal Opportunity Employer. All candidates will be evaluated on the basis of their qualifications for the job in question. We do not base our employment decision on an employee's or applicant's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors prohibited by local, state, or federal law. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. We are not able to sponsor individuals for employment visas for this job. At this time, we are unable to offer relocation assistance at Element Science.

Job DescriptionRETHINK MANUFACTURING The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next. Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you. ABOUT THE ROLE At Bright Machines, we are transforming the future of manufacturing with intelligent, software-driven automation. Our applications help designers create products that are optimized for automated assembly, making factories more efficient and effective. We are seeking an experienced Systems Engineer to join our team. In this role, you will be responsible for the design, development, and deployment of advanced robotic automation systems. You will collaborate with cross-functional teams, including mechanical and electrical engineers, software developers, and project managers to deliver innovative automation solutions that meet client requirements and business objectives. This is a unique opportunity to be part of a greenfield development effort that will change the way companies build and produce products. If you’re ready to apply exceptional engineering practices and build software that will define the next generation in manufacturing, this is your opportunity to “Be Bright”. WHAT YOU WILL BE DOING • Collaborate with project teams to define system requirements and specifications., • Integrate BM various hardware and software components into cohesive and functional systems., • Create PFMEA, process flow and value stream maps (where required) and work with the design team to resolve all failure mode points within the design, • Develop and execute test plans to ensure system functionality and reliability., • Ensure through each phase gate that all design metrics are being challenged and met, • Clearly define solution requirements, own ‘the product’ of the overall automation solution (and sub systems), and drive it to success through the entire project lifecycle in partnership with program management and engineering, • Travel up to 40%, primarily domesticallyWHAT WE WANT TO SEE, • Bachelor’s or Master’s degree in Engineering, Robotics, or a related field., • Minimum of 5 years of systems engineering experience, preferably with hands-on expertise in automation and lean engineering., • Proven ability to demonstrate relevant experience through past projects and accomplishments., • Strong technical skills with a systems-level mindset; execution-driven, process-oriented, collaborative, and a self-learner., • Excellent communication and interpersonal skills; able to work effectively with Sales, suppliers, System Architects, Design Engineers, Technical Program Managers, and senior leadership to ensure all PFMEA failure modes are addressed and SOW requirements are met., • Ability to thoroughly analyze technical documents (RFQs and SOWs) and translate requirements into cost-effective, practical automation concepts.IT WOULD BE GREAT IF YOU HAD, • AutoCAD and/or SolidWorks experience, • Technical Sales or Quoting experience responding to RFQs and SOWs, • Design for automation experience, queueing simulation, FMEA, and GR&R experience, • Vision systems experience, SMT, PLC programming, robot programming, and machine learning exposure.

Job DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. As the OKR Program Coordinator, you will be a key member of the Business Strategy team, responsible for driving the rhythm and discipline of Voleon’s firmwide Objectives and Key Results (OKR) program. You will help translate strategy into execution by building and maintaining the systems, processes, and communications that keep our goals visible, measurable, and actionable. You will collaborate with leaders and teams across the firm, ensuring alignment, clarity, and timely follow-through. This role reports to the Head of Business Strategy and works closely with stakeholders across the firm. This role is a means to make a difference: by building and maintaining the infrastructure for our OKR program, you will strengthen operational excellence across the firm and help ensure that strategic priorities turn into measurable outcomes.Responsibilities • Manage the administration of Voleon’s OKR program: maintaining schedules, templates, dashboards, and documentation., • Build and maintain tracking systems in Smartsheet and Jira to monitor progress against firmwide, departmental, and team objectives., • Support OKR cycles, including coordinating goal-setting sessions, consolidating submissions, and updating progress reports., • Produce and distribute regular reports, dashboards, and summaries for leadership review., • Follow up with teams and individuals to ensure timely updates, data accuracy, and maintain a clear record of OKR ownership, dependencies, and alignment across teams., • Identify opportunities to improve the clarity, efficiency, and consistency of OKR workflows., • Partner with Business Strategy team members on cross-functional projects, providing coordination, tracking, and administrative support., • Develop familiarity with the underlying work behind the goals to improve the precision and usefulness of OKR documentation.Requirements, • 3+ years of professional experience in operations, administration, or project coordination., • Exceptional organizational skills and attention to detail., • Demonstrated experience managing processes that require consistent follow-up and deadline tracking., • Experience with OKR administration is a strong plus., • Expertise with collaborative tools such as Jira, Confluence, Smartsheet and Microsoft Office is also a plus., • Strong written communication skills and an eye for clarity and concision in language. #LI-JP1 We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionDescription de l'entreprise Sia est un groupe international de conseil en management de nouvelle génération. Fondé en 1999, nous sommes nés à l’ère du numérique. Aujourd’hui, nos services en stratégie et management sont augmentés par la data science, enrichis par la créativité et guidés par la responsabilité. Nous sommes "optimists for change" et aidons nos clients à initier, naviguer et tirer profit des transformations. Nous croyons que l’optimisme est un accélérateur de performance, permettant de réduire les risques et de maximiser les opportunités. Grâce à une expertise couvrant de nombreux secteurs et services, nos consultants accompagnent nos clients dans le monde entier. Notre expertise produit des résultats concrets. Notre optimisme change la donne. Description du poste Dans le cadre du développement de ses activités, Sia recrute un(e) consultant(e) GenAI pour ses bureaux à San Francisco. Rattaché(e) à la Business Unit AI & Data, vous concevez et mettez en œuvre des solutions GenAI/LLM de pointe dans des secteurs variés. Vous êtes un acteur clé entre les Data Scientists, les ingénieurs Machine Learning et les ingénieurs Platform, pour apporter une valeur métier concrète grâce à l’IA. Vous guidez les clients vers les meilleures approches – telles que le RAG (Retrieval-Augmented Generation), les agents ou le fine-tuning – pour un impact optimisé et rentable. Au-delà de la création de prompts, vous êtes responsable de la conception et du développement de produits robustes et évolutifs. Vous êtes amené(e) à intervenir sur l’ensemble du cycle de vie de l’IA, en veillant à une intégration fluide des modèles, optimisée pour la performance et la sécurité, tout en répondant aux défis d’infrastructure. Votre rôle comprend la recherche, la conception, la mise en œuvre et l’optimisation de systèmes d’IA. Vous maitrisez à la fois : • La pile de modèles (FM, VLM, SLM), en tirant parti aussi bien de modèles fondamentaux ouverts ou privés comme GPT-x, Claude, Gemini, que de modèles plus légers déployables en périphérie comme Mistral ou Arcee AI, afin d’offrir des solutions rentables aux utilisateurs métier., • L'écosystème des frameworks d’applications IA, incluant les chaînes, la recherche augmentée (retrieval), les agents autonomes, et les outils de recherche vectorielle (ex. : LangChain, LlamaIndex, pgvector).Qualifications Diplômé(e) d'une formation d'ingénieur de premier rang, nous attendons de vous : * Une première expérience d'un ou deux ans sur un poste similaire. * Une solide maîtrise de Python et des frameworks d’IA générative tels que LangChain ou LlamaIndex. * Connaissances en traitement et compréhension du langage naturel (NLP / NLU). * Maîtrise des techniques de vectorisation d’embeddings et de recherche sémantique. * D'excellentes compétences en communication, capable d’expliquer des concepts techniques complexes à des interlocuteurs aussi bien techniques que non techniques. * De solides compétences en résolution de problèmes. Enfin, vous êtes curieux(se) et aimez travailler en équipe ? Vous souhaitez rejoindre un environnement professionnel dynamique et motivant ? Vous partagez nos valeurs que sont l'excellence, l'entrepreneuriat, l'innovation, le partage, la bienveillance et l'équilibre vie personnelle/vie professionnelle ? Informations supplémentaires Merci de nous adresser un CV et une lettre de motivation en anglais. Nous vous remercions de vous assurer de votre éligibilité au contrat VIE tel qu’arrêté par Business France : * Toute personne âgée de plus de 18 ans et de moins de 28 ans à la date d’inscription peut prétendre à un Volontariat International. * Le départ en mission s’effectue au plus tard le jour de votre 29ème anniversaire. Au-delà, aucune dérogation n’est accordée. * Vous devez être de nationalité française ou européenne (ressortissant des Etats membres de l'Espace Economique Européen qui regroupe les 28 Etats membres de l’Union européenne, la Norvège, l'Islande, le Lichtenstein) ou monégasque. * Vous devez être en règle avec les obligations de service national du pays dont vous êtes ressortissant. * Vous devez jouir de vos droits civiques et justifier d’un casier judiciaire vierge. Sia est un employeur qui souscrit au principe de l’égalité d’accès à l’emploi. Tous les aspects de l’emploi, tels que le recrutement, les promotions, la rémunération, ou les sanctions sont basés uniquement sur les performances, les compétences, et le comportement des employés ou les besoins de l’entreprise.

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 Team: The AI & Data Platform team's mission is to build and maintain a rock-solid, scalable, and efficient foundation for all data and machine learning operations at Quizlet. This team is the bedrock upon which our AI ambitions are built. As we consolidate our AI efforts to create a unified and powerful product portfolio, the platform team's primary focus is on achieving operational excellence. We aggressively buy and leverage best-in-class MLOps and DataOps technologies to accelerate the pace of innovation across Quizlet. About the Role: About the RoleAs a Senior AI & Data Platform Engineer, you’ll play a critical role in designing and building Quizlet’s next-generation analytical data and machine learning infrastructure. You’ll partner with teams across Data Science, ML Engineering, and Product to deliver scalable, reliable, and efficient systems that enable the development and deployment of AI-powered features. You’ll measure success through platform reliability, developer experience, and adoption across teams. This is an opportunity to work with cutting-edge technologies and contribute to the foundation that powers Quizlet’s AI roadmap. We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require employees to 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 ML and data infrastructure to support large-scale model training, deployment, and monitoring, • Collaborate with Product Management, Analytics, and Engineering teams to design data systems that meet diverse needs, • Develop and optimize tools that improve developer efficiency and data platform usability, • Implement scalable and resilient data ingestion and processing systems (real-time and batch), • Contribute to platform reliability, observability, and automation improvements, • Participate in design and code reviews, sharing best practices and mentoring peersWhat you bring to the table:, • 5–8+ years of experience building and maintaining large-scale data or ML platforms in production environments, • Strong experience with distributed systems, data pipelines, and ML infrastructure (e.g., Airflow, dbt, GCP, Kubernetes, feature stores), • Experience contributing to best practices for reliability and efficiency in data workflows, • Strong problem-solving and collaboration skillsBonus points if you have:, • Experience with cross-cloud data infrastructure or hybrid orchestration, • Contributions to open-source data/ML tooling or frameworks, • Demonstrated impact improving developer experience or data reliabilityCompensation, 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 $204,000 - $239,000, 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 DescriptionWho we are:Nitra's mission is to build a more efficient healthcare system and the technology that makes it possible. Our goal is to provide an ecosystem of fintech and software solutions that help doctors better manage their practices, so they can have time back to focus on what matters to them most. Nitra offers physicians and medical clinics around the country credit and expense management products they crucially need, as well as a medical supply marketplace, in an all-in-one platform powered by machine learning technologies. Nitra was created by unicorn founders who have successfully scaled to thousands of customers and exited $1B+ public offerings. They are joined by an ambitious and experienced team from American Express, Plaid, and Goldman Sachs. The team is backed by some of the world’s leading VCs (Andreessen Horowitz, NEA, etc.) and is supported by an expert group of advisors including the cofounders of Square and Xendit, executives from Intuit, former Governors, White House senior staffers, and a co-founder of CityMD. We're looking for:A Product Manager who will be responsible for defining, planning, and executing the product roadmap for Nitra. The ideal candidate will bridge the gap between technical development teams and business stakeholders, ensuring that our products meet both technical and market requirements.Your responsibilities will include: • Define and communicate a clear product strategy and vision based on market analysis, customer feedback, and business goals., • Develop and maintain a comprehensive product roadmap, outlining the features, enhancements, and releases necessary to achieve the product vision., • Collaborate with cross-functional teams to gather and prioritize product requirements. Ensure that technical solutions align with business objectives., • Maintain a deep understanding of the technology stack, architecture, and development processes used in the product. Act as a technical subject matter expert., • Continuously monitor market trends, competitors, and customer needs to identify opportunities and threats. Use this information to make informed product decisions., • Work closely with UX/UI designers to create intuitive and user-friendly product experiences that meet customer expectations., • Coordinate with development teams to plan and execute product releases, ensuring on-time delivery and alignment with the product roadmap., • Define test cases and ensure product quality, reliability, and security., • Plan and execute successful product launches, including marketing strategies, sales enablement, and customer support readiness., • Monitor product performance and customer feedback post-launch. Use data-driven insights to make continuous improvements., • Effectively communicate product updates, progress, and challenges to stakeholders, including executives and team members.You have:, • 2 to 6 years of experience working in software development and/or product management, • Able to have flexible working hours to collaborate with our Taiwan office, • Ability to speak Mandarin is a plus, • Proven track record in healthtech businesses, • Strong technical background and the ability to understand complex technical concepts., • Excellent project management skills, including the ability to manage multiple projects simultaneously, • Proficiency in product management tools and methodologies, • The ability to operate effectively in a fast-paced, analytical, and unstructured environment, • Strong communication and relationship management skills, with the ability to distill and convey complex business concepts to C-suite executives at Nitra and external partners, • Passion for creative thinking and bold ideas A scrappy and humble attitude, with a desire to roll up your sleeves to get things done for the greater good of the team, • Bachelor’s degree requiredWe offer..., • Equity - Everyone at Nitra is an owner. When the company wins, you win., • Competitive Salary - You’re the best of the best, and your salary will reflect your experience and reward your contributions to Nitra., • Health Care - Your health comes first. We offer comprehensive health, vision, and dental insurance options.

Job DescriptionAt Rigetti, our mission is to build the world’s most powerful computers to solve the world’s most challenging problems. Rigetti is a pioneer in superconducting Qubits and full stack quantum computing systems. In addition to introducing the first multi-chip quantum processor, Rigetti has led the way in software systems for quantum computing, with a distributed operating environment for hybrid quantum-classical computing, and a state-of-the-art streaming characterization and measurement development and execution platform. We are seeking a Senior Software Engineering Leader to head the team responsible for software systems that enable the creation, delivery and maintenance of Rigetti’s quantum computers. This includes systems for device design, chip fabrication workflows, physics-informed data analysis, quantum gate-design, and quantum mitigation and error correction technologies. This also includes managing the team and supporting the development of software systems for quantum QPU and system characterization. This is a hands-on leadership role for someone who thrives at the intersection of state-of-the-art software engineering, hardware, and scientific computing. Role OverviewAs a Senior Software Engineering Leader, you will drive the creation of software platforms that enable the design, fabrication, characterization, and measurement of quantum systems, with a strong emphasis on integrating into the engineering process. You will lead a team of professional software engineers, and collaborate closely with quantum hardware teams, quantum control systems designers, chip designers, fabrication engineers, and algorithm researchers. You’ll be responsible for engineering and system design that spans the entire gamut of our foundry operations through the delivery of an integrated quantum computing system, and delivery of characterization and measurement software to customers. This is a unique opportunity to build software systems critical for the design and delivery of Rigetti’s computing systems, and, in some cases, delivered to customers to operate and maintain those quantum computers.Key Responsibilities: Technical & Strategic Leadership • Define and execute the software roadmap for tools that support quantum chip design, fabrication data management, and process analysis, with physics-informed models at their core, • Develop software frameworks to integrate design, simulation, fabrication, and characterization data into a unified pipeline, • Lead the development and support the acquisition of tools for design verification, device modeling (including electromagnetic and noise modeling), and process optimization, informed by real-world physics constraints, • Support the development of Rigetti’s quantum characterization and measurement platform, • Lead the on-going design and development of the environment that knits these systems into a comprehensive integrated set of tools to develop and deliver quantum computersKey Responsibilities: Team Leadership & Mentorship, • Build and lead a high-performing, cross-disciplinary software team (including software engineers, physicists, and data scientists), • Support a strong platform engineering and operational mindset to enable high quality delivery at scale and speed, • Mentor and develop team members in software engineering best practices, modern software systems architecture, platform engineering, and scientific software for research and development driven environments, • Foster a culture of collaboration between software engineers, physicists, and design and fabrication teams, ensuring all teams contribute to and benefit from shared software toolsKey Responsibilities: Cross-functional Collaboration, • Partner with quantum device physicists to build or acquire software that accurately models qubit behavior and fabrication variations, • Work with foundry teams to ensure software systems capture process data and link it directly to design and performance outcomes, • Collaborate with quantum engineers, quantum performance teams to develop software frameworks that accelerate experimental data analysis, linking test results back to QPU performance, design and fabrication parametersKey Responsibilities: Technical Execution, • Oversee the development, and architecture of data platforms and modeling tools that combine design files, fabrication process data, and device performance metrics, • Drive the development and support for tools for design rule checking (DRC), layout-vs-schematic (LVS) checks, and process-aware design verification for quantum devices.Qualifications, • BS or equivalent degree in Software Engineering, Electrical Engineering, Physics, Applied Physics, or a related field, • 10+ years of software engineering experience, including at least 3 years in a senior technical leadership role. Ph.D. or Masters as a part of this, • Demonstrated experience building data systems that incorporate scientific models, • Demonstrated experience with software systems that manage large data sets, metadata sets, and scalable data pipelines, • Experience with streaming architectures and tools (E.g. Kafka, Kinesis, Spark Streaming), • Proficiency and experience with Amazon’s AWS for development and production deployment and distributed computing, • Proficiency in Python and one of JavaScript or TypeScriptExceptional Candidates Will Have One or More of the Following, • Knowledge of quantum device physics (superconducting qubits, trapped ions, or photonics), quantum information science, • Knowledge of quantum control systems and low-level hardware/software interfaces (cryogenic hardware, RF electronics, qubit calibration), • Knowledge of fabrication processes in semiconductor or quantum systems, • Familiarity with EDA tools, process design kits (PDKs), and chip layout software (e.g., KLayout, Cadence), • Proficiency and experience in scientific computing platforms, simulation tools, and scientific computing libraries and tools (NumPy, SciPy, PyTorch, etc.), • Proficiency and experience in machine learning applied to scientific and operational systems for prediction and system optimization

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. Overview We are seeking a highly skilled ML Performance Engineer 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. * 3+ years experience in deploying ML models on embedded or edge platforms (preferably robotics). * 2+ 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. Compensation Range: $130K - $170K

Job Description Organizational Summary San Francisco AIDS Foundation (SFAF) envisions a future where health justice is achieved for all people living with or at risk for HIV. Ultimately, we strive for a day when race is not a barrier to health and wellness, substance use is not stigmatized, HIV status does not determine quality of life, and HIV transmission is eliminated. Our mission is to promote health, wellness, and social justice for communities most impacted by HIV through sexual health and substance use services, advocacy, and partnership. Our strategic plan includes an articulation of its five key values, which are the foundation for its work and its employees: Justice, Dignity, Courage, Leadership and Excellence. We need passionate agents of social change, vanguards of public health, and practitioners of racial justice to join our fight. Position Overview: The San Francisco AIDS Foundation and the San Francisco Department of Public Health have partnered to launch the Health Access Point Program, a community-based initiative rooted in the wellness of underserved communities of color to create low-barrier pathways to accessing HIV and STI care. This program prioritizes self-determination, pride, self-esteem, collaboration, community involvement, and holistic wellness, while addressing the underlying social determinants of health that contribute to persistent health disparities within African American, BIPOC, Trans/GNC, Latine and Youth communities. Services are intentionally informed by the lived experiences of those impacted by poverty, unemployment, mass incarceration, lack of affordable housing, homelessness, generational trauma, systemic racism, and the failure of traditional healthcare systems to meet the needs of Black and marginalized populations. Additionally, the program seeks to dismantle stigma surrounding HIV status, gender and sexual identity, and substance use—especially as these issues intersect with race and socio-economic inequities. The Clinical Assistant Program will participate in a robust sexual health clinical training program through the San Francisco AIDS Foundation, Capacity Building Health Access Point. Clinical Assistants will gain hands-on experience by working alongside holistic sexual health clinicians, health navigators, laboratory technicians and community program staff—experts in HIV prevention, treatment, and community-based advocacy. This program offers a unique opportunity for individuals to contribute to health equity efforts, engage directly with impacted communities, and develop real-world skills in sexual and public health service delivery. Interns will be part of a transformative and supportive learning environment that empowers them to make a meaningful impact in community health. • The San Francisco AIDS Foundation is an Equal Opportunity Employer committed to creating an inclusive workplace. We encourage applicants from all backgrounds and communities., • This is a part-time, temporary position spanning 16–20 weeks (dependent on participant availability). Clinical Assistants generally work 3 half-day shifts per week (about 12–20 hours weekly), with some flexibility for evening or weekend shifts to support community programming., • This position includes a mandatory week-long HIV/Hepatitis C Test Counselor Training (date to be confirmed for 2026), scheduled Monday through Friday, 8 hours per day. Essential Duties: As a Clinical Assistant Intern, you will receive hands-on training and gain practical experience in a variety of community health and clinical support areas, including: • Harm Reduction principles and practices that promote safer and more equitable care, • HIV and STI test counseling and rapid testing procedures, • Motivational interviewing and group facilitation skills to support client engagement, • Community organizing to address health disparities and improve access to care, • Community-centered clinical administration and program coordination, • Community engagement programming and outreach activities, • Participation in the HIV/HCV/STI and Overdose Prevention Test Counselor Training (provided by the San Francisco Department of Public Health), • Substance use support and response strategies grounded in harm reduction, • Hands-on experience providing client-centered care—from intake and counseling to health navigation, • Opportunities to develop and contribute to evidence-based sexual health programs for underrepresented communities, • Mentorship and individualized learning opportunities tailored to your interests and professional goals, • Career development and coaching to prepare for future roles in public health or clinical care, • Other duties as assigned Other Responsibilities: Requirements For Clinical Assistant Program Certificate of Completion: • Completion of pre-training period (covering 12+ in-person trainings), • Completion and attainment of HIV/HEP-C Test Counselor Training (SFDPH), • Completion of (minimum) 40 hours of hand-on experience with SFAF programs, • Completion of (minimum) 40 hours of hand-on experience with Strut clinic, • Maintaining good standing and attendance with the program Essential Qualifications: • Availability for Training: Must be available for weeklong training in 2026 (date will be announced before onboarding date) (Monday-Friday) 9am-5:30pm for a mandatory state certified HIV/ HEP-C test counselor training., • Education: High School Diploma or equivalent., • Weekly Availability: Must have regular schedule availability to work 12 hours (min) – 20 hours (max) per week; must be available for at least three four-hour shifts during the week. Potential for some shifts to fall on evenings or weekends., • Basic Computer Skills: Ability to operate a computer with proficiency in common software like Microsoft Office or Google Workspace for tasks such as word processing, spreadsheets, and presentations. Ability to use both email and phone for professional communication., • African American Community Engagement: Extensive participation in the lived experiences and cultural contexts of African American communities, Queer and Transgender People of Color (QTPOC), and African American same-gender loving people., • LGBTQIA Community Engagement: Extensive participation in the lived experiences and cultural contexts of LGBTQIA, Queer and Transgender People of Color (QTPOC), and same gender loving people., • Judgment: Exhibits sound and accurate judgment; can clearly explain reasoning for decisions; includes appropriate people in decision-making process; demonstrates persistence and overcomes obstacles., • Adaptability: Adapts to changes in work duties and organizational structure., • Problem Solving: Identifies and resolves problems in a timely manner; works with others to solve complex problems., • Customer Service: Ability to work comfortably with many different communities and stakeholders; practices cultural humility, exhibits sensitivity to issues concerning HIV. Responds efficiently and cordially to requests for service and assistance., • Professionalism: Responds well under pressure; treats others with respect and consideration; follows through on commitments., • Dependability: Completes tasks on time; takes responsibility for own actions; reliable., • Professional Expectations: Demonstrate ability to fulfill the Foundation's professional expectations of accountability, active collaboration, commitment, communication, and professionalism. This position will have access to protected health information (PHI) and may only access, use or disclose the minimum information necessary to perform their designated role on behalf of San Francisco AIDS Foundation, regardless of the extent of access provided. Supervision: This position will not have any supervisorial responsibilities and will report to the Manager, Clinical Assistants Physical Requirements and Work Environments: Skill in operating equipment such as a personal computer, copy machine and telephone system. Ability to assist the Capacity Building Clinical Services team in moving testing/program materials and organizing sites for counseling, testing, and events. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Accommodations may be made to enable individuals with disabilities to perform the essential functions. The position may have exposure to blood borne pathogens and other infectious agents. The statements herein are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required for personnel so classified. Education and Experience: Work Environment: • The position may choose to work remotely up to approximately 10% (for online trainings and some groups as outlined by some groups and preapproved activities) with occasional requirements to work on-site at our headquarters in San Francisco or travel to other locations as determined in the sole discretion of SFAF., • Travel expenses for commuting to SFAF offices are not reimbursable., • May require evening and weekend work. The statements herein are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required for personnel so classified. EMPLOYEE BENEFITS: This role does not receive employee benefits Equal Employment Opportunity Statement: The San Francisco AIDS Foundation is an Equal Opportunity employer. We actively seek applications from people living with HIV/AIDS, people with disabilities, women, LGBTQ individuals and people of color. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Application Process: Please visit our careers page at: POSITION OPEN UNTIL FILLED NO PHONE CALLS PLEASE

Job Description Greetings from Donato Technologies Inc. We have an immediate opening with my client. If you are looking for a new project, please send me a copy of your updated resumes • Java Lead, • Bay Area, CA, • W2 Contract, • Experience: 10 YearsJob Summary, • Experience in implementing and integrating AI models, including Large Language Models (LLMs), into applications., • Google SDK, • Strong Java Engineers with microservices and Spring Boot experience., • Spring API Technical Recruiter ....................................................... DONATO TECHNOLOGIES, INC 12100 Ford Rd, #306, Dallas, TX 75234 Direct : (469)-342-0401 Email: Web:

Job DescriptionBlueSpace.ai is revolutionizing the autonomous vehicle industry with our groundbreaking self-driving technology. Unlike conventional autonomy software, our patented 4D Predictive Perception removes reliance on data. By leveraging next-gen 4D sensors, we can precisely predict the motion of all objects, increasing accuracy, lowering latency, and setting a new standard for safety and efficiency in autonomy. Our team consists of seasoned professionals from across the autonomous vehicle (AV) ecosystem, including OEMs, world-class research institutions, and leading autonomous driving companies. With a proven track record of successful AV service launches in California, Texas, and Florida, we are well-positioned to drive the next generation of autonomy. We are seeking talented, self-motivated individuals who thrive in a fast-paced, dynamic environment and are passionate about making a significant impact on the future of mobility. If you’re driven to tackle the most complex challenges in autonomy and push the boundaries of what is possible, we want to hear from you. As the ML Infrastructure Engineer at Bluespace, your mission will be to develop the Cloud Data Infrastructure System to support and enable our Assured AI for Autonomy. You will have the opportunity to design and develop the infrastructure, which will allow our developers to expand Bluespace’s APNT capabilities.Duties and Responsibilities • Take ownership of the infrastructure in support of developing and deploying Machine Learning models for Autonomous Vehicles, • Architect and deploy cloud and on-prem ML training and evaluation infrastructure, • Own the the data management pipelines, from ingestion and storage, to model training and evaluation that span vehicle compute, cloud, and on-prem, • Change model training code to take advantage of the better data storage techniques and formats you propose, • Evaluate and implement methods, software, and hardware for model deployment onto the test and production vehicles, • Develop systems and processes to improve transition of models from research to production while balancing cost, • Participate in model design, research and set requirements to model design that ensure their successful deployment, • Own and deliver projects end-to-end, • Optional: be able to hire, manage, or at least mentor other engineers who join this project when growth is neededQualifications and Experience, • Experience in architecting and implementing data engineering solutions for a small engineering team / product (1-20 ppl), • 2+ years of software engineering experience in any of the following: ML Infrastructure, Data Engineering, Platform Engineering, Distributed Systems, • Either existing experience with ML Infrastructure as described below, or strong expertise in non-ML Data infrastructure combined with a strong desire to learn ML Infra specifics, • Production ML experience with at least one of the following - (1). Model conversion and optimization for production (ONNX, TensorRT), (2) Model deployment on specialized hardware (e.g. Jetson), or (3) Model monitoring and MLOps, • Ability to programmatically access cloud services using Python, NodeJS, or equivalent, • Knowledge of or experience with data management solutions, such as - (1) Workflow orchestration pipelines (e.g. Argo, Airflow, Kubernetes) or (2) Managed large-scale data processing systems (e.g. Spark, Dataproc, Databricks), • Experience with Terraform or a similar IAC solution, • Robotics background, C++, ROS

Job DescriptionOverviewExtropic’s hardware massively accelerates certain kinds of probabilistic inference. Our ML team works on the science of training models in the thermodynamic paradigm, and we are looking for senior research and engineering talent to derive probabilistic ML theory, empirically demonstrate its scaling properties, and deploy performant models. Senior hires will be leading their own research direction and are therefore expected to quickly become experts across our abstraction stack, including the hardware, software, physics, and math.Responsibilities • Collaborate with senior researchers, residents, engineers, and physicists to derive the theory of new probabilistic models and their learning rules, including energy-based models and diffusion models., • Scale up experimentation infrastructure and optimize over the design space of models., • Implement, visualize, and evaluate new architectures, training algorithms, and benchmarks., • Publish papers, contribute to open source, and communicate design insights to our hardware team., • Create production models for domain experts using customer data.Required Qualifications, • Experience in scientific Python and at least one deep learning framework (PyTorch, JAX, TensorFlow, Keras), • Extremely strong foundations in probability and linear algebra, • Familiarity with deep learning theory and literature, including theory of over-parameterization and scaling laws, • Publications in top ML conferences (NeurIPS, ICML, ICLR, CVPR), • Experience training high-performance models, including familiarity with infrastructure (Slurm, Ray, Weights & Biases), • Experience deploying models, including familiarity with infrastructure (Ray, AWS, ONNX)Preferred Qualifications, • Experience designing probabilistic graphical models (PGM), • Experience training energy-based models (EBMs) or diffusion models, • Experience with numerical methods in diffeq solvers, • Experience with message passing or training graph neural networks (GNNs), • Strong theoretical background in information geometry, • Strong theoretical background in random matrix theory

Job DescriptionWe are seeking passionate software engineers who can tackle hard problems in a high-stakes environment. You should be a highly motivated individual who can push a project through to completion, as well as demonstrate excellence in designing clean, robust software. The Voleon Group is a quantitative hedge fund headquartered in Berkeley, CA. We apply statistical machine learning to get an edge in highly competitive, fast-moving financial markets. We employ world-class engineering and research talent to solve financial prediction problems. At Voleon, software engineers design and build complex, high-performance systems such as: - Real-time trading systems - Large-scale distributed data processing - Research infrastructure to develop the next generation of machine learning models - and much more You will have the opportunity to work closely with machine learning researchers, trading staff, and engineers. You will gain exposure to the full “finance stack," learning about a broad range of areas including machine learning, the mechanics of institutional trading, market execution dynamics, and more. We are open to accepting interns who can start in either summer, fall, or winter of 2026. Responsibilities • Designing complex systems., • Take on a lot of responsibility very quickly. You will “own” your work (passionately).Requirements, • Availability to work a full-time internship during the summer, fall, or winter of 2026, • Expected to graduate in 2027, • Hands-on experience writing code: You have built something significant. You understand how to write modular, maintainable, well-organized, and thoughtfully structured code., • Mastery of Computer Science fundamentals., • Modern software practices: You are comfortable using Linux, git, and mainstream databases., • You are familiar with cloud infrastructure., • You are incredibly good at at least one thing., • You are eager to work in diverse teams.Preferred Qualifications, • You have built significant open source softwareThe base salary for this position is $13,333 a month in the location(s) of this posting. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Our client, a rapidly growing technology company at the forefront of Artificial Intelligence (AI) and Machine Learning (ML), is seeking a high-caliber Operations & Strategy Manager to join their Public Sector Business Operations (BizOps) team. Demand from government customers for sophisticated AI/ML products, including computer vision and generative AI applications, is driving significant growth in this sector. This role is critical for enabling and accelerating that expansion. This is a position for a hard-charging generalist who combines analytical rigor and an obsessive focus on outcomes with an empathetic interpersonal style. If you thrive on solving complex, ambiguous problems while building strong teams and relationships, we encourage you to apply. What You Will Do * Report directly to the Head of Business Operations (BizOps) for the Public Sector. * Leverage your full business toolkit to drive results, including business analytics, strategic thinking, operational execution, project/program management, problem framing, and executive communication. * Tackle ambiguous, open-ended questions in support of high-priority outcomes, working with a broad set of stakeholders across engineering, analytics, product management, geospatial experts, and delivery. * Help mature key business processes while innovating from 0→1 on new systems; quickly develop and iterate on solutions, eventually handing them off to the appropriate team. * Craft strategies that propel public sector operations growth and organizational evolution. * Identify cross-project blind spots across customer programs and up-level operational approaches. Ideal Qualifications * 5+ years of experience in an operations, strategy, or consulting role requiring a blend of operational, strategic, and cross-functional work. * 3+ years of post-military experience is highly preferred. * Demonstrated experience in product, project, or program management—you can take projects from conceptual problem definition to implemented solution. * A penchant for digging deep into data, thinking from first principles, and iterating quickly to deliver results. * A strong orientation towards outcomes and a history of being scrappy when it counts. * An easygoing interpersonal style and ability to work and build relationships with a wide range of people. * Experience leading small teams and managing multiple, complex work streams. * A deep intellectual curiosity about AI and machine learning, particularly in applications that advance national security. * Technical literacy (generally able to pick up on technical/AI concepts). * Proficiency in Sheets/Excel and Slides/PPT is a must-have. Nice to Have * MBA or relevant technical degree. * Experience using Python, SQL, or similar analytical tools to translate insights into actionable outcomes. * Background in intelligence work and working with/within the U.S. government. * Previous private sector experience in computer vision, GenAI applications/agents, or similar technologies. * Active U.S. security clearance (Secret or Top Secret). Compensation * Base Salary Range (Full-Time): $151,200 - $225,750 USD * This role is also eligible for equity-based compensation and a comprehensive benefits package.

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 Robotics Software Engineer, 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, • While our headquarters is located in San Francisco, CA, this position will require up to 5-10% domestic and international travel.Multiply Labs is an early-stage startup where equity is a major part of the compensation package. We take pride in cultivating an environment that fosters collaboration, open communication, and authenticity. We are an equal opportunity employer; we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are diverse in background and singular in mission.

Job Description Position Title: Platform/Data Engineer Location: San Francisco, CA Time Type: Full Time The Opportunity: Ohalo is seeking an experienced Platform/Data Engineer to join our team. This role involves building and maintaining data pipelines to support our machine learning engineering activities and managing data related to plant phenotypes and genotypes. This is an exciting opportunity to work with a passionate team dedicated to revolutionizing plant breeding.Responsibilities: • Design and implement robust data architectures., • Build and maintain scalable data pipelines using technologies such as GCP (or AWS), BigQuery, Python, and Spark., • Develop and manage service-oriented and event-driven architectures, utilizing tools like Pub/Sub and Kafka., • Collaborate with machine learning engineers on model development and deployment., • Work closely with automation engineering to automate data collection from robotics systems., • Ensure data integrity and security across all pipelines and processes., • Optimize data workflows and storage solutions for performance and scalability., • Continuously monitor, troubleshoot, and improve data systems and processes.Candidate Profile:, • Bachelor's degree in a technical field (e.g., Computer Science, Engineering, Information Technology)., • Minimum of 5 years of experience in a similar role., • Proficiency with cloud platforms, preferably GCP (or AWS)., • Strong experience with data processing frameworks such as BigQuery, Spark, and Nextflow (a plus)., • Proficiency in Python and frameworks like FastAPI., • Experience with service-oriented and event-driven architectures., • Knowledge of data streaming and messaging systems, including Pub/Sub and Kafka., • Strong problem-solving skills and attention to detail., • Ability to work independently and as part of a geographically distributed team. Notes: • If you previously applied for a job at Ohalo, we encourage you to restate your interest in the position by submitting your application., • No visa sponsorship is available for this position at this time., • No recruiters please.

Job Description We're a fast-growing and profitable startup building the defining company at the intersection of AI, apparel, and culture. We move at a blinding pace, operate in one-week release cycles, and are looking for a builder with a founder's mentality to join our core team. We are not iterating; we are inventing. If you're tired of big-tech bureaucracy and want to build a rocketship from the ground up, this is your call. This is not a typical Product Manager role. We are looking for a deeply technical product leader to architect the core intelligence of our company. You will own the vision, strategy, and execution of our foundational AI platform, encompassing everything from proprietary large-scale models to the APIs that expose their capabilities to our consumer products and developer ecosystem. Your mission is to build the brain and the nervous system of our entire product suite. You will guide the development of our in-house Large Language Models (LLMs) and imaging models, define the roadmap for agentic AI systems, and create a world-class platform that unlocks capabilities our users haven't even imagined yet. You are not managing a product; you are building the future of our company's technological moat. Requirements Basic Qualifications • Bachelors Degree Required in Computer Science or related field., • 6+ years experience in product management, • Hands-on AI/ML Background: You have a past life as an ML Engineer, AI Researcher, or Data Scientist. You have hands-on experience building and shipping machine learning models. You must be able to command the respect of our senior AI engineers through your deep technical credibility., • Full-Stack Model Expertise: You understand the entire lifecycle of large-scale models (LLMs, Diffusion Models, etc.) from a first-principles level. This includes:, • Training & Data: You can strategically guide decisions on data acquisition, pre-training vs. fine-tuning, and novel training methodologies., • Inference & Optimization: You deeply understand the trade-offs between latency, cost, and performance, and can drive the roadmap for model quantization, distillation, and efficient serving., • Mastery of Applied AI Craft: You know how to turn a powerful but raw model into a magical, reliable product. You are an expert in:, • Evals: Designing and implementing robust, multi-modal evaluation frameworks (both automated and human-in-the-loop) to rigorously measure and improve model quality., • Agentic Systems: Architecting and building AI agents that can reason, plan, and use tools to accomplish complex tasks., • Advanced Prompting: You are a master of prompt engineering, including sophisticated techniques like meta-prompting and Chain of Thought to elicit the best possible performance from models., • Platform & API Architecture: You are a true platform builder. You know how to design clean, scalable, and intuitive APIs that developers love. You obsess over developer experience (DX), documentation, and building a platform that accelerates the entire organization., • Proven AI Shipping Experience: You have a track record of shipping V1 AI-powered products, from consumer-facing features to developer-level platform services., • Strategic & Systems Thinking: You can reason from first principles about the long-term trajectory of AI. You can connect advancements in research to concrete product opportunities and build a coherent technical strategy that spans multiple years., • Exceptional Technical Communication: You can effortlessly translate the most complex AI concepts to any audience. You can debate RLHF implementation details with the research team and then explain the business impact of a new model to the executive team in the same day., • MLOps Acumen: You understand the infrastructure that underpins modern AI and can contribute to the strategy for our tooling, deployment, and model monitoring systems., • A "Wartime" Owner Mentality: You are an independent, relentlessly resourceful operator. You have an obsessive bias for action and run through walls to get the job done. You see a technical frontier, you chart a path, you rally a team, and you conquer it. Preferred Qualifications • Startup DNA: You've worked at a seed or Series A startup or have tried to build your own thing., • Research Contributions: You have published papers at top AI conferences (e.g., NeurIPS, ICML) or have made significant contributions to major open-source AI projects., • AI Ethics & Safety: You have a strong and nuanced understanding of the risks and ethical considerations of building powerful AI systems., • Hardware Knowledge: You understand the underlying hardware (GPUs, TPUs, interconnects) and how it impacts model architecture and performance. This Role Is Not a Fit For You If... • You see product management as just writing tickets. Your job is to be the technical and strategic visionary for our core AI., • You are a "glorified project manager." Your job is to define the what and the why with extreme technical clarity, not just track the how., • You are afraid to get your hands dirty with technical details. You must be able to read a research paper and immediately grasp its product implications., • You feel your job is to "manage" engineers. Your job is to empower our world-class AI team with a compelling vision and deep technical partnership., • You want to wait for the technology to be perfect. We ship and iterate in one-week cycles, even on the bleeding edge of AI. Why You Will Love Working At Jiffy • Opportunity to grow our market share through innovation in the rapidly evolving fashion, AI and image processing space., • Collaborative and high growth environment, with direct impact on the company's strategic direction., • High visibility and influence in marketing cutting edge e-commerce solutions. Location: Irvine CA is preferred Benefits What We Offer • Compensation & Growth: Competitive salary, equity opportunities, and performance-based bonuses., • Comprehensive Benefits: Full medical, dental, and vision coverage, with a portion of premiums paid by Jiffy., • Retirement Planning: 401(k), • Wellness Support: Annual wellness benefits to help you stay healthy and balanced., • Tools for Success: Choice of MacBook or PC laptop, plus equipment for your home office setup., • Perks & Extras: Annual credit of $200 to use on our website plus more team merch drops than you will know what to do with!, • Professional Development: Annual stipend to support your learning and career growth. EEO Jiffy is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. Jiffy considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Jiffy is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

Job DescriptionAs an Account Executive on the Nonprofit team, you will be responsible for driving new business and building on our already impressive list of customer logos across a variety of industries. Innovative organizations use Windfall, including leading Food Banks, Museums, Zoos, Theaters, Ballets, Land Trusts, Independent Schools, and Symphony Orchestras. Windfall helps these customers market to and engage their donors and customers through enriched data and our new SaaS application using GenAI. As the face of our sales organization, you will be expected to sell our industry leading data enrichment offerings to customers through a consultative sales engagement, disrupt previously held notions when necessary, and build consensus for Windfall across the customer’s organization to secure deals. Our mission is to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.Responsibilities: • Research prospects to qualify them for outreach, • Complete outreach to prospects via various channels (email, phone, social networks), • Communicate with prospects to deliver value and qualify them, • Book meetings with prospects and create opportunities, • Manage the sales process from qualification to close, • Maintain up-to-date data in Salesforce on all owned records, • Assist with campaigns that include accounts you own, • Ensure Windfall stakeholders who are assisting you are fully briefed on opportunities in advance of meetingsRequirements:, • On-site 5 days a week in San Francisco, Denver, or Lehi, Utah, • A Bachelor's degree, • 3+ years of technology sales experience, • 1+ year of experience in a closing role, • Verified track record of exceeding performance expectations, • Experience with outbound prospecting, • Excellent verbal and written communication skills, including great listening skills, • Strong typing skills, internet and computer literacy, and the ability to learn our sales enablement tools quickly, • Comfortable working in Google Docs and Sheets, • Detail-oriented with an ability to manage time effectively, • Ability to work with minimal supervision and be a self-starterPreferred Requirements:, • Familiarity with our sales technology stack (e.g., Salesforce, Hubspot, Groove, LinkedIn Sales Navigator, ZoomInfo, etc.), • Familiarity with nonprofit development and fundraising About WindfallWindfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit . We comply with CCPA. For more information on how we comply, review our privacy notice.

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 Team: We’re the team behind Quizlet, the platform where millions of students and teachers come to study, teach, and learn something new every day. From classroom lessons to late-night study sessions, Quizlet plays a major role in helping students and teachers reach their goals. We’re flashcards, and so much more. As the Growth team, we work at the intersection of product and marketing to make it effortless to discover Quizlet, easy to get started, and into a place where learners and educators do their best work. We balance short-term gains with long-term, durable growth. We’re maturing the “growth motion” to help us reach new audiences around the world — and we have so much room to grow! About the Role: We’re looking for an experienced growth product leader who excels at connecting the dots between product, marketing, engineering, and data to accelerate user growth. As the Lead Product Manager for the Growth team, you’ll help millions of learners and teachers find value in Quizlet faster, come back more often, and stay engaged over time. You’ll work with a cross-functional team of product managers, engineers, designers, and data scientists in building and scaling systems that fuel sustainable growth for the business. You will be someone who thrives at high-velocity experiments, identifies structural improvements to the growth funnel, and develops frameworks that make growth more repeatable and predictable for the business. While helping us redefine what it means to drive healthy growth, ensuring we build habits that serve learners, teachers, and the business. As a senior leader within Growth, you’ll play a key role in shaping how we think about experimentation, data-driven decision making, and user motivation across the company. You’ll mentor other PMs, collaborate closely with marketing, and help develop our growth practice so that we can bring Quizlet to new audiences around the world. 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: • Own funnel health and performance reviews, regularly evaluating the end-to-end user journey to identify drop-offs, opportunities, and compounding effects across surfaces and channels, • Partner with marketing and creative to ensure acquisition and product experiences form cohesive, measurable growth loops, • Drive alignment across product areas so growth principles are embedded in feature development, not just bolted on afterward, • Contribute to quarterly planning and prioritization, balancing near-term impact with investments that build durable, compound growth, • Collaborate with research and design to deeply understand user motivation, pain points, and key areas of friction that we can translate into actionable insights, • Communicate the results of your learnings across the company, turning successful experiments into playbooks that other PMs can follow, • Mentor and develop other PMs on the growth team, setting the pace for growth product craft and analytical rigorWhat you bring to the table:, • 7+ years of product management experience in consumer technology, SaaS, or mobile applications, with a focus on growth, engagement, and user lifecycle, • Demonstrated success in defining and leading multi-quarter product strategies, • Deep expertise in developing roadmaps that balance quick wins with long-term initiatives, • Proven ability to structure lines of work that ladder up to broader business objectives, • Strong track record of improving onboarding, increasing activation, and driving retention through product-led initiatives, • Highly analytical and data-driven—comfortable framing problems, designing analyses, interpreting results, and making informed decisions at scale, • Excellent cross-functional leadership skills with a bias for action and a track record of aligning stakeholders around strategic outcomes, • Deep product intuition and user empathy, with a focus on first-time user experiences and long-term habit formation, • Experience designing and optimizing cross-platform experiences across both mobile and webCompensation, 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 $185,000 - $230,000, 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 (and we expect you to take them!), • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, 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, 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 Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: As a Decision Scientist II, you will collaborate closely with product management, engineering, design, and marketing teams to drive the development, prioritization, and planning of the product roadmap. You will transform insights into decisive actions and product enhancements, providing business teams with actionable insights and investigating issues to empower leadership decisions. Embedded within a dynamic environment, you will design, execute, and analyze experiments to solve complex business problems directly related to growth and success. Close collaboration with stakeholders will be key to your success, as you address challenges and contribute to the continuous improvement of the user experience. We currently have multiple Decision Scientist II roles open across different teams. Please note, we will start with a more general interview process and will then match you accordingly based on interest and experience. Key Focuses: • Define KPIs and create reports and dashboards against large data sets to track performance., • Use data to identify opportunities for improving user acquisition and optimizing return on investment., • Turn ambiguous questions into clear analytical problems and solve them using data., • Become deeply familiar with product data, understanding its limitations and caveats, to support development and growth., • Design, execute, and analyze experiments that drive product growth and improvement., • Bachelor's degree in a quantitative field such as Mathematics, Computer Science, Operations Research, Economics, or equivalent experience., • 3+ years of experience in product analytics, business operations, analytics, growth marketing, or product., • Proficient with A/B testing, experimental design, and utilizing statistical modeling and causal inference to inform business decisions., • Proficient in statistical computing and scripting languages such as Python (numpy/pandas/matplotlib), R, and SQL., • Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Computer Science, Operations Research, or Economics., • Extensive knowledge and practical experience in statistical methods such as causal inference, experimental design, and Bayesian inference., • Competitive salary, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $130,000 - $155,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:

Job DescriptionAbout usOur first product, Sculptor, gives engineers the power to run and coordinate multiple coding agents in parallel, helping them move faster, and stay in flow. At its core, Sculptor is about giving developers more power to make software creation faster, safer, and more reliable. More broadly, our mission is to make "open" AI agents win over closed agents. To do that, we’re starting with coding agents, since they both make it easier to construct future agents, and we can use them ourselves. The insights we gain from these agents will help us improve both the capabilities of the underlying models and the interaction design for agents. Ultimately, we aim to rekindle the dream of the computer, where computers become truly intelligent tools that empower us, giving us freedom, dignity, and agency to pursue the things we love. SummaryWe’re a small, cross-functional team focused on building AI systems that reason and code. We care deeply about understanding how people interact with these systems and how we can use data to make them safer, smarter, and more useful . We're looking for a Data Engineer to build and own the pipelines and data infrastructure that power our product and research efforts. Your work will directly support model training, evaluation, product analytics, and safety systems. You’ll partner closely with team members building our coding agents to make sure we’re capturing the right signals and using them well. If you’re excited about turning messy product data into actionable insights, and building systems that can scale with our research, we’d love to get connected! Example Projects• Combine synthetic data generation with human annotation platforms to produce high quality data that advances our product and research roadmap.• Design and build resilient, scalable pipelines (ETL and ELT) for batch and streaming data.• Develop and maintain infrastructure to support self-serve analytics, experimentation, and dataset generation. Prototype, evaluate, and make “build vs buy” decisions.• Help define and improve data modeling practices across the company, including instrumentation standards, dimensional modeling for analytics and feature stores for machine learning (ML).• Build integrations with ML infrastructure to support training pipelines, inference logging, and model monitoring (MLOps).• Debug pipeline failures, automate deployment processes, and improve data quality and reusability. You are• A strong software engineer with 5+ years of experience, ideally working with large-scale data systems.• Experienced in designing and maintaining data pipelines and infrastructure, especially for analytics, experimentation, and ML.• Comfortable with tools for data orchestration (Airflow, Prefect), batch or streaming processing (Spark, Ray, Flink), and event tracking and analytics (Amplitude, PostHog).• Experienced with cloud-based infrastructure and storage (e.g., S3, GCP, Snowflake, or Redshift), and thoughtful about cost-performance tradeoffs.• Exposure to MLOps, model serving infrastructure, or ML workflows.• Pragmatic and principled! You know when to optimize and when to ship. Compensation and Benefits• Competitive compensation, equity, and benefits• Lunch provided daily to onsite employees• $250 lifestyle stipend per month• Generous budget for self-improvement: coaching, courses, conferences, etc• Actively co-create and participate in a positive, intentional team culture• Spend time learning, reading papers, and deeply understanding prior work.• Frequent team events, dinners, off-sites, and hanging out.• Compensation packages are highly variable based on a variety of factors. If your salary requirements fall outside of the stated range, we still encourage you to apply. The range for this role is $170,000–$350,000 cash, $10,000–$2,000,000 in equity. How to applyAll submissions are reviewed by a person, so we encourage you to include notes on why you're interested in working with us. If you have any other work that you can showcase (open source code, side projects, etc.), certainly include it! We know that talent comes from many backgrounds, and we aim to build a team with diverse skillsets that spike strongly in different areas. 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.