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Job DescriptionAbout PayJoy PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This role The Staff Data Engineer is responsible for ensuring that the organization has reliable, accessible, and well-organized data by designing and maintaining systems that process information in real time and in batches, defining a data strategy aligned with business goals, ensuring data quality and security, optimizing database performance, automating processes to increase efficiency, overseeing monitoring and rapid issue resolution, and providing leadership and guidance to other teams to ensure best practices in data usage and managementResponsibilities • Architect and Build Data Pipelines: Build, optimize, and maintain reliable, scalable, and efficient data pipelines for both batch and real-time data processing., • Data Strategy: Develop and maintain a data strategy aligned with business objectives, ensuring data infrastructure supports current and future needs., • Streaming Expertise: Lead the development of real-time ingestion pipelines using Kafka/Kinesis, and design data models optimized for streaming workloads., • Data Quality & Governance: Implement data quality checks, schema evolution, lineage tracking, and compliance using tools like Unity Catalog and Delta Lake etc., • Tool & Technology Selection: Evaluate and implement the latest data engineering tools and technologies that will best serve our needs, balancing innovation with practicality., • Automation and CI/CD: Drive automation of pipeline deployments, testing and monitoring using Terraform, CircleCi or similar tools., • Performance Tuning: Regularly review, refine, and optimize SQL queries across different systems to maintain peak performance. Identify and address bottlenecks, query performance issues, and resource utilization. Setup best practices and work with developers on education of what they should be doing in the software development lifecycle to ensure optimal performance., • Database Administration: Manage and maintain production AWS RDS MySQL, Aurora and postgres databases. Perform routine database operations, including backups, restores, and disaster recovery planning. Monitor database health, diagnose and resolve issues in a timely manner., • Knowledge and Training: Serve as the primary point of contact for database performance and usage related knowledge, providing guidance, training, and expertise to other teams and stakeholders., • Monitoring & Troubleshooting: Implement monitoring solutions to ensure high availability and troubleshoot data pipeline issues in real-time., • Documentation: Maintain comprehensive documentation of systems, pipelines, and processes for easy onboarding and collaboration., • Mentorship & Leadership: Mentor other engineers, review PRs, and establish best practices in data engineering.Requirements, • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field., • 12+ years of experience in data engineering, with at least 3+ years working in Databricks., • Deep hands-on experience with Apache Spark (PySpark/SQL), Delta Lake, and Structured Streaming., • Technical Expertise: Deep understanding of data engineering concepts, including ETL/ELT processes, data warehousing, big data technologies, and cloud platforms (e.g., AWS, Azure, GCP)., • Strong proficiency in Python, SQL, and data modeling for both OLTP and OLAP systems., • Architectural Knowledge: Strong experience in designing and implementing data architectures, including real-time data processing, data lakes, and data warehouses., • Tool Proficiency: Hands-on experience with data engineering tools such as Apache Spark, Kafka, Databricks, Airflow, and modern data orchestration frameworks., • Innovation Mindset: A track record of implementing innovative solutions and reimagining data engineering practices., • Experience with Databricks Workflows, Delta Live Tables (DLT), and Unity Catalog., • Familiarity with stream processing patterns (exactly-once semantics, watermarking, checkpointing)Benefits, • 100% Company-funded health insurance for employee and immediate family, • Company-funded employee life and disability insurance, • Paid vacation days, unlimited sick leave, • $2,000 USD annual Co-working Travel perk, • $2,000 USD annual Professional Development perk, • Phone finance, headphone benefit, home office equipment allowance and wellness perks, • Catered lunches

Job DescriptionDescription: About Veryon Veryon is the leading global provider of aviation software and information services, trusted by over 5000+ customers, 75,000 maintenance professionals, and 100+ OEMs across nearly 150 countries. Our mission is to deliver smarter, predictive technology solutions, including our AI platform, Veryon AIRE that maximizes aircraft uptime and operational efficiency for the world’s most demanding aviation organizations. At Veryon, we are an AI-forward company focused on driving innovation and efficiency through emerging technologies. We prioritize hiring individuals who embrace AI, think creatively about its application, and are excited to continuously evolve alongside it. About the Role Veryon is seeking a Director of Engineering (AI Adoption) to lead the strategy, development, and adoption of artificial intelligence initiatives both externally in our products and internally across the organization. Externally this role will drive the evolution of Veryon’s product portfolio specifically focusing on initiatives involving Veryon AIRE. This includes the full lifecycle through analysis, design, software development, sales & support enablement, market launches, and most importantly supporting top tier service to large enterprise customers as they roll out Veryon AIRE solutions across their maintenance operations. Internally this role will be responsible for running AI initiatives across all departments ensuring that we embedding AI into the daily lives and processes of our teams in a way that drives business value. This role must partner closely with the Executive Leadership Team (ELT), Senior Leadership Team (SLT) and Security and Compliance leaders to define and execute function-specific AI roadmaps that adhere to the strict AI usage policies at Veryon. This role requires a combination of strategic vision, technical depth, and the ability to lead cross-functional transformation within a complex aviation environment. Key Responsibilities Enterprise AI Enablement • Define and execute a company-wide AI strategy aligned with Veryon’s business objectives, • Partner with ELT and SLT to identify, prioritize, and roadmap AI initiatives across all departments, • Partner with Security and Compliance teams to grow and ensure adherence of Veryon’s AI governance, best practices, and responsible AI usage, • Drive organization-wide AI adoption, including training and change management initiatives, • Lead the integration of AI capabilities across Veryon’s product suite, • Define and execute the roadmap for evolving products into agentic, decision-capable systems, • Collaborate with Product and Engineering teams to prioritize and deliver AI-driven features, • Ensure scalable & reliable deployment of AI/ML models in production environments, • Build, lead, and mentor high-performing AI/ML engineering teams, • Drive cross-functional collaboration across all departments of Veryon including technology, product, sales, marketing, customer support, customer success, people operations and finance, • Oversee the full lifecycle of AI solutions (design, development, deployment, optimization), • Establish KPIs to measure AI impact, adoption, and ROI, • Manage partnerships with external vendors and AI technology providers, • Apply aviation expertise to ensure AI solutions are operationally relevant and compliant, • Identify opportunities to enhance maintenance, diagnostics, and operational performance, • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field, • Engineering leadership experience with a strong focus on AI/ML initiatives, • Proven track record of implementing AI solutions across multiple business functions, • Deep expertise in Generative AI, Natural Language Processing (NLP), and Machine Learning, • Experience building and scaling AI-enabled products in production environments, • Strong understanding of data platforms, architectures, and MLOps practices, • Demonstrated ability to influence executive stakeholders and lead organizational change, • Experience building aviation maintenance software solutions and familiarity with industry leading aviation maintenance technology ecosystems, • Experience designing or implementing agentic systems or autonomous workflows, • Experience with cloud platforms such as AWS, Azure, or Google Cloud, • Strong business acumen with the ability to connect AI initiatives to measurable outcomes, • Strategic Leadership: Ability to define and operationalize an enterprise AI vision aligned with business goals, • Generative AI Expertise: Hands-on understanding of large language models (LLMs), prompt engineering, fine-tuning, and agentic frameworks, • NLP Proficiency: Ability to design and deploy NLP solutions for real-world business use cases, • Machine Learning Depth: Strong grasp of model development, evaluation, and deployment at scale, • Agentic Systems Thinking: Understanding of autonomous systems, orchestration, and human-in-the-loop design patterns, • AI Enablement Mindset: Ability to democratize AI usage across business functions through tooling, education, and frameworks, • Execution at Scale: Experience operationalizing AI solutions with measurable impact across large or complex organizations, • Responsible AI: Knowledge of AI governance, model risk management, data classification and acceptable use, bias mitigation, and ethical AI practices Our Core Values: • Fueled by Customers: Customers are at the core of every decision., • Win Together: Collaboration is our competitive edge., • Make It Happen: No excuses. Just outcomes., • Innovate to Elevate: We boldly challenge what’s standard and lift what’s possible.

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. Role overview: We are seeking an exceptional Research Scientist to join our team, focusing on developing cutting-edge diffusion models for text-to-video generation. In this role, you will be at the forefront of innovation, creating novel architectures and algorithms that transform written descriptions into stunning, coherent video content. Key responsibilities: * Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity * Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content * Design and conduct rigorous experiments to validate new ideas and evaluate model performance * Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline * Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences * Contribute to the research community through high-quality publications and open-source contributions * Mentor junior researchers and foster a culture of innovation within the research team * Work closely with product teams to align research directions with user needs and market opportunities Qualifications: * Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field * Must have: * Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models * Extensive experience implementing and optimizing large-scale generative models for image or video tasks * Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation * Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow * Excellent communication skills with the ability to explain complex technical concepts to diverse audiences * Proven ability to work collaboratively in a team environment * Ideal candidate will have: * Postdoctoral or industrial research experience in generative AI for video * Hands-on experience with text-to-video generation projects * Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video * Experience working with large-scale datasets and distributed computing environments * Track record of successful collaboration with product teams on technology transfers * Familiarity with video codecs, compression techniques, and perceptual quality metrics * Contributions to open-source projects in the field of generative AI Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. 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 DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. 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: As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology. The Labelling & Data Automation team plays a critical role in Waabi’s training pipeline. We are one of the first steps in the process of training machine learning models and are responsible for building practical, scalable tools and automation for extracting interesting and relevant data, creating high-quality ground truth labels, and providing this data to our expert machine learning scientists and engineers. You will.. • Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator., • Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected, • Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system, • Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects, • Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement, • Deploy open-set / embedding models to our production environment - empowering new search and curation modalities, • Champion engineering excellence, ensuring high-quality, well structured, and tested code., • Contribute to project roadmap planning, prioritization, and delivery. Qualifications: • 4+ years of industry experience., • Bachelor's in computer science, engineering, machine learning, or a related technical discipline., • Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code., • A willingness and ability to learn new skills, technologies, and software libraries as required., • Strong experience with data pipelines for large-scale processing and analysis., • Strong communication and organizational skills, • Understanding of cloud job orchestration, monitoring, and instrumentation best-practices., • Open-minded and collaborative team player with the willingness to help others., • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus Points: • Experience with ML pipelines, including dataset curation, labelling, training and evaluation., • Previous experience in self-driving technology or related fields., • Familiar with linear algebra (projections, transforms) and 3D geometry., • Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions)., • Experience with with front end development, • Experience working with open-set / embedding models and deploying them in a production setting, • Experience working with infra as code (Terraform, CloudFormation, etc) The US yearly salary range for this role is: $127,000 - $225,000 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:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- 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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. 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 DescriptionSamba is an AI-powered media intelligence company on a mission to give marketers the complete picture of their audiences. Our AI indexes media consumption across millions of smart TVs and 2.5 billion web pages, combining that data with third-party signals through the Samba Knowledge Graph, a map of the real interests, behaviors, and purchase intent of 1.5 billion user profiles globally. Brands, agencies, publishers, and platforms use Samba to make smarter decisions across every stage of the marketing funnel. We are seeking a skilled Data Engineer to strengthen our data platform team. Our team is tasked with building and maintaining the data platform that powers the entire organization; from ingestion to analytics and reporting; from valuable viewership and contextual datasets to scalable applications that enable data-driven decision making. While our organization is hybrid, you'll be building mostly on AWS, Databricks, BigQuery and Snowflake technology. The ideal candidate will have strong experience in cloud-based data engineering, distributed data processing, and data governance and metadata management to support analytics, reporting, and machine learning use cases.What You'll Do • Build scalable data product architecture, capable of supporting both internal and external data consumers, • Responsible for modernizing our data frameworks and integrations with Databricks and BigQuery, • Upgrade and reduce toil for developers on Apache Airflow, • Develop and optimize data transformations using Apache Spark (PySpark/Scala), • Build procedures and guidelines to help teams operate with data, • Identify bottlenecks in our development lifecycle and find solutions to improve them, • Drive innovation throughout the tech org by evangelizing and educating teams on best practices and new technologies, • Work directly with our data teams and FinOps teams to drive efforts that span across teams, • Implement data governance, access control, and auditing using Databricks Unity Catalog, • Build and integrate automated, reusable data validation suites using data quality frameworks (Great Expectations or similar)Implement monitoring and anomaly detection systems for data quality, reliability and performance, • Develop and manage REST APIs to support secure data access, automation, and integration, • Collaborate with data scientists, analysts, and software engineers to deliver governed, reusable data assets, • Implement monitoring, logging, and alerting for data workflows, • Optimize cost and performance of cloud-based data infrastructureWho You Are, • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience), • 5+ years of experience in data engineering or a related role, • Strong hands-on experience with Databricks, Apache Spark and BigQuery or Snowflake, • Proven experience with Modern table formats such as Delta Lake and Iceberg, • A deep understanding of the data lifecycle and how teams operate with data, • Hands-on experience implementing data governance and metadata management using Databricks Unity Catalog, • Experience managing and extending Apache Airflow (custom operators, plugins, infrastructure), • Experience with Kubernetes, • Solid experience with AWS cloud services, especially S3 and data-related services, • Experience with data validation and data quality principles and working with SLA systems, • Proficiency in Python and SQLExperience with data modeling, data lakes, and lakehouse architectures and a strong understanding of distributed systems and big data processing, • Preferred Qualifications, • Experience with Infrastructure as Code (Terraform), • Knowledge of CI/CD pipelines for data platforms, • Experience working in Agile/Scrum environments, • AWS, Databricks, or cloud data certifications, • Experience working with data clean room environments, including implementation or collaboration within Snowflake, Databricks, or BigQuery ecosystems, • Experience with streaming data pipelines (Kafka, Flink) #LI-PS1Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact. Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

Job DescriptionAbout PayJoy PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This role The Staff Engineer is responsible for leading our technical foundation, initially collaborating with the Money - Payments teams to drive innovation, with the opportunity to work with other teams as well, taking on a mentoring role, designing scalable systems, and influencing cross-functional initiatives, in a hands-on position where they will make key technical decisions and build critical services.Responsibilities • Solve Critical Problems: Identify, prioritize, and solve technical challenges impacting growth., • Lead and Collaborate: Architect new solutions, Implement newer patterns/framework that other candidates can use and implement, Identify potential systemwide solutions, guide teams, ensuring solutions meet business goals and technical standards., • Mentor & Develop: Foster a culture of learning, guiding junior engineers., • Innovate & Improve: Drive continuous improvement in our platform and processes.Requirements, • Bachelor’s degree in a technical discipline such as computer science, software engineering, or a related field., • 12+ years of experience as Software Engineer, in a fast-paced, high-growth environment, working with cloud platforms such as AWS, GCP, or Azure., • Strong expertise in backend development with proficiency in Python; as well both relational and NoSQL databases., • Solid understanding of distributed systems, system design principles., • A can-do attitude and creative, flexible problem solving abilities, and the ability to think critically in ambiguous situations., • Being a team player, that includes review, pair programming, collaboration in one task, mentoring or being mentored., • Strong written and verbal communication skills, with the ability to present technical concepts to non-technical stakeholders., • Desirable experience with mobile technologies or mobile payment systems with the fraud and identity aspects of fintech, as well in building and maintaining large-scale systems used by millions of users.Benefits, • 100% Company-funded health insurance for employee and immediate family, • Company-funded employee life and disability insurance, • $2,000 USD annual Co-working Travel perk, • $2,000 USD annual Professional Development perk, • $340 Monthly Commuter benefit, • 401k Contribution of 3% of salary (up to IRS limits), • Headphone benefit, home office equipment allowance and wellness perks, • Catered lunches

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. 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: As a Graphics Software Engineer, you will create the next generation of multi-sensor rendering software for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable rendering and content creation solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation. You will…- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge multi-sensor simulation stack leveraging graphics, computer vision, and machine learning.- Design and implement core rendering technology for simulating cameras, LiDARs, and RADARs by mixing traditional real-time rendering with neural rendering, 3D Gaussian Splatting, generative models, etc.- Collaborate with Waabi’s autonomy and safety teams to improve the realism and diversity of Waabi World.- Have the opportunity to publish high-impact research at top conferences (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA). Qualifications:- Real-time graphics experience. You’ve spent a minimum of three years shipping real-time rendering projects, and you have extensive experience in at least one GPU API (Vulkan, DirectX, OpenGL, or similar).- Familiarity with GPU optimization. You have a deep understanding of GPU performance, and you know how to use instrumentation and tracing tools like NSight, Tracy, or Renderdoc to identify and address bottlenecks.- Strong software engineering fundamentals. You write efficient and maintainable code in systems languages such as C++ or Rust, and you are proficient in at least one shading language (GLSL, HLSL, WGSL, etc.).- A passion for building worlds. Whether you've worked on AAA games, indie titles, or complex robotics simulators, you have experience creating and working within interactive 3D environments. Bonus/nice to have:- Experience in working with robotics and other autonomous systems.- Experience with accelerated computing like CUDA, OpenCL, and Vulkan compute pipelines.- Experience with accelerated raytracing (Nvidia OptiX, Vulkan Raytracing, DXR, etc.).- Experience with Python and deep learning frameworks like PyTorch, JAX, or TensorFlow.- Experience with neural rendering (NeRF, Gaussian Splatting, etc.).- Experience working in cloud computing environments, e.g., launching and debugging GPU jobs in the cloud.- The US yearly salary range for this role is: $155,000 - $269,000 USD In addition to competitive perks & benefits, Waabi US Inc. and Waabi Canada 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 and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- 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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. 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 Description WHO WE ARE At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide. Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like. Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays. About the team The Data team at Trustly is the backbone of our decision-making and product innovation. We are a global, multidisciplinary collective of Software Engineers, Data Engineers, Machine Learning Specialists, Scientists, and Analysts who believe that data is more than just rows and columns - it is the fuel for a more transparent financial ecosystem. We operate at the intersection of high-scale engineering and deep financial intelligence. Our team processes millions of transactions in real time, turning complex Open Banking signals into seamless payment experiences. We pride ourselves on a culture of intellectual curiosity, technical excellence, and extreme ownership. About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as Trustly’s most senior data executive, responsible for the strategy, architecture, and execution of the company’s global data program. This is a broad, high-impact mandate: you will own the data platform that underpins our products and operations, the datasets that drive business decisions, the analytics capabilities that serve our internal and external stakeholders, and the machine learning and artificial intelligence initiatives that will define Trustly’s competitive edge in the years ahead. You will be a key member of the extended C-suite, partnering with the CTO, CPO, CFO, and business leaders across the company to turn data into product, revenue, and risk advantage. You will set the vision for how Trustly thinks about data as a first-class asset, while building and leading the engineering, science, and analytics teams to deliver on that vision at scale. What you’ll do Global Data Platform & Infrastructure • Define and execute the strategy for Trustly’s global data platform, including data lakehouse architecture, streaming and batch pipelines, data cataloging, observability, and correctness., • Own the end-to-end data engineering function, ensuring reliable, scalable, and cost-efficient data infrastructure that serves product, analytics, risk, and compliance use cases across all geographies., • Drive the evolution of Trustly’s data stack, making deliberate build-vs.-buy decisions and managing a best-in-class ecosystem of data tools and vendors., • Establish and enforce data standards, taxonomy, and governance frameworks that enable self-service access without sacrificing data quality or integrity., • Identify, develop, and steward Trustly’s highest-value proprietary datasets, including transaction-level payment data, bank account intelligence, consumer behavioral signals, and merchant performance data., • Define a long-term data strategy that turns Trustly’s unique data assets into durable competitive advantages - for risk management, product differentiation, and potential new revenue streams., • Oversee data governance, data lineage, and master data management programs, ensuring a single source of truth across the organization., • Champion data quality and reliability as foundational standards, implementing frameworks that ensure confidence in data used for business-critical decisions., • Collaborate with Legal, Compliance, and Privacy teams to ensure responsible and lawful use of data across all jurisdictions, including under GDPR, CCPA, and relevant open banking data regulations.Analytics & Business Intelligence, • Build and lead a world-class analytics function that delivers actionable insight to business stakeholders across Product, Finance, Risk, Operations, Sales, and the C-suite., • Establish a self-service analytics culture, enabling non-technical teams to access, explore, and act on data confidently and safely., • Own the development of key performance metrics, executive dashboards, and board-level reporting, ensuring data is accessible, accurate, and impactful at every level of the organization., • Lead Trustly’s machine learning and AI program, setting the technical vision and organizational structure for applied ML across fraud detection, risk scoring, payment success optimization, personalization, and operational automation., • Build and grow a team of machine learning engineers and data scientists, establishing rigorous practices for model development, validation, deployment, and monitoring., • Drive the responsible adoption of generative AI and large language models where they can create meaningful productivity or product value, with appropriate governance and oversight., • Define and maintain Trustly’s AI ethics and model risk management framework, ensuring fairness, explainability, and regulatory compliance across all deployed models., • Recruit, develop, and lead a high-performing, global team of data engineers, analytics engineers, data scientists, ML engineers, and BI analysts., • Foster a data-driven culture across Trustly, partnering with senior leaders to raise the overall level of data literacy and analytical rigor in decision-making., • Represent Trustly’s data capabilities externally with partners, regulators, and the broader industry, where relevant., • Contribute to the broader technology leadership team, collaborating with the CTO and peer executives on cross-cutting strategy and resource allocation.Who you are, • 15+ years of progressive experience in data engineering, data science, analytics, or a closely related technical discipline, with at least 5 years in a senior leadership role., • Demonstrated success building and scaling data platforms and teams in high-growth, data-intensive technology or financial services environments., • Deep expertise in modern data architecture: cloud data warehouses (Snowflake, BigQuery, Redshift), data lakes, streaming platforms (Kafka, Flink), and orchestration frameworks., • Hands-on understanding of machine learning and AI methodologies, with experience overseeing applied ML programs in production at scale., • Strong command of data governance, data quality, and regulatory compliance requirements relevant to financial services and global data privacy law (GDPR, CCPA)., • Track record of translating complex data strategy into business outcomes, with the communication skills to influence C-suite and Board-level audiences., • Experience managing geographically distributed, cross-functional data teams in a global organization., • Prior CDO, VP of Data, or equivalent executive title at a technology company, payments platform, or regulated fintech., • Experience in payments, open banking, financial services, or another highly regulated, data-rich industry., • Familiarity with transaction-level payment data, fraud modeling, credit risk scoring, or consumer behavioral analytics in a financial context., • Proven experience building or scaling ML platforms and MLOps infrastructure for production model deployment and monitoring., • Experience with generative AI and large language model deployment in an enterprise context., • Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience. LOCATION & WORKPLACE This is a hybrid role based out of our San Francisco or New York hubs. We look for team members to be in the office Tuesday through Thursday. SALARY RANGES IN US-BASED ROLE POSTING Our salary ranges are determined by role, level, and location. 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 and additional factors, including job-related skills, experience, and relevant education or training. Recruiters can share more information with applicants about the specific salary range for preferred locations during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only and do not include other perks and benefits. WHAT WE OFFER At Trustly, you will have the chance to solve meaningful challenges alongside some of the brightest minds in FinTech. Together, we are shaping the future of payments in an environment that celebrates curiosity, collaboration, and innovation. You will be challenged and empowered to grow, making a real impact every step of the way. Our team is as diverse as the global footprint we serve, with colleagues across Silicon Valley, the U.S., Canada, Brazil, Europe, and beyond. At Trustly, we foster a workplace where everyone feels they belong—a place where teamwork thrives, ideas flourish, and we never forget to have fun along the way. We offer innovative perks and benefits packages that include: • Flexible paid time off & generous PTO accrual plans, • Comprehensive medical, dental, vision, and other insurances, • FSA & HSA plans for medical and dependent care, • Home office set-up allowance, • Internet stipend, • Retirement plan match for 401k and RRSP At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need. 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 Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America’s food supply by building the AI farmer that automates our nation’s farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before. What We Do: We start by collecting the most valuable data for farmers, telling them everything about what is growing on their millions of trees, across thousands of acres of farmland. We do this using advanced camera systems we build, that take pictures of every one of the billions of fruit in a farm. This data lives in our cloud data platform, FruitScope, that we've developed from the ground up to help farmers manage their crops with precision. Farmers across the nation use our industry-leading software to look at their data, make critical decisions, and command farming operations on a daily basis. Our technology is used today across some of the largest farms in the nation. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Senior Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. About the role: * As an early engineer, you'll receive generous equity compensation * Full-time role at our San Francisco, CA office * Flexible working hours * Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium * We move fast, and sometimes this means staying late or working weekends * Our team is close-knit & highly driven, you’ll work directly with our CEO and entire team * We’re deeply motivated by the impact we’re making – every line of code written or new system built means less food that goes to waste, and more people who are fed. What you’ll do: * Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms. * Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems. * Develop, deploy, and monitor infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices. * Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance. * Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. * Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. * Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: * 5+ years of experience building production-grade data pipelines and ML infrastructure. * Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch). * Strong experience with data engineering tools (e.g., Pandas, SQL, Apache Airflow, Spark). * Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). * Experience working with massive amounts of real-world training data. * Familiarity with MLops software and data engineering to ensure consistent deployment of ML models. * Ability to work independently, learn quickly, and operate in a dynamic environment * Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: * Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson * Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $150K - $265K

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. 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: As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply. You will...- Prototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.- Experience working on applied research projects.- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Solid understanding of computing fundamentals, including code efficiency.- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.- Comfortable working with large datasets for machine learning applications. Bonus/nice to have:- Master/PhD in machine learning, computer science, engineering, or a related field.- Experience in shipping machine learning features/models into production.- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.- Previous experience in self-driving technology or related fields.- Publications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $122,000 - $215,000 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:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- 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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! About the Role We are looking for a builder to help lead our 'AI for Work' efforts. Together with the Director of AI Strategy and Enablement, you will build the internal AI infrastructure that makes our teams more efficient. That means building, evaluating vendors, and continuously evolving the AI systems our teams run on with the goal of maximizing every person's efficiency and scaling our ability to deploy agents across the business. You will embed directly within business functions across the organization, deeply understand how teams operate today, and fundamentally reimagine how they should operate tomorrow. This is not about bolting automation onto existing processes; it's about redesigning how work gets done with agentic tooling transforming (and eliminating) workflows. You will partner with leaders across the business to surface high-impact opportunities, architect intelligent solutions, and deliver measurable gains in productivity, output quality, and the experiences we deliver to our employees. You will define what "AI-native operations" looks like inside Taskrabbit. As the AI Productivity and Business Automation Lead, you will also own a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across Taskrabbit. You'll work closely with the Director of AI Strategy and Enablement and functional leads to map high-value process bottlenecks and identify AI solutions. You'll also help create structured experiments and pilot programs that demonstrate measurable business impact. In addition, you'll help bring cutting-edge AI technology into practical application, supporting implementation and tracking success to drive our AI Strategic Plan. You will be responsible for "mining" the business for efficiency opportunities while simultaneously helping to build the centralized orchestration layer that ensures our enterprise AI spend is governed, consistent, and scalable. This is a high-impact IC role designed for a "scrappy builder" who thrives on turning internal complexity into streamlined, automated excellence. What You Will Do: • Partner multiple functional leaders to define new standards for how teams operate in an AI-augmented environment. Reporting to the Director of AI Strategy and Enablement, you will establish the "AI-first" baseline for daily execution, ensuring that ways of working are clearly defined and consistent across all non-engineering functions., • Conduct structured discovery, shadowing teams, interviewing stakeholders, and mapping end-to-end processes, to identify where AI can eliminate, redesign, or dramatically accelerate work, • Embed within internal business functions to develop a deep, firsthand understanding of current workflows, pain points, and decision-making processes to map high-value process bottlenecks., • Reimagine workflows from first principles rather than automating existing steps; challenge assumptions about what requires human involvement and what doesn't, • Design, build, and deploy AI-powered automations, agents, and internal tools that reduce time spent on repetitive, low-value-add tasks while improving the quality and consistency of outputs, • Integrate large language models, agentic frameworks, and automation platforms into internal workflows with appropriate guardrails, error handling, and human-in-the-loop checkpoints, • Measure everything: establish baselines before intervention, track adoption and usage patterns post-deployment, and quantify productivity impact in terms of hours saved, error rates reduced, and cycle times compressed, • Serve as a trusted advisor to functional leaders on what AI can and cannot do for their teams; translate business problems into technical solutions and technical constraints into business language, • Stay abreast of the rapidly evolving AI tooling landscape (e.g., LLM capabilities, orchestration frameworks, RPA-to-AI convergence, no-code/low-code platforms) and calibrate our internal stack accordingly, • Build reusable patterns, templates, and playbooks so that successful automations in one function can be adapted and scaled across others, • Collaborate closely with the engineering and product organizations to ensure internal automation efforts align with our broader technology strategy and do not create shadow IT risk, • Help to define the framework for evaluating the success and health of our workforce transformation. You will determine the key signals that demonstrate progress, partnering with Finance and Data Science to ensure that operational shifts deliver validated value to Taskrabbit., • You will focus on moving beyond tool adoption to fundamental change, ensuring our teams are positioned to focus on high-value, high-judgment work that drives enterprise performance., • Beyond individual projects, you will focus on helping to build the mindset and capability for teams to lead their own evolution. You will create the models that allow the organization to stay agile, ensuring the workforce can continuously adapt as technology and market conditions change. Skills Required:, • Educational Foundation: You hold a Bachelor's degree in Computer Science or a comparable technical field, with demonstrated interest in Business Analytics, Finance, Data Science, applied AI, or related disciplines., • Experience: You bring 5+ years of professional experience, including 1–2 years of direct, relevant experience in AI, data, or analytics-driven roles., • GenAI Fluency: You have hands-on experience with generative AI tools (e.g., Gemini, ChatGPT, Claude) through professional, academic, or personal projects, with a strong understanding of concepts such as state management and prompt versioning., • AI & ML Knowledge: You possess a solid understanding of AI technologies and machine learning concepts, and can apply them effectively in business contexts., • Analytical Thinking: You demonstrate a strong analytical mindset, with the ability to design experiments, interpret metrics, and distinguish meaningful signals from noise., • Communication Skills: You communicate clearly and concisely, translating complex technical insights into actionable recommendations for non-technical stakeholders., • Ownership & Drive: You exhibit curiosity, a bias for action, and a strong sense of ownership in fast-moving, ambiguous environments., • Hands-on Builder Mindset: You are a scrappy, execution-oriented builder who can take ideas from stakeholders and independently develop working agentic workflows without relying on external engineering resources., • Business Acumen: You translate complex AI capabilities into clear business value, articulating ROI and impact for diverse stakeholders., • Operational Excellence: You bring rigor to operations, including managing vendor relationships, forecasting technical costs (e.g., token usage), and maintaining system reliability and SLAs., • Strategic AI Perspective: You stay current with rapid advancements in AI (e.g., LLMs, agents), proactively identifying implications for business and workforce transformation. You effectively bridge the gap between what is technically possible and what is practically scalable., • Leadership & Influence: You are a self-starter who thrives in ambiguity and can lead high-stakes discussions with senior leaders, using structured thinking and compelling storytelling to drive alignment and change., • Impact Orientation: You are deeply data-driven, partnering effectively with Finance and Data Science to define success metrics and ensure initiatives deliver measurable productivity gains and business impact., • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

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

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. 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: The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring- Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models- Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- MS/PhD in machine learning, computer science, engineering, or a related field. Exceptional Bachelor’s students will also be considered.- Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning).- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Open-minded and collaborative team player with willingness to help others.- Solid understanding of computing fundamentals, including code efficiency.- Experience in deep learning frameworks such as PyTorch.- Proficiency in Python, Rust, C++ and/or CUDA. Bonus/nice to have:- Experience deploying ML/DL models to a production motion planning or related robotics stack.- Experience in iterating on a model including evaluation, introspection and fine-tuning.- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.- Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels.The US yearly salary range for this role is: $159,000 - $296,000 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:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- 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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. 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 Description#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You'll Make • You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform, • Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform, • Analyze datasets and use important features to build low-latency models for decisions that need to be made quickly, • Deploy ML models into production environments and integrate them into the product, • Run and analyze live user-facing experiments to iterate on model quality by measuring the impact on business metrics, • Collaborate with other engineers and data scientists to create optimal experiences on the platform, • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises, • Build in-person relationships with team members and contribute to Nextdoor's company cultureWhat You'll Bring To The Team, • 4+ years of industry experience in applying machine learning at scale, • Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graphs, Ads, or NLP at scale is required, • Experience building ML models for consumer-facing products, • Proven engineering skills, with experience in writing and maintaining high-quality production code, • Ability to work with and analyze large amounts of data, • Ability to succeed in a dynamic startup environment, • Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done The starting salary for this role is expected to range from $170,000 to $334,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate's geographic location. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here. #LI-Hybrid #LI-Remote

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. 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: Waabi World depends on accurate, scalable, and efficient reconstruction of the 3D/4D physical world from real-world sensor data. As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially observed driving data into realistic and controllable digital worlds. This role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World’s ability to build high-fidelity scene assets, recover geometry and dynamics from sensor data, and support realistic simulation and rendering at scale. You will… • Conduct fundamental and applied research in neural reconstruction, including:, • 3DGS / NeRF, • Dynamic scene reconstruction, • Feed-forward reconstruction, • Multi-sensor scene representation learning, • Build scalable reconstruction and simulation systems for dynamic urban scenes, including vehicles, background, lighting, and long-range structure., • Collaborate with simulation engineers to integrate models into large-scale, distributed training and rendering pipelines., • Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH)., • Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation., • Stay current with emerging advances in neural rendering, 3D representation learning, differentiable rendering, and scalable reconstruction systems. Qualifications: • Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field.., • Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training., • Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications, • Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects. Bonus: • Proven ability to translate research into production-quality code and measurable product impact., • Demonstrated first-author publications in top-tier venues on topics such as:, • 3DGS / NeRF / neural rendering, • 3D / 4D reconstruction, • Generalizable reconstruction, • Geometry-aware or multi-sensor representation learning, • Experience working with camera, LiDAR, maps, and large-scale driving datasets.

Job DescriptionDescription: About Veryon Veryon is the leading global provider of aviation software and information services, trusted by over 5000+ customers, 75,000 maintenance professionals, and 100+ OEMs across nearly 150 countries. Our mission is to deliver smarter, predictive technology solutions, including our AI platform, Veryon AIRE that maximizes aircraft uptime and operational efficiency for the world’s most demanding aviation organizations. At Veryon, we are an AI-forward company focused on driving innovation and efficiency through emerging technologies. We prioritize hiring individuals who embrace AI, think creatively about its application, and are excited to continuously evolve alongside it. About the Role The Data Engineer is responsible for building and maintaining reliable, governed data pipelines that support finance-critical and revenue-critical workflows across Veryon. This role ensures that data across systems is accurate, consistent, and structured to enable analytics, reporting, and AI-ready data foundations. The position plays a key role in enabling data reliability, scalability, and governance across enterprise systems, ensuring stakeholders across the organization can trust and use data effectively. Key Responsibilities • Build and maintain data pipelines across CRM, billing, and accounting systems, • Ensure data reconciliation, consistency, and accuracy across multiple enterprise platforms, • Design and maintain core data models for revenue, customer, and financial datasets, • Build and optimize semantic data layers to unify data across disparate systems, • Implement data quality checks, monitoring, and validation frameworks, • Configure, maintain, and optimize ETL/ELT pipelines for multiple data sources, • Support analytics and AI data foundations to enable downstream reporting and automation use cases, • Provide administration and support for enterprise BI tools and reporting platforms, • Collaborate with cross-functional teams to ensure data availability, integrity, and usabilityRequirements:, • Bachelor’s degree in Data Science, Computer Science, Engineering, Big Data, or related field (Master’s preferred), • 3–6+ years of experience in Data Engineering or Analytics Engineering roles, • Strong expertise in SQL and data modeling (star/snowflake schemas, dimensional modeling), • Experience building and maintaining data pipelines (ETL/ELT workflows), • Hands-on experience with cloud data warehouse/lake platforms (e.g., Snowflake, BigQuery, Redshift, Databricks), • Experience working with finance or revenue systems data (billing, accounting, ERP systems such as Oracle DB or similar), • Experience integrating and working with CRM data systems (Salesforce preferred), • Strong understanding of data governance, validation, and quality frameworks, • Ability to work in cross-functional, remote or distributed teams, • Strong problem-solving skills with attention to data accuracy and reliability, • Exposure to BI tools (Power BI, Tableau, Looker, etc.) administration and support, • Familiarity with data orchestration tools (Airflow, dbt, Prefect, or similar), • Understanding of data lakehouse architectures and modern data stacks, • Exposure to machine learning data pipelines or AI/ML readiness frameworks, • Experience supporting revenue operations or finance analytics use cases, • Understanding of how data pipelines support AI/ML models and predictive analytics, • Experience enabling AI-ready datasets for automation or analytics use cases, • Fueled by Customers: Customers are at the core of every decision., • Win Together: Collaboration is our competitive edge., • Make It Happen: No excuses. Just outcomes., • Innovate to Elevate: We boldly challenge what’s standard and lift what’s possible.

Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation. What You'll Do: • Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint., • Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable., • Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions., • Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components., • Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence., • Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment. What We're Looking For: • BS in Computer Science, Machine Learning, or related field, or equivalent professional experience., • 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment., • Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models., • Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning., • Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX)., • Strong software engineering fundamentals: testing, CI/CD, containerization, and system design., • Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference., • Demonstrated ability to ship production-grade ML systems and mentor team members., • Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers Bonus Points (Nice-to-Haves): • MS/PhD in Computer Science, Machine Learning, or related field., • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning., • Background in autonomous driving, robotics, or real-time decision-making systems., • Familiarity with multimodal learning, sensor fusion, or embodied AI., • Experience building active learning loops, using the model to find the data that breaks the model., • Experience with ML-based data mining, active learning, or contrastive learning., • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms., • Publications or open-source contributions in RL, distillation, or efficient ML. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$172,000—$229,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionAbout the Company e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it’s a daily routine that nourishes your skin barrier over time. In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 28 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. Visit our Career Page to learn more about our team: Position Summary: e.l.f. Beauty is looking for a digital insights rockstar to join our dynamic, fast-paced, high-growth company. The ideal candidate will have a strong background in data analytics, digital marketing, and ecommerce performance, with a consumer first mindset. This person is highly self-motivated, curious, and strategic yet detail-oriented, with a passion for analyzing data, surfacing insights, and storytelling with data to drive business decisions. This person also has the technical skills associated with querying large data sets and extracting and synthesizing data and insights from disparate data sources and analytics tools. The position will report directly to the Assistant Vice President, Market & Business Insights. The Associate Director, Digital Insights & Analytics will build rigorous measurement frameworks and deeply analyze the digital consumer by institutionalizing standardized journey, behavior, and campaign performance models that optimize our online experience and drive conversions. The role will drive predictive analytics to propose high-impact audience targeting strategies for segmentation and personalization—including propensity modeling, next-best-action, and lifetime value frameworks—to enhance acquisition, retention, and conversion outcomes. This role will be responsible for the aggregating and sharing of digital learnings across brands across paid, owned, and CRM channels, and will translate complex analyses into concise, visually compelling executive-ready decks, dashboards, and story-driven narratives that clearly articulate the “so what,” escalate recommended actions with owners and timelines, and enforce cross-functional accountability through a continuous test–learn–scale cadence that reduces friction, improves incrementality, and aligns teams to north-star metrics for sustainable, profitable growth. The position requires strong partnerships and excellent communication with E-commerce, CRM, IMC, Creative, and Technology business leaders and cross-functional partners, as well as external vendors. This position can be based in any of our e.l.f. offices (NYC, Oakland, CA or LA) within the US.Responsibilities: • Build end-to-end measurement frameworks for digital journeys and behavior across channels, defining stage KPIs, event instrumentation, and north-star metrics to pinpoint friction and drive conversion., • Aggregate and share cross-brand digital learnings via standardized playbooks, taxonomies, and reporting cadences; align stakeholders on common KPIs and data quality for scalable, data-driven decisions., • Deliver marketing mix modeling and attribution within a disciplined framework—set inputs and governance, validate incrementality, and integrate outputs into planning to optimize budgets and channel performance., • Drive the integration, operationalization, and scaling of AI platforms and capabilities across the market & business analytics stack—including adoption of machine learning and generative AI for digital consumer segmentation, experimentation, and insight automation to accelerate decision-making and business impact., • Support measurement and optimization of A/B and multivariate tests to improve website and mobile experiences, increase conversion rates, and reduce drop-off across key funnel stages, • Lead predictive analytics initiatives and build advanced audience strategies (e.g., lookalikes, churn risk segments, product affinities, propensity) to power targeted media, onsite personalization, and lifecycle communications., • Create executive-caliber visual storytelling artifacts—decks, dashboards, and one-page syntheses—that crystallize digital insights, quantify impact, and escalate actions to drive cross-functional accountability., • Analyze performance against north-star KPIs aligned to broader business goals (conversion, retention, LTV, CAC:LTV), providing actionable insights and variance explanations., • Manage external analytics partners and tools, ensuring deliverables align to business priorities and performance targets; assess competitive landscape and data/analytics advancements to inform best practices and innovation opportunities., • Partner with technology teams to improve instrumentation, data quality, and integration of tools, methods, and processes that support scalable, reproducible analytics.Requirements:, • 7+ years of experience with web/mobile analytics reporting and analysis. Experience as a Marketing Data Analyst or similar role, with a focus on ecommerce and digital marketing analytics., • Bachelor’s degree (or MBA) in Business Analytics, Data Analytics, Marketing, Mathematics, Statistics, or related quantitative field, • Outstanding analytical, critical thinking, and organizational skills with high attention to detail. Ability to focus on both strategy and execution., • Deep understanding of marketing metrics, attribution models, and campaign performance measurement, with the ability to provide strategic recommendations., • Experience in developing/maintaining analytics dashboards and developing/maintaining reporting tools for self-serve reporting., • Passionate about customer-centricity and data-driven strategy, with the ability to effectively communicate and influence key stakeholders., • Exceptional at finding trends in the data, articulating the “so what,” and translating insights into strategic, actionable recommendations., • Excellent written and verbal communication and data story-telling skills, including the ability to clearly present findings and recommendations to diverse stakeholders., • Experience in defining metrics and KPIs, visualizing and presenting results, and tying insights back into business strategies and goals., • Advanced SQL experience, • Expertise with web analytics tools, including Google Analytics (GA4 a plus), ContentSquare, Dynamic Yield, Similarweb, Semrush etc., • Experience with CRM management tools, customer data platforms (Hightouch, etc.), • Experience with data visualization tools (Tableau, Power BI, etc.), • Proficient in MS Office core suite (Excel, PowerPoint, Word, Outlook), • Curious, inquisitive, proactive, and interested in digging for insights in data, as well as learning new tools and techniques., • A team player attitude and thrive in ambiguity, proactively identifying opportunities for impact., • Ability to work effectively in a fast-paced, team environment.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Danish, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) 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. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. 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 DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Polish, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) 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. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. 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 DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Croatian, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) 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. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. 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 DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Swedish, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) 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. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. 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 DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Italian, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) 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. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. 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 DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. 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: We are looking for a hands-on leader to build a new centralized Evaluation team. This team will be responsible for providing comprehensive and holistic analysis on all aspects of performance of the autonomy system. In this role, you will collaborate closely with the systems & safety team, responsible for defining the requirements & evaluation criteria, as well as the autonomy teams to understand their evaluation needs. You will get to work with Waabi World, our highly realistic closed-loop simulation engine built with the latest in generative AI technologies to deliver the evaluation capabilities needed to support the safe development of the next generation of autonomous vehicles! You will... • Lead and build a cross functional team of software engineers, data analysts, and data scientists supporting automated workflows that provide high signal on autonomy performance., • Design scalable production frameworks for sampling evaluation sets, developing and improving metrics, and systematically measuring the performance of both autonomy and the eval ecosystem itself., • Design pipelines, tools, and dashboards to characterize autonomy performance for technical teams and executive leadership, collaborating closely with platform teams on implementation, and autonomy, systems and safety and product teams on requirements., • Work closely with simulation and software teams to build solutions that leverage our data, metrics and simulation platforms effectively., • Lead technical projects; contributing as an IC while also managing the team., • Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers., • Conduct regular one-on-one meetings to offer guidance and constructive feedback to direct reports. Qualifications: • Minimum of 6+ years of autonomous vehicle industry experience including at least 2+ years managing high performing teams, • Experience evaluating AI or machine learning models, ideally in self-driving or related fields, • MS/PhD or Bachelors degree in Computer Science, Data Science, Robotics and/or similar technical field(s) of study, • Strong statistical background, • Experience working with internal cross-functional partners/stakeholders, • Experience with system design/architecture and algorithms, • 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: • Previous experience leading Autonomy Evaluation teams

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. 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: As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to perceive the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. You will...- Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes.- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving.- Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.- Experience working on applied research projects and shipping machine learning features/models into production.- Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Solid understanding of computing fundamentals, including code efficiency.- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.- Comfortable working with large datasets for machine learning applications.- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.- Open-minded and collaborative team player with the willingness to help others.- Experience and excitement in supporting a fast-paced high-growth environment.- Passionate about being part of an organization solving self-driving technologies. Bonus/nice to have:- Previous experience in multimodal sensor fusion. - Previous experience in self-driving technology or related fields.- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 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:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- 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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. 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 Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals. Our customers are our greatest asset. Syndio partners with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes. Join us in our mission to help companies make smarter pay decisions they can trust! About the role: We are seeking a talented Staff-level AI Developer to join our applied AI team. In this role, you will be responsible for designing, building, and scaling our AI systems that solve complex problems related to compensation and compliance. You'll work closely in a cross-functional squad that includes data scientists, software engineers, product managers, and business stakeholders. You will have the opportunity to work at the forefront of AI innovation–exploring emerging tools and techniques while translating them into production-ready solutions that deliver real business impact. Why this job is exciting: • Design, develop, and deploy production AI/ML systems that deliver business impact to our customers., • Build and maintain LLM-based applications leveraging context engineering techniques and toolsets., • Collaborate with data scientists to transition approved proof of concepts from a research environment into production., • Integrate AI capabilities into existing products and services through APIs and microservices., • Design and implement evaluation frameworks to assess model accuracy, reliability, and task-specific performance., • Monitor production performance and implement optimizations based on evaluation metrics and real-world usage patterns., • Proficiency developing clean modular and efficient code with Python, • Track record building and deploying AI systems within Google Cloud Platform, familiarity with BigQuery, Firebase, and Vertex AI, • Working knowledge of Google Gemini, OpenAI, and Anthropic APIs, • Familiarity with evaluation methodologies for assessing LLM accuracy, hallucinations, and task-specific performance, • Exposure to—or strong interest in—vector databases, semantic search, agent frameworks, and protocols like MCP for connecting AI systems to external tools and data sources, • Fluent with AI-assisted development tools (Cursor, Claude Code, GitHub CoPilot), • Foundational knowledge of machine learning concepts, model architectures, and LLM capabilities and constraints, • Natural curiosity and passion for staying current with rapidly evolving AI technologies, • Ability to balance innovation with practical business requirements, • Adaptable when navigating ambiguity and rapidly shifting priorities We believe in starting simple, soon — progress over perfection. We value architectural clarity and execution speed. You'll be joining a small, ambitious team committed to high trust, low ego collaboration. It's a dynamic environment where teams embrace ambiguity, adapt quickly to change, and move fast to seize opportunity. As such, we empower engineers to make bold moves and back it up with a culture that supports learning through iteration. Why you'll love it here: • 💰 Competitive Compensation. For this role our base salary is targeted at $205-244k CAD. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location., • 🏆 Syndio Equity. So you can share in Syndio's success., • 🏝 Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave., • 🩺 Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents., • 🏥 Life Insurance & Disability. Syndio covers the full premium., • 🏦 401(k). To help you save for your future Below you'll find an outline of the interview plan for our Staff AI Developer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. • 30 min - Phone call with a member of our Talent Team, • 75 min - Zoom interview with the Hiring Manager, • Skills Evaluation - Take-home Assignment, • 75 hr - Technical Interview with Team Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

Job DescriptionA Bit About Us We are Arcadia Science, an evolutionary biology company founded and led by scientists. Our mission is to turn natural innovations into real-world solutions by developing systematic and quantitative approaches to leveraging biology for therapeutics R&D. We share our research as openly as possible to accelerate discovery and make our work broadly useful. The Opportunity We’re closing the gap between biological data and biological understanding. Our Platform team builds evolution-aware statistical and ML methods that use phylogeny as structure, making inference more reliable and more generalizable. The result is shared infrastructure that supports research across Arcadia. Read more about our work through our publications. We are seeking a Platform Fellow to join our Platform team for a 3-month fellowship. Platform uses phylogeny to guide the development of many of our statistical models, machine learning tools, and evolutionary frameworks, powering research across Arcadia. This is an ideal opportunity for scientists in the final stages of their PhD or postdoc training who want to experience industry research in an open science environment, or for researchers looking to apply their quantitative skills to evolutionary biology in new ways. Platform Fellows will work closely with our computational teams on projects at the intersection of machine learning, statistics, and evolutionary biology. Fellows will contribute to a defined project with the goal of publishing their work openly by the end of the fellowship. Areas of Focus We are looking for candidates with expertise in one or more of the following areas: - Probabilistic modeling and statistical inference- Supervised and unsupervised learning for high-dimensional biological data- Interpretability methods development for ML models- Phylogenetic inference and evolutionary modeling- Comparative and evolutionary genomics across species- Quantitative and population genetics, including human genetics- Analysis of natural selection, adaptation, and trait evolution- Statistical and machine learning approaches to quantitative geneticsWhat You'll Do • Work with Platform team members on a defined computational project aligned with Arcadia's research goals, • Independently manage your fellowship work, troubleshooting issues as they arise, • Keep detailed documentation for all workflows, code, and analyses, • Publish results openly and share data, code, and methods by the end of the fellowshipQualifications, • PhD in computational biology, statistics, machine learning, genetics, evolutionary biology, or a related quantitative field, • Strong programming skills (Python and/or R required; familiarity with bash and version control), • Experience with statistical modeling, machine learning, or phylogenetic methods, • Ability to work independently while collaborating with cross-functional teams, • Strong written and verbal communication skillsFellows will receive a competitive monthly stipend. Travel and relocation support is available for candidates relocating temporarily to the Bay Area.What We Look For The first thing we look for is technical talent at the leading edge of a field. To us, this means independent and generative scientists doing basic research that has the potential to produce evidence challenging standard practices. This is true for all of our roles: whether someone is an individual contributor or a people manager, we want researchers pushing their field forward. For this role in particular, we are looking for scientists who want to apply quantitative methods to biological questions across the tree of life. The ideal candidate is comfortable with ambiguity, moves quickly, and communicates clearly through writing. Our team is flexible and often needs to pivot to match the pace of development at the cutting edge of multiple fields. Writing independently is crucial since we share everything we think is valuable to the community and will help us move our research forward. We try to develop novel approaches for every aspect of our science, and everyone on our team is expected to innovate in their domain. This is not easy, and won't be for everyone. We believe a culture where this is possible stems from how we act. Application Process Interested applicants should apply using the link. We expect to review applications at a monthly cadence. Due to anticipated volume, we may not be able to respond to all applicants. If you advance beyond initial review, we will let you know.

Job DescriptionJoin the Future of Robotic Biomanufacturing! Multiply Labs is a robotics company on a mission to solve a significant bottleneck in modern medicine: the manufacturing of life-saving advanced biologics - including cell therapies, gene therapies, mRNA therapies, and more. Currently, advanced biological therapies are produced through manual, labor-intensive processes. This keeps costs astronomical—often exceeding $0.5M-$2M per patient—and limits access to only a fraction of those in need. As labor scarcity for scientists compound against increased product complexity and sky-high costs of failure, the emergence of robotics and AI makes the automated manufacturing of biologics feasible, reliable, and economically scalable. We envision that the biomanufacturing factory of the future is fully robotic - closed, automated, and scalable, making therapeutics for some of the most important indications for patients today widely accessible. Why This Matters We don’t just build robots; we build the infrastructure for the next generation of biologics manufacturing. Our technology allows biopharma companies to scale production without redesigning their science, drastically lowering regulatory hurdles and bringing costs down to a level where these treatments can actually reach patients. The Stack & The Scale The Mission: Build the world’s best robots to make life-saving therapies accessible to all.The Technology: Advanced robotic orchestration, high-precision automation, cloud-integrated hardware-software systems, dextrous manipulation, and imitation learning.The Location: Headquartered in San Francisco, CA.The Backing: Supported by premier investors, including Casdin Capital, Lux Capital, and Y Combinator. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. About the Role At Multiply Labs, we are applying AI to solve complex manipulation challenges in robotic cell therapy manufacturing. We're looking for a Research Scientist specializing in robotic manipulation to develop the next generation of our intelligent robotic systems. You will be responsible for developing frontier research results, developing and deploying practical systems with a core focus on dexterous & mobile manipulation.You will work closely with a multi-disciplinary team and directly impacting our mission to manufacture life-saving therapies at scale.Responsibilities include: • Research focused on advancing robotic manipulation systems by developing exciting new ideas and providing solutions to complex problems, • Collaborate on publications to be submitted at worldwide conferences, • Working with fellow researchers and engineers to develop prototypes, • Apply yours and others’ research to real world problemsRequirements, • MS or PhD in a robotics-relevant field, • 5+ years of experience in research and development, • A strong theoretical and practical understanding of modern approaches for robotic manipulation, which might include imitation learning, reinforcement learning, and vision-language-action (VLA) models, • High proficiency with Python and deep learning frameworks (e.g., PyTorch)., • Experience collaborating in large and complex code bases, • Experience with modern robotics simulation environments designed for ML (e.g., Isaac Sim, MuJoCo, PyBullet)., • A track record of deploying onto physical robot hardware, especially high-degree-of-freedom manipulators or humanoids., • Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields, • Robotics: ICRA, IROS, CoRL, RSS, TRO, IJRR, etc, • Computer vision: CVPR, ICCV, ECCV, etc, • Machine Learning: NeurIPS, ICLR, ICML, etcNice to Haves, • The following is an example list of expertise - because robotics is such a broad umbrella, we do not expect candidates to check every item here; if you have an expertise that is not listed here, please also let us know via the cover letter., • Experience with planning algorithms (A, RRT, PRM, etc), • Experience with controller design (linear/nonlinear/optimal/robust/adaptive control, LQR, DDP, MPC, etc), • Experience with optimization techniques (linear/quadratic/semidefinite/nonlinear optimization, etc), • Experience with dynamics modeling (linear, nonlinear, Euler-Lagrange, Newton-Euler, Featherstone, etc), • Experience with partial sensing (POMDPs, Kalman filters, particle filters, etc), • Experience with task planning (TAMP, STRIPS, MDPs, etc), • Experience with robotics toolkits (ROS/ROS2, OpenRAVE, MoveIt!, etc)Total Rewards & Life at Multiply Labs, • Competitive Compensation: Salary range of $160,000 - $210,000 a year plus meaningful early-stage equity. We want our team to have a real stake in the future we’re building., • Premium Health: Premium Medical, Dental, and Vision plans with subsidies for child dependents., • Wealth Building: 401(k) with a 4% company match to help you plan for the long term., • Pre-Tax Commuter Benefit: Pay for eligible transit and parking with pre-tax dollars to save on commuting costs., • Parental Support: Robust Paid Parental Leave to support your family’s newest additions., • True Flexibility: We offer Flexible PTO and 12 Paid Holidays, trusting you to manage your time and recharge when you need it., • No Set Hours: Set your own schedule in alignment with your manager and team. We hold a high bar, measuring success by impact and outcomes – not hours logged., • Office Perks: A vibrant SF office culture featuring catered team lunches, stocked kitchen, and frequent team events., • H-1B and Green Card sponsorship available for exceptional talent., • Referral bonuses for helping us build a world-class team.

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:Our team at Quizlet has one goal: Make Quizlet’s social presence best-in-class. We’re a quirky, collaborative, and analytical group that is hyper-focused on making the best social content in our class. About the Role:You will lead all @quizlet socials end-to-end. Strategy, ideation, measurement, partnerships, creating, posting, and engaging with viewers. You are the Directly Responsible Individual of all @quizlet social content; and you are determined to make them best-in-class. 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 content for all Quizlet-branded channels (@quizlet on all platforms) including Instagram, TikTok, YouTube, Pinterest, et al, from strategy to execution, • Create content every day, being active and hands-on in every step of the creation process, • Tell our story and participate in pop culture through content that feels more human than corporate, more unhinged than sterile, • Create the face of our brand on social, recurring themes and motifs, storytelling, and content that allows us to naturally participate in pop culture and commentary, • Spearhead brand partnerships with brands that are aligned with Quizlet’s core values and take those partnerships from end-to-end, from outreach to post, • Work cross-functionally to measure the success and impact of content you create, ensure alignment with core Quizlet brand values, and collaborate with teams on product launchesWhat you bring to the table:, • Deep understanding of what makes engaging branded social content, • One-step-ahead mentality on what differentiates a brand on social media, • Clear understanding and up-to-the-moment knowledge on viral trends and cultural moments, • Exceptional creative storytelling abilities, • Ability to analyze and articulate why content goes viral and drives results for a brand, • Proven track record of creating engaging short-form content; you may have 10’s or 100’s of millions of views on your content in aggregate, • Self-starter; ability to unblock yourself; growth mindset., • Proactive in nature; bias toward action over deliberation, • Experience partnering with Press Relations or other cross-functional groups for earned media opportunities stemming from viral social contentBonus points if you have:, • Experience leading socials for a top-tier, leading brand., • Experience handling and coordinating on-set film shoots including: filming on a campus and coordinating the movement of and logistics for physical items around locationsCompensation, 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 $115,000 - $140,000, 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-onsite 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’s overall Marketing team is responsible for driving brand awareness, user engagement, subscription, and ads growth. The Head of Lifecycle role will lead the Lifecycle Marketing team, which focuses on driving customer engagement and retention through various owned channels. The Lifecycle team works cross-functionally with product marketing, brand, product, and engineering teams. This role reports to the Director of Growth Marketing. About the Role: As the Head of Lifecycle Marketing, you will be responsible for growing activation, engagement, retention, and subscriptions via our Braze-run channels. You will lead the Lifecycle Marketing team in managing our triggered and seasonal ad hoc programs in service of driving incremental sessions and monthly active users. You will help shape the ways campaigns come to life with personalized data, timely targeting, and engaging copy and creative. Your strategic mindset and deep understanding of customer behavior will be instrumental in helping you evaluate opportunities and prioritize incoming tickets. You’ll be confident using data to shape campaign structures and strategies as well as in analyzing campaign and channel effectiveness. From a channel perspective, you’ll help us establish strong performance baselines and best practices across email, push, SMS, and many onsite channels. You’ll collaborate with product, data science, and engineering team members across the company to unlock new triggered and ad hoc campaign opportunities and experiences. As you test and learn, you’ll help us establish playbooks for scaling the impact of winning initiatives. As an excellent communicator, you will be confident in sharing your learnings and proposals in well-synthesized decks and documents. You will thrive in this role if you can break down your thinking, solicit direct feedback, and bring stakeholders along for the ride. We’re looking for a candidate who can make decisions quickly and who can interpret and share results in a way that helps move our overall business understanding forward. Last but not least, you’ll be someone who can inspire and mentor your team members to grow their technical and strategic expertise in lifecycle marketing. 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: • Develop and implement comprehensive lifecycle marketing strategies that align with the company’s growth objectives, enhancing customer engagement, • Lead cross-functional initiatives to optimize the customer journey, from sign-up and activation through product adoption, retention, and subscription, • Drive best-in-class campaign analysis, partnering with our analytics team to ensure we can optimize campaigns to deliver strong incremental results, • Use data analytics to gain insights into customer behavior and preferences, leveraging these insights to tailor marketing efforts and improve campaign effectiveness, • Oversee the management of all lifecycle marketing channels, including email, SMS, push notifications, and in-app messages, ensuring user-friendly, cohesive, and personalized customer communication, • Collaborate with product marketing, brand, product, and engineering teams to ensure marketing strategies are integrated and supportive of overall business goals, • Stay ahead of industry trends and advancements in lifecycle marketing technologies and practices, continuously innovating and evaluating new channels and capabilities with analytical test-and-learn approaches, • Lead, mentor, and develop a high-performing marketing team, fostering a culture of excellence, creativity, and continuous improvementWhat you bring to the table:, • 10+ years of experience in lifecycle or digital marketing, with at least 3+ years in a team leadership role, • Deep understanding of marketing automation tools and CRM systems, • Proven track record of designing and executing successful lifecycle marketing strategies. You’ll be someone who can take a 50,000 foot view, think through structural implications, and sweat the details of design, message, and execution, • Strong analytical skills, with experience in data analysis and customer segmentation, • Strong track record of A/B testing for optimization and holdout reporting to measure campaign and channel effectiveness, • Creative thinker with a customer-centric mindset, • Great concise consumer copywriting skills, • Experience building complex lifecycle campaign canvases and ability to coach and recommend iterations and new tests to drive efficiencies and transferable learnings, • Excellent leadership and team management abilities, with a passion for mentoring and developing talent, • A high degree of attention to detail, coupled with the soft skills to deliver effective feedback to team members, • Outstanding communication and collaboration skills, capable of working effectively across different teams and departments, • History of influencing cross-functionally to enable your team with well-connected data library and strategy, • Excellent organizational and prioritization skills, and the ability to implement process improvementsBonus points if you have:, • Background using Braze for marketing automation, • Familiarity with Liquid logic, • Familiarity with the ed tech landscape and/or Gen Z consumers, • Experience working within a freemium consumer subscriptions business, • Experience driving onsite marketing campaigns and building new onsite channels, • Experience doing lifecycle for a global company including localization considerations, • Lightweight design skills in Figma to mock up ideasCompensation, 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 $156,000 - $204,000 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-onsite 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 Who we are: Build your career with Boldt. As a member of the Boldt team, you’ll collaborate with some of the most knowledgeable professionals in the construction industry. You’ll have the chance to learn new skills and seek greater responsibilities with a team that builds real value in the world around you. You’ll succeed in a workplace culture that recognizes, respects, and values differences. Boldt’s focus on innovation, collaboration, and employee development provides an opportunity for all our employees to Build Boldly. This position is open due to the growth that we are experiencing in the California Healthcare market. We currently have a number of large projects ongoing and large projects slated to start in 2026. How your role fits into Boldt: The Senior Production Manager (SProdM) leads the development and optimization of the production planning and execution of the project by challenging traditional approaches to fabrication, installation, and construction operations. The SProdM will work directly with multiple small projects or one large project team to coach, lead and integrate the Boldt Production System (BPS), Safety, and Quality Management Systems. The SProdM strives to execute Boldt best practices in production planning, workspace design, supply chain management, progress analysis, issue management and production control with the goal of uninterrupted workflow. The SProdM will work with the Project Manager and Superintendent to support and encourage any members of the production supervision and Last Planners in their quest to achieve flow and improve the work environment and job satisfaction of the installer. The SProdM will work as a conduit between all levels of management and empower team members to work together to challenge any inefficient work practices. The SProdM is responsible for promoting a project culture of hands-on continuous improvement to increase predictability and optimize flow in construction. WHAT YOU GET TO DO: • Provide leadership for multiple small projects or one large project Production Team for the development and implementation of production processes and production optimization using the Boldt Production System (BPS)., • Lead interviewing and extracting production information from Project Team Members. Honesty, fairness, hard work, performance, and a love of construction are what we value. The ideal team player at Boldt is humble, hungry, smart, reliable & gritty., • Develop and update safety, quality, and production visuals to promote continuous improvement of field operations and making problems visible., • Lead training for Boldt and trade contractor staff to build capability to implement BPS; arrange for additional training or coaching as needed., • Provide leadership to VDC/BIM staff to optimize the use of project models, and available VR and AR to support production planning and field execution., • Lead “focus walks” and field observations with project staff to help analyze current state conditions, identify obstacles or problems, and help create plans for improvement., • Actively work with the superintendents, foreman and craft workers to surface and identify issues, mistakes, challenges, obstacles, and waste in the work processes to facilitate solutions and continuous improvement., • Assure periodic assessment of production, quality and supply chain system implementation to promote learning and continuous improvement., • Support the development and implementation the Safety Management System, • Ensure strict adherence to safety, ethics, and compliance requirements at all times., • Support the development and implementation the Quality Management System, • Facilitate and participate in the Built-in Quality (BiQ) effort, including First Run Studies, visual displays, instruction/installation manuals, and other items necessary for building the project right the first time., • Lead the development and implementation the BPS., • Support and lead the scheduling and managing trade coordination meetings, look ahead planning meetings and daily huddles., • Develop the production strategy per phase of work with the Project Managers and Superintendents…be the overall schedule gatekeeper., • Actively work with the last planners to implement BPS and remove any constraints to improve production flow., • Integrate the procurement schedule into the project production strategy to ensure material and trades are onsite when needed to execute the work., • Develop and maintain up-to-date production visuals and site logistics plans., • Setup the production tracking, production reporting and forecast processes., • Bachelor’s degree is preferred in the areas of construction management or engineering. An equivalent combination of education, training and/or experience may be considered in lieu of a degree., • Seven to ten years of related experience., • Working knowledge of construction equipment and techniques, drawings, and specifications, building materials and required standards applicable to discipline., • Ability to assume responsibility, interface, and communicate effectively with others., • Strong logic and problem-solving abilities, solid technical/analytical skills and possess a high degree of personal motivation., • Demonstrated ability to lead, influence, and motivate colleagues and team to meet defined objectives, and proven track record of executing and achieving results across functional boundaries with minimal oversight., • Excellent organization and multi-tasking skills; friendly; able to empathize and build consensus, • Outstanding oral and written communication abilities as well as presentation skills., • Ability to coach and mentor all Production Team members. While performing the duties of this job, the employee is frequently required to remain in a stationary position for up to eight hours. The employee occasionally is required to move to access people or workspaces. Constantly operates a computer and other office equipment, such as a calculator, copy machine and computer printer. The ability to effectively communicate is required. The employee may occasionally move up to 15 pounds. The working conditions of this position requires the employee to work inside an office environment. The environment for which this position functions may contain scents and fragrances. May be requested to work overtime and weekends. What we can offer you: As an employee owned organization, along with a culture built around safety and team collaboration, we offer a variety of employee benefits. In addition to the standard health, 401K, and paid time off benefits, we also offer: • An Employee Stock Ownership Plan (ESOP) to share in the company’s success along with an annual bonus based on overall company performance, • Wellness resources, including a health mentor, health assessments, maternity management, wellness challenges and life care, • Have equal access to opportunities and resources at all levels of the company, • Opportunity to grow and persevere including educational reimbursement, • Diversity, equity, and inclusion training programs, • Mentorship program If you are an individual with a disability and you need an accommodation or other assistance during the application process, please contact our Human Resources department. The Boldt Group and its subsidiaries engage recruiting agencies exclusively through our Enterprise Support Talent Acquisition team and only when a valid, Boldt‑approved agreement is in place. Boldt does not accept unsolicited resumes or candidate submissions at any time—including from agencies with an active agreement—unless the submission is expressly requested by the Enterprise Support Talent Acquisition team. Any unsolicited submissions will be deemed the property of The Boldt Group, and no placement fees will be paid. All agency inquiries must be directed to the Enterprise Support Talent Acquisition team. At this time, we are not entertaining any new agency submissions or outreach. The Boldt Company is an Equal Opportunity Employer. Disclaimer: This job description is intended to be a summary of the primary essential duties and responsibilities of this position. The job description is not intended to be inclusive of all duties an individual in this position might be asked to perform or all the qualifications that may be required either now or in the future. Other duties, responsibilities and activities may be assigned or changed at any time.

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: At Quizlet, Product Operations focuses on how work gets done. The team partners with Product and Engineering to improve execution reliability by strengthening the systems, operating rhythms, and shared visibility that enable teams to plan, coordinate, and deliver complex work. We are moving toward an embedded operating model, where Product Operations partners closely with product and engineering teams to execute on priority initiatives and team operations while remaining part of a centralized group that collaborates on standards, tools, and practices across the organization. As the team and operating model continue to learn and evolve, roles flex to meet the organization’s highest-priority needs, creating opportunities to work across different product areas and initiatives over time. About the Role: We’re looking for a Product Operations Program Manager to drive execution for complex, cross-functional product work within a product and engineering pillar. This role combines hands-on program leadership with ownership of the operational systems, rhythms, and practices that enable teams to plan and deliver work consistently. You’ll own execution for select high impact initiatives each quarter, ensure company wide operational programs land effectively within your pillar, and partner with other Product Ops leaders to build systems and processes that scale across the organization. You’ll work closely with Product and Engineering leaders to translate complexity into clear plans, realistic sequencing, and early risk visibility. This role sits at the intersection of product, engineering, and operations and is ideal for someone who thrives in ambiguity, thinks in systems, and enjoys making complex work land predictably. 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 execution for a select set of high-impact, cross-functional initiatives each quarter, • Develop and manage initiative plans, milestones, dependencies, and delivery signals to ensure predictable execution, • Proactively surface execution risks, constraints, and tradeoffs, partnering with Product and Engineering leads to resolve issues before delivery is at risk, • Maintain clear ownership, timelines, and status so teams and stakeholders have a shared understanding of progress and risk, • Serve as the operational owner for your assigned pillar, ensuring teams operate with clarity, consistency, and predictable execution practices, • Ensure company-wide Product Ops programs, standards, and operating rhythms are implemented consistently within the pillar, adapting where necessary to fit team realities, • Own execution health for the pillar by identifying operational friction, gaps, or breakdowns and driving durable improvements over time, • Act as the primary operational point of contact for execution questions, patterns, and improvements within the pillar, • Partner with other Product Ops leaders to design, pilot, and evolve organizational systems and processes that scale execution across all product teams, • Design and improve operational systems, workflows, and documentation that reduce coordination overhead, • Partner with Go To Market teams (Marketing, User Ops, T+S, Legal, etc.) to support launch readiness and execution for key initiatives, • Ensure launch plans account for timing, dependencies, risks, and downstream enablement needs while maintaining clear ownership boundaries, • Act as a connector across Product, Engineering, and GTM partners to ensure changes in scope, timing, or approach are communicated clearly and earlyWhat you bring to the table:, • 8+ years of experience in program management, project management, product operations, or a related execution-focused role within a product-led organization, • Proven experience driving execution for complex, cross-functional initiatives spanning product, engineering, and GTM partners, • Technical awareness— you’re comfortable understanding high-level system architecture, platform dependencies, data flows, and technical constraints well enough to anticipate execution risks and sequencing challenges, • Ability to partner credibly with engineering leaders by proactively identifying potential risks, asking the right technical questions and translating technical complexity into clear execution plans and communication, • A deep systems-thinking mindset—you naturally look for patterns, design repeatable workflows, and improve how work scales across teams, • Experience designing or evolving operational systems, workflows, and operating rhythms that improve delivery reliability and reduce coordination overhead, • Comfort navigating ambiguity and change, with a calm, structured approach to problem-solving, • Clear, confident communicator who can align diverse stakeholders around prioritiesBonus points if you have:, • Experience partnering with platform, infrastructure, or data teams, especially where dependencies or sequencing were non-trivial, • Exposure to highly technical initiatives (e.g., migrations, foundational investments, ML-adjacent systems), even if not owning technical decisions, • Experience supporting execution during organizational change (reorgs, rapid growth, operating model shifts), • Experience with consumer-facing web and mobile productsCompensation, 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 $168,000 - $210,000, 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-DNP 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 DescriptionSalary: $20-$50/hour DOE About Cobalt AI Cobalt AI utilizes a combination of human expertise, robotic technology, and monitoring intelligence solutions to effectively resolve any security incidents. Our dedicated team patrols and monitors sites 24/7 to proactively prevent break-ins, identify significant leaks, and provide our customers with visibility over their space, their assets, and their data. Cobalt's team is composed of renowned technologists and security professionals and is backed by world-class investors such as Sequoia, Bloomberg Beta, and Coatue. In 2019, Cobalt was recognized as one of the Best Places to Work by the Silicon Valley Business Journal and the San Francisco Business Times. Were looking for people who want to make an impact with us and help build a company that is known for its excellence in engineering, passion for progress, and dedication to customers. About The role: The Reserve Engineer (RE) is someone who is knowledgeable with computer hardware and provides our clients with top-notch customer service. The RE serves as Cobalt's "boots on the ground" and are part of our rapid-response field-operations team in the event a hardware-failure happens at a client site. Occasionally, REs assist with field projects and new robot deployments. The RE an essential role-player in keeping our robots operating and our clients happy. Please note, this is not a remote position. What You'll Do • Learn our robot hardware inside and out to be comfortable servicing and maintaining our machine. (we'll provide the paid training), • Communicate with both technical and non-technical teammates with field repairs and projects., • Ensure hardware failures on our robots are addressed, and resolved within a safe and timely manner., • Occasionally assist with field operation projects and new robot deployments, • Be dispatched to client sites within your area to resolve hardware failures 1-3 times a month(potentially more), • Reports to a Regional Project Manager for tasking and delegation. You're a Great Candidate If • You're excited about robotics, artificial intelligence, machine learning, and willing to learn, • You're familiar with hardware assembly and disassembly.(Tool kit with basic hand tools will be provided), • You're Familiar with computer hardware and small electrical components(proprietary training will be provided), • You're an excellent communicator and comfortable collaborating and receiving instruction on platforms such as Slack, GoogleMeet/Hangout etc., • You are available during days and times within Mon-Fri, 9a-5p. (Flex/Oncall schedule), • You're open to support jobs that may occur after hours(5pm-9am) and on weekends.(Flex/Oncall schedule), • You're presentable and comfortable speaking to clients from Fortune 100 & 500 companies., • You love providing great customer service. Bonus Skills • Experience with robotics, • Experience with computer hardware and electrical components, • Experience working in a fast-paced startup environment., • Military/First Responder, • Associate degree or higher The Reserve Engineer is a 1099 contractor position at Cobalt AI and is NOT a remote position. Compensation range is between $20-$50/USD hr DOE. Cobalt AI does NOT pay for relocation for this role. Cobalt AI is an equal employment opportunity employer and values diversity. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.

Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: • Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new., • Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always. As a Senior Product Manager – Data & AI at SmithRx, you will lead the product strategy and execution for the core platform capabilities that leverage data, analytics, machine learning, and Generative AI to power automation, intelligence, and faster decision-making across our ecosystem. This includes developing a deep understanding of product and usage analytics to inform data driven decisioning. Supporting solutions that span Integrations, Adjudication, Core Data and Reporting Systems Intelligence. You'll thrive in this role if you're excited about solving complex problems with data and have experience in health-tech, Pharmacy Benefits Management and/or related domains. What you will do: • Integrations, Adjudication & Core Data Systems Intelligence: Lead data and reporting foundations / readiness, and AI-based solutions, partnering closely with the Platform Integrations & Adjudications PM team., • Product Analytics & Experimentation Execution: Implement the product analytics framework within the Integration, Adjudication and Core Data systems experiences; own tagging and data collection requirements; lead/administer A/B testing experiments, measurements and readouts; supporting the ROI model that guides investment decisions., • AI / ML: Partner with the PM team to drive the identification, discovery, delivery and testing of new AI-based solutions within the Integrations, Adjudication & Core Data Systems Intelligence Platform product area., • Data Quality Execution: Drive prioritization, triage, and remediation workflows for data quality issues, aligned with our enterprise-level Data Quality governance standards., • Pre-Launch Data & Sales Proposal: Own requirements and execution for pre-launch claims ingestion, automation/self-service ingestion workflows, and the data components powering the SmithRx Sales Proposal Engine., • Invoicing Execution & Next-Gen SmithRx Invoicing: Own and prioritize invoicing enhancements and defects. Leading the requirements and cross-functional delivery for our new invoicing workflows, driving the long-term EDW + ERP invoicing redesign., • 7+ years of product management experience, with a focus on data-centric or AI-driven products., • Experience in health-tech, pharmacy benefits, or healthcare data environments strongly preferred., • Proven success launching products that leverage data science, ML, or advanced reporting and analytics., • Strong technical fluency and experience collaborating closely with engineers and data analysts., • Experience with complex systems, integrations, and healthcare datasets.Experience navigating complex, high-dependency technical ecosystems with multiple intersecting data domains is highly preferred. You should be comfortable managing the downstream impacts of data changes in a tightly coupled architecture., • Excellent communication and storytelling skills—able to clearly translate between business and technical audiences., • Thrives in fast-paced, high-accountability environments with a strong sense of ownership., • High-Impact Ownership – You'll directly shape how data and AI improve healthcare experiences and cost savings., • Innovate at Scale – Drive the next wave of intelligent automation and analytics in pharmacy benefits., • Collaborate Across the Organization – Partner with teams to understand and deliver valuable solutions., • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance, • Flexible Spending Benefits, • 401(k) Retirement Savings Program, • Short-term and long-term disability, • Discretionary Paid Time Off, • Paid Company Holidays, • Wellness Benefits, • Commuter Benefits, • Paid Parental Leave benefits, • Employee Assistance Program (EAP), • Well-stocked kitchen in office locations, • Professional development and training opportunities

Job DescriptionTo help keep everyone safe, we encourage all applicants to pay close attention to protect themselves during their job search. When applying for a position online you are at risk of being targeted by malicious actors looking for personal data. Please be aware we will only reach out via email using the domain quanata.com. Anything that does not match those domains should be ignored and considered a security risk. About Us Quanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer, State Farm. Learn more about us and our work at quanata.comOur TeamFrom data scientists and actuaries to engineers, designers and marketers, we're a world class team of tech-minded professionals from some of the best companies in Silicon Valley, and around the world. We've come together to create the context-based insurance solutions and experiences of the future. We know that the key to our success isn't just about nailing the technology—it's hiring the talented people who will help us continue to make a quantifiable impact.The role We're seeking a senior backend engineer to build and enhance the critical services that power our business. You'll be developing systems that manage core financial and underwriting operations, coordinating dynamic machine learning models to increase the intelligence of our industry-leading policy management solution, and optimizing our application's architecture and observability to meet the performance and reliability demands of our customers. Your day-to-day • Design and implement client-facing and internal APIs, • Orchestrate data flows between backend systems, • Create and manage database schemas, • Build automated test suites, • Lead the design and implementation of substantial product features end-to-end, • Evaluate and integrate with third-party services and tools, • Help to mentor mid-level and junior engineers on your teamAbout you, • Bachelor's degree or equivalent experience, • 5-7 or more years experience in a full stack or backend role, • Technical skills, • Professional experience with Go, • Experience designing, developing, debugging, and deploying high performance client/server systems for mission-critical applications, • Comfort working with both relational and non-relational database systems, • Familiarity with a wide variety of messaging systems, with opinions on which to use when, • Comfort working with cloud-based infrastructure providers and modern CI/CD, • Knowledge of security and testing best practices, • People skills, • Strong communication and collaboration skills, • Growth mindset, and the humility to model it for others, • Willingness to take initiative and accountability, • Familiarity with some of the other technologies we use including GraphQL, gRPC, Postgres, Mongo, Snowflake, Kafka, Python, TypeScript, Docker, Kubernetes, and AWS *Please note that the final salary offered will be determined based on the selected candidate's skills, and experience, as well as the internal salary structure at Quanata. Our aim is to offer a competitive and equitable compensation package that reflects the candidate's expertise and contributions to our organization. Additional Details: • Benefits: We provide a wide variety of health, wellness and other benefits.These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents, a Headspace app subscription, monthly wellness allowance and a 401(k) Plan with a company match., • Work from Home Equipment: Given our virtual environment— in order to set you up for success at home, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also, our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day., • Paid Time Off: All employees accrue four weeks of PTO in their first year of employment. New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child. The twelve weeks is applicable to both birthing and non-birthing parent., • Personal and Professional Development: We're committed to investing in and helping our people grow personally and professionally. All employees receive up to $5000 each year for professional learning, continuing education and career development. All team members also receive LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp., • Location: We are a remote-first company for most positions so you may work from anywhere you like in the U.S, excluding U.S. territories. For most positions, occasional travel may be requested or encouraged but is not required. Some positions might require travel per the job description provided to the employee. Employees based in the San Francisco Bay Area or in Providence, Rhode Island may commute to one of our local offices as desired.

Job DescriptionAbout JazzX AI: Vision: Enterprises operating on institutional intelligence—governed, self-improving, and scalable beyond individual expertise. JazzX AI is defining the future of enterprise work—by building AI-native digital workers that actually get the job done.We believe enterprises don't scale expertise—they lose it. Knowledge stays trapped in individuals, judgment gets applied inconsistently, and the best talent spends time on work that should run itself. We're changing that. JazzX AI transforms messy enterprise reality into institutional intelligence: governed digital workers that capture expert judgment, make every decision explainable, and continuously improve through real-world execution. The result is faster decisions, higher-quality outcomes, and reliable execution at scale—in domains where getting it wrong isn't an option.We're starting with lending and due-diligence workflows—complex, regulated, high-stakes. From here, we're building the backbone for enterprise intelligence across industries.This is early-stage, hard, and consequential work. If you want to be part of bringing AI systems to market that actually run in production, handle real complexity, and deliver real outcomes—not demos, not chatbots—JazzX AI is the place. Headquartered in Los Altos, CA. Backed by SAIGroup.About SAIGroup :SAIGroup a private investment firm that has committed $1B to build and scale next-generation, AI-powered enterprise software companies. SAIGroup's portfolio serves 2,000+ global enterprise customers, generates nearly $800M in annual revenue, and employs 4,000+ people worldwide — providing JazzX AI with long-term capital, deep operating expertise, and access to real-world enterprise scale from day one. Learn more about JazzX AI: Website: LinkedIn: Learn more about SAIGroup: Website: About the Role We are seeking an experienced AI Engineer with deep expertise in Reinforcement Learning (RL) to join our team as a Senior Staff Architect. In this role, you will be responsible for shaping the vision, architecture, and technical execution of RL-driven AI reasoning models and systems that power next-generation enterprise AGI platform. You will lead the design, development, and optimization of cutting-edge RL solutions, from experimentation and simulation through production deployment. This includes building scalable training architectures, architecting multi-agent and hierarchical RL frameworks, and ensuring that the RL systems are resilient, efficient, explainable and safe. As a senior technical leader, you will partner with cross-functional teams—including product, core platform engineering, and research—to define architectural best practices, establish governance standards, and enable seamless integration of RL into our broader AGI platform. You will also drive innovation by exploring novel RL techniques, mentoring engineers and researchers, and ensuring the RL infrastructure can scale to support high-throughput training and real-world scenarios and enterprise use cases end to end. Ultimately, your work will be critical in bridging research and production, ensuring that the latest RL advancements translate into reliable, impactful, and enterprise-ready AI solutions. Key Responsibilities • Architecture & Design: Define and drive the end-to-end architecture for reinforcement learning–based systems, including training pipelines, simulation environments, reward shaping, and model serving., • Research & Development: Apply cutting-edge RL techniques (policy optimization, model-based RL, hierarchical RL, multi-agent RL, etc) to solve complex enterprise problems., • Scalability & Infrastructure: Design distributed training systems, leverage cloud-native infrastructure, and optimize for performance, reproducibility, and cost-efficiency., • Leadership & Mentorship: Provide technical leadership to AI engineers and researchers; mentor junior team members; review designs and code with a focus on scalability, robustness, and clarity., • Collaboration: Partner with product, data, and platform teams to align RL solutions with strategic business goals and integrate them into production systems., • Evaluation & Monitoring: Define frameworks for benchmarking, continuous evaluation, and feedback-driven improvements in deployed RL models., • 10+ years of experience in AI/ML engineering, including at least 5 years specializing in reinforcement learning research and production systems., • Demonstrated success in designing and deploying large-scale RL architectures in enterprise environments., • Deep expertise in reinforcement learning algorithms, including on-policy (PPO, A3C) and off-policy (SAC, DDPG) methods, along with hands-on work in simulation frameworks (e.g., OpenAI Gym, Isaac Gym, PettingZoo, MuJoCo)., • Practical experience with multi-agent reinforcement learning (MARL), including coordination strategies for complex environments., • Strong proficiency in Reinforcement Learning with Verifiable Rewards (RLVR) and GRPO-like policy optimization approaches, applying reinforcement learning principles both rigorously and pragmatically., • Experience with test-time compute optimization techniques, including inference-time search, chain-of-thought reasoning, and adaptive computation strategies for improving model performance during deployment., • Proven ability in large language model (LLM) training and fine-tuning, across both supervised and reinforcement learning–driven techniques., • Advanced software engineering skills in Python, C++, or Java, with deep expertise in ML frameworks such as TensorFlow, PyTorch, JAX, or Ray RLlib., • Hands-on experience with distributed training infrastructure (Kubernetes, GPU/TPU clusters, and cloud ML platforms)., • PhD in Computer Science, Machine Learning, Robotics, or related field., • Experience leading enterprise AI adoption and guiding organizational strategy for RL powered systems., • Contributions to open-source RL frameworks or publications in top-tier conferences (NeurIPS, AISTATS, ICML, ICLR, AAAI)., • Background in safety, alignment, or explainability of RL agents. We offer a competitive salary ranging from USD 207,000 to USD 290,000, along with equity options and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more. We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Why Join JazzX AI: What draws people to JazzX AI is the opportunity to build something truly foundational. We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you'll help build a platform that redefines how work happens in the AGI era. JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it's about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments. If you're motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. 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: Waabi’s autonomous-driving stack is powered by Waabi World, which delivers realistic, scalable, controllable, and efficient simulation. As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments. This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training. You will… • Design, implement, and scale state-of-the-art generative and predictive world-modeling systems: * Video generation and prediction * Latent diffusion / autoregressive / flow-matching models * multimodal foundation models for driving scenes * LLM / VLM / VLA methods for scene understanding, reasoning, and control * Generative scenario modeling and controllable simulation * Model distillation • Collaborate closely with Research Scientists to translate cutting-edge model prototypes into robust, large-scale, distributed training and inference pipelines., • Optimize model training and inference for efficiency, speed, and reliability on large-scale datasets., • Build large scale data pipelines to build high quality datasets for training, • Ensure the quality, stability, and maintainability of the world model codebase and infrastructure., • Stay on top of emerging advances in generative AI, distributed systems, and efficient model deployment in robotics. Qualifications: • Strong software engineering and implementation: You have very strong Python & PyTorch (or JAX) skills; strong software-engineering fundamentals, and extensive experience with distributed training and large-scale model deployment., • Demonstrated technical impact: You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent industry experience in model development and scaling., • Expert domain knowledge: You have built and deployed generative or predictive models of the physical world, focusing on scale, efficiency, and robustness for real-world applications., • Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects in a fast-paced environment. Bonus: • Experience with infrastructure and tooling for large-scale ML training (e.g., cloud platforms, Kubeflow, Ray)., • Experience with efficient model serving and deployment (e.g., ONNX, TensorRT).

Job Description Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for a Mechatronics Engineer 5 Job Title: Mechatronics Engineer 5 Job Type: Fulltime Job Location: SF Bay Area, CA Work Schedule: Onsite Salary- $ 140000-300000 Based on Experience Description Join our team as a mechatronics engineer to develop robotic path planning and computer vision algorithms, as well as lead in system integration and testing (both HW and SW). Collaborate with mechanical, electrical, and software engineers to design, test, and troubleshoot special application end effectors on a 6-axis robot. The ideal candidate is organized, thorough, and thrives in a dynamic, start-up-like environment. Hands-on development and prototyping are essential for success. Responsibilities • Program robotic paths/behaviors for 6-axis arms, • Integrate with ROS/ROS2, • Design a learning pipeline for computer vision algorithms, • Design, build, test, and troubleshoot robotic systems, • Integrate sensors and actuators into robotic systems and analyze and optimize robotic system performance and accuracy, • Create user interfaces for robotic systems, • Own tasks and projects, ensuring proper release and hand-off, • Apply engineering theories and methods to solve technical problems, • Conduct pilot studies and formal experiments (using Design of Experiment principles) to benchmark performance against state-of-the-art approaches using well-reasoned metrics, • Generate reports to support technical recommendations, • Work within cross-functional team and assist in the design, analysis and performance evaluation from concept to completion, • Implement process control techniques like Six Sigma and Lean Manufacturing, • Work onsite in the lab 5 days/week, • Travel occasionally, • Degree in mechatronics, robotics or related field, • 3-10 years of experience in robotics (manipulation) and computer vision, • Excellent intuition with system hardware and physics, • Background in robotics /machine (deep) learning /reinforcement learning, • Experience with C++ and Python in Linux environments, • Strong problem-solving and troubleshooting skills, • Understanding of Design of Experiment (DOE) principles, • Experience with version control (preferably Git), • Ability to work independently, • Understanding of statistical process control and analysis, • Experience in project management, • Preferred:, • Experience with Behavior Tree / MoveIt, • Experience with robotic hardware design and end effector application development., • Proficient in MCAD model creation (Siemens NX, Creo, Solidworks)., • Knowledge of C++, Python, OpenCV, TensorFlow or PyTorch, JS + React, ROS, ROS2, • Experience with web APIs or SDKs, • Embedded Linux experience working with Kernels, • Project management experience About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Jhankar Chanda (/(408) 400-2310) for more details. Company DescriptionMaxonic, Inc. is a certified minority-owned technology consulting and staffing firm founded in 2002. We provide technology consulting and staffing services to Fortune 500 companies across the country. We collaborate with clients to design, develop and implement business-driven technology solutions. We have deep domain expertise with multiple big data platforms and have strong partnerships with industry leaders in the space. The founders have over 40 years of experience helping clients and consultants succeed. Our commitment is to provide customers with an honest, personalized, face-to-face, long-term relationship and provide consultants with ethical, respectful, and stress-free care. We believe in the power of building successful careers for everyone. Specialties: Staff Augmentation Professional Services - Artificial Intelligence, Big Data Analytics, Mobile Solutions, and Cloud Solutions Outsourced Services, Administration and Support Contingent Workforce ServicesMaxonic, Inc. is a certified minority-owned technology consulting and staffing firm founded in 2002. We provide technology consulting and staffing services to Fortune 500 companies across the country. We collaborate with clients to design, develop and implement business-driven technology solutions. We have deep domain expertise with multiple big data platforms and have strong partnerships with industry leaders in the space. The founders have over 40 years of experience helping clients and consultants succeed. Our commitment is to provide customers with an honest, personalized, face-to-face, long-term relationship and provide consultants with ethical, respectful, and stress-free care. We believe in the power of building successful careers for everyone. \r\n\r\nSpecialties: \r\nStaff Augmentation \r\nProfessional Services - Artificial Intelligence, Big Data Analytics, Mobile Solutions, and Cloud Solutions\r\nOutsourced Services, Administration and Support \r\nContingent Workforce Services

Job DescriptionTITLE: Software Engineer IIRESEARCH AND DEVELOPMENT – BIOINFORMATICS AND SOFTWARE ENGINEERING We are seeking talented, curious, and self-motivated software engineers to help build the most advanced production-scale synthetic biology platform on the planet. Client X manufactures sustainable plant-derived ingredients using fermentation-based technology to help accelerate the move away from petrochemicals in our food, cosmetics and medicines. Our ingredients are used by more than 250 million consumers in over 2,000 of the worlds’ leading brands.R&D at Client X is a highly multidisciplinary effort and the Bioinformatics, Automation and Software Engineering (BASE) group is at its core driving us forward. Every aspect of our work, from modifying the DNA of microorganisms in the lab to full scale factory production, is facilitated by software and hardware automation. In addition, we collaborate daily with data scientists and computational biologists to use our wealth of data to solve problems using machine learning and other optimization techniques. Our tools integrate the activities of scientists, engineers, and industrial robots to enable the rapid optimization of genetic designs and laboratory processes to deliver high quality ingredients to our customers.Among the tools we have developed are a CAD/CAM system for genetic engineering: a compiler toolchain whose target architecture is life itself. This stack physically integrates high level genetic modules into microbial hosts. We also derive novel strains through random mutagenesis and directed evolution. Using our custom control platform, we then subject these experimental organisms to high throughput performance screening in our state-of-the-art robotic labs.Responsibilities: • Design, develop and maintain web-based application written in Python., • Collaborate with scientists to transform an understanding of their workflow into designs and implementations of appropriate data models and user interfaces., • Effectively communicate with research scientists., • Apply best practices of software development throughout your work, while staying abreast of advances in the practice.Qualifications:, • 3+ years of professional programming experience, • Strong coding skills in either Python or a similar language. Ideally deep experience in multiple languages. In addition to Python, Amyris has codebases in F#, R and PHP (phasing out, but still have some important legacy code)., • Experience with full-stack web application development, including coding skills in JavaScript, CSS and HTML. Relational database design and coding experience. We use PostgreSQL and SQL Server, though we also treat plasmids and chromosomes as datastores., • Experience developing software in a Unix environment. Dev tools are chosen at the developer’s discretion, but most of the software development and all production deployment is on Linux (Ubuntu)., • Fluent Linux command-line skills., • Interest and ability to communicate with scientists

Job Description Job Title:Voice Actors Prompt Writer Job Type:Contractor Location:Remote Job Summary: Join our customer team as a Voice Actors Prompt Writer and play a pivotal role in shaping the future of AI voice technology. In this expert-level, fully remote position, you'll craft engaging and effective prompts that guide voice actors, fueling the next generation of AI agents. This is an exciting opportunity to blend creativity, technical accuracy, and linguistic expertise in a fast-evolving field. Key Responsibilities: • Develop, write, and refine high-quality prompts tailored for voice actor interpretation within AI agent projects., • Collaborate closely with AI engineers, project managers, and voice actors to ensure clear, expressive, and purposeful scriptwriting., • Research and analyze various voice acting styles to design prompts optimized for diverse character and emotion delivery., • Iterate on prompt effectiveness based on feedback and performance metrics to hone the overall AI voice experience., • Uphold best practices for voice prompt clarity, tone, and engagement across a wide range of scenarios., • Document processes, revisions, and linguistic choices for knowledge sharing within the customer's team., • Exceptional command of written and spoken English, with an ability to craft precise and lively scripts., • Proven experience in scriptwriting for voice actors, audio production, or AI-driven applications., • Outstanding writing and editing skills with sharp attention to detail and narrative flow., • Strong verbal communication and proactive collaboration abilities in remote, cross-functional environments., • Demonstrated initiative and adaptability in fast-paced, iterative projects., • Passion for AI technologies and their applications in natural language and voice., • Background in linguistics, creative writing, journalism, or related fields., • Experience working with AI or machine learning teams in content development., • Familiarity with diverse voice acting genres or multilingual scripting.

Job Description Philo: a streaming service for TV and movie lovers 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. Data at Philo Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows and improve user journeys; and making it effortless for our users to find the perfect thing to watch. Philo serves over a billion streams to its users every year, generating a wealth of data that we leverage at all levels of the organization. Philo's data platform operates at very large scale, processing trillions of events annually in a petabyte-scale data lake and supporting thousands of data workflows and analytical queries that power decision-making across the company. Philo's Data Engineering team encompasses both data engineering and analytics engineering, and we're looking for people who are comfortable working on complex data infrastructure and modeling challenges that support critical business functions across our streaming services. You'll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service – this work spans both foundational data platform work like data warehouse architecture, metric governance, and semantic consistency across our entire data stack. In addition, you'll work with departments across the organization to understand their data needs and deliver high-performance, reliable data systems to help the entire team thrive. We are passionate about building robust, scalable data infrastructure and providing a high-quality data platform for the entire company, using both cutting-edge technologies and proven engineering practices in close collaboration with every department. To complete our work, we build on modern tools including AWS-native services, dbt, Segment, Snowflake, AWS SageMaker, Spark, Avo, BigEye and more. Some of the recent projects that data and analytics engineers at Philo have worked on include building new models for key financial data, dbt model design, data warehouse cluster upgrades and maintenance, per-query infra cost optimization, implementation of Apache Iceberg data storage, benchmarking & improving data warehouse performance, and evaluating alternative data warehouse technologies. The Role We're seeking a senior technical and foundational leader to own and drive the vision, strategy, and execution of our Data Engineering team, encompassing both the data engineering and analytics engineering functions at Philo. This is a strategic and high-impact role: you'll set the long-term direction for our entire data platform, lead and grow a team of data and analytics engineers, and roll up your sleeves to architect and build alongside them. The ideal candidate has owned both disciplines before — data infrastructure and analytics engineering — and brings strong opinions on how to structure a high-velocity, high-trust data organization. Responsibilities: • Own the vision and technical strategy for data engineering and analytics engineering at Philo, setting the direction for how data is ingested, modeled, and delivered across the organization, • Own the team's roadmap, balancing strategic long-term investments with near-term stakeholder needs, • Lead and grow the Data Engineering team, including hiring, career development, performance management, and supporting the team in generally thriving, • Lead the design and implementation of Philo's data platform architecture, including setting technical standards and best practices for data engineering and analytics engineering work, • Collaborate with cross-functional teams to understand data platform needs and translate business requirements into technical solutions, • Build and maintain stakeholder trust in data and reporting — ensuring that business teams have reliable, well-documented, and well-understood data products, • Design scalable data pipelines and infrastructure; drive technical decisions with a focus on long-term sustainability, • Implement data governance, security, and quality control processes as needed, • 10+ years of professional experience spanning data engineering and analytics engineering, ideally with a few years working on high-volume data platforms, • 4+ years of experience managing and leading data teams, with demonstrated experience owning both data engineering and analytics engineering functions at a prior organization, • Deep expertise in modern data stack technologies, particularly AWS data services, Snowflake, dbt, Airflow, Airbyte, Python, and SQL, • Deep expertise in analytics engineering, including dbt model design, dimensional modeling, and delivering trusted, business-facing data products, • Strong people management skills with experience providing coaching, performance feedback, and career development guidance to direct reports., • Track record of improving stakeholder trust in reporting and data quality across an organization, • Strong track record of designing and implementing data platforms, • Experience in media/streaming industry with understanding of video delivery analytics and metrics, • Demonstrated experience driving organizational alignment around data definitions, metrics, and a single source of truth, • Experience with data governance and compliance requirements 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 streaming live and on-demand, 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 City and Cambridge, MA. Our leadership team includes alums from HBO, Tubi, and Meraki, and is backed by NEA and industry partners like Warner Brothers 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, Brooklyn, NY, Cambridge, MA, or remote within the U.S. Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location: • San Francisco, New York City: $240K - $275K, • Boston, DC Metro, Los Angeles, Seattle: $225K - $260K, • Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $215K - $250K, • 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 Work includes: • Applied research in AI, • Transforming applied research into solutions, • Scaling AI solutions to large end-user population, • Development across a wide range of software engineering disciplines, • Development of graphical AI modeling languages and IDE's, • Work with speech and natural language recognition technologies, • Communication with customers and experts in a range of disciplines, • Development of innovative AI and software solutions to direct and support company vision., • Occasional travel based on role and project, • Serious Game / Training Simulation development, • Apply AI engineering best practices to develop solutions for the DoD, • Create AI behavior models for deployment in a variety of domains, • Employ cutting edge AI research to create realistic characters and entities to enhance training experiences, • Develop and enhance speech recognition and natural language technologies, • Develop and enhance a graphical behavior and device modeling technology, • Work with Subject Matter Experts to capture knowledge about a variety of training domains, • Analyze user needs and develop software solutions, • Collaborate with a small team of talented engineers to design and optimize code, • Create design documents for complex software systems, • Create new software designs and system architectures, • Lead software design efforts of other engineers, • Participate in code, model reviews, and test to ensure quality products and services for our customers, • Brainstorm and contribute ideas to overcome barriers to innovation, • Mentor younger team members on Discovery Machine best practices and culture, • Collaborate with others; being team-oriented and proactively engaging to meet shared objectives, • Must be a U.S. Citizen; Work Visa is not eligible, • Wide range of experience considered, • Strong analytical and critical thinking skills, • Must enjoy learning, • Bachelor’s degree in Computer Science or a related field, • Background in AI is a plus, • User Interface Design experience is a plus, • Previous experience in software development, computer engineering, or other related fields, • Knowledge of Java, C#, Python, or other programming languages, • Innovative products & services, • Competitive salary, • Full benefits partially subsidized by company, • Company matched simple retirement account (SRA), • Generous paid time off (holidays, vacation, and sick time), • Short-term and long-term disability insurance provided, • Merit raises and performance bonuses available, • Small company environment, • Snack bar, • Casual dress code Made of a small, tight-knit team of talented engineers, Discovery Machine develops and deploys a set of software solutions that push the boundaries of AI technology. From advanced research into completely novel AI technologies, to the utilization of cutting-edge natural language processing applications, work at Discovery Machine constantly exposes our employees to new and interesting engineering challenges.At Discovery Machine® Inc., we are revolutionizing the future of technology with our pioneering Artificial Intelligence (AI) solutions. We are scaling cutting edge AI solutions throughout the Department of Defense (DoD). If you are passionate about technology; if you love finding ground-breaking solutions to complex, cutting-edge technical problems; if you are determined to work at a small company, with a team of mentors and colleagues dedicated to helping you grow; then look no further, we want you to apply!\r\n\r\nMade of a small, tight-knit team of talented engineers, Discovery Machine develops and deploys a set of software solutions that push the boundaries of AI technology. From advanced research into completely novel AI technologies, to the utilization of cutting-edge natural language processing applications, work at Discovery Machine constantly exposes our employees to new and interesting engineering challenges.

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 builds the foundation that powers applied AI across Quizlet: personalization and recommendations, retrieval and ranking, AI Coach, generative content, and emerging agentic experiences. We own the systems that make model development fast, reliable, observable, and safe, from data and features through training, evaluation, deployment, and inference. This team is pragmatic about build versus buy. We aggressively use the right mix of managed Google Cloud services, best-in-class vendor tooling, open-source infrastructure, and internal platform abstractions when that gives Quizlet the best combination of speed, reliability, and leverage. About the Role: As a Senior Staff Engineer on the AI Platform team, you will define the technical direction for Quizlet’s next generation of ML and LLM infrastructure. This is a deeply hands-on, org-level individual contributor role. You will architect critical platform systems, drive build-versus-buy decisions, partner with leaders across Applied AI, Data Science, Product Engineering, and Infrastructure, and raise the bar for how models and LLM-powered systems are trained, evaluated, shipped, served, and governed across the company. This role is ideal for an engineer who can operate at senior-staff scope in a large company, but wants the speed, ownership, and breadth of impact that come with a smaller, cloud-native environment. At Quizlet, the role spans the real stack rather than a narrow subsystem: Google Cloud, Kubernetes and GKE, distributed training, MLflow-centered workflows, data and feature foundations, online and asynchronous inference, and the evaluation and observability needed to run predictive ML and LLM systems safely at scale. 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 this work environment enhances efficiency, fosters collaboration, and supports growth for both employees and the organization. In this role, you will: • Set the multi-year architecture and technical roadmap for Quizlet’s AI platform across data, features, model development, evaluation, deployment, and serving, • Standardize MLflow-based workflows for experiment tracking, model packaging, artifact lineage, model registry, promotion, rollback, and inference deployment patterns, • Build and evolve the training foundation for both batch and distributed workloads on Google Cloud, with strong reproducibility, dataset versioning, and clear contracts between code, data, and models, • Design and scale reliable model-serving infrastructure for both classic ML and GenAI workloads, including low-latency APIs, asynchronous inference, GPU-backed services, autoscaling, canary and shadow rollout patterns, rollback safety, and cost-performance optimization, • Define Quizlet’s LLM platform patterns, including model gateways, prompt and version management, caching, batching, traffic routing, retrieval-augmented generation, evaluation harnesses, and safety guardrails, • Drive training-serving consistency and strong online-offline contracts across data pipelines, feature definitions, model packaging, and serving interfaces, • Improve platform reliability and observability with clear SLOs for critical pipelines and model services, plus strong visibility into latency, freshness, availability, drift, and cost., • Guide build-versus-buy decisions across Google Cloud services, vendor tooling, open-source components, and internal platform abstractions, • Partner closely with Applied AI, Data Science, Product, Security, and Infrastructure teams to turn platform investments into faster iteration, safer launches, and measurable learner and business impact, • Mentor senior engineers and act as a technical force multiplier across the organization What Success Looks Like in 12 Months: • AI teams move materially faster from idea to experiment to production, • A consistent MLflow-centered lifecycle exists for training, lineage, registry, promotion, rollback, and auditability, • Quizlet has a durable foundation for both predictive ML and LLM serving, with stronger latency, safety, reliability, and cost controls, • Platform adoption grows because the developer experience is simpler, more reliable, and clearly better than ad hoc solutions, • The company has a clear technical north star for AI platform investments across data, training, inference, evaluation, and governanceWhat you bring to the table:, • 10+ years of experience building large-scale ML, data, or inference platforms in production environments, • Proven track record operating as a staff or senior-staff IC, setting technical direction across multiple teams or an entire engineering organization, • Deep expertise in distributed systems and cloud infrastructure, preferably on Google Cloud, including containerized workloads on Kubernetes and GKE, • Strong familiarity with MLflow for model training and inference workflows, including experiment tracking, reproducibility, model registry, packaging, promotion, and deployment patterns, • Experience building platforms for model training, feature management, dataset lineage, online and batch inference, and model observability, • Hands-on experience with LLM and GenAI infrastructure, such as model serving, retrieval-augmented generation, vector retrieval, evaluation frameworks, prompt and version management, and safety or quality guardrails, • Strong engineering skills in Python plus one or more backend or systems languages such as Go, Java, or Scala, • Strong judgment in system design, reliability, security, privacy, and cost-performance tradeoffs, • Exceptional communication and stakeholder leadership skills, with a record of mentoring senior engineers and driving alignment in ambiguous environmentsBonus points if you have:, • Experience with Ray, Vertex AI, BigQuery, Pub/Sub, Spark, Flink, dbt, feature stores, Triton, vLLM, or similar platform technologies, • Experience supporting ranking, retrieval, search, recommendation, personalization, or other consumer-facing ML systems, • Experience building evaluation and observability tooling for both predictive models and LLM-based systems, • Experience in EdTech, consumer learning products, or domains where trust, quality, and safety matter deeplyCompensation, 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 $245,000 - $320,000, 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-onsite 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 DescriptionJob Title: Machine Learning Engineer, Training Infrastructure Position Type: Full time Location: San Francisco, CA, USA Salary Range: $150,000 - $250, 000 (USD) Job ID#: 158135 Job Description: We are looking for an ML Engineer with 3+ YOE in high-performance computing systems to manage and optimize our computational infrastructure for training and deploying our machine learning models. The ideal candidate has diverse experience managing ML workloads at scale, supporting our 3DVAE and video diffusion models. We encourage you to apply even if you don't meet every requirement — we value curiosity, creativity, and the drive to solve hard problems. Responsibilities * Design, implement, and maintain scalable computing solutions for training and deploying ML models, ensuring infrastructure can handle large video datasets. * Manage and optimize the performance of our computing clusters or cloud instances, such as AWS or Google Cloud, to support distributed training. * Ensure that our infrastructure can handle the resource-intensive tasks associated with training large generative models. * Monitor system performance and implement improvements to maximize efficiency and utilization, using tools like Airflow for orchestration. * Collaborate across research teams to understand their computational needs and provide appropriate solutions, facilitating seamless model deployment. Requirements: * Bachelor’s degree in Computer Science, Information Technology, or a related field, with a focus on system administration. * Experience with cloud computing platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, essential for managing large-scale ML workloads. * This role is vital for ensuring the computational backbone supports the company’s ML efforts, focusing on deployment and scalability. * Values engineering processes and version control (CI/CD). * Knowledge of containerization technologies like Docker and Kubernetes required for deployments at scale. * Understanding of distributed training techniques and how to scale models across multi-node clusters aligning with video generation needs. * Strong problem-solving and communication skills, given the need to collaborate with diverse teams. About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at . Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility. Powered by JazzHR PCOFjlVbHN

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. 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: As a Software Engineer in High-Performance Onboard Algorithms, you will be a key contributor to the development and optimization of our real-time signal processing pipeline for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and others) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation. You will… • Be part of a multidisciplinary team of Engineers and Scientists working on building a best-in-class, high-performance sensor processing stack., • Design, implement, and optimize highly efficient algorithms for sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware., • Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming., • Fundamentals of computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking)., • Data-parallel algorithms. You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing modern neural networks., • Heterogeneous computing and systems programming. You are comfortable with balancing workloads across multiple different processors, managing the ownership and movement of data buffers, and optimizing for overall system performance., • Performance profiling and optimization. You know how to identify bottlenecks in a complex codebase and make optimization decisions that have lasting impact., • Experience with accelerated computing like CUDA, Vulkan, and OpenCL., • Experience with domain specific languages such as Halide, Taichi, Mojo, or Warp., • Experience with CPU intrinsics (SSE/AVX, NEON/SVE)., • Experience with embedded systems., • Shipped production software in one or more of the following areas: image and video processing, compression, streaming algorithms, deep learning, geometry processing.

Job DescriptionJoin the Future of Robotic Biomanufacturing! Multiply Labs is a robotics company on a mission to solve a significant bottleneck in modern medicine: the manufacturing of life-saving advanced biologics, from gene and cell therapies to antibodies and more. Today, these therapies are produced through manual, labor-intensive processes. Costs are extremely high—often $500K–$2M per patient—limiting access to only a small fraction of those who need them. As product complexity increases and the cost of failure and scientific labor rises, the industry is shifting toward automation. Robotics and AI are making automated biologics manufacturing feasible, reliable, and economically scalable. We believe the future of biomanufacturing is robotic—closed, automated, and scalable—ensuring critical therapeutics are accessible to every patient who needs them. Why This Matters We don’t just build robots; we build the infrastructure for the next generation of biologics manufacturing. Our technology allows biopharma companies to scale production without redesigning their science, drastically lowering regulatory hurdles and bringing costs down to a level where these treatments can actually reach patients. The Stack & The Scale The Mission: Build the world’s best robots to make life-saving therapies accessible to all.The Technology: Advanced robotic orchestration, high-precision automation, cloud-integrated hardware-software systems, dextrous manipulation, and imitation learning.The Location: Headquartered in San Francisco, CA.The Backing: Supported by premier investors, including Casdin Capital, Lux Capital, and Y Combinator. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. About the Role As a senior member of our Robotics Software Engineering Team, you will be a key technical leader responsible for the intelligent software that powers our automated manufacturing systems. Working at the intersection of robotics and biopharma, you'll collaborate with a world-class team to solve complex challenges. This role is for a passionate, hands-on engineer dedicated to building robust systems that have a direct impact on patient lives.Responsibilities include: • System Design & Architecture: Designing and implementing production-ready software for our robotic platforms, spanning from low-level hardware communication to high-level robotic logic and system behaviors., • Core Algorithm Development: Implementing and optimizing sophisticated algorithms for trajectory planning, robotic interaction, motion control, and integrating data from various sensors., • Simulation & Testing: Building and maintaining high-fidelity simulations for validation and contributing to our automated test suites (CI/CD) to ensure software robustness., • Cross-Functional Collaboration: Working closely with mechanical and system software teams to integrate and troubleshoot complex, system-level robotics challenges., • Mentorship & Best Practices: Mentoring other engineers and championing software best practices to elevate the entire team.Qualifications, • Bachelor’s or Master’s degree in Computer Science, Robotics, Engineering, or a related discipline., • 5+ years of professional experience developing software for robotic or complex electromechanical systems., • Expertise in Python and a strong command of software engineering fundamentals (e.g., version control with Git, automated testing, CI/CD)., • Deep understanding of robotics principles, including kinematics, dynamics, motion planning, and control theory., • Experience leading cross-functional projects and a demonstrated ability to deliver on technical roadmaps., • Excellent communication, collaboration, and problem-solving skills, with comfort in a fast-paced startup environment.Nice to Haves, • Hands-on experience with robotics simulation environments (e.g., Isaac Sim, Gazebo, PyBullet)., • Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and their application to robotics (e.g., computer vision, imitation learning)., • Experience working in a regulated industry (e.g., GxP, ISO standards).Total Rewards & Life at Multiply Labs, • Competitive Compensation: Salary range of $160,000 - $250,000 a year plus meaningful early-stage equity. We want our team to have a real stake in the future we’re building., • Premium Health: Premium Medical, Dental, and Vision plans with subsidies for child dependents., • Wealth Building: 401(k) with a 4% company match to help you plan for the long term., • Pre-Tax Commuter Benefit: Pay for eligible transit and parking with pre-tax dollars to save on commuting costs., • Parental Support: Robust Paid Parental Leave to support your family’s newest additions., • True Flexibility: We offer Flexible PTO and 12 Paid Holidays, trusting you to manage your time and recharge when you need it., • No Set Hours: Set your own schedule in alignment with your manager and team. We hold a high bar, measuring success by impact and outcomes – not hours logged., • Office Perks: A vibrant SF office culture featuring catered team lunches, stocked kitchen, and frequent team events., • H-1B and Green Card sponsorship available for exceptional talent., • Referral bonuses for helping us build a world-class team., • Great people, meaningful work, and a team that genuinely believes in what we're building. Come build the world’s best robots—and help make life-saving therapies accessible to all.Multiply Labs is an early-stage startup where equity is a major part of the compensation package. Our job titles may span multiple career levels. Actual base pay is determined by several factors including: education, training, transferable skills, work experience, business needs, and location. We actively seek candidates with diverse perspectives and lived experiences. We’re committed to building a team where everyone feels valued, respected, and empowered to do their best work. Multiply Labs encourages candidates from all backgrounds to apply — even if you don’t meet every qualification. If you’re excited about our mission and think you can contribute, we’d love to hear from you. Our headquarters is located in San Francisco’s vibrant Dogpatch neighborhood. Some roles may require 5-10% of domestic and international travel.

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 Engineer to help build and productionize the models and systems that power Collate’s products. You’ll work at the intersection of machine learning, software engineering, and product — turning cutting-edge research into reliable, user-facing capabilities. This is an opportunity to shape how advanced AI is applied in Life sciences — a space where performance, safety, and trust matter as much as innovation. As one of the first AI-focused engineers at Collate, you’ll define the standards for how we evaluate, and deploy models that directly impact drug and medical device development.What You’ll Do • Prompt optimization, red-teaming, and improving robustness of LLMs for life-science NLP applications within Collate’s products., • Build pipelines and infrastructure to deploy AI systems reliably, safely, and at scale., • Collaborate with product, design, and engineering teams to translate user needs into AI-driven features., • Develop evaluation frameworks to ensure models are accurate, fair, and trustworthy in real-world life science settings., • Experiment rapidly, while balancing iteration speed with the rigor required for high-stakes applications., • Create tools and workflows that make AI development more efficient across the team.What We’re Looking For, • Hands-on experience building and deploying ML/AI systems in production., • Strong foundation in deploying search and retrieval systems and NLP applications., • Ability to bridge research and engineering — from prototyping models to shipping them in user-facing products., • Comfort working in an early-stage startup where ambiguity is high and ownership is expected.

We represent fantastic Vendors! We have awesome Customers! Keeping them connected with the right sales professional is where the magic happens! To start – this is an opportunity to own your own business while having the support and collaboration of a team. Although you don’t have to buy anything to get started, it is an investment of time and a learning curve to develop it to be the rewarding career it can be. Our industry is 100% commission driven. The upside that the rock stars in the business are driven by is their independence, control of their time and financial future. The downside is the initial building process to earn relationships with buyers. Sales Producers, Inc. is a progressive business-to-business sales organization established in 1983. We exclusively represent well-known brands in the Gift and Home Accessory industry with a wide variety of product categories. Our 25 + Independent Retail Consultants cover the 13 Western States and enjoy the benefits of selling to an almost unlimited array of retail stores – if there’s a store front and a cash register, it’s likely to be a sales opportunity for one or more of our lines. Our industry is similar to the Real Estate industry in that the relationships we earn are our biggest asset. The longer you’re in the industry calling on and adding value to your customers, the more successful you become. You set your own schedule, create your own business plan, put it in action as you see fit, earn commission for what you generate, and build your own business. We support that initiative by providing the following: • Well established and highly desirable brands to sell to your retail accounts., • Powerful marketing machine to back up your efforts., • Monthly commission rebate incentive, • Permanent Las Vegas and Los Angeles showroom presence that attracts and rolls out the red carpet for your buyers., • Administrative team to accurately and promptly process and direct deposit your commission every two weeks., • Team of people to teach, guide, share, and be the wind at your back to fuel your success. Position Description: Although we offer an advance, this is a commission-based position. Income is based on an individual’s skill, drive, & tenure & our team ranges from 35K-100K Being an Independent Retail Consultant is like running your own business or owning a franchise without the upfront costs and headaches. Let your inner Entrepreneur come out! • Set your schedule to work around your family or other personal priorities., • Sell, service, and add value to our existing accounts., • Prospect and open new accounts., • Meet agreed upon vendor sales goals., • Be a consistent and reliable partner to your buyers and vendors., • As an expert consultant, advise about product information, suggest merchandising ideas, take charge to inventory to advise for reorders, make ordering recommendations, and share product images for marketing and social media needs., • Set follow up appointments to establish a regular route so buyers can count on you., • While the product is important, our industry is relationship driven at its core. YOU are the most important asset in the equation., • Our Sales Associates benefit from our powerful Marketing outreach effort, Social Media presence, supportive peer to peer culture, prompt commission payments direct deposited bimonthly, and our Company’s track record of long-term relationships with our vendors and team members. Since 1983, we have worked diligently to earn the trust, loyalty, and confidence of our partners and proudly tout our positive and harmonious relationships as a badge of honor. Commission based on results, selling a wide variety of products to a vast spectrum of retail stores. Experience, skills, and traits that make this position a good fit include: • Possess an entrepreneurial spirit, • Previously owned or run a small business, • Accustomed to working independently, setting your own goals, and meeting objectives, • Have a sincere interest in building relationships, • Thrive by working independently and driving your business to meet and exceed vendor goals, • Enjoy the freedom, yet have the self-discipline, to manage yourself, time, and accomplishments without supervision, • Have an innate passion for being in outside sales and are genuinely committed to add value to your buyer and vendor partners, • Naturally at ease to initiate contact and build rapport to establish new relationships and build them, • Being organized, detail oriented, and understanding the importance of planning your time and your appointment objectives ahead of time., • Comfortable juggling multiple tasks, • Flourish working on commission and enjoy the benefit of controlling your own income and time Please visit our website and/or social media to see more about our company Resume with a cover letter should be sent to