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About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands on access to an incredible vault of data and contribute large scale recommendation systems in ways you won't find anywhere else. What you'll do Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas Use data driven methods and leverage the unique properties of our data to improve candidates retrieval Work in a high impact environment with quick experimentation and product launches Keeping up with industry trends in recommendation systems What we're looking for 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) End to end hands on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) Degree in computer science, machine learning, statistics, or related field Nice to have: M.S. or Ph.D. in Machine Learning or related areas Publications at top ML conferences Expertise in scalable realtime systems that process stream data Passion for applied ML and the Pinterest product Relocation Statement This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. US based applicants only Base salary range: $129,818 - $267,272 USD Our Commitment to Inclusion Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Who We Are Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role We're looking for a Senior Hardware Systems Engineer to join our fast growing product line and team. In the day to day, you will be responsible for driving the EE aspects of the architecture and design of products based on thorough feasibility, design, and cost studies encompassing key component selection, thermals, antenna, etc. We have a tremendous amount of telemetry and access to customers that help guide our design process, and you will work directly with them to design the right product. We run a collaborative process working closely with Product Management, PD, FW, EPM, NPI, and Hardware leadership to make excellent tradeoffs and choices. Throughout this process, you'll share your expertise with other engineers. The US and Taiwan EE teams are supported by the Supply Chain team, laboratories, JDM design resources, and a growing supply base. You will work closely with these internal and external partners to achieve our objectives. This is a hybrid position requiring three days per week in our San Francisco, CA office and two days working remotely. This position requires travel up to 25% of the time and proximity to an international airport. Relocation assistance will be provided for this role. We are open to candidates residing in the U.S. who are willing and able to relocate to the Bay Area. You should apply if You want to impact the industries that run our world: Your efforts will result in real world impact - helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high calibre team that will encourage you to do your best. In this role, you will Ship successful products at scale (high volume). Conduct research: Stay informed of the latest silicon possibilities from all the top semiconductor companies. Be an architect: Evaluate system feature tradeoffs and create the system specifications for development with product management and cross functional engineering teams. Spearhead the development process from prototyping through field validation according to performance, cost and schedule goals. Manage: We bolster our internal development team with top JDM companies to design, validate, certify and manufacture quality products, certification labs and other external consultants. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role 5+ years of experience shipping high volume hardware programs with ODM and JDM partners. Systems design expertise such as chipset/SoC selection, power optimization, antennas/RF, batteries, sensors, PCB design, etc. Proven record navigating tradeoffs between design, manufacturability, schedule, and cost. Worked on a wide variety of systems for different use cases including automotive, indoor and outdoor industrial areas leveraging low power, wireless (LTE, BLE, WiFi, GPS), embedded AI/ML, imaging, sensors, etc. Proven record of system bring up/debug including desense, validation, power, etc. BS or MS degree in Electrical Engineering or related technical field. Ability to travel up to 25% when necessary. Strong ability to collaborate with cross functional teams and drive independent work. Excellent written and verbal communication skills in English. An ideal candidate also has Experience with certifications and testing involved with industrial and automotive settings (ISO16750, AECQ100, etc). Schematic and layout experience in Altium and Cadence Allegro. Systems design expertise with cameras, extreme environmental conditions. Experience with design for supply, design for reliability / testing, design for manufacture. Samsara's Compensation Philosophy Samsara's compensation program is designed to deliver Total Direct Compensation (based on role, level, and geography) that is at or above market. We do this through our base salary + bonus/variable + restricted stock unit awards (RSUs) for eligible roles. For eligible roles, a new hire RSU award may be awarded at the time of hire, and additional RSU refresh grants may be awarded annually. We pay for performance, and top performers in eligible roles may receive above market equity refresh awards which allow employees to achieve higher market. The range of annual base salary for full time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job related knowledge, skills, and experience. $165,750-$224,500 USD Benefits Full time employees receive a competitive total compensation package along with employee led remote and flexible working, health benefits, and much, much more. Take a look at our Benefits site to learn more. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email or click here if you require any reasonable accommodations throughout the recruiting process. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in or ' greenhouse mail.io'. For more information regarding fraudulent employment offers, please visit our blog post here. At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Overview At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and dedicated to our customers, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for working with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Impact You Will Have Work with a team to build features and improve architecture for the Databricks platform Develop and extend the Databricks product Own full software development lifecycle: design, development, testing, and operating in production Build solutions with a high level of reliability, scalability, and security. What We Look For You will graduate between fall 2025 and summer 2026 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have knowledge of algorithms, data structures, and OOP principles You have experience managing end-to-end projects We are hiring Software Engineer - New Grads across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Senior Machine Learning Engineer - Systems EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. EvenUp is one of the fastest growing vertical SaaS companies in history and is backed by top VCs including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Base pay range: $176,000 - $265,000 per year. Core Responsibilities Design and implement end to end ML systems for retrieval augmented generation (RAG), vector search, and fine tuning pipelines. Build and optimize data pipelines that integrate structured, unstructured, and embeddings based data into ML workflows. Develop frameworks and reusable components for data extraction, evaluation, and benchmarking of LLMs and other models. Collaborate with data scientists and product teams to translate business problems into ML system designs. Research, prototype, and productionize state of the art techniques in semantic search, embeddings, and prompt engineering. Implement evaluation strategies for ML systems, including relevance metrics, quality scores, and human in the loop workflows. Ensure scalability and efficiency of ML workflows, including large scale embedding generation and retrieval pipelines. Work with machine learning platform engineers to integrate ML frameworks into production environments. Document system architectures and create internal best practices for building ML/AI frameworks. Optional Skills Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch). Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines). Strong software engineering skills (Python, distributed computing, APIs). Strong knowledge of transformer models (LLMs, embeddings, fine tuning methods like LoRA, PEFT). Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding). Notice to Candidates EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We only post open roles on our career page () or reputable job boards. All official EvenUp recruitment emails will come from the no , or no . We do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to talent ops . Examples of fraudulent domains include "careers " and "careers ". Benefits & Perks Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short term and long term disability 10 US observed holidays and Canadian statutory holidays by province A home office stipend 401(k) for US based employees and RRSP for Canada based employees Paid parental leave A local in person meet up program Hubs in San Francisco and Toronto Equal Opportunity Statement EvenUp is an equal opportunity employer. We are committed to diversity and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Position Details Seniority level: Mid Senior level Employment type: Full time Job function: Engineering and Information Technology Industries: Technology, Information and Internet

About HeyGen At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at . Visit our Mission and Culture doc here. Position Summary As a Software Engineer, Dev Productivity, you'll work at the intersection of software development, automation, and infrastructure. Your mission is to streamline engineering workflows, optimize CI/CD systems, build and testing infrastructure, and enhance developer tooling to accelerate software delivery. Key Responsibilities Design, build, and maintain high-performance CI/CD pipelines to improve development speed and reliability. Develop internal tools and automation to reduce friction in engineering workflows. Optimize build and test infrastructure for faster feedback loops. Work closely with engineering teams to identify and eliminate inefficiencies in the development process. Enhance and monitor developer environments to improve developer experience. Advocate for best practices in software development, version control, and release management. Drive the adoption of automation and tooling that increase engineering efficiency. Key Qualifications Strong experience with CI/CD tools like GitHub Actions, Jenkins, GitLab CI, Buildkite, or CircleCI. Experience with build systems (e.g., Bazel, CMake, Make, Gradle). Experience with Python dependency management (e.g., poetry, uv). Knowledge of containerization and Kubernetes for scalable builds and testing. Strong problem-solving skills and a passion for improving developer experience. Proficiency in scripting and automation with Python, Bash, or Go. Excellent communication skills and ability to work across teams. Preferred Qualifications Experience with docker image build optimization. Experience with Bazel. Experience with GPUs. What HeyGen Offers Competitive salary and benefits package. Dynamic and inclusive work environment. Opportunities for professional growth and advancement. Collaborative culture that values innovation and creativity. Access to the latest technologies and tools. Salary Range $180,000 - 240,000 annually Please note that the salary information is a general guideline only. HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer. As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources. HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Company: One of our consumer AI investments is hiring an ML Infrastructure Engineer. The founding team helped build iconic consumer products at Pinterest, Lyft, Whatnot, Grubhub, and others. We led the Seed round, and the company is finalizing a Series A with another tier-1 VC. Team size: 20+ (and growing) The opportunity: You'll be an early ML Infra hire helping scale training and inference systems that directly power a consumer product. This is a hands-on role with real ownership: reliability, performance, cost, and developer velocity. What you'll do: Build and operate large-scale ML infrastructure for training and inference (GPU compute, orchestration, model serving) Own core systems for data and feature pipelines, model artifacts, experiment tracking, and evaluation Improve observability and reliability across ML and production systems (monitoring, debugging, incident response, SLAs) Drive efficiency across the stack (latency, throughput, cost, capacity planning) Partner closely with researchers/ML engineers/product engineers to unblock shipping Role (key traits): 3+ years building large-scale distributed systems infrastructure; 2+ years building modern ML systems in industry: ML training and inference systems, large-scale distributed infrastructure, GPU-backed compute, Kubernetes and cloud infrastructure, production reliability, Python + a systems language, PyTorch or TensorFlow BSCS or equivalent (MSCS preferred) Strong coding and systems fundamentals (production-grade engineering, not just prototypes) Good fit for this role if you have: Owned production ML training and/or serving infrastructure end-to-end (not just model development) Experience with distributed compute and data systems (scheduler/orchestration, storage, streaming/batch, reliability) Comfort operating systems in production: on-call mindset, instrumentation, performance tuning, cost discipline Built internal platforms that improved ML developer velocity (reusable pipelines, tooling, paved roads) Enjoyed ambiguity while moving quickly with a small team, and you like building "the system" as much as "the model" Not a good fit for this role if you're primarily: Focused on research or model architecture work and don't want to own production systems Looking for a role with minimal on-call/ops responsibilities or limited accountability for reliability Experienced only with notebooks/prototypes and not with production-grade infra and debugging Targeting more specialized scope rather than broad ownership across the ML stack About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Figma, Rubrik, Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, among others. More can be found about us here: And, as full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Please note: We are not recruiting for any roles within Greylock at this time only for openings within our portfolio.

Base pay range $140,000.00/yr - $240,000.00/yr Until is a moonshot company building a "pause button" for biology. Our near term focus is organ scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About The Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high leverage ML systems that help develop new cryoprotectant formulations, engineer biologically inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end to end, including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. About You Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology) Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus. Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and Bayesian optimization. Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role. Demonstrated ability to write modular, maintainable, and performant code in Python. Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly. Proficient with developer tooling, including Linux command line, Git, and shell scripting. Ability to think from first principles and tackle complex, cross disciplinary problems with other scientists and engineers. Preferred Qualifications 3+ years of relevant professional or research experience, or a PhD in a computational field. Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency. Experience with cloud infrastructure (AWS, GCP) and SQL databases. Benefits Opportunity for outsized impact creating the future as an early team member. Generous medical, dental and vision insurance coverage. Flexible time off and paid holidays. Competitive compensation package, including salary and equity. 401(k) retirement savings plan. FSA and commuter benefits. Subsidized lunch daily. As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. 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. While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate.

Economic Mobility Center Dallas, Texas (Hybrid, with regional and national engagement) About the Economic Mobility Center The Economic Mobility Center (EMC) is a mission driven non profit that was formed by the Commit Partnership and Dallas College that is committed to transforming regional systems to ensure more young people - particularly those historically underserved - navigate successful journeys from middle school through post secondary education into sustainable wage careers. EMC is the umbrella non profit where both the Dallas County Promise and Economic Mobility Systems (EMS) operate. We serve as a workforce intermediary inside Dallas County, aligning K 12, higher education, employers, and community partners to close equity gaps and accelerate economic mobility while running the Dallas County Promise. Outside Dallas County we serve to support other intermediaries and partners in developing and executing their regional talent systems that support student success. Position Summary The Chief Strategy and Product Officer (CSPO) will serve as a key executive leader, reporting to the CEO, responsible for driving the Center's overall product vision, technology roadmap, data strategy, and analytics initiatives. This role is pivotal in positioning the Economic Mobility Center as a premier regional workforce intermediary, developing tools and strategies that enable Dallas and other communities to own the full student journey from middle school to meaningful employment. As a critical partner to the CEO and Board-and in close collaboration with the COO and Chief Program Officer-the CSPO will lead the integration of technology and data into the Center's strategic initiatives, ensuring we meet the evolving needs of students, families, educators, and workforce partners. Key Responsibilities Lead the strategic development and execution of the Center's product, technology, data, and analytics agenda, aligned to our mission of improving student to career outcomes. Oversee cross functional teams encompassing product management, technology development, analytics, and data systems. Serve as a key member of the executive leadership team, contributing to organizational strategy, partnerships, and funding growth. Product & Technology Leadership Shape the long term product strategy including our Salesforce centered architecture and the evolution of a student & family experience app that supports the full educational and career lifecycle. Ensure product design is informed by user research and co creation with students, families, educators, and employers. Oversee development, maintenance, and scaling of technology platforms that connect disparate systems into a seamless ecosystem of support. Regional Data Strategy & Hub Leadership Lead the design, development, and governance of a regional data hub, integrating data across K 12, higher education, workforce, and employer systems. Drive data sharing agreements and technical infrastructure that enable secure, interoperable, real time and longitudinal data flows. Ensure data architecture supports sophisticated analytics, predictive models, and dashboards that provide actionable insights to students, families, counselors, and administrators. Analytics & Insight Generation Build an advanced analytics strategy that empowers regional partners to understand and respond to student needs across the middle school to career continuum. Develop tools and dashboards that give students, staff, and leaders historical and real time visibility into progress and interventions. External Partnerships & Systems Engagement Serve as a credible and strategic thought partner to CTOs and CIOs of school districts, higher education institutions, and workforce organizations, translating complex technical concepts into aligned regional action. Represent the Economic Mobility Center in local, state, and national convenings on data interoperability, student success technology, and workforce innovation. Ideal Candidate Profile 10+ years in education technology or data systems leadership, ideally with Chief Product Officer or equivalent experience in an ed tech, workforce, or public sector innovation environment. Demonstrated success owning the full product lifecycle-from discovery and user research through development, launch, and continuous iteration-grounded in clear product vision and measurable outcomes. Deep technical fluency in data integration, regional data hubs, and system interoperability, especially across K 12, postsecondary, and workforce datasets. Experience leading engineering teams or overseeing large software system builds. Familiarity with API management, cloud infrastructure, cybersecurity best practices, or agile/DevOps environments. Track record of building and scaling products on platforms like Salesforce, and designing compelling digital experiences for diverse user groups (students, families, educators). Significant experience collaborating with public systems leaders (school district CIOs/CTOs, higher education data leaders, workforce board data/tech leaders). Master's degree in relevant field. Visionary product strategist with a user centered mindset and expertise in building products that drive equitable outcomes. Strong technical communication skills - able to connect technical architectures to on the ground needs, and build trust with engineers and policy executives alike. Proficiency in advanced analytics concepts, including predictive models and data visualization. A collaborative, humble leader who thrives in cross sector environments and is deeply committed to improving economic mobility. Why Join Us? This is an opportunity to help redefine how communities support young people from middle school all the way into meaningful, sustaining careers. As Chief Strategy and Product Officer, you'll shape the future of regional data and technology infrastructure, ensuring more students have the guidance and support they need to succeed. Benefits Competitive benefits package, including: Competitive salary (commensurate with experience) Bonus opportunity 15 days of Paid time off 14 paid holidays 403(b) retirement plan with company match. Health, dental, and vision insurance. Flexible spending accounts FSA and HSA. Hybrid work schedule based in Dallas, TX. (75247)

Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation. We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting edge research and development in real time and offline 2D and 3D algorithms. The successful candidate will be a hands on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production ready systems that power our next generation products. This role requires a deep theoretical background combined with substantial practical experience working with spatial and temporal data. You will: Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds). Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Advanced techniques for real time 3D mapping, pose estimation, and environmental modeling from multi modal sensor inputs (e.g., RGB D, LiDAR). Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full body tracking under various lighting and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high performance deep learning models for accurate detection and persistent tracking of objects and people in video streams. Video Processing: Creating algorithms for temporal feature extraction, video based action recognition, and motion analysis. Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large scale cloud infrastructure. Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross functional teams. Publication & IP: Maintain state of the art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research. Cross Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets. You have: Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master's degree with 4+ years of equivalent professional experience in an applied research setting. 5+ years of hands on experience in algorithm development for 2D/3D computer vision and deep learning. Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance critical algorithm implementation. 2D/3D Fundamentals: In depth knowledge of classical and modern computer vision fundamentals, including multi view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real time and batch ML systems that analyze structured and unstructured signals. Hands on experience rapidly prototyping and iterating on ML systems with changing requirements. Nice to haves: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Mastery of Python for machine learning and strong proficiency in C++ for performance critical algorithm implementation. In depth knowledge of classical and modern computer vision fundamentals, including multi view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real time and batch ML systems that analyze structured and unstructured signals. Hands on experience rapidly prototyping and iterating on ML systems with changing requirements. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Base salary range for this full time position in the location of San Francisco: $218,400 - $273,000 USD

Senior Fullstack Software Engineer, Workshop Management Join to apply for the Senior Fullstack Software Engineer, Workshop Management role at Waymo Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's commercial service is up and running in multiple cities, with ambitious plans to expand dramatically in the coming years; the associated infrastructure is in an early stage and requires significant investment for Waymo to grow into a high scale, world-class service. Increasing demand for Waymo's ride-hailing service will drive evolution of our systems, providing an opportunity-rich environment to solve hard, ambiguous, high-impact, cross-functional problems. Team: Fleet Management Project: Workshop management; focused on planning and executing vehicle maintenance and uptime software. In this hybrid role, you will report to an Engineering Manager. You Will Design, develop, test, and optimize Angular applications using Typescript and modern development techniques. Build and evolve mission-critical tools and systems that allow Waymo to scale and serve new markets. Collaborate with Product, UX, and other engineers to design and develop internal user-facing products. Ship solutions to novel problems that arise in a fast-paced environment. Collaborative - work across team boundaries Cross-functional - work with PM, UX, legal, operations, or other non-engineering roles Independence / leadership - take ownership and drive efforts to completion You Have Bachelor's degree in Computer Science or equivalent practical experience. 4+ years of experience in full-stack development. Strong understanding of web development fundamentals including HTML, CSS, and modern JavaScript/TypeScript. Knowledge of common frontend web development frameworks (e.g., Angular, React, Vue). Interest in backend development. Experience with 3rd party integrations and public APIs We Prefer Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or GCP equivalent Backend experience in Java, Python, Go, C++ or similar. Working knowledge of frontend frameworks (e.g. Angular, Dart) Scalability experience Experience in the automotive industry Salary Range $170,000-$216,000 USD Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Wanna join the adventure? Loft Orbital's mission is to simplify access to space, streamlining the process to develop and deploy mission tasking to our space infrastructure. Join our team as a Technical Program Manager in our hardware org, working across our product engineering org here at Loft. In this role, you'll contribute directly by supporting our team in their planning and execution, focusing on delivering high-quality solutions on time. Help "pave the road" by developing lightweight and intuitive processes that can further drive team efficiencies. You will work closely with our TPM group across Loft to help guide how teams work effectively and efficiently together. Your ideas will help shape how we grow and operate, and this is your chance to make a real impact with a team that's redefining space operations. If you're excited about driving change and contributing to groundbreaking projects, we want you on our team! About this Role Lead cross-functional hardware teams across program and mission development, attending key meetings and activities. Monitor progress and communicate changes in priorities, schedules, risks, and dependencies. Project Planning and Scheduling Develop and manage project timelines, including milestones and deliverables, for hardware development projects. Coordinate technical requirements, resources, and scheduling across engineering, testing, and production teams to ensure smooth project flow. Cross-Functional Collaboration Facilitate communication and collaboration across engineering disciplines, including Ground systems, software teams, systems engineering, and suppliers. Act as the point of contact between engineering teams and other departments, such as product management, operations, and business development. Risk Management and Mitigation Identify technical and project risks, including those (related to signal integrity, RF interference, and space environment constraints). Develop mitigation strategies and communicate potential risks to stakeholders. Budget and Resource Management Work with finance and engineering leads to develop budgets that align with project scope and requirements. Ensure the availability of technical resources, including specialized equipment, testing tools, and team support, while staying within budget constraints. Support team leads in creating standards, best practices, and streamlined processes for feature development and delivery. Contribute to product roadmaps and engage in long-term planning. Must Haves Proven ability to manage multiple projects, prioritize tasks, and meet deadlines. 5+ years end-to-end, product development-focused engineering experience on space applications Proficient in Agile methodologies (Scrum, Kanban, Lean) and SDLC standards. Excellent written and verbal communication skills, with proficiency in data visualization. Strong interpersonal skills; capable of influencing others without formal authority. Nice to Haves Proficient with Jira Global Configuration or familiar with the Atlassian product suite (Jira, Confluence, Jira Service Management). Experience in Product Management. Previous experience working with an international team across time zones. Some of Our Awesome Benefits Equity, we want you to have an active role in our success Up to 35 days of Paid Time Off (vacations & RTT ) and flexible working hours, we want you to be at your best Health and life insurance, we care about your health Lunch Vouchers, because let's be honest, we love food! (we even have a slack channel about it ) Cross-office travel opportunities between San Francisco, Colorado, and Toulouse to learn from our differences Company and team off sites and many other events to work & celebrate together Relocation assistance to Toulouse when applicable Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and flexible way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end to end missions as a service across Earth observation, IoT connectivity, in orbit demonstrations, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years long integration and launch timelines to months. With more than 25 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. At Loft, you'll be given the autonomy and ownership to solve significant challenges, but with a close knit and supportive team at your back. We believe that diversity and community are the foundation of an open culture. We are committed to hiring the best people regardless of background and make their time at Loft the most fulfilling period of their career. We value kind, supportive and team oriented collaborators. It is also crucial for us that you are a problem solver and a great communicator. As our team is international, you will need strong English skills to better collaborate, easily communicate complex ideas and convey important messages. With 4 satellites on orbit and a wave of exciting missions launching soon, we are scaling up quickly across our offices in San Francisco, CA Golden, CO and Toulouse, France. As an international company your resume will be reviewed by people across our offices so please attach a copy in English.

Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines the performance of Rust with elegant tools that developers love to use. Leading companies depend on Chalk for a variety of use-cases including stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. About the role We are hiring experienced Frontend Software Engineers to join our team. In this role, you will be responsible for defining strong front-end architecture patterns, leading development of well abstracted reusable components, and collaborating across teams to increase developer velocity. You will excel in this role if you're an experienced engineer with deep front-end expertise who can collaborate effectively across multiple teams and functions to deliver results. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership. We work in-person Monday through Friday in our SF office. We don't currently offer remote or hybrid positions. We are looking for software engineers who are comfortable solving business problems across all layers of the software stack, with a specific focus on frontend engineering. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience. We need engineers who can build world-class user experiences across web and command-line surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems. What you will do Work directly with Chalk's co-founders to productionize our first iteration Write TypeScript (React), Python, Go Drive frontend architecture discussions and technical breakdowns. Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments Iterate rapidly to improve Chalk's platform in response to customer needs What we're looking for 2+ years experience of professional software engineering experience Working knowledge of computer science fundamentals. We're not looking for experience from drilling leet code - we need folks who are comfortable building and maintaining real applications You have a deep technical understanding of frontend technologies, patterns, and best practices. You have a firm understanding of backend systems which enable you to collaborate on problems that span the entire stack An eye for high-quality UX Track record of learning new concepts quickly Ability to work autonomously & to make pragmatic tradeoffs with an eye towards business outcomes Experience implementing data infrastructure Experience working with developer tools Experience with applied machine learning or data analytics Experience with Go ️Comprehensive medical, dental, and vision insurance Retirement savings 15 company holidays each year ️15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. ️ Staying late? Dinner is on us Compensation Range: $120K - $220K Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process. Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk's growth and us achieving our goals. The listed range above is simply a guideline, and the base range for this particular role may be modified. Chalk offers early team member equity and competitive benefits package in addition to the cash compensation. Inclusivity Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support. 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Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson's disease, multiple sclerosis (MS) Neurodivergence, for example . click apply for full job details

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. You will: Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. Build systems that systematically optimize multiple objectives under resource constraints. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. Champion code health and best practices in a large and complex code base. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area. Fluency with probability and statistics. Strong self-motivation to navigate complex systems and pursue open-ended problems to completion. 2-3 years of experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL. Performing statistical analyses. Building data processing pipelines. Writing, reviewing, and merging code following industry standards for code health and maintainability. We prefer: Experience programming in C++. Experience developing and evaluating sampling methods. Experience designing, training, evaluating, and applying ML models. Experience working in the AV industry. PhD in a quantitative field. Salary Range $170,000 - $216,000 USD

Get AI-powered advice on this job and more exclusive features. This range is provided by Prime Team Partners. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $65.00/hr - $75.00/hr Job Title: Senior Software Engineer Location: Seattle, WA , Hybrid Company: Confidential Overview: Are you a passionate Senior Software Engineer with a knack for designing and implementing scalable APIs? Do you thrive in dynamic environments where you can work both independently and as part of a collaborative team? If so, we have an exciting opportunity for you! Our client, a leading company in their industry, is seeking talented Senior Software Engineers to join their innovative team. In this role, you will be at the forefront of integrating various systems to ensure seamless operations. Your expertise in C# and Azure will be crucial in developing robust backend solutions that drive their success. Key Responsibilities: Craft and deploy scalable APIs that power system integrations. Collaborate with cross-functional teams to ensure smooth and efficient system functionality. Develop backend solutions using C# and Azure, leveraging your deep technical expertise. Engage in system design and architecture discussions to create resilient and scalable solutions. Troubleshoot and resolve integration and performance issues with precision and efficiency. Qualifications: Proven experience as a Backend Engineer with a strong command of C# and Azure. Extensive background in system design and architecture. Demonstrated success in designing and implementing scalable APIs. Ability to work autonomously and as part of a dynamic team. Exceptional problem-solving skills and meticulous attention to detail. Excellent communication skills, enabling effective collaboration with team members. Preferred Qualifications: Experience with large-scale system integrations. Familiarity with additional programming languages and technologies. Why Join Us: Be part of a forward-thinking team working on impactful projects that drive innovation. Opportunity to work with cutting-edge technologies and contribute to groundbreaking solutions. Competitive salary and comprehensive benefits package. A collaborative and inclusive work environment that values your contributions. Prime Team Partners is an equal opportunity employer. Prime Team Partners does not discriminate on the basis of race, color, religion, national origin, pregnancy status, gender, age, marital status, disability, medical condition, sexual orientation, or any other characteristics protected by applicable state or federal civil rights laws. For contract positions, hired candidates will be employed by Prime Team for the duration of the contract period and be eligible for our company benefits. Benefits include medical, dental and vision. Employees are covered at 75%. We offer a 401K after 6 months, we do not provide paid holidays or PTO, sick time is offered in accordance with local laws. Seniority level Mid-Senior level Employment type Contract Job function Industries: IT Services and IT Consulting

About Glean Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context aware responses for every employee. This foundation powers Glean's agentic capabilities - AI agents that automate real work across teams by accessing the industry's broadest range of data: enterprise and world, structured and unstructured, historical and real time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50 industries and 1,000 employees in more than 25 countries, we're helping the world's largest organizations make every employee AI fluent, and turning the superintelligent enterprise from concept into reality. If you're excited to shape how the world works, you'll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role Glean is seeking an Infrastructure Engineer to build and evolve the platform that powers a highly available, performant, secure and cost effective infrastructure across all clouds. You'll deliver complex components with elegant automation, robust uptime guarantees, autoscaling, and reliable alerting/monitoring for infrastructure that runs across multiple cloud providers. As part of the Platform team, you'll be responsible for critical pieces of Glean's infrastructure, working closely with several other teams to support their workloads. You Will Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond Provide leadership and mentor more junior engineers Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions Write robust code that's efficient, easy to read, maintain and test About You Bachelor's degree (or equivalent) in Computer Science or related field 3 years of experience in a role working with AWS and/or GCP IaaS services eg. compute, object storage, iam, networking, vpc. Experience with Terraform, K8s (GKE/EKS), Data Pipelines (Beam/Flink/Kafka/PubSub/SQS), ML Pipelines, Object Storage (S3/GCS), Big Query, etc. is a plus. Experience managing large scale cloud infrastructure with IaC. Highly proficient with modern Unix/Linux operating systems/distributions Experience defining SLOs/SLIs and implementing monitoring, alerting, and runbooks. Adaptable. Goals can change fast. You anticipate and react quickly. Autonomous. You own what you work on. You move fast and get things done. Excellent communication. You will need to communicate complex ideas effectively to both technical and non technical audiences, and both verbally and in writing. Collaborative. You must work collaboratively in a cross functional team and with people at all levels in an organization. Location This role is hybrid (3 4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Benefits We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time off policy, and the opportunity to contribute to your 401k plan to support your long term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipend to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. Diversity & Inclusion We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

Get AI-powered advice on this job and more exclusive features. This range is provided by TogetherWeTech. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $175,000.00/yr - $220,000.00/yr Direct message the job poster from TogetherWeTech Senior Fullstack Engineer - SF Bay area (Hybrid/ 2- 3 days onsite) Up to $180K - $230K + Equity TogetherWeTech is hiring a Senior Fullstack Engineer who thrives at the intersection of product, engineering, and experimentation. You'll have the opportunity to actively shape technical solutions, influence product direction, and contribute meaningfully to all aspects of our engineering culture. The company was founded by a diverse group of creative technologists from teams like Google Creative Lab, and Samsung's innovation Think Tank Team. We're redefining Enterprise AI Agents (Robotic Process Automation) and Intelligent Document Processing (IDP), developing the necessary tooling and infrastructure to incorporate the advancements of AI into practical, real-world applications. What you'll do: Collaborate with our forward deploy team to understand how customers interact with the company's platform today, and use those learnings to bolster our flagship workflow management product. Build interfaces that use cutting edge computer use models in real world applications. Develop beautiful and intuitive UX interfaces which abstract away complex business automation processes and create a seamless experience for non technical users and engineers alike. Influence our engineering practices, shape product direction, and contribute to building a world class company culture. Your toolbox: Hacker mindset - you know when to ship out functional v0 by any means necessary Experience building with modern web frameworks (Next.js, Svelte kit, React) and extensive experience working with REST APIs Robust background building complex architectures from the ground up, ranging from hacked together prototypes to scalable enterprise solutions. To be considered, one of following conditions needs to be ticked Joined a startup company early and seen scale. Previously worked or currently working at a FAANG company Serial Founder/Co founder If you are a passionate and an experienced Senior Fullstack Engineer looking to make a difference in a fast paced and innovative environment, we would love to hear from you! Seniority level Mid Senior level Employment type Full time Job function Staffing and Recruiting Inferred from the description for this job Medical insurance Vision insurance Paid paternity leave Paid maternity leave

Staff Software Engineer, AI Agentic Experience (Auth0) Get to know Okta Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. The Auth0 Team Auth0 is an easy to implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier Ø global service to deliver convenience, privacy, and security so customers can focus on innovation. The Staff Software Engineer At Okta, we're building the next generation of authentication for the GenAI era. We're looking for a Staff Software Engineer to join the AI DevEx team at Auth0, extending and complementing our Auth for GenAI offering by building the infrastructure, tooling, and developer experiences that empower both human developers and AI agents to build secure, intelligent applications. What you will be doing Design and build developer tooling that helps developers secure and manage infrastructure like MCP servers. Build demo applications that showcase secure, identity powered AI use cases in real world environments. Contribute to open source projects, both within Auth0 and across the broader AI + identity ecosystem. Write and maintain high quality documentation including API references, quickstarts, and best practices for both developers and AI native tooling (e.g., llm.txt). Drive integration with emerging AI frameworks by creating adapters, utilities, and interfaces for agent runtimes and orchestration layers. Collaborate with design, product, and security teams to align on developer needs, roadmap direction, and compliance requirements. Mentor and support other engineers, setting strong examples in code quality, testing practices, and architectural thinking. Influence engineering standards by leading design discussions and contributing to team wide architectural decisions. Ensure resilience and security of systems involved in agent to agent or model to service communication. You might be a good fit if Experience in software engineering with a proven track record in building tools, frameworks, or platforms for other developers. Proficiency in JavaScript/TypeScript, Golang and/or Python, and the ability to move fluidly between front end and back end contexts. Experience working with LLM APIs, agent runtimes, orchestration layers, or prompt pipelines. Familiarity with authentication and authorization systems, especially standards like OAuth2, OIDC, and JWT. Demonstrated experience leading architecture and design efforts for scalable, production grade systems. Comfort contributing to and maintaining open source projects and engaging with developer communities. A passion for documentation as part of the developer experience-not just writing code, but making it understandable and usable. Ability to thrive in highly collaborative environments with cross functional stakeholders. Technologies you may work with Languages: JavaScript, TypeScript, Python Frameworks: React, Next.js, FastAPI AI Ecosystem: Model APIs, orchestration runtimes, prompt management systems, agent toolkits Auth0 Stack: Token Vault, Async Authorization, Fine Grained Authorization (FGA) Compensation Annual base salary range for candidates located in the San Francisco Bay Area: $188,000-$282,000 USD. Okta also offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. Benefits Amazing benefits Making social impact Developing talent and fostering connection & community at Okta Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at

Overview Founded in 2024, DualEntry is one of the world's fastest-growing AI startups. At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years. Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We're finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990s in the past. We operate with urgency and ownership. We move fast. Why this role matters now Since starting 18 months ago, we've raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who've built, scaled, and exited some of the most impactful companies of the last decade. We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies - Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves. We're a small team, growing fast with huge momentum - join early. As our Staff Frontend Engineer, you'll build and maintain high-performance, scalable web applications that deliver seamless user experiences. You'll operate with full ownership: deploy daily and make fast decisions. This is an intense, hands-on role with full ownership. We expect you to push for excellence and raise the bar. ?Location: Remote with overlap to our New York City HQ (EST) Where you'll create impact Build, ship and own major parts of the product UI in React + Next.js Design and optimize interactive experiences that make complex workflows simple Work closely with product, design and backend to ensure seamless integration and clarity Help define our frontend system and component library as we scale Elevate the quality of the product through thoughtful details What sets you up for success Hardcore work ethic and high agency 8+ years of experience in frontend development with React (Next.js a strong plus) Strong understanding of responsive UI, accessibility and usability principles Experience building and testing APIs; comfort with HTTP, Postman, and debugging Clear product thinking, eye for polish and attention to design details Pragmatic mindset: you move forward fast Curiosity and autonomy - you dig in, learn fast and solve problems without waiting Fluent in English (C1+) with strong written and verbal communication How you operate Pragmatic: you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability we use Postgres until it breaks Hard working: 'You can work long, hard, or smart, but here you can't choose two out of three" - Jeff Bezos. We wrote this job post during the weekend Curious: you love to learn, are highly curious about new frameworks and solutions to engineering problems Fast-moving: you deploy daily, iterate quickly, and never wait for permission Why you'll thrive here Significant equity ownership in one of the top AI companies in the world You're joining early and will grow with DualEntry Your feedback shapes the product directly High-speed culture High-trust environment with high expectations Ambitious mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years Equity: $40,000 - $60,000 USD Contract type: B2B Remote-first team - the fastest team you will have ever worked with Time Off: 27 PTO days (incl. public holidays) Visa sponsorship option for relocation to NYC within 2+ years Early-stage role with high autonomy and real long-term upside Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone We hire the best, expect the best, and give you the masterclass of your career - an archaic and huge industry like ERP only goes through a restructure like this once in a lifetime. It's hard, it's intense, and it's the most rewarding work you'll ever do. If you're hungry, driven, and ready to build something massive, climb aboard!

Machine Learning Engineer role at PitchBook Get AI-powered advice on this job and more exclusive features. At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands on approach to designing, building, and optimizing ML solutions that power user facing features on the PitchBook Platform. You will be deeply involved in the end to end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy. Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources and applying ML to enrich our datasets with predictive and generative intelligence. Primary Job Responsibilities Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities. Provide hands on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high performance systems that meet production grade reliability and efficiency standards. Contribute to a culture of technical excellence by sharing knowledge, pairing with teammates, and actively participating in code and design reviews. Provide situational guidance to junior engineers and contribute to team best practices. Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams. Collaborate with engineering, product management, and data collection teams to ensure models are informed by high quality data and support strategic product goals. Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook's AI capabilities. Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects. Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge sharing practices. Apply principles from Agile, Lean, and Fast Flow methodologies to support efficient model development and deployment cycles. Support the vision and values of the company through role modeling and encouraging desired behaviors. Participate in various company initiatives and projects as requested. Skills and Qualifications Bachelor's degree in Computer Science, Mathematics, Data Science, or related technical field; advanced degrees are preferred. 2+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction. Demonstrated expertise in natural language processing (NLP) and machine learning, including hands on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch. Experience delivering production grade GenAI or LLM based systems with measurable business impact. Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus. Proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake. Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus. Practical experience with cloud native development, containerization, and orchestration technologies such as Docker and Kubernetes. Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high performance, reliable solutions. Excellent communication and collaboration skills, with experience working cross functionally with product managers, engineers, and data scientists in globally distributed teams. Experience working in fast paced, data driven environments. Prior exposure to fintech or financial data platforms is a strong advantage. Experience authoring research papers for peer reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred. Must be authorized to work in the United States without the need for visa sponsorship now or in the future. Benefits + Compensation at PitchBook Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $125,000-$180,000 Target annual bonus percentage: 10% Working Conditions Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Life At PB We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It's our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning . click apply for full job details

Base pay range $150,000.00/yr - $250,000.00/yr This range is provided by Acceler8 Talent. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Stop Losing Sleep Over ML/SW Hiring Acceler8 Talent/Understanding Recruitment Boston/London ️ About the Company A Series A Funded start-up that already has millions in recurring revenue is building next generation AI infrastructure for video intelligence and is looking for a Systems Engineer to join their team. What You'll Be Doing Design and engineer systems that handle compute, scheduling, and orchestration of complex ML+ETL pipelines Optimize hyper fast distributed systems running at the scale of thousands of GPUs Build systems that process video data quickly, reliably, and cost effectively at internet scale Develop robust internal tooling and CI/CD pipelines for rapid ML team iteration Focus on system uptime and performance optimization for mission critical infrastructure What We're Looking For 3+ years building foundational data infrastructure Experience designing and maintaining pipelines that process petabytes of data Strong background developing CI/CD pipelines for ML focused teams Excellent coding skills in Go and Python Independent contributor who leads by example What's In It For You Competitive salary up to $250k Small, high impact team with significant growth trajectory Opportunity to work with top AI video labs and collect world class datasets Apply now for immediate consideration! Seniority level Mid Senior level Employment type Full time Job function Information Technology Industries IT Services and IT Consulting