Senior Computer Engineer remote jobs

Applicant Privacy Notice Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world's assets on one open, programmable blockchain platform. We are looking for a Staff Engineer to join our Platform Engineering Group. This team is responsible for maintaining and advancing the EVM for the Avalanche blockchain and its ecosystem. WHAT YOU WILL DO Maintain and advance Avalanche's EVM-compatible chains. Design and implement paradigm-shifting extensions on top of vanilla EVMs, without breaking ecosystem compatibility. Here are some specific examples of projects you will contribute to: libevm (repo): the EVM as a library; a backwards-compatible fork of geth with injectable configuration directives to minimise merge conflicts. Streaming Asynchronous Execution (spec / talk / repo): decoupled consensus and execution, allowing for always-on, concurrent execution without forced dormancy. WHAT MAKES YOU A GOOD FIT A self-starter with insatiable curiosity, combined with being comfortable diving into someone else's code to understand how it works. You treat the code as the source of truth and are able to discern nuances from there. Meticulous attention to detail and an appreciation for clean, maintainable code. You create software as much for the end user as for the love of the craft. You feel at home in a hacker culture. You believe that creativity is not just limited to the arts. You understand the rules of the system primarily so you can bend them. WHAT YOU WILL BRING Highly proficient in Golang; the language and its primitives are second-nature to you, and you are comfortable mentoring others. Independent Solidity experience; you are comfortable deploying a smart contract to production. Deep knowledge of the life of an EVM transaction, from wallet to opcode. Demonstrable experience with geth internals are a bonus. Salary Range: $253,479 to $269,321 ( **This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location. NYC metro candidates are required to be in office 2-3x/week, with exceptions.) #LI-Remote #LI-DS1 WHY AVA LABS? If you've ever thought about joining an early stage Web3 company - this is it! We're a global, world-class team of experts in computer science, economics, finance, marketing, and law with offices in New York City and Miami. We're highly passionate about Web3 and redefining the way people build and use finance and decentralized applications of all kinds. The company received early-stage funding from Andreessen Horowitz, Initialized Capital, and Polychain Capital, with angel investments from Balaji Srinivasan and Naval Ravikant. Join us and be a pioneer in a new technology that will have implications across a range of verticals such as finance, gaming, investing, collectibles, among many others. Ava Labs is committed to diversity in the workplace and we're proud to be an Equal Opportunity Employer. We do not hire on basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.

From telescopes to software architecture, Observable Space provides the foundational elements every organization needs to operate in space. Observable Space is unlocking continuous, real-time observations of space with the industry's first line of vertically integrated hardware and software products. The company is the result of a merger between PlaneWave Instruments, the leader in advanced telescope design and manufacturing in the US, and OurSky, a company founded by SpaceX's former VP of software engineering to create a developer platform for space data applications. Observable Space's full line of products serves all sectors of the space industry including commercial, science, education, and government customers, as well as astronomy enthusiasts discovering the cosmos. Observable Space is backed by top institutional investors-Upfront Ventures, Oceans Ventures, Venrex, Marlinspike Partners, and Embedded Ventures. We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and astronomers from SpaceX, DARPA, SmartThings, and Bird. This role will report to the CTO. Key Responsibilities Evaluate, train, and customize combination models based on state of the art backbones (Unet, vision transformer, resenet, etc). Own our image processing pipelines from end to end - from camera sensor readout to publishing extractions to our cloud data warehouse. Design and generate simulated data for rapid testing of proof of concept algorithms. Coordinate with operations and engineering teams to gather real-world data for validating algorithms against synthetic test cases. Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific processes. Stay abreast of the latest advancements in SDA/SSA, Photometry, and novel image processing techniques by regularly reviewing research papers and publications. Collaborate with software development teams to conceptualize, develop, and implement proof of concept based on cutting-edge research. Effectively communicate complex research findings to both technical and non-technical stakeholders, providing clear and concise insights. Basic Qualifications Masters degree in Engineering, Mathematics, or a related field of study, or equivalent professional experience. Strong foundation in mathematics or computational mathematics. Strong and demonstrated programming ability in C++ or C in a professional environment. Experience in machine learning model training using PyTorch or TensorFlow. Experience in classical vision techniques with an emphasis on OpenCV. Demonstrated experience in first principles engineering and science. Detail-oriented with the ability to manage and execute complex, multidisciplinary research projects. Preferred Qualifications Ph.D. in Engineering, Mathematics, or a related field of study. Knowledge or experience in astrodynamics. What We Offer Competitive Compensation - A salary package aligned with industry standards and your experience. Equity Opportunities - Take part in our success with stock options. Flexible Work Environment - Enjoy working from our office or in a hybrid work setup with the flexibility to work remotely part of the week. We require a minimum of 3 days per week in our office to support collaboration and team culture. (LA Office only) Unlimited PTO - Take the time you need with our flexible, trust-based vacation policy, including paid holidays. We encourage everyone to rest, recharge, and take care of themselves. Health & Wellness - Comprehensive medical, dental, and vision coverage with 100% of the premium paid by the employer for employees. Cutting-Edge Tools - Get access to the latest hardware and software you need to do your best work. Mission-Driven Culture - Be part of a team working on meaningful challenges with real-world impact. Inclusive Team - We foster a supportive and diverse workplace where all voices are valued. Observable Space is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other basis protected by federal, state, or local law. Note: Visa Sponsorship is not available for this position. Salary Range | $130,000 - $180,000

Asana's API gives external developers the power and flexibility to extend Asana's functionality in creative ways that Asana doesn't yet provide. In turn, this rich ecosystem of apps, integrations, and scripts helps us ensure that Asana can support every customer use case out there - no matter how big or small the team, and no matter which tools or workflows they use. The API team at Asana builds the Developer Platform that makes this possible; we own the gateway that facilitates data flow in and out of Asana. We're looking for an experienced Technical Lead to help us make our Developer Platform come to life, driving execution and technical vision for the team. Your scope will range from assisting product teams in exposing new functionality via the API, to overseeing foundational changes to our API's core features and security model, to rearchitecting the underlying API frameworks for simplicity and ease-of-use, to mentoring and growing the engineers and developer advocates on the team. If you care deeply about building effective developer experiences and high-performing engineering teams, then we'd love to hear from you! This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve Set the technical strategy for the API platform within Asana and advocate for engineering-driven investments, with a vision for keeping our systems flexible and maintainable to meet customer needs now and in the future Drive the team to continually and holistically better itself, enabling the engineers around you to deliver at a high velocity while helping them grow their skills in the process Be a key collaborator with other groups in Engineering and a technical counterpart to the API team's Engineering Manager, serving as a public face for API engineering and representing our interests across team boundaries Partner with Product Management, Design, Data Science, and User Research to deeply understand developer needs, and then propose elegant solutions to meet them Own and shape the guidelines for what good API design looks like, partnering with product engineering teams to help them implement those best practices in a self-serve manner Develop across the entire stack to make developers' experiences better by writing clean, beautiful code and leaving things better than you found them: this includes writing Scala, Javascript, and Typescript About you 6+ years of experience working in large codebases 2+ years leading engineering teams 1+ years building public-facing API products or Developer Platforms Excellent communication, collaboration, and delegation skills Quick learner and comfortable transitioning between different contexts and codebases, enabling you to jump in and rapidly unblock teammates facing thorny obstacles Deep project management experience including high-level timeline planning, risk mitigation, stakeholder management, and coordinating the work of others Passionate about mentoring engineers at all skill levels; able to identify technical growth opportunities and deliver thoughtful, candid feedback Excited to be a part of an inclusive culture where everyone brings the aspects of themselves to the workplace that they need to thrive, fostering an environment of psychological safety within your team Demonstrate curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $248,000 - $316,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AS2 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About the Job You'll build and own the simulation stack that powers development and testing for legged robots, humanoids, and car‑like platforms. The work spans software‑in‑the‑loop (SIL) and hardware‑in‑the‑loop (HIL) setups, GPU‑accelerated physics and learning loops, synthetic data generation, and rigorous Monte Carlo evaluation-with clear, visual reporting. You'll also scale sim farms and data pipelines in AWS and work hands‑on in Gazebo/Ignition and NVIDIA Isaac Sim.What You'll Get To Do Own SIL/HIL simulation infrastructure Design, implement, and maintain SIL/HIL rigs, including real‑time loops, I/O, and fault‑injection. Integrate simulators into CI/CD for repeatable, automated regression testing. Develop sensor/actuator interfaces and bring‑up procedures for lab and field use. Model robot and vehicle dynamics Build and validate dynamics models for legged systems, humanoids, and car‑like platforms. Implement contact/friction models, parameter identification, and sensor/terrain effects. Create configurable scenarios, environments, and disturbances for coverage testing. Accelerate workloads on GPU Parallelize simulation, perception, and policy evaluation using CUDA and PyTorch. Profile and optimize kernels, memory movement, and mixed CPU/GPU pipelines. Scale Monte Carlo campaigns across local GPUs and AWS (e.g., EC2/EKS/Batch) for fast iteration. Generate data and close the ML loop Produce synthetic datasets with domain randomization and high‑fidelity annotations. Connect simulation output to training pipelines; track dataset versions and metrics. Manage datasets in AWS S3 and wire up distributed processing for large data volumes. Plan experiments and report results Design statistically sound Monte Carlo studies and acceptance tests. Visualize performance with plotting libraries (e.g., Bokeh/Matplotlib); publish dashboards. Summarize findings in clear engineering reports and reviews. Integrate with robotics software Build ROS/ROS 2 nodes, messages, and tooling; simulate sensors and networks. Develop and test in Gazebo/Ignition and NVIDIA Isaac Sim (plugins, sensor models, physics configs). Create reproducible dev environments (Docker, CMake) and enforce code health (linting, tests). What You Have 3+ years building robotics simulation or controls software (or equivalent research/industry experience). Strong coding in Python and C/C++, plus solid Linux, Git, CI/CD, and containerization practices. Hands‑on experience building SIL/HIL setups, including real‑time constraints and hardware I/O. Proficiency with ROS and ROS 2 development (nodes, topics, services, bags). Hands‑on with Gazebo and NVIDIA Isaac Sim (sensor plugins, physics configuration). Solid background in rigid‑body kinematics/dynamics, contact/friction, and basic state estimation. Proven GPU experience: CUDA programming and PyTorch for accelerated simulation/ML loops. AWS experience for simulation and data pipelines (e.g., EC2 GPU instances, EKS/Batch, S3, IAM). Ability to design and run Monte Carlo simulations and report results with Bokeh/Matplotlib. Synthetic data generation for ML training (domain randomization, labeling, dataset versioning). The Extras That Set You Apart Deep expertise with simulator internals and advanced features (Isaac Sim/Omniverse USD, Gazebo/Ignition plugins), plus MuJoCo or Chrono. Prior work on legged/humanoid control or car‑like dynamics (trajectory planning, MPC, tire/ground models). Sensor simulation depth (cameras, LiDAR, IMU) with realistic noise and distortion models. Distributed compute for large‑scale simulation (multi‑GPU, Ray/Kubernetes) and AWS infra‑as‑code (Terraform/CloudFormation). Safety‑critical mindset and familiarity with robotics/automotive standards Publications, patents, or significant open‑source contributions in simulation, control, or robotics tooling. Experience bringing up real robots and closing the sim‑to‑real gap through calibration and validation. Compensation and BenefitsOur salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI?We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics RevolutionTo tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionJoin a remote-first AI company with generous equity to build 3D machine perception systems in C++ that replace hardware like LiDAR. Computer Vision Engineer Benefits - Starting Salary $155K - $185K - Equity Includes generous company stock options in a Series A company with revenue - Remote First Always with flexibility to work from anywhere in the US while working on a PST schedule - Comprehensive Medical, Dental, and Vision Insurance - Discretionary PTO policy empowering employees to recharge without guilt or micromanagement. - 401(k) w/ Employer MatchComputer Vision Engineer Qualifications - Technical Core Expert in designing and writing production-quality code in C++ for embedded or real-time systems, including GPU optimization. - 3D Expertise Proven experience implementing 3D algorithms (such as VIO, SLAM, multi-view stereo, or 3D reconstruction) with tangible, deployed results. - Problem Solver Driven to analyze performance and failure modes of complex computer vision algorithms in real-world environments. - Mandatory Must be a US Citizen or Green Card Holder (US Person) to comply with ITAR project requirements.

Faire is an online wholesale marketplace built on the belief that the future is local - independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role: Our mobile apps are crucial to Faire's vision: Empowering entrepreneurs to chase their dreams. We believe in empowering retailers to run their business from their pocket through a world-class mobile app. We are passionate about stunning design, exceptional user experience, and robust engineering practices, ensuring our software is secure, tested, easy to maintain, responsive, and performant. We embrace an iterative approach, building minimum viable products, deploying to production weekly, A/B testing customer-facing changes, and continually refining based on data. We are seeking a Staff iOS Engineer to join our Discovery pillar. This engineer will be aligned with the pillar's mission, working on some of our most important projects. We help retailers find exactly what they're looking for on Faire, evaluate it as a product in their stores, and efficiently trial or purchase the product. This role will also help set the technical vision for our iOS and improve the overall iOS architecture as a valued member of our staff engineering team in the larger iOS team at Faire. The Discovery pillar drives our market growth by tuning Faire for each retailer, showcasing products that inspire business growth, helping them understand what will sell in their segment, and making it easy for them to expand into brands they may not have otherwise found. Discovery owns a significant amount of Faire's revenue and the ability of our engineers to have an impact on Faire's business is high. As a Staff iOS Architect, you'll collaborate with us to: Lead critical projects within the Discovery pillar, contributing directly to the core business objective of helping retailers find what they're looking for. Collaborate with a talented team of backend and frontend/mobile developers to deliver a compelling product. Work with the broader mobile development team at Faire to solidify and grow our mobile architecture, establishing best practices and driving innovation. Coach and mentor mobile engineers in a fast-paced environment, fostering a culture of technical excellence. Improve the quality of our mobile apps through comprehensive testing strategies and a focus on long-term architectural health. Improve the iOS architecture, addressing technical debt and implementing forward-thinking solutions. We're excited about you because you have: 6+ years of iOS experience, having worked on multiple apps shipped to the App Store, with a strong portfolio demonstrating architectural contributions. Experience shipping and maintaining a mobile app over an extended period of time, with a proven track record of working with mobile apps at scale or having helped apps scale to millions of users. A passion for programming alongside strong problem-solving and architectural abilities, with a focus on elegant and scalable solutions. A love for technology, and an insatiable curiosity for new tools to solve real problems, always seeking to innovate and improve. Previous experience on a platform team and a passion for scaling systems for a growing organization and user base, with a deep understanding of mobile infrastructure. A high bar for engineering excellence and a commitment to delivering high-quality, performant, and maintainable code. Curiosity to drive engineering impact outside of the iOS tech stack, demonstrating a holistic understanding of software systems. Technologies we use and teach: Swift SwiftUI, UIKit Swift Concurrency Protocol Buffers Bazel Salary range: San Francisco: the pay range for this role is $224,000 - $308,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you'll love working at Faire We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (************************** Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (******************************

Who We Are Renew Home is on a mission to change how we power the world by making it easier for customers to save energy and money at home as part of the largest residential virtual power plant in North America. We partner with industry-leading brands to better manage residential energy for users by prioritizing efficiency, savings, and comfort - and cleaner energy for everyone. We are an Equal Opportunity employer striving to create a diverse, equitable, and inclusive work environment where everyone feels that they have a voice that is heard. We strongly encourage candidates to check out our website at ***************** to learn more about the world-changing work we are doing. Role Summary Renew Home is seeking a talented and self-driven Staff Algorithms Engineer to join the growing Algorithms team. You'll take significant ownership of end-to-end algorithm development-from discovery to deployment-contributing directly to the value we provide the grid and to company performance. This includes tackling challenges like co-optimizing thermostats, home batteries, and electric vehicles - taking into account user needs, physical system dynamics, and grid demand. What You Will Do Algorithm & Model Development Optimize load profiles across multiple classes of devices including thermostats, home batteries, and EVs. Develop and productionize algorithms and models using machine learning and statistical techniques. Analyze diverse datasets such as device temperature, energy consumption, user interactions, grid carbon emissions, weather, and energy markets to inform product direction and algorithm design. Show significant ownership of the algorithms team's software architecture. Project Leadership & Collaboration Collaborate with Product, Product Design/UX, Operations, and Engineering to define and deliver impactful features. Drive software projects independently over multi-week timeframes. Provide technical leadership in small engineering groups. Help clarify ambiguous problems and shape solutions that balance technical feasibility and business needs. System Design & Engineering Design, implement, and maintain systems and features, including integration points with other teams and external platforms. Work across our stack: Python, PostgreSQL, Prefect, AWS/GCP (CDK, ECS/EKS, RDS, Redshift, S3, etc.), Apache, Git, and Jira. Uphold high standards in code quality, testing, security, observability, and operational excellence. Foster a collaborative and efficient engineering culture, reducing complexity and improving development processes. Requirements Significant experience developing and evaluating algorithms and models in production environments (typically 6+ years). Bachelor's or Master's degree in Computer Science-or equivalent professional experience. Proficiency in Python for algorithm-focused software development. Strong SQL skills and experience with databases such as PostgreSQL, MySQL, Oracle, or Redshift. Experience leading the design of complex, scalable software systems. Strong problem-solving skills and attention to detail. Ability to navigate ambiguity and collaboratively define clear problem statements and solutions at a system level. Familiarity with the full software development lifecycle, including design, implementation, testing, deployment, monitoring, and iteration. Solid foundation in statistics, including inference, simulation, and optimization. Hands-on experience developing machine learning or statistical models. Bonus Experience Scalable distributed data processing. Serverless and cloud-native tools such as AWS Lambda, GCP Pub/Sub. Energy industry knowledge or experience with energy markets. Understanding of building energy systems physics. Experience with smart energy devices such as thermostats, EVs, solar, batteries, and water heaters. Data pipeline development using Prefect, Airflow, or similar ETL/ELT tools. Familiarity with AI/ML frameworks like Scikit-learn, TensorFlow, PyTorch, Prophet, Numpy, and Jupyter. Benefits What You'll Get A full-time position, with a competitive salary based on experience. The base salary for this role is: $170k - $220k. Fully remote work environment with home office set-up allowance. Real and lived work-life balance - Company perks include no pre-set vacation limits (with a top-down culture of taking meaningful PTO every year!), parental leave benefits, and a corporate value of working sustainably and putting families first. Competitive benefits package that includes numerous health and wellness benefits. 401(k) plan, with employer contributions to the same. Opportunity to work with amazing people who are passionate about their mission, thriving in a fully-remote work environment, and learning and growing every day. Not eligible for visa sponsorship. EQUAL OPPORTUNITY EMPLOYER Individuals seeking employment at Renew Home are considered without regard to race, color, religious creed, sex, gender identification, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Type: Full-time Experience: 8+ years Astra is a high-impact engineering team building mission-critical financial infrastructure. Our fintech platform powers payment processing, fraud detection, and financial compliance for businesses handling 100M+ in weekly transaction volume. We maintain 99.9%+ uptime, process complex cross-border payments, and coordinate with multiple third-party financial services while meeting strict regulatory requirements. The Role We're looking for a Senior/Staff Backend Engineer to architect and build complex financial systems that process millions of dollars daily. You'll be one of our core engineers designing cross-domain solutions that coordinate payments, fraud detection, compliance, and user management across our distributed microservices architecture. This role requires deep systems thinking, technical leadership, and the ability to solve complex engineering challenges that span multiple domains and external integrations. What You'll Do Architect Critical Financial Systems: Design and implement payment processing, fraud detection, and compliance systems that handle millions of dollars daily with strict regulatory requirements Lead Cross-Domain Solutions: Coordinate complex interactions between payments, fraud detection, user management, and compliance systems Drive Technical Decisions: Lead architecture decisions that impact our entire platform and establish best practices for a growing team Mentor Engineers: Guide junior engineers and establish coding standards, design patterns, and engineering practices Optimize System Performance: Improve reliability and performance across our distributed microservices architecture Collaborate Across Teams: Work closely with product and compliance teams to design systems that meet business and regulatory requirements What We're Looking For Staff Backend Engineer Requirements 8+ years of software engineering experience building complex, production systems 3+ years of technical leadership experience (mentoring, architecture decisions, cross-team coordination) Demonstrated systems engineering experience solving complex, cross-domain challenges Strong foundation in algorithms, data structures, and computer science fundamentals Experience with distributed systems, event-driven architectures, and microservices Education Bachelor's degree in Computer Science, Engineering, or related field required Master's degree in Computer Science or Engineering from an accredited university highly preferred Technical Skills Backend Development: Python (we use Python 3), strong understanding of web frameworks and APIs Database Design: Experience with NoSQL and SQL databases Cloud Infrastructure: Google Cloud Platform, or similar cloud platforms Architecture Patterns: Domain-driven design, clean architecture, CQRS System Design: Ability to design systems that balance performance, maintainability, and business requirements Preferred Experience Financial Systems: Payment processing, fraud detection, or compliance systems Financial Regulations: Understanding of AML, KYC, PCI DSS, or similar regulations Banking Integrations: Experience with financial APIs and money movement systems High-Scale Systems: Experience with systems processing high transaction volumes Third-Party Integrations: Experience coordinating multiple external service integrations Why This Role Matters Direct Impact: You'll be a big part of a small engineering team building systems that power a growing fintech platform Architecture Influence: Lead technical decisions that will scale with our business Complex Problems: Work on sophisticated challenges that few engineers get to solve Team Building: Establish engineering practices and culture from the ground up Financial Innovation: Build systems that enable new financial products and services What We Offer Competitive compensation with equity in a growing fintech company Remote-first culture with flexible working arrangements Small team, big impact - your work directly shapes our platform Professional growth - lead technical decisions and mentor team members Modern tech stack - work with cutting-edge cloud technologies Mission-driven - build systems that power financial innovation Remote Work and Culture Astra is a remote-first company hiring only within the U.S. We value thoughtful collaboration, clarity, and initiative. We're proud to be an equal opportunity employer and are committed to building a diverse and inclusive team. How to Apply We're looking for engineers who are excited by complex systems problems and have the educational background and experience to handle sophisticated challenges. If you're passionate about building mission-critical financial infrastructure and want to have a direct impact on our technical direction, we'd love to hear from you.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. In this role as a Staff Partner Solutions Engineer, you will be responsible for providing technical leadership across Commercial and Product Partnership teams, supporting large cross-functional programs. You will represent Affirm's engineering team and technologies to partners, while helping drive technical + business strategy. This role entails operational support for ad hoc partner requests, collaborating with engineering teams on solution design, and managing the execution of long-term initiatives. The ideal candidate will be passionate about fostering a culture of engineering excellence and innovation, unafraid to roll up their sleeves with engineers with a proven track record of delivering results. What You'll Do Develop detailed project plans, including: solution design, timeline estimation, task break-down, and testing plan. Provide day to day support for technical questions from external partner stakeholders Develop integration support material and documentation for new products, rollouts and features Serves as an overarching SME and point of escalation for internal and external teams facing technical challenges Make recommendations on integration strategy, platform evolution, infrastructure, and tooling selection to optimize user experience Explore the business intersection between our commercial strategy and technical Partnership capabilities Contribute to the internal development of pertinent external documentation to strengthen the overall partnership experience What We Look For 4+ years experience in a Solutions Engineering, Partner Engineering, Sales Engineering, Technical Account Management, Solutions Architecture, or any other customer-facing engineering role Ability to read and understand multiple programming languages Experience and understanding of JSON, HTML, REST API, and Webhook technologies Familiarity with the following concepts: integrating UX elements w/ backend services, frameworks, and 3rd party developer APIs Experience with alerting and monitoring tools and applications Excellent verbal and written communication skills, strong project management skills, capable of influencing internal and external stakeholders to stay on schedule Passion and drive to change consumer banking for the better Nice to have: experience and understanding of various Partner Platform Types (e.g. Ecommerce, Payment Processors, Payment Gateways, and Wallets) Base Pay Grade - N Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $150,000 - $200,000 #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We're extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It's On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Entefy's vision is simplifying how people interact digitally. To make it happen, we're seeking computer vision-aries. Our hyper-talented Product team is seeking a Machine Learning and AI expert with the skills to redefine how computers make sense of the visual world. In this role you will utilize the latest techniques in artificial intelligence and computer vision, working on confidential projects that will impact Entefy's suite of products. This is highly challenging work that will engage your deep understanding of algorithms to build never-before-seen machine intelligence. Skills and Experience:Not everyone takes the time to achieve excellence. Not everyone has the drive for one more try. Entefy is searching for the best because we're building first-of-its-kind AI communication technology to make the world the best place it can be. If you're creatively analytical, insatiably curious, fearless in tackling big problems, and can demonstrate excellence in computer vision, then you've earned yourself an interview with our team.Requirements: Solid fundamentals in mathematics, statistics, and machine learning theory Minimum 3 years of commercial experience (or equivalent) in computer vision Demonstrable proficiency in at least one applicable programming language such as Python, C, C++, Java Proficient knowledge of and experience with image classification, segmentation, or captioning Proficiency in image/video processing and computer vision tools such as PIL/Pillow, GraphicsMagick, FFmpeg, OpenCV, SimpleCV, etc. Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc. Other Qualifications Experience with modern deep learning techniques in CV including convolutional networks, residual networks, attentional models, etc. Strong written and verbal communication skills Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics Experience with parallel computing technologies such as OpenMP, CUDA, OpenACC, MPI Experience with big data and distributed computing technologies such as Hadoop, MapReduce, Spark, Storm, etc. Demonstrable proficiency in more than one applicable programming languages is a plus Visit ************** and **************/blog

The Company Medely is a high-growth series-C technology start-up reimagining the future of healthcare work by providing an on-demand marketplace and workforce management tools. With the support of top-tier investors, Medely has quickly become a go-to platform for healthcare professionals to instantly access high-paying jobs with the freedom and flexibility to work when and where they want. As a fully remote team of sharp, collaborative, and entrepreneurial individuals, we are dedicated to redefining the way healthcare workers and facilities work together to provide for patients. We are looking for passionate and skilled professionals to join our team and help us take on tough challenges in this fast-expanding healthcare industry segment. Join us in our mission to transform the healthcare staffing industry and improve patient lives! The Role At Medely, we're transforming how healthcare professionals and facilities connect: faster, smarter, and at scale. Every experience we build helps nurses, clinicians, and hospitals focus less on logistics and more on care. As our Staff Front End Engineer, you'll lead the front end vision for one of our core product teams. You'll partner with backend and mobile engineers to design elegant, performant, and scalable user experiences that power both sides of our marketplace. From architecture decisions to mentoring engineers, you'll shape how healthcare staffing feels and functions in the modern era. The Impact You'll Make: Act as the front end technical lead for cross-functional, agile teams building high-impact web applications. Drive architecture decisions and code standards to ensure scalability, maintainability, and performance. Collaborate with product, design, and backend partners to translate ideas into delightful, accessible, and performant interfaces. Lead by example - write high-quality, testable code and perform thoughtful code reviews. Champion modern front end technologies, developer tools, and patterns to continuously evolve our stack. Mentor and elevate other engineers through knowledge sharing and collaboration. Who You Are: 7+ years of professional front end development experience, with deep expertise of 3+ years in React (including state management, animations, and Webpack). Strong understanding of JavaScript/TypeScript and modern frameworks; React Native experience is a plus. Proven experience leading or architecting complex, interactive applications end-to-end. Passion for design systems, performance optimization, and crafting exceptional user experiences. Track record of mentoring engineers and improving team culture and process. Collaborative mindset - you're equally comfortable whiteboarding solutions or rolling up your sleeves to ship them. Awareness of scalability and performance considerations across browsers and devices. BS/BA in Computer Science or related technical field (or equivalent practical experience). What Will Set You Apart You think beyond the code. You care about how things are built and why they matter to the user. You've owned complex, high-traffic web applications and made measurable improvements to performance, scalability, or developer experience. You have strong opinions, loosely held: you can articulate architectural decisions clearly but stay open to new ideas. You find joy in details: accessibility, animation timing, responsiveness - the subtle things that turn a good UI into a great one. Why Medely: Benefits & Perks Competitive Compensation: Based on experience and performance Long-term Incentives: 401k Healthcare Benefits: Full suite of benefits including medical, dental, and vision insurance Flexibility: We believe that work/life balance is important, so we offer flexible and unlimited PTO Paid parental leave Purpose: Join a growing mission-oriented startup that is modernizing the healthcare industry nationally! Ownership: Drive meaningful business impact on a team you'll help build and define! Remote: Work in a digital environment with all the tools to achieve your work as though you were in the office! We're an equal opportunity employer to all. We interview and hire applicants of all backgrounds, orientations, expressions, and identities. Work location is flexible if approved by Medely. Medely does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency or outside recruiter without prior approval from a member of the Medely Human Resources or Recruiting team to be unsolicited and gratuitous, and such submissions will not be recognized by Medely for purposes of “ownership” of the candidate. We are an E-Verify company.

Ishpi Information Technologies, Inc. (DBA ISHPI) is passionate about providing our customers with technical solutions that satisfy their business needs. Through collaborative interactions with customers, team members, subject matter experts (SMEs), technical leaders, and partners we design practical solutions that solve real problems for major government and business organizations. As a member of our group, you will work with a team focused on delivering innovative business solutions using emerging technologies through proven successful methods. Responsibilities The Computer Engineer II will provide support to the Naval Surface Warfare Command in Philadelphia, PA. Shall provide expert technical, engineering and software development, testing and software maintenance support services to NSWCPD for cybersecurity improvements to U.S. Navy platforms to include Propulsion, Electrical Plant, Machinery Control, Steering Control, Navigation, Shipboard Network Systems, and othershipboard control systems related to the development, implementation and execution of the Navy's acquisition and modernization programs. Qualifications Education: Bachelor's degree in Computer, Electrical or Electronics Engineering or Mathematics with field in concentration in computer science from an accredited university. Work Experience: Three (3) years of professional experience in computer design, software development or computer networks. Must have one (1) year of experience reviewing, analyzing, and modifying programming systems, including encoding, testing, debugging and installing. Must have one (1) year of experience gathering requirements from users, creating specifications and developing code. Knowledge and experience in JAVA, Python, and C++ is required. Certification: IAT Level II certification such as CCNA-Security, CySA+ **, Security+ CE, GICSP, GSEC, CND, or SSCP Security Clearance: Requires U.S. Citizenship and an active government security clearance. “Ishpi Information Technologies, Inc. is an Equal Opportunity Employer. All qualified candidates will be considered without regard to legally protected characteristics. Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified, you may be contacted for this and future openings.

Lead AI CV Engineer Are you ready to develop the future of retail? As the world's leader in IoT and data technologies for commerce, our mission is to help retailers and brands use digitalization to become more efficient, more intelligent, and more sustainable-and in doing so, enable more positive commerce. VusionGroup is a fast-growing, fast-paced retail tech company. We believe that by thinking big and working together as one team-agile thinkers, tech makers, and change agents-we can build the largest retail IoT platform in the world. Job Description We build. We create impact. At VusionGroup, we're proud to offer innovative products that meet the needs of our customers. To help us continue expanding our offerings, We are seeking a highly skilled Lead AI / Computer Vision Engineer to drive the development, deployment, and optimization of our computer vision solutions. Reporting to the Director of Engineering you will lead engineering efforts to transform cutting-edge CV models into scalable, production-ready systems. You will work cross-functionally with research, engineering, data, and product teams to build robust pipelines, optimize inference, and deliver high-impact AI solutions in production environments. You will also build a team of Data scientists , AI/ML engineers. Lead the end-to-end engineering of computer vision systems, from prototyping to production deployment Translate research prototypes into robust, production-ready systems Collaborate with AI researchers to implement state-of-the-art vision algorithms (object detection, tracking, segmentation, OCR, 3D vision, etc.) Architect scalable, low-latency pipelines for image processing in production Optimize models for inference via quantization, pruning, knowledge distillation, TensorRT, OpenVINO, ONNX, etc. Build and maintain data pipelines for large-scale image/video datasets (collection, preprocessing, augmentation, labeling) Integrate vision models with cloud infrastructure (AWS, GCP, Azure) and deploy scalable inference APIs or streaming solutions Implement model monitoring, drift detection, and automated retraining workflows in production Drive best practices for model evaluation, benchmarking, explainability, and validation under real-world conditions Mentor engineers and foster a collaborative, high-performance engineering culture Stay up-to-date with advances in computer vision and AI, evaluating new tools and techniques for practical adoption Qualifications Qualifications we're looking for. Experience: 7+ years of experience in computer vision/AI engineering, with 2+ years in a technical leadership role Proven track record of leading cross-functional AI/ML engineering projects to production Skills: Strong programming skills in Python and experience with PyTorch, TensorFlow, or similar frameworks Expertise in modern computer vision techniques (object detection, segmentation, classification, tracking, etc.) Experience deploying CV models in real-time, batch, and streaming pipelines Proven experience deploying AI/ML models in cloud environments (AWS, Azure, GCP) Solid understanding of ML Ops, Docker, Kubernetes, REST APIs, and cloud infrastructure automation Experience with model lifecycle management (MLflow, Kubeflow, SageMaker) Understanding of vision model evaluation metrics (mAP, IoU, precision/recall, latency, FPS, throughput) Excellent problem-solving, architecture design, and mentoring skills Abilities: Ability to collaborate across product, data, research, and engineering teams Able to architect and develop high quality Rest API's. Education: Master's, or PhD in Computer Science, Electrical Engineering, Applied Math, or a related field is preferred. Preferred Qualifications: Experience with data privacy and compliance considerations in AI systems We innovate. We help communities thrive. VusionGroup has an international presence in 19 countries. In joining us, you'll be part of a globally distributed team of intellectually curious, committed, and collaborative co-workers. The work is fast paced, challenging, and ambitious. Here, you will feel valued for your contributions as we reinvent modern commerce-together. We feel supported. You will too. VusionGroup is a place where people feel safe, happy, and respected. We offer programs and benefits to support you in whatever comes next in your life, including: Generous paid time off (PTO): 35 days PTO to enable work/life integration and promotes a culture of trust. Health & Wellness: Eligibility for healthcare benefits begin day one, plus retirement savings plans. Financial future: While retirement savings plans vary by country, we help you plan for your future. Family-First Support: Navigate family challenges with our assistance, securing time for both your loved ones and self-care. Hybrid work: Find your balance with two days working from home, three days in the office, plus the freedom to work anywhere for up to two weeks a year. Time off to volunteer and give back to your community. Career Growth: E-learning opportunities and workshops, and global mobility potential Commute benefits: up to $100/month per employee for commuting expenses. Philanthropy: Our company matches employee donations up to $500 per year for causes close to your heart. Additional Information All your information will be kept confidential according to EEO guidelines. #LI-HYBRID

Job Title: Senior Knowledge Graph Engineer / AI Architect Duration: 6 Months with possible extensions or conversion Lead the design and deployment of intelligent systems using Knowledge Graphs and AI reasoning. You'll architect scalable solutions that combine semantic technologies with AI models to enable advanced inference, decision support, and autonomous agents. Key Responsibilities Build and scale Knowledge Graphs (RDF, OWL, SPARQL, Neo4j). Integrate AI models for reasoning, enrichment, and search. Develop semantic pipelines (NLP, entity linking, ontology alignment). Lead technical strategy and mentor teams. Prototype LLM + graph systems for real-time applications. Qualifications 7+ years in software/AI engineering; 3+ with Knowledge Graphs. Strong in semantic tech, graph DBs, hybrid AI, Python/Java. Experience with LLM tools (LangChain, CrewAI), reasoning engines. Excellent communication and leadership. Bonus MS/PhD, experience with Drools, RDFox, or autonomous agents. Research or open-source contributions. California Pay Range$70-$80 USD

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: We are seeking a talented Staff Artificial Intelligence (AI) engineer to join our AI Research team and contribute to our vision of creating a “Queryable Earth”. In this role, you will work with cutting-edge vision-language models (VLMs) and contrastive vision-language embedding models to extract valuable insights from our extensive archive of geospatial imagery. This is a fantastic opportunity to contribute to accelerate the shift in how geospatial data is consumed by end users. You will work with highly skilled Planeteers working on multi-disciplinary fields including satellites, space operations, image processing, data pipeline and analytics teams and work to co-develop AI/ML solutions for Planet's geospatial imagery. Join us in revolutionizing how we understand and interact with our Planetary Dataset through the power of AI. This is a full-time, remote role, with a requirement to travel to San Francisco, HQ once a month. Impact You'll Own: Develop and optimize multimodal LLM applications Build embedding & similarity search pipelines at planetary scale-batch over xarray/Zarr cubes, index with BigQuery or PostGIS, etc. Fine‑tune multimodal foundation models (e.g. CLIP-like models, MAEs, ViTs) for Earth‑observation tasks: change detection, land‑cover, semantic search, object counting Design and execute machine learning workflows for geospatial analysis Define success criteria and model benchmarks, adding instrumentation and model versioning where appropriate Co‑design tool schemas & guardrails with backend engineers so LLM‑generated JSON plans execute safely Collaborate with research scientists and engineers to design innovative models for remote sensing applications Assist in automating the preprocessing and labeling geospatial data for AI tasks Evaluate and improve algorithms for feature detection and classification in satellite imagery Publish findings internally & externally (e.g. IGARSS, CVPR, etc.) What You Bring: Advanced degree in Computer Science, Artificial Intelligence, Remote Sensing, or similar 12+ years expertise (or demonstrably equivalent) in Computer Science, Artificial Intelligence, Remote Sensing, or a related field Experience with remote sensing, satellite image analysis, and geospatial data Experience with rapid prototyping of AI Applications, especially search, LLMs, and agents, e.g. Google ADK, Model Context Protocol, CrewAI, Langchain, etc. Extensive experience in developing and deploying AI/ML models, with a focus on geospatial applications and foundation models, embeddings, and frontier VLLMs Excellent understanding of generative AI techniques, including LLMs and embeddings. Proficient in Python and deep learning frameworks and high-performance distributed computing and IO frameworks using the python ecosystem, e.g. xarrays, dask, numpy, BigQuery, etc. Expertise with computer vision and natural language processing techniques and familiarity with joint multimodal embeddings generators like CLIP and its more recent variants, as well as the operation and use of MMVLMs (multi-model vision-language models) Familiarity with multi-dimensional geometry, statistics, linear algebra, optimization, and the internals of standard deep learning architectures Fluency in full stack-development development and effective GUI implementation for web applications which rely on back-end scientific and AI systems Knowledge of geospatial data formats and analysis tools (e.g., GDAL, GeoPandas, Rasterio) Excellent problem-solving skills and ability to work in a dynamic research environment Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and big data workflows Excellent communication and collaboration skills What Makes You Stand Out: Product and/or business development experience Experience with distributed computing (Docker/K8s, Dask, Ray Serve) #LI-REMOTE Application Deadline: December 24, 2025 at 11:59pm PT EAR/ITAR Requirements: This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate's ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. Comprehensive Medical, Dental, and Vision plans Health Savings Account (HSA) with a company contribution Generous Paid Time Off in addition to holidays and company-wide days off 16 Weeks of Paid Parental Leave Wellness Program and Employee Assistance Program (EAP) Home Office Reimbursement Monthly Phone and Internet Reimbursement Tuition Reimbursement and access to LinkedIn Learning Equity Commuter Benefits (if local to an office) Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. New York City + California Salary Range$217,900-$272,400 USDSan Francisco Salary Range$231,500-$289,400 USDUS National Salary Range$203,300-$254,100 USD Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights. Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions . If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Lead AI CV Engineer Are you ready to develop the future of retail? As the world's leader in IoT and data technologies for commerce, our mission is to help retailers and brands use digitalization to become more efficient, more intelligent, and more sustainable-and in doing so, enable more positive commerce. VusionGroup is a fast-growing, fast-paced retail tech company. We believe that by thinking big and working together as one team-agile thinkers, tech makers, and change agents-we can build the largest retail IoT platform in the world. Job Description We build. We create impact. At VusionGroup, we're proud to offer innovative products that meet the needs of our customers. To help us continue expanding our offerings, We are seeking a highly skilled Lead AI / Computer Vision Engineer to drive the development, deployment, and optimization of our computer vision solutions. Reporting to the Director of Engineering you will lead engineering efforts to transform cutting-edge CV models into scalable, production-ready systems. You will work cross-functionally with research, engineering, data, and product teams to build robust pipelines, optimize inference, and deliver high-impact AI solutions in production environments. You will also build a team of Data scientists , AI/ML engineers. Lead the end-to-end engineering of computer vision systems, from prototyping to production deployment Translate research prototypes into robust, production-ready systems Collaborate with AI researchers to implement state-of-the-art vision algorithms (object detection, tracking, segmentation, OCR, 3D vision, etc.) Architect scalable, low-latency pipelines for image processing in production Optimize models for inference via quantization, pruning, knowledge distillation, TensorRT, OpenVINO, ONNX, etc. Build and maintain data pipelines for large-scale image/video datasets (collection, preprocessing, augmentation, labeling) Integrate vision models with cloud infrastructure (AWS, GCP, Azure) and deploy scalable inference APIs or streaming solutions Implement model monitoring, drift detection, and automated retraining workflows in production Drive best practices for model evaluation, benchmarking, explainability, and validation under real-world conditions Mentor engineers and foster a collaborative, high-performance engineering culture Stay up-to-date with advances in computer vision and AI, evaluating new tools and techniques for practical adoption Qualifications Qualifications we're looking for. Experience: 7+ years of experience in computer vision/AI engineering, with 2+ years in a technical leadership role Proven track record of leading cross-functional AI/ML engineering projects to production Skills: Strong programming skills in Python and experience with PyTorch, TensorFlow, or similar frameworks Expertise in modern computer vision techniques (object detection, segmentation, classification, tracking, etc.) Experience deploying CV models in real-time, batch, and streaming pipelines Proven experience deploying AI/ML models in cloud environments (AWS, Azure, GCP) Solid understanding of ML Ops, Docker, Kubernetes, REST APIs, and cloud infrastructure automation Experience with model lifecycle management (MLflow, Kubeflow, SageMaker) Understanding of vision model evaluation metrics (mAP, IoU, precision/recall, latency, FPS, throughput) Excellent problem-solving, architecture design, and mentoring skills Abilities: Ability to collaborate across product, data, research, and engineering teams Able to architect and develop high quality Rest API's. Education: Master's, or PhD in Computer Science, Electrical Engineering, Applied Math, or a related field is preferred. Preferred Qualifications: Experience with data privacy and compliance considerations in AI systems We innovate. We help communities thrive. VusionGroup has an international presence in 19 countries. In joining us, you'll be part of a globally distributed team of intellectually curious, committed, and collaborative co-workers. The work is fast paced, challenging, and ambitious. Here, you will feel valued for your contributions as we reinvent modern commerce-together. We feel supported. You will too. VusionGroup is a place where people feel safe, happy, and respected. We offer programs and benefits to support you in whatever comes next in your life, including: Generous paid time off (PTO ): 35 days PTO to enable work/life integration and promotes a culture of trust. Health & Wellness : Eligibility for healthcare benefits begin day one, plus retirement savings plans. Financial future : While retirement savings plans vary by country, we help you plan for your future. Family-First Support : Navigate family challenges with our assistance, securing time for both your loved ones and self-care. Hybrid work : Find your balance with two days working from home, three days in the office, plus the freedom to work anywhere for up to two weeks a year. Time off to volunteer and give back to your community. Career Growth: E-learning opportunities and workshops, and global mobility potential Commute benefits : up to $100/month per employee for commuting expenses. Philanthropy : Our company matches employee donations up to $500 per year for causes close to your heart. Additional Information All your information will be kept confidential according to EEO guidelines. #LI-HYBRID

Job DescriptionBenefits: Health insurance Paid time off Required Skills/Level of Experience: Experience in developing, in collaboration with stakeholders, including customers, partners, project teams, and vendors, architectures for large, complex programs - 10+ years Strong customer communication skills, both oral and written 10+ years Experience in leading teams of architects and/or developers 5+ years Experience modernizing complex enterprise applications, including Java applications, for the Cloud 4+ years Experience modernizing complex enterprise applications, leveraging microservices running in containers - 4+ years Experience with Kubernetes and OpenShift 4+ years Experience with building complex AWS GovCloud solutions 4+ years Experience developing solutions leveraging Event Driven Architecture patterns 4+ years Experience with information security for large, highly sensitive Java applications 4+ years Experience maintaining requirements and traceability against business and application requirements for large, complex applications 4+ years Experience with the Linux platform 4+ years Experience with CM tools, such as IBM Engineering Workflow Management (EWM) and Git SCM 4+ years Experience with middleware products, including JBoss EAP, WebSphere Application Server, AMQ, Kafka and IBM MQ - 3+ years Experience in developing DevSecOps solutions on complex projects 2+ years Preferred Skills: Experience with relational and NoSQL database technologies Experience with database modeling tools, especially erwin Data Modeler Experience with developing monitoring solutions Experience with CMMI Level 3 Process Areas Experience with Azure cloud for government and Google cloud for government Experience with Agile methodologies Experience with IaC tools such as Puppet/Chef/Ansible Experience with AppDynamics Active AWS Solution Architect Certification This is a remote position.

As a Computer Systems Engineer, Architect (SME), you will play a crucial role in designing, implementing, and optimizing advanced computer systems and architectures. You will work closely with cross-functional teams to develop robust solutions that meet our clients' specific requirements while adhering to industry best practices and standards. Responsibilities: * System Design and Architecture: Lead the design, architecture, and integration of computer systems, including hardware, software, networking, and storage components. Develop a comprehensive system and specifications to guide implementation efforts. * Technology Evaluation and Selection: Evaluate emerging technologies, tools, and platforms to determine their suitability for inclusion in system designs. Make informed recommendations based on performance, scalability, reliability, and cost considerations. * Performance Optimization: Identify performance bottlenecks and inefficiencies in existing computer systems and propose innovative solutions to optimize performance, throughput, and resource utilization. * Security and Compliance: Collaborate with cybersecurity experts to integrate robust security measures into system designs and architectures. Comprehensive understanding of regulatory compliance standards relevant to the IT industry to ensure compliance with relevant regulations and industry standards, such as the Federal Information Security Management Act (FISMA), National Institute of Standards and Technology (NIST) frameworks, and General Data Protection Regulation (GDPR) for international consideration * Scalability and Resilience: Design systems that can seamlessly scale to accommodate growing workloads and user demands. Implement redundancy and failover mechanisms to enhance system resilience and availability. * Cross-Functional Collaboration: Work closely with software developers, network engineers, database administrators, and other stakeholders to integrate system components and ensure seamless interoperability. * Documentation and Reporting: Create detailed technical documentation, including system design documents, architecture diagrams, and implementation guides. Provide regular progress updates and reports to project stakeholders. * Continuous Improvement: Stay abreast of industry trends, advancements, and best practices in computer systems engineering and architecture. Proactively identify opportunities for process improvement and optimization.

About Us AlphaPoint's AI Labs' team of engineers and AI scientists is solving complex business problems by bridging the gap between transformative breakthroughs in AI technology and increasingly competitive markets. Our team is developing and applying the latest generative AI, data and knowledge modeling technologies to large scale problems, right at the edge of what is possible. AlphaPoint is a financial technology company powering digital asset exchanges and brokerages worldwide. The Role Design and implement knowledge extraction pipelines from diverse unstructured and semi-structured data sources. Design and develop knowledge representation schemas and ontologies to model complex domain knowledge. Develop and optimize semantic parsing techniques to convert natural language into structured queries or representations. Utilize and contribute to graph query languages for efficient retrieval. Use query languages to discover deep connections between entities, predict node attributes, perform clustering techniques and anomaly detection methods. Collaborate with AI researchers, data scientists, and software engineers to integrate knowledge systems into larger platforms. Evaluate and select appropriate tools and technologies and stay up-to-date with the latest advancements for knowledge representation and reasoning. Contribute to the continuous improvement of our knowledge engineering processes and best practices. You Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Linguistics, or a related field. Proficiency in graph databases (e.g., Neo4j, ArangoDB, Amazon Neptune) and graph query languages (e.g., Cypher, SPARQL, Gremlin). Familiarity with knowledge extraction methods, including information extraction, entity recognition, and relation extraction Proven experience in using Language Models (LMs) in knowledge retrieval and knowledge extractions applications, including the use of fine tuning, RAG architectures, query engineering and semantic parsing against knowledge graphs. Excellent programming skills in Python, Node.js, and familiarity with ML libraries such as PyTorch and Tensorflow Strong understanding of ontology design principles; experience with languages like OWL or RDF is a plus. Ability to work independently and as part of a collaborative team. Excellent problem-solving and communication skills. Preferred Qualifications PhD in a relevant field. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) applied to knowledge representation tasks. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML services. Experience in a production environment with large-scale knowledge systems. Benefits 100% Remote Work Environment Competitive compensation Equity or stock options (if applicable) A culture of autonomy, experimentation, and learning Opportunity to make a real impact on company trajectory