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Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: _ You will…- Lead and own the creation, documentation, alignment and verification of all behavioral system requirements at Waabi with a strong understanding of vehicle behaviors and interactions and how to describe and evaluate them efficiently and effectively- Act as a central point of contact at Waabi for all matters related to behavioral requirements and related scenario sets and communicate updates, progress and potential roadblocks to stakeholders at all levels- Help drive Waabi’s safety culture through application of safety standards and methodologies in your area of responsibility across all supporting teams at Waabi including Systems Engineering, Hardware and Software- Define all necessary improvements for our highly realistic simulator to effectively verify all driving behaviors under all required conditions and work with other teams at Waabi to get these improvements designed and implemented- Own the overall concept for how we document and link all product requirements, system requirements, tests and test executions for all aspects of the highly autonomous vehicle- Continuously evaluate and enhance Waabi’s behavioral evaluation capabilities, look for novel approaches, identify and apply lessons learned and ensure a detailed and comprehensive documentation that is easily accessible- Implement tools and methodologies to streamline and automate the behavioral requirement processes where applicable- Work with external partners on gathering data and information related to driving behaviors of trucks as well as on supporting a strong safety case for the complete self-driving system Qualifications:- Undergrad required; Masters or PhD within an engineering discipline preferred- 5+ years of automotive, robotics, aerospace or related industry experience- Experience with requirements and metrics for driving behavior evaluations- Experience with building complex driving behavior scenarios- Experience with methods and standards such as STPA, SOTIF (ISO 21448) and / or UL 4600- Strong fundamentals in mathematics, engineering and physics- Ability to communicate complex concepts or data in a simple-yet-accurate manner- Excellent data analysis skills with modern tools such as Python or Matlab- Open-minded and collaborative leader who is eager to provide guidance and has the willingness to help others- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions Bonus/nice to have:- Experience in launching a driverless product- Experience in leading small teams of systems engineers- Experience in the automotive self driving industry- Experience building software systems from scratch- Experience in robotics or machine learning- Proficiency with data mining, mathematics, and statistical analysis The US yearly salary range for this role is: $180,000 - $240,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only)- Unlimited Vacation- Flexible hours and Work from Home support- Daily drinks, snacks and catered meals (when in office)- Regularly scheduled team building activities and social events both on-site, off-site & virtually- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact every area of human society for the better. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is at the forefront of this technological revolution. We are looking for a Senior Quantum Field Engineer for our US Federal business. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems. Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact. Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. Responsibilities: • Inspire and co-engineer solutions with the US Intel Agencies by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications., • Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain., • This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team., • Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products., • Navigate competitive objection handling, • Translate business needs expressed by our clients into technical work projects in collaboration with other team members., • Create assets to explain features of our quantum applications and other IonQ quantum products., • Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows., • Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team, • Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large., • Attend industry conferences, as needed, to talk to client and support our booth activities., • This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first. You’d be a good fit with: • 10+ years of experience in technical customer-facing role or equivalent capacity. The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer-facing skills are critical., • US Citizen, with Top Secret (TS) / Sensitive Compartmented Information (SCI) clearance required, with a full scope polygraph preferred, • 5 years of focused experience with technology companies that support US Intel Agencies, • Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering, • Motivated learner with a strong interest in quantum computing., • Mission oriented person - driven to help the US Federal Government Intel agencies You’d be a great fit with: • Masters or PhD in a STEM field, perhaps adjacent to quantum computing., • Time on the customer side in various verticals included leadership roles - this provides customer empathy, • Hands-on experience with Qiskit, Cirq or other quantum computing SDK., • Proficient in Python and Jupyter Notebooks., • Expert architecture skills across various technologies (“full stack skills”), • Experience leading technical events. Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US or Canada. Travel: Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities. Job ID: 1311 The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity. Compensation will vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Posted base salary figures are subject to change as new market data becomes available. Beyond base salary, total compensation includes a variable bonus and equity component and a range of benefit options found on our career site at _. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. Our US benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, a home internet stipend, and pet insurance! IonQ's HQ is located in College Park, Maryland, just outside of Washington DC. We are actively building out our recently opened manufacturing and production facility in Bothell, WA (near Seattle). Depending on the position, you may be required to be near one of our offices in College Park, Seattle, Toronto, Canada, and Basel, Switzerland. However, IonQ will expand into additional domestic and international geographies, so don’t let this stop you from applying! At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used. You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products. With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research environment. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. We have hybrid offices in London, New York, and Singapore; this role is remote based in the San Francisco area. As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes. What you will do • Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving, • Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable, • Explore and manipulate 3D point cloud & mesh data, • Own the delivery of technical workstreams, • Create analytics environments and resources in the cloud or on premise, spanning data engineering and science, • Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success, • Work at the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products, • Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption You'll also have the opportunity to travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site. What you bring to the table • Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings., • Experience in ML/Computational statistics/Modelling use-cases in industrial settings (for example supply chain optimisation or manufacturing processes) is encouraged., • A track record of scoping and delivering projects in a customer facing role, • 2+ years’ experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps), • Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow), • Distributed computing frameworks (e.g., Spark, Dask), • Cloud platforms (e.g., AWS, Azure, GCP) and HP computing, • Containerization and orchestration (Docker, Kubernetes), • Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly, • Excellent collaboration and communication skills - with teams and customers alike, • A background in Physics, Engineering, or equivalent Our delivery teams drive innovation to turn AI models into practical solutions - Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. And it doesn’t stop there … 🚀 Equity options - share meaningfully in the company you’re helping to build. 💰 5% contribution to 401(k) - build long-term security with a strong retirement plan. 🏥 Private health insurance – comprehensive cover for you, offering total peace of mind. 👶 Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. ☀️ 20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. 📈 Personal development – dedicated support for learning, development, and leveling up over time. 💪 Gympass / Wellhub (subsidized) – for you and up to 3 family members, supporting both physical and mental wellbeing. 💳 Flexible Spending Account (FSA) – set aside pre-tax dollars for eligible healthcare expenses. 🔎 Watch this space, we’re continuing to build this as we grow… $150,000 - $190,000 depending on experience Seniority will be assessed throughout our interview process We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

a.i. solutions is looking to hire interns for the FreeFlyer product group to contribute to the solution of real-world flight dynamics problems in the aerospace industry supporting customers such as NASA, the US Air Force, and commercial companies worldwide. FreeFlyer is an industry-leading commercial-off-the-shelf (COTS) flight dynamics tool that is used in ground systems supporting communications, scientific, military, and educational projects to enable mission planning and awareness. Being a FreeFlyer intern means making meaningful contributions to the future of the tool as you either work with the development team to conduct research into new technologies and develop software prototypes or work with the technical support team to use the tool and overcome challenging aerospace engineering hurdles in support of our customers. As part of this work, FreeFlyer interns will interface with all areas of the FreeFlyer product team, learn about the industry, and learn about what a.i. solutions contributes to that industry over the course of their time with our team. The successful candidate will demonstrate the ability to embrace the a.i. solutions mission and work to continually exceed the expectations of our customers. This internship will run from Monday, May 18th, to Friday, August 14th. Essential Roles & Responsibilities: • Development Focus, • Plan and run simulations on third-party tools to improve developer productivity, • Investigate performance-improving external software architectures for use in the product, • Design and develop utility and infrastructure applications for use by the FreeFlyer team, • Systems Engineering Focus, • Generate sample Mission Plans in FreeFlyer in response to customer requests, • Build and update orbital mechanics instructional materials using FreeFlyer, • Create FreeFlyer webcasts and demonstration videos to highlight new features, • Update the FreeFlyer help file both in architecture and in content, • General, • Support the FreeFlyer team’s release cycle with verification testing efforts, • Provide meaningful design feedback during group reviews of new FreeFlyer features, • Attend company group meetings to better understand the industry and how we fit into it, • Learn about the different missions the company supports and our role in those tasks Minimum Qualifications: • Full-time enrollment in 2024 towards an associates, bachelors, masters, or PhD in engineering, mathematics, physics, or related field, • Basic familiarity with flight dynamics and/or orbital mechanics, • U.S. citizenship, • Must be a Brooke Owens Fellow Desirable Experience: • Experience with FreeFlyer and excitement about flight dynamics, • Programming experience in C++, C#, and Java; working with source-controlled operational cod

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Location: US remote-friendly or any office location - SF, LA, CHI, NY The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth. As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc.). You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research. This person will be an industry technical leader with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. You will go through a general Data Scientists hiring process and get matched to the product area that best fits your background and interest. Responsibilities: • Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations, • Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests, • Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly, • Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact, • Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes, • Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making Required Qualifications: • Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research, • For M.S. holders: 5+ years of industry experience in applied science or data science roles, • For Ph.D. holders: 4+ years of industry experience in applied science or data science roles, • Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python), • Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques, • Comfortable in innovative and fast-paced environments, and a bias toward action, • Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike, • Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #LI-Remote #LI-NH1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Entefy’s Senior Data Scientist is a highly visible position both internally and externally. Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere. Skills and Experience: We’re not looking for “good.” Entefy is on a mission to find exceptional talent. The success of our mission depends on our team’s ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges. \n Requirements: • Masters or PhD in in Computer Science, Mathematics, Statistics, Engineering, Physics, or related field preferred., • 5+ years of relevant experience., • Demonstrable proficiency in Python, Scala, SQL, or R., • Strong data visualization and reporting skills., • Expertise in extracting insights from real-world structured and unstructured datasets., • Proven track record delivering high-value, advanced analytics., • Experience leading the work of other data scientists or analysts is preferred., • Strong communication skills, • Startup agility and versatility. \n Visit and

On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company. What You’ll Be Doing: You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include: • Designing and executing high value experiments based on collaborative input from other machine learning engineers, • Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities, • Timely release of major model updates, including analysis of both off-line and on-road evaluation data, • Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature, • Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation What We’re Looking For: • In-depth understanding of common Machine Learning and Deep Learning algorithms, • Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking, • Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome, • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods, • Experience with PyTorch or other python-based deep learning frameworks, • Experience working with large data sets and deriving insights from data, • Experience mentoring and collaborating with others Education Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience Bonus Points • Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.), • PhD in machine learning, computer vision, or robotics vision, • Experience working on autonomous vehicles or related fields, • Experience in deploying models into real-world environments, • Strong programming skills in C++ and/or CUDA programming, • This opportunity can support remote work within the United States, with occasional travel. Working Conditions While performing the duties of this job, the employee is frequently required to convey and detect communication The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment The employee may occasionally move up to 50 pounds The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$146,000—$225,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on , , and _. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Summary QuEra Computing Inc. seeks a creative and collaborative Scientific Software Engineer to help solve the unique software challenges of integrating high-level applications into state-of-the-art neutral-atom quantum computers. You will have the opportunity to work with a vibrant scientific software team and a community of industry and academic collaborators and to help our growing team of diverse experts address fascinating challenges, ranging from classical compiler techniques to direct integration with low-level hardware components. Directly interacting with our compiler toolchain Kirin, you will be building QuEra’s multi-level hardware simulation tools across compiler pipeline together with experimental & computational physicists. This involves the development of new features and infrastructure for simulating hardware execution. You will be co-designing compilers and hardware simulation infrastructure for the next generation of quantum computing using cutting-edge neutral-atom and quantum error correction technologies. This new direction involves multiple new challenges in both engineering and science. Responsibilities • Develop and maintain a multi-level hardware virtual machine that emulates QuEra’s domain-specific language (DSL) for pulse-level programs and its associated compilation stack, • Support integration into control stack, • Collaborate with Quantum Error Correction (QEC) scientists and hardware control team to plan and simulate hardware features required for executing QEC algorithms, • Collaborate with other members of the scientific software team to perform gate-level and atom-move hardware simulation Qualifications • Masters in Computer Science with focus on quantum computation/architecture/programming language/compiler, or equivalent professional experience, • Enthusiastic about building tools used by non-software developers, • Experience with bytecode interpreters, CPython interpreter, • Experience with modern C/C++ projects and tooling around those projects, • Experience with hardware emulation and VM development, especially for novel/heterogeneous architectures, • Experience with Static Single Assignment intermediate representations-based compiler, • Knowledge of the full lifecycle of software development, including version control, code review, testing, CI/CD, logging, profiling, debugging, and documentation Preferred Qualifications • Ph.D. in Computer Science with focus on quantum computation/architecture/programming language/compiler, or equivalent professional experience, • Experience with compiled languages such as Rust, C++, Julia, • Experience with FPGA programming, • knowledge in quantum physics and AMO physics, • knowledge in quantum error correction, • Contribution to existing open-source libraries The approximate base salary range for this position is $102,400 - $166,400. We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires. QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. #LI-NB1

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us. The Role The Risk Automation ML team automates Risk and Compliance investigations and decision making at Block through the application of agentic and generative AI technology. We work globally with partners in Product, Engineering and Operations to ensure that we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform. We are leveraging agentic and generative AI as an integral part of our toolkit to fulfill our mission. Block's machine learning systems monitor billions of payment transactions across traditional payment and blockchain networks and surface suspicious activity (fraudulent, suspicious, illegal activity and brand violations) for trained Operations analyst review and decisioning. We are leveraging generative AI to accelerate historically manually intensive analyst workflows; by adding features in the investigative UX to accelerate agent productivity and enable them to make faster, more informed and accurate decisions (aka Copilots). We also automate workflows end to end completely eliminating the need for manual reviews (aka Autopilots). This is a new and significant opportunity to rethink and optimize Risk Operations at Block at scale. This is an IC role, but the senior level has significant leadership responsibilities that include owning, and driving strategic roadmaps & priorities to completion by collaborating with relevant cross functional stakeholders. (Work from anywhere: This role can be performed from any location in the United States and Canada) You Will • Experiment and deploy AI copilot and autopilot systems at scale to improve analyst productivity and/or eliminate manual decision loops altogether., • Own the end to end system including API calls to disparate data sources, advanced prompt tuning, orchestration, metrics and evaluation, productionization and monitoring., • Leverage diverse data sets that include payment transactions, connected users and asset graphs, unstructured text data and user profile information to build transformer based ML models to improve downstream detection tasks., • Work cross functionally with product, platform, engineering and operational stakeholders to deploy production grade systems and monitor and tune ongoing performance., • Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done., • Leverage agentic tools (Claude Code/Codex/Openclaw) to supercharge your research, development, devOps and documentation work as part of your day to day. You Have • 8+ years of Machine Learning modeling experience. Full stack ML experience is strongly preferred., • A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field., • 3+ yrs experience with AI engineering, Large language models, and a background in traditional NLP techniques is a strong plus for this role., • End to end experience of building and deploying ML/AI to production systems (batch and real time) that are performant at scale., • Experience of independently owning, influencing and driving programs with multiple cross functional stakeholders that have significant business impact., • Have a curious, growth-oriented mindset and the ability to think in first principles to identify creative solutions that demonstrate value. We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our _. Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location’s zone designation, please refer to this _. If a location of interest is not listed, please speak with a recruiter for additional information. Zone A: $228,700—$343,100 USD Zone B: $217,300—$325,900 USD Zone C: $205,900—$308,900 USD Zone D: $194,500—$291,700 USD

Job DescriptionPatent Litigator 🎯 Are you a patent litigator with a technical edge who wants more than just billable hours? Do you want to shape litigation product strategy for the fastest-growing AI company in IP? Do you want to own how we evolve the patent litigation product at a company that's rewriting the rules? This is your chance to join a rocket ship! 🚀 🏗️ About the role We are looking for a super smart and talented Patent Litigator to lead and build out our patent litigation capability as we launch Charts, our new patent litigation product. You'll be joining the most lean, talent-dense, and fast-moving legal team in London. You'll be responsible for: Conducting infringement and validity analysis across technical domains Advising on litigation risk and developing strategic recommendations for clients using the platform Working directly with the engineering and AI teams to shape how Charts handles litigation workflows Supporting patent prosecution-to-litigation handoffs across the IP lifecycle Contributing to product development by translating litigation expertise into platform features Managing relationships with outside counsel and coordinating multi-jurisdictional matters 👤 About you As our founding Patent Litigator, you will have extensive experience handling complex patent disputes through associate or senior associate roles at top-tier litigation firms. 3+ years of experience as an associate or senior associate in patent litigation Technical background — ideally a patent attorney who moved into patent litigation (technical field agnostic: life sciences, electronics, mechanical, etc.) Super smart, hard working, and high agency — the kind of person who thrives in fast-paced, ambiguous environments Experience at elite patent litigation firms (e.g. Quinn Emanuel, Kirkland & Ellis, or equivalent calibre) Strong analytical and strategic thinking with the ability to break down complex technical and legal issues Based in NYC or London Nice to have: Experience across both life sciences and non-life sciences patent matters Familiarity with AI/ML tools in legal workflows Prior experience at a startup or in-house legal team Dual-qualified or experience with cross-border patent disputes 💰 What we offer Competitive base salary depending on skill and experience. Significant equity — we want you to take ownership in Solve Intelligence and share in the success that lies ahead. Full visa sponsorship. Opportunity to work with a super smart and ambitious group of people building something people want. Private medical insurance. Free meals. 🚀 About Solve Intelligence Solve Intelligence is the fastest-growing startup transforming the IP landscape. Solve's AI platform manages everything from invention harvesting and patent generation through to litigation and licensing. Growth: 20–30% MoM revenue growth; selling to 400+ global IP teams across 6 continents (DLA Piper, tech giants, boutiques, etc); 8 figures of ARR — all just ~2 years since we started. Backing: $55M backing from YC, 20VC, Microsoft, Thomson Reuters, and the founders of top companies like Stripe, Perplexity, Tinder, Deel, Hugging Face, and Canva. Impact: 50–90% efficiency and quality improvements. See our latest Series B announcement. We're on a high-growth trajectory, and we're looking for people who want to join us on the journey to building a generational AI company. Come join the rocket ship 🚀 👥 Meet the founders Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM projects on GitHub. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading, before the company was acquired. Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College London, his masters at the University of Cambridge, and his PhD in machine learning at UCL, during which he published 10+ papers and won awards at top AI conferences and journals. Prior to founding Solve, Chris worked at The Alan Turing Institute, InstaDeep, and Dyson. Angus (Chief Technology Officer and co-founder): Angus holds an MEng in Computer Science. He led trade platform development at Coremont after roles at GCHQ and Qualcomm. Compensation Range: $150K - $250K

Job DescriptionDesign Engineer Are you passionate about design, and do you have great product taste? Are you looking to work on groundbreaking AI UI/UX projects? Do you want to be a major part of a rock-star team in a rapidly growing startup, collaborate with industry leaders, and make a real impact in the legal landscape? Do you want to have ownership in a startup building something people want with real paying users and significant traction? This is your chance to join a rocket ship! 🏗️ About the role The recent step-change in the performance of AI has unlocked products that you fundamentally could not build 18 months ago. The UX needed to build many of these products is yet to be determined. Chat is a good catch-all, but it is not optimal. There are so many open-ended questions. That is why now is the most exciting moment in the last 20 years to be building UX. We’re growing ~25% month-on-month. We’re moving extremely fast, and it’s incredibly exciting. We need a super talented designer with amazing taste for building clean, intuitive products. You will work directly with our founders, engineers, AI researchers, and attorneys to build beautiful products and invent new interfaces for humans to interact with AI. You will lead the design of interfaces, components, and UX flows across every part of our product suite. Additionally, you will lead much of our brand design and motion graphics for promoting our new products and features on social media and at conferences. You’ll be a Founding Member of a team building something people want. 👋 Who you’ll work with Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM GitHub projects. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading which deployed millions of capital before being acquired by Blockchain.com. Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College, masters at the University of Cambridge, and PhD at UCL, during which he published 10+ publications and won awards in top AI conferences and journals. He has worked in leading tech organisations, including Dyson, The Alan Turing Institute, and InstaDeep before its acquisition by BioNTech. Angus (Chief Technology Officer and co-founder): Angus did an MEng in Computer Science at the University of Bristol where he won a cyber security scholarship at GCHQ before working at Qualcomm. He then joined a London-based hedge fund, Coremont (Brevan Howard). There, he led a small team to build a greenfield trade processing platform which scaled to millions of trades per day. You’ll also work with the rest of our super talented team of AI researchers, software engineers, patent attorneys, and go-to-market experts. 🛠️ What you bring As our founding designer/design engineer you will have extensive experience designing UI/UX, branding, motion graphics promotional videos, and more. Must haves: Expert in Figma. Experience with Motion Graphics. We want to launch videos on social media promoting new features and products. An example of a great video of the kind we’d like to routinely publish is the ElevenLabs Series C announcement video: https://www.linkedin.com/posts/elevenlabsioweve-raised-a-180m-series-c-to-give-every-activity-7290776708985593857-5ENg?utmsource=share&utmmedium=memberdesktop Experience building clean, intuitive UI/UX for software products. Ability to get familiar with a technical product and autonomously innovate new UI/UX in an ambiguous setting. Nice to haves: Experience with other design suites (e.g. Adobe) and animation (e.g. Lottie). Experience with AI. 🎁 What we offer Competitive base salary depending on skill and experience. Significant equity; we want you to take ownership in Solve Intelligence and share in the success that lies ahead. Full visa sponsorship. Opportunity to work with a super smart and ambitious group of people building something people want. Private medical insurance. Free meals. Compensation Range: $70K - $150K

Job DescriptionAmerican Straight A Academy (ASAA) Part-Time Remote High School Science Teachers Wanted Teach globally. Work flexibly. Join a fast-growing international online school delivering American high school education to students worldwide. Open Subjects (High School Level) AP Physics Class Schedule (Eastern Time) Option 1: Mon / Wed/Friday 7:00 AM to 9:30 AM Option 2: Tue / Thu 7:00 AM to 9:30 AM Flexible Commitment No upper limit. Teaching hours depend on teacher availability within the schedule options above. Role Overview Teach engaging 1-on-1 or small group (26 students) online classes Deliver lessons using structured teaching materials (textbooks, slides, etc.) Track student progress and submit timely post-class feedback Requirements Bachelors degree or above (Masters preferred) At least 1 year of teaching experience in a related subject area (high school experience preferred) Strong communication skills and a professional teaching attitude Reliable, punctual, and consistent in teaching delivery Contact Emily.liu@asaaeducation.com This is a remote position.

Job DescriptionSenior Market Risk - Distressed Debt Market risk leadership position supporting the credit trading/distressed team of an international investment bank Responsibilities: • Effectively risk manage all relevant risk factors inherent to the trading of distressed instruments (market risk, legal risk, idiosyncratic and restructuring risk), • Conduct quantitative and qualitative risk analysis on distressed debt instruments both prior to and post trade execution, • Provide recommendations and analysis on risk mitigation strategies, • Proactively assess positions including deep dive investigations of large P&L and/or risk movements, and quantify existing and new risks while providing cogent commentary to senior stakeholders., • Assist in the definition, review and implementation of limits and ensure risk is well monitored and reported., • Participate in the development of new and enhanced risk tools, • Perform impact analysis of new models including testing for valuation and risk across the HY book(s), • Develop and compute Stress‐test scenarios and analyze the results., • Ensure updated and relevant reserves and Prudent Valuation methodologies are in place. Requirements: • Relevant quantitative market risk management experience, • Strong knowledge of fundamental credit analysis and/or financial modelling skills gained from prior experience within corporate credit analysis., • Strong knowledge of restructuring process and associated trading strategies, • Understanding quantitative risk measures and related modeling / methodology, • Ability to understand, identify, and communicate key risks associated with a variety of processes and transaction structures., • Experience in credit trading (High Yield Cash/CDS) preferred, • Masters degree in a quantitative discipline (e.g., statistics, physics, math) For immediate consideration, please forward resume and contact details to: info@ashtonlanegroup.com Ashton Lane Group is a boutique executive recruitment firm serving the Banking, Insurance, and Alternative Investment sectors. For the latest opportunities, visit www.AshtonLaneGroup.com Ashton Lane Group® “A trusted advisor throughout your career”

Job DescriptionAI Trainer - Physics Specialist (Remote Advisory)About Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We are seeking AI Trainers – Physics Specialist to join our expert B2B and AI research network. Our work supports global organizations with high‑level corporate intelligence, and we rely on executive‑level expertise to validate complex Materials Science and Graphical Abstract data. Please note: This is an invitation to join our expert talent pool. Participation in individual projects is not guaranteed and will depend on client demand and profile fit. Researchers who require your expertise typically pay $40+/hr. You should be prepared to complete paid tasks that require up to one hour of uninterrupted focus, though many assignments are shorter. What you'll bring Specialized knowledge: Deep expertise in Deep expertise in Physics & a Masters Degree or higher in a related field. • Experience of fact checking or AI related tasks Professional profile: A verifiable LinkedIn presence or professional history Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer What you'll be doing in the role • Strategic document audit: Review Physics papers and a graphical abstract that summarizes the paper generated by an LLM. Check and identify issues where the graphical abstract doesn't accurately represent the scientific paper., • Improving cutting-edge AI modelsWhy Prolific is a great platform to join as a Participant Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Job Description Are you a high-agency, ambitious person looking to work on groundbreaking projects? Do you want to be a major part of a rock-star team in a rapidly growing startup, collaborate with industry leaders, and make a real impact in the AI-for-legal landscape? Do you want to have ownership in a startup building something people want with significant traction? This is your chance to join a rocket ship! 🏗️ About the role We are looking for a smart, high-agency individual with frontend-leaning software engineering experience to lead our product growth efforts. You’ll operate at the intersection of engineering, product, and marketing. You’ll work across the full range of metrics, including product usage analysis, product engagement, user acquisition, pipeline optimization, and more. You’ll be responsible for: Product usage analysis: Use dashboards (Posthog, Grafana, Datadog, etc.) to analyze usage behaviour and patterns, and then use that to (1) steer our top-of-funnel growth marketing and (2) drive engagement across our existing customer base. Top-of-funnel optimization: Come up with novel ways to build top-of-funnel pipeline, and run creative experiments to build top-of-funnel (embed product features in SEO blog posts, track the performance of our paid ads, conferences, events, etc.). Usage optimization: Develop workflows to flag unengaged users and experiment with strategies to drive more engagement. Metric strategy: Work with us to define the key metrics we should be optimizing for. Revenue & pipeline optimization: Help us optimize each step in our pipeline pre- and post-sale. 👋 Who you’ll work with Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM GitHub projects. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading which deployed millions of capital before being acquired by Blockchain.com. Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College, masters at the University of Cambridge, and PhD at UCL, during which he published 10+ publications and won awards in top AI conferences and journals. He has worked in leading tech organisations, including Dyson, The Alan Turing Institute, and InstaDeep before its acquisition by BioNTech. Angus (Chief Technology Officer and co-founder): Angus did an MEng in Computer Science at the University of Bristol where he won a cyber security scholarship at GCHQ before working at Qualcomm. He then joined a London-based hedge fund, Coremont (Brevan Howard). There, he led a small team to build a greenfield trade processing platform which scaled to millions of trades per day. You’ll also work with the rest of our super talented team of AI researchers, software engineers, patent attorneys, and go-to-market experts. 🛠️ What you bring As our Founding Growth Engineer, you will be a driven, ambitious, and high-agency individual looking to have a big impact on the trajectory of a fast-growing AI startup’s product and growth. You might be a technical ex-founder or software engineer looking for high autonomy and the opportunity to have a significant impact. Must haves: Strong frontend-leaning engineering skills. Strong product sense. Interest in growth and the business side of things. Preferred haves: Experience with product analytics tools (e.g. Posthog, Datadog, Grafana, etc.). Experience with launching or growing products. 🎁 What we offer Competitive base salary depending on skill and experience. Equity; we want you to take ownership in Solve Intelligence and share in the success that lies ahead. Full visa sponsorship. Opportunity to work with a super smart and ambitious group of people building something people want. Private medical insurance. Free meals. Compensation Range: $100K - $250K

Job DescriptionSalary: $68,902 $95,000 Join a School Where We Build, Learn, and Grow Together About Innovation Charter High School At Innovation Charter High School, we believe schools can be places where young people are deeply known, challenged, and prepared to shape their futures, and where educators do some of the most meaningful work of their careers. We are a mission-driven public charter high school in New York City serving students with ambition, care, and urgency. Our team is fiercely committed to improving student outcomes and continuously strengthening the school we are building together. This is a place for educators who believe: • Feedback is essential to growth, for students and adults, • Curiosity is a driver of strong teaching and learning, • Great schools are built through reflection, collaboration, and persistence, • Students thrive when adults hold high expectations and provide deep support, • Supporting one another as a community and showing up as strong team players matters just as much as individual excellence We are not interested in maintaining the status quo. We are actively working to create new ways of supporting students and new ways of working together as colleagues. That takes humility, experimentation, resilience, and heart. Our staff cares deeply. We challenge one another. We learn in public. We keep improving. If you are energized by joining a dedicated team that is building toward something better, for students and for each other, wed love to meet you. About the Role Teach Biology, Chemistry, Physics, or Earth Science in an Integrated Co-Teaching (ICT) classroom with a focus on inquiry, experimentation, and Regents preparation. In this role, you will partner closely with special education teachers, families, and student support teams to ensure students with and without IEPs access rigorous instruction, feel known and supported, and make meaningful academic and social-emotional growth. This role is ideal for an educator who believes all students deserve access to rigorous, engaging science instruction and who is committed to building classrooms rooted in curiosity, belonging, and high expectations. What Youll Do Deliver Inclusive, Rigorous Science Instruction • Teach Biology, Chemistry, Physics, or Earth & Space Science in an ICT classroom through engaging, inquiry-driven instruction aligned to NYS standards and Regents expectations, • Facilitate hands-on labs, experiments, and scientific investigations that build curiosity, critical thinking, and real-world application, • Strengthen students scientific reasoning, data analysis, problem-solving, and academic language skills, • Use student data, assessments, and observation to adjust instruction and support student growth, • Prepare students for success on Regents exams while cultivating confidence, independence, and a sense of belonging in science classrooms Contribute to a Collaborative Adult Culture • Engage actively in feedback, coaching, and professional learning, • Collaborate with colleagues to improve practice and student outcomes, • Contribute to a culture of reflection, curiosity, and continuous improvement, • Help create classrooms and a school community rooted in belonging, safety, and high expectations Who Thrives Here You may be a strong fit if you are: • A relationship-centered educator with unwavering belief in students, • A reflective practitioner who seeks and uses feedback, • A collaborator who enjoys co-planning and shared problem-solving, • A teacher who balances structure, compassion, and rigor, • Someone energized by building and improving, not just inheriting finished systems, • Committed to educational equity and serving diverse learners in NYC public schools, • Someone who is willing to adapt high quality instructional materials (HQIM) to meet the needs of your students. QUALIFICATIONS Required: • Valid New York State Teaching Certification in a secondary Science content area (Grades 712), or currently on an approved pathway toward certification Bachelors degree required Strongly Preferred: • Masters degree in Special Education or related field, • 3+ years of teaching experience, ideally in New York City schools or urban public/charter settings, • Experience supporting adolescents with IEPs in inclusion settings, • Familiarity with Regents-aligned instruction, Common Core standards, and NYC special education systems (including SESIS), • Experience using assessment data to inform instruction and intervention Compensation & Benefits This is a full-time position with a salary range of $68,902 $95,000 (based on certification level and experience). Innovation teachers certified in New York State receive a highly competitive compensation package. Uncertified teachers receive competitive compensation with increases upon certification. Benefits include: • Medical, dental, and vision coverage, • 401(k) with up to 5% employer match, • Life insurance, • Professional development and coaching, • A collaborative team deeply committed to growth and support Why Join Innovation Youll join a school where: • Your voice and ideas matter, • Coaching and feedback are part of the culture, • People work hard, care deeply, and keep learning, • Students are at the center of every decision, • You can help shape what the school becomes Please apply online and visit our website to see all of our open roles: https://www.innovationhighschool.org/careers/

Job DescriptionCustomer Support Specialist Are you the kind of person who genuinely enjoys solving problems, and wants to do it inside a company that's moving fast? Do you want to shape a function as it's being built, learn how a real AI product works, and be in the room when decisions get made? This is your chance to join a rocket ship. 🚀 🏗️ About the role We are looking for sharp, high-agency people to be the first line of support for our customers. You'll be joining the most lean, talent-dense, and fast-moving teams working alongside our attorneys, AI engineers, and GTM team to keep the bar on customer experience extraordinarily high. Our customers are patent attorneys at top law firms and in-house IP teams at some of the largest companies in the world. They are demanding, technical, and short on time. Today, a lot of their support tickets land on the desks of attorneys and engineers who should be building product. That doesn't scale, and it doesn't give customers the speed they deserve. You will fix that. You'll be responsible for: Owning the first response on every inbound support ticket, across email, in-app chat, and Slack Connect channels. Resolving the bulk of incoming tickets yourself: login issues, browser problems, account configuration, basic product questions, and walk-throughs of how to use Solve. Triaging and routing complex tickets to the right attorney, AI engineer, or GTM owner with enough context that they can act immediately. Building the playbook: writing the help docs, recording Loom walk-throughs, and turning recurring questions into self-serve answers so customers stop needing to ask. Feeding customer insights back into the product. You'll be sitting on the patterns nobody else sees, and we want you in the room when we decide what to fix next. Working closely with our customer-facing attorneys and CSMs to make sure customers feel looked after end to end. Helping us figure out what good customer support looks like at Solve, then making it real. This is a dedicated customer support role, the first of its kind at Solve. Some of the work is genuinely grunt work. The trade is that you get to shape how customer support runs at Solve, in a company where every hire is treated as a multiplier. 👤 About you We're open about your background. We’ve identified two profiles that may work well for this role: Engineering graduates or early-career engineers who want to support client success, triage requests with real technical depth, and use their engineering skills to accelerate Solve. Paralegals or legal operations specialists with IP or patent exposure, comfortable in technical environments, and ready to build something with real ownership. The common thread is having a builder mentality. You should be the kind of person who fixes the thing rather than logs it. Essential: Genuine interest in customer experience, and evidence you've cared about it before. This might be a startup you've worked at, a side project, or a role where you've owned support, customer success, or service delivery directly. Strong written communication. Most of your work will be written, and our customers are precise about language. High agency. You spot the gap, you close it. You don't wait for someone to tell you what to do. The ability to hold a high bar under pressure. Some tickets will be from senior partners at top firms. They expect speed, accuracy, and tone calibration. Nice to have: Paralegal qualifications or experience inside a patent practice (USPTO, EPO, or UK). Or a computer science, engineering, or hard-science degree. Experience with support tooling (Intercom, Zendesk, Linear, Pylon, or similar). Familiarity with AI products, prompt design, or evaluation workflows. Comfort with technical products. You don't need to code, but you need to be able to read a stack trace, understand what a browser console is telling you, and learn the inner workings of a complex SaaS product quickly. 💰 What we offer Competitive base salary depending on skill and experience. Significant equity — we want you to take ownership in Solve Intelligence and share in the success that lies ahead. Full visa sponsorship. Opportunity to work with a super smart and ambitious group of people building something people want. Private medical insurance. Free meals. 🚀 About Solve Intelligence Solve Intelligence is the fastest-growing startup transforming the IP landscape. Solve's AI platform manages everything from invention harvesting and patent generation through to litigation and licensing. Growth: 20–30% MoM revenue growth; selling to 600+ global IP teams across 6 continents (DLA Piper, tech giants, boutiques, etc); 8 figures of ARR — all just ~2 years since we started. Backing: $55M backing from YC, 20VC, Microsoft, Thomson Reuters, and the founders of top companies like Stripe, Perplexity, Tinder, Deel, Hugging Face, and Canva. Impact: 50–90% efficiency and quality improvements. See our latest Series B announcement. We're on a high-growth trajectory, and we're looking for people who want to join us on the journey to building a generational AI company. Come join the rocket ship 🚀 👥 Meet the founders Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM projects on GitHub. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading, before the company was acquired. Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College London, his masters at the University of Cambridge, and his PhD in machine learning at UCL, during which he published 10+ papers and won awards at top AI conferences and journals. Prior to founding Solve, Chris worked at The Alan Turing Institute, InstaDeep, and Dyson. Angus (Chief Technology Officer and co-founder): Angus holds an MEng in Computer Science. He led trade platform development at Coremont after roles at GCHQ and Qualcomm. Compensation Range: £50K - £65K

Job DescriptionMotion Designer Are you passionate about AI and eager to work on groundbreaking projects? Do you want to be a major part of a rock-star team in a rapidly growing startup, collaborate with industry leaders, and make a real impact in the legal landscape? Do you want ownership in a startup building something people want with real paying users and significant traction? Here's your chance! 🏗️ About the role 24 months since we launched, we’re already adding 7 figures of ARR per month. We’ve built a rockstar team of engineers, AI researchers, and patent attorneys. We’re now looking for a super-talented, high-energy, and ambitious Motion Graphics Designer to play a key role in our company’s growth and product launches. You will lead our social media motion graphics promotions. You will lead our social media and conference motion graphics promotions, while working closely with our design, GTM, and product teams. In this role, you will: Develop a user-centric motion design system that scales to all products within our platform. Work closely with our design, GTM, and product teams to bring scripts to life. Partner with our design team to animate assets that can be embedded into the product experience. QA work to ensure designs and creative assets are polished, on brand, and ready for release. Help us execute efficiently to ship products that deliver value and impact for our customers. 👋 Who you’ll work with Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM GitHub projects. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading which deployed millions of capital before being acquired by Blockchain.com. Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College, masters at the University of Cambridge, and PhD at UCL, during which he published 10+ publications and won awards in top AI conferences and journals. He has worked in leading tech organisations, including Dyson, The Alan Turing Institute, and InstaDeep before its acquisition by BioNTech. Angus (Chief Technology Officer and co-founder): Angus did an MEng in Computer Science at the University of Bristol where he won a cyber security scholarship at GCHQ before working at Qualcomm. He then joined a London-based hedge fund, Coremont (Brevan Howard). There, he led a small team to build a greenfield trade processing platform which scaled to millions of trades per day. You’ll also work with the rest of our super talented team of AI researchers, software engineers, patent attorneys, and go-to-market experts. 🚀 Who you are We are a young company of highly motivated, ambitious, and hard-working individuals building a billion-dollar business. Our fundamental motivation is to build a state-of-the-art AI product to assist humans in generating intellectual property and to have mass market adoption of our software. To thrive in this environment, you’ll have the following characteristics: You’re motivated to move fast - you prioritise speed, are always itching to move faster, and want to close deals on the order of days, not weeks or months. You’re passionate about mass adoption of AI - we’re at the beginning of an exponential curve, and we want to take the latest AI technology and build it into a useful product as quickly as possible. You’re a driven individual with a strong work ethic - our team is committed to going the extra mile, even if it means working long nights and weekends to achieve our goals. You strive for excellence in every aspect of your work - you take ownership of your outcomes and overdeliver on your goals. You’re humble, eager to learn whatever it takes to help your team and customers succeed, and an optimist who thrives in a positive environment. 🛠️ What you bring As our first Motion Designer, you will have extensive experience with motion graphics. Must haves: 3+ years of experience with Motion Graphics. You must be able to create videos of the quality that, e.g. ElevenLabs regularly release (see e.g. their Series C announcement video: https://www.linkedin.com/posts/elevenlabsioweve-raised-a-180m-series-c-to-give-every-activity-7290776708985593857-5ENg?utmsource=share&utmmedium=memberdesktop). Your ability to create such videos should be evidenced by your previous work/portfolio. Ability to turn very technical products and features into highly engaging, intuitive, and professional motion graphics and animations. Ability to deal in an often ambiguous environment. Self-directed, solution-oriented, and ability to work autonomously. Strong written and verbal communication skills. Ability to use motion to narrate user experience based on users' behaviors, needs, and emotions. Exceptional process thinker and problem solver. Demonstrates a strong foundation in basic animation principles, often related to physics and patterns. Master in After Effects and Figma. Low ego, collaborative, positive attitude, and open-minded. Creative thinking toward establishing and executing on the vision for team initiatives. Preferred haves: Experience working on branding, growth, social media, and promotional videos. Experience with other animation apps such as Rive and Lottie. Nice to have: Entrepreneurial experience (side projects/hustles, early stage startups, interesting or unusual hobbies). Experience using AI products. 🎁 What we offer Competitive total comp (base + commission). Upside on commission is unlimited. Equity; we want you to take ownership in Solve Intelligence and share in the success that lies ahead. Full visa sponsorship. Opportunity to work with a super smart and ambitious group of people building something people want. Private medical insurance. Free meals. Compensation Range: $90K - $150K