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Job Description Are you looking for a meaningful role in behavioral health and have the desire to work with an organization that puts people first? If you have a passion for helping others along their recovery journey, then we invite you to join our Crestwood family! For more than 50+ years Crestwood has been committed to creating innovative recovery programs and developing compassionate communities that support each client in their journey. Our model of care focuses on a personal and self-directed process that empowers the people we serve and helps them to develop the skills to thrive! Title: Director of Recreation | Recreation Therapist Job Duties: The role of the Director of Recreation is to create and lead the recreational program with recreational activities, hobby & interest building, physical activities, and other events & holidays throughout the year. In our holistic approach, recreation is just one facet of the wellness of our clients, along with behavioral skill building, medication support, dietary teaching, and pre-vocational training. Our overall goal is to support our clients to create lives worth living and be successful as independents in their community. Schedule: Full Time Qualifications: • Must have a bachelor's degree as an occupational therapist, music therapist, dance therapist, art therapist, or recreation therapist., • Must be registered or eligible for registration as an occupational therapist, music therapist, dance therapist, art therapist, or recreation therapist., • Must have a valid California driver's license., • A current CPR certification is preferred., • Medical, Dental, and Vision Coverage, • Life Insurance, • Vacation, • Paid Sick Leave, • Sick Leave Buy Back, • 401(k) Retirement, • Scholarship Program, • Qualifying Supervision for BBS Associates, • Competitive Pay, • Paid Holidays, • Service Awards It's About Growth! Our employees are our most valuable assets. Did you know that at Crestwood you can gain experience at one of California's leading behavioral health service providers? We deliver industry leading education and training that allows our team members to succeed and continue to grow their careers with Crestwood. Check out our Career Page to learn more about being a part the Crestwood Family and the benefits available. Crestwood is proud to be an Equal Opportunity Employer that is committed to inclusion, equity and diversity. We embrace all differences and are fully committed to fostering a sense of belonging for everyone. We also take affirmative action to offer employment and advancement opportunities to all qualified applicants without regard to race, color, religion, age, sex, national origin, disability status, veteran status, sexual orientation, pregnancy, marital status, gender identity or expression, or any other characteristic protected by federal, state, or local laws. If you need assistance and/or a reasonable accommodation due to ability during the application or recruiting process, please talk with your hiring contact/recruiter or send a request to . Employment is contingent upon successful completion of a background investigation including criminal history and identity check. Pursuant to the California Consumer Privacy Act (CCPA), please review this link to provide information on how we collect and use your data. Crestwood is required to participate in the E-Verify program. To learn more, please see: E-Verify Participation, Right to Work notices, or visit .

Job DescriptionSalary: $20/hr. Do you enjoy working with kids and want to explore a future in education? RAFT is looking for enthusiastic Camp Counselor to support campers and instructors in creating a safe, engaging, and dynamic learning environment. Perfect for high school or college students considering a teaching career, this role offers valuable hands-on experience while inspiring young learners to explore science, technology, engineering, art, and math (STEAM). What Youll Do • Help set up and clean up daily hands-on activities., • Support teachers in guiding campers focus and ensuring smooth transitions between lessons., • Foster a positive, collaborative atmosphere among campers., • Keep the classroom organized by replenishing supplies and helping lead staff move materials to and from central storage., • Package and store reusable materials at the end of each week., • Complete at least 9 hours of onboarding, professional development, and staff meetings before camp begins., • Participate in after-camp debrief sessions., • Be attentive to the needs of campers and staff, assisting with issues as they arise., • Help organize and collect pre- and post-camp student surveys., • Take on other related responsibilities as needed., • Supervise outdoor activities, ensuring camper safety at all times., • Serve as a positive role model and mentor, encouraging interest in STEAM careers., • Monitor campers during transitions and breaks to maintain a secure environment. What Were Looking For • Genuine interest and experience working with young children in educational or childcare settings., • Availability for at least one full week, Monday through Friday, for either:, • Full day: 8:00 a.m.4:30 p.m., • Half day: AM 7:4512:30 or PM 12:005:00., • Flexibility and adaptability in a fast-paced, hands-on learning environment., • Proactive problem-solving skills, reliability, and a collaborative spirit., • Strong professionalism to complete training and assigned tasks with excellence., • Must obtain TB Risk Assessment and fingerprint clearance (paid for by RAFT)., • Upper high school or college student., • Prior experience as a camp counselor or youth leader preferred., • Demonstrated leadership skills. Why Join RAFT's STEAM Camp? At RAFT, we believe in sparking curiosity and building confidence through creative, hands-on STEAM learning. As a Camp Counselor, youll gain valuable experience, develop leadership skills, and make a real difference in the lives of young learners, all while having fun and being part of a supportive team.

Job Description About Coresite: At CoreSite, we empower a more connected future through high-performance data centers and interconnection solutions. Recognized as a trusted partner in digital transformation, our strategically located facilities and innovative services enable businesses to connect, collaborate, and grow in an ever-evolving technological landscape. Our culture is defined by operational excellence and a relentless drive for innovation. We foster a collaborative environment where every team member is valued, wins are celebrated as a team, and ownership is part of our DNA. At CoreSite, we’re not just building state-of-the-art infrastructure—we’re creating a community of forward-thinkers committed to solving complex challenges and delivering exceptional customer experiences. At CoreSite not only are we Committed to Excellence, but we also Build Connections, Own It, Do the Right Thing, Have Fun, and Win as a Team. Join us and be part of a team that is shaping the future of digital infrastructure while nurturing your professional growth and success. Senior Sales Engineer Role: The Senior Sales Engineer is responsible for leading the technology evaluation and solution design stages of the sales process and serves as the primary technical advisor and product advocate in close collaboration with the Sales team. This role ensures that CoreSite’s products and service offerings align with customer requirements to drive value and deal success. The Senor Sales Engineer must be able to articulate technical concepts and product positioning to both business and technical stakeholders, while identifying and resolving all technical issues within assigned accounts to ensure complete customer satisfaction and continuity throughout all stages of the sales process. The Senior Sales Engineer evaluates customer requirements and business processes to prepare, present, and promote tailored business solutions, while ensuring the quality and integrity of the overall sales process to support proper implementation and deal profitability. This role requires proficiency in both business operations and the technical aspects of datacenter infrastructure, including mechanical and electrical systems, as well as IP transit and carrier networking. Duties: Customer Engagement • Participate in customer-facing meetings to align strategic objectives and determine business and technical requirements for tailored solution development., • Drive customer confidence and acceptance by articulating value through demonstrated cost savings and operational efficiencies., • Manage assigned accounts and opportunities, ensuring ongoing customer satisfaction, retention, and account growth., • Evaluate customer deployment requests against CoreSite’s data center deployment criteria to determine feasibility., • Prepare and deliver technical proposals, analysis, and architectural design overviews for existing and potential customers., • Lead in-depth product and solution discussions, clearly communicating features and benefits aligned with CoreSite’s service offerings., • Conduct comprehensive assessments of customer IT environments, including network, power, cooling, and space, and design tailored solutions, including on-site walkthroughs., • Develop deep technical expertise in CoreSite’s infrastructure to optimize space and power utilization and propose future improvements., • Prepare cost estimates by both studying blueprints, drawings, and customer-provided documentation, and by consulting with other technical experts as needed., • Promote core space/power solutions and interconnection services (e.g., OCX, Any2), ensuring competitive, value-driven designs that support deal conversion., • Perform technical qualification by actively listening and asking thoughtful, strategic questions to uncover customer needs, technical requirements, and solution readiness., • Develop and maintain deep technical expertise in electrical and mechanical design, built capacity, and design capacity of each computer room, including space, cooling, power, and distribution., • Manage and optimize designs while maximizing leasable square footage., • Select panels for dedicated, shared, and power-through-portal deals, monitoring and managing the case queue daily., • Track panel quantity and balance Power Distribution Units (PDUs) at the computer room level to maintain efficiency and redundancy., • Optimize rack placement and power density to achieve capacity goals for each computer room., • Monitor remaining capacity of each computer room by tracking new leases and customer churn, using CIM reports as a guide, and maintaining ownership of capacity definitions in partnership with CIM., • Partner with Sales teams to define, position, and design tailored technology solutions that meet customer needs and business objectives., • Collaborate on RFP/RFI responses and proposal development. Knowledge, Skills & Abilities: • Ability to thrive in a hybrid work model, with regular onsite presence of up to four days per week., • Ability to travel up to 25%, with the potential for increased travel or in-office presence as business needs evolve, • Strong, in-depth knowledge of data center infrastructure, including mechanical and electrical systems, cloud services, storage technologies, and networking technologies such as multi-gigabit Ethernet and optical solutions, multi-protocol and converged services, IP VPN (MPLS), and Internet/VOIP services., • Strategic and customer-facing, with the ability to identify market opportunities, communicate technical concepts to both technical and non-technical audiences, and guide customers and internal teams toward scalable, efficient solutions., • Exceptional communication, collaboration, and interpersonal skills with the ability to write clearly, present effectively, and build trusted relationships across teams, customers, and vendors., • Self-motivated, highly organized, and results-driven, with strong problem-solving skills and the initiative to manage multiple complex projects, meet deadlines, and deliver high-quality outcomes., • Capable of delivering effective presentations and developing clear documentation, training materials, and technical proposals., • Bachelor's degree in a technical field preferred, or equivalent combination of education and experience., • 5+ years of experience in Sales Engineering, Systems Engineering, or a related IT field., • Data center industry experience strongly preferred. . The physical demands described are representative of those that must be met by an employee to successfully perform the job’s essential functions. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the job’s duties, the employee is occasionally required to stand, walk, sit, use hands to handle or feel objects, reach with hands and arms, climb stairs, balance, stoop or kneel, talk, and hear. The employee must occasionally lift and/or move objects weighing up to 25 pounds. Compensation: Compensation for this role includes a base salary between $149,000 to $155.000 annually. This role is also eligible for an annual bonus and equity, based upon individual and company performance. Benefits Not only does CoreSite have a fun, team-focused work environment, but we also offer great benefits to all employees regularly scheduled to work more than 20 hours a week! • First-day medical insurance through Cigna with generous premium cost coverage, • Dental insurance through Delta Dental, • Vision insurance through VSP, • Telemedicine through MDLive for Cigna, • Healthcare and dependent care flexible spending account (FSA) plans, • Health saving account (HSA) plans for employees participating in the High Deductible Health Plan, • Life, AD&D, short-term disability, and long-term disability insurance fully paid by the company, • Voluntary coverage benefits for supplemental life, critical illness, accident, and hospital insurance, • First-day eligibility for 401(k) savings plan through Fidelity, which includes an attractive matching company contribution with a 5% company match, • Discretionary annual bonus and equity incentive plan, • Employee stock purchase plan (ESPP) with a 15% discount, • 16 days of paid time off (PTO)11 paid company holidays and additional floating holidays, • Additional paid time off for school events, elder care, volunteering, bereavement, jury duty, voting, parental leave and disability leave, • Free parking or a company contribution toward a public transit pass Additional Perks • Wellness Reimbursement Program: Yearly stipend of $500 for employees and $300 for dependents, up to $800 total for the family, • Wellness Incentive Program: Participate in various wellbeing activities to earn up to $450 per year in cash incentives, • Technology Stipend: $100 monthly stipend., • Educational Reimbursement Program: Work-related learning and development with reimbursement on qualifying degree programs, up to $5,250 per year, • Giving Back: Charitable donation matches up to $5,000 per year and nominate organizations for Company Foundation grants, • Financial Management: Access to financial coaching, digital tools and services to manage and pay student loan debt quicker, • Pet Insurance: Keep your furry friends healthy and happy, • Family Planning: Benefits and services related to fertility, pregnancy, menopause, adoption and surrogacy, • Employee Assistance Program: 24x7 service to support family, work, money, health, legal and life challenges, • Counseling and Caregiving Programs: Including access to mental health services, licensed counselors, and caregiving tools including membership for finding care., • Referral Bonus: Receive a $3,000 cash bonus if referred candidate is hired and meets eligibility requirements, • Discounts: Discounts, cash back offers and perks on thousands of brands, • LinkedIn Learning Membership: Support your development when accessing LinkedIn’s online library of courses and videos General Statements - Applicants must be currently authorized to work in the United States on a full-time basis. The employer will not sponsor applicants for work visas. Please note that all offers of employment are contingent upon the successful completion of a background check and, where permitted by law, a 5-panel drug test conducted after the offer letter is signed, which will screen for THC, opiates, PCP, cocaine, and amphetamines. Thank you for your understanding and cooperation. Applicant Privacy Notice: CoreSite is committed to protecting the privacy and security of personal information submitted by applicants. The California Consumer Privacy Act (CCPA) requires us to provide you information about our personal information handling practices. As a result, we’re providing this Privacy Notice that describes how we collect, use, share, and update personal information from individuals who wish to be considered for employment with CoreSite. To read the Applicant Privacy Notice, please go to . Unauthorized reproduction or distribution of this job posting on external sites is prohibited without prior written consent from CoreSite. We are not responsible for any postings or offers not originating from our official channels or approved partners.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: CoreWeave is looking for a Director of Engineering to own and scale our next-generation Large Scale Training Platform. In this highly technical, strategic role, you will lead a world-class engineering organization to design, build, and operate the fastest, most cost-efficient, and most reliable GPU training services in the industry. Your charter spans everything from distributed training frameworks (e.g., Megatron-LM, DeepSpeed, PyTorch FSDP, Horovod) and large-scale data pipelines to checkpointing, fault tolerance, and developer-friendly APIs - all delivered on CoreWeave's unique accelerated-compute infrastructure. About the role: • Vision & Roadmap - Define and continuously refine the end-to-end Training Platform roadmap, prioritizing scalability, throughput, and cost optimization for training the largest AI models. Set technical standards for distributed training frameworks, model/data parallelism strategies, mixed-precision techniques (FP8, BF16), and advanced checkpointing/restart mechanisms., • Platform Architecture - Design and implement a Kubernetes-native training control plane capable of managing multi-thousand GPU jobs with high reliability and efficiency. Build solutions for elastic distributed training, including job-aware autoscaling, dynamic GPU allocation, and multi-node communication optimizations using NCCL, SHARP, and RDMA. Integrate data pipeline optimizations, such as caching layers, streaming datasets, and sharded data loading to eliminate I/O bottlenecks. Implement state-of-the-art distributed training optimizations—including tensor/sequence parallelism, pipeline parallelism, optimizer sharding, activation checkpointing, and gradient compression—to push the limits of performance and scale., • Operational Excellence - Establish SLOs/SLA dashboards, real-time observability, and self-healing mechanisms for thousands of concurrent training jobs across multiple regions. Develop cost-performance trade-off tooling that enables customers to seamlessly select hardware configurations that minimize time-to-train while optimizing for cost. Build robust fault tolerance and automatic recovery workflows to handle large-scale preemption, checkpoint failures, or data pipeline interruptions., • Leadership - Hire, mentor, and grow a diverse team of engineers and managers passionate about building the world's leading AI training platform. Foster a customer-obsessed, metrics-driven engineering culture with crisp design reviews, deep technical rigor, and blameless post-mortems., • Collaboration - Partner closely with Product, Orchestration, Networking, and Storage teams to deliver a unified CoreWeave experience. Work directly with flagship customers training frontier models to gather feedback, optimize workflows, and shape the platform roadmap.Who You Are:, • 10+ years building large-scale distributed systems or HPC/cloud services, with 5+ years leading engineering teams., • Proven success delivering mission-critical distributed training platforms or large-scale ML pipelines., • Deep understanding of GPU/CPU resource allocation, NUMA-aware scheduling, interconnect topologies (NVLink, InfiniBand), and large-scale data handling., • Experience with data, model, tensor, and pipeline parallelism, and advanced optimizer techniques for training massive models., • Background in scaling pretraining of LLMs or multimodal models to thousands of GPUs., • Excellent communicator capable of translating complex engineering trade-offs into clear business outcomes., • Experience operating multi-region training clusters for hyperscalers or large AI labs., • Familiarity with open-source ML training frameworks (e.g., DeepSpeed, FSDP, Alpa, MosaicML). At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. Within the Human Interactive Driving division, the Extreme Performance Intelligent Control department is working to develop scalable, human-like driving intelligence by learning from expert human drivers. This project focuses on creating a configurable, data-driven world model that serves as a foundation for intelligent, multi-agent reasoning in dynamic driving environments. By tightly integrating advances in perception, world modeling, and model-based reinforcement learning, we aim to overcome the limitations of more compartmentalized, rule-based approaches. The end goal is to enable robust, adaptable, and interpretable driving policies that generalize across tasks, sensor modalities, and public road scenarios—delivering ground-breaking improvements for ADAS, autonomous systems, and simulation-driven software development. We are seeking a forward-thinking Research Scientist to focus on inferring latent state representations from sensor data, powering world models, and supporting rigorous policy evaluation for autonomous vehicles. This role spans raw perception and structured representations, enabling both high-fidelity predictive modeling and reliable policy assessment in simulated or learned environments. You will work closely with researchers developing world models and those focused on policy evaluation, ensuring that the latent states inferred from real-world sensors are semantically rich, temporally coherent, and suitable for both long-horizon prediction and counterfactual analysis.Responsibilities • Design and train learning-based systems that transform raw multimodal sensor data (e.g., images, lidar, radar) into compact, dynamic latent states suitable for use in learned world models., • Investigate unsupervised, self-supervised, and contrastive methods to learn latent spaces that encode dynamics, semantics, and uncertainty., • Incorporate temporal information and motion consistency into latent state estimation using recurrent, filtering, or transformer-based architectures., • Combine data from heterogeneous modalities into a unified latent state representations that generalize across conditions and scenarios., • Ensure the learned representations are resilient to occlusion, sensor degradation, and distributional shift., • Collaborate on joint research agendas with world modeling and policy evaluation researchers to explore uncertainty modeling, interpretability, and representation bottlenecks., • Publish novel research, contribute to open-source tools, and engage with the academic community at major ML and robotics conferences.Qualifications, • PhD in Computer Science, Machine Learning, Robotics, or a related field., • Strong foundation in representation learning or state estimation for sequential decision-making., • Robust experience in deep generative models (e.g., VAEs, diffusion models, autoregressive models)., • Solid base in perception models from large-scale real-world sensor datasets from autonomous driving, robotics, or similar domains., • Experience with latent world models, generative AI for perception, or contrastive learning., • Familiarity with structure-from-motion, Gaussian splatting, or neural radiance fields (NeRFs)., • Experience with multi-modal sensor fusion, state estimation, and SLAM techniques., • Familiarity with uncertainty-aware perception, active perception, and predictive modeling., • Accomplished publication record at top-tier conferences such as NeurIPS, CVPR, ICCV, ICLR, ICRA, CoRL, or RSS., • Deep programming skills in Python and deep learning frameworks such as PyTorch or JAX., • Excellent problem-solving skills and the ability to work in a fast-paced team research environment.Bonus Qualifications, • Background building or using world models in model-based RL, planning, or simulation., • Familiarity with latent-space rollouts, policy evaluation metrics, or offline RL tools. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. Within the Human Interactive Driving division, the Extreme Performance Intelligent Control department is working to develop scalable, human-like driving intelligence by learning from expert human drivers. This project focuses on creating a configurable, data-driven world model that serves as a foundation for intelligent, multi-agent reasoning in dynamic driving environments. By tightly integrating advances in perception, world modeling, and model-based reinforcement learning, we aim to overcome the limitations of more compartmentalized, rule-based approaches. The end goal is to enable robust and adaptable, driving policies that generalize across tasks, sensor modalities, and public road scenarios—delivering ground-breaking improvements for ADAS, autonomous systems, and simulation-driven software development. We are seeking a highly motivated Research Scientist specializing in uncertainty-aware world models for autonomous vehicles. In this role, you will develop cutting-edge models that enable autonomous systems to perceive, predict, and interact intelligently with their environment. You will work at the intersection of machine learning, computer vision, robotics, and probabilistic modeling to build robust world models that improve perception, planning, and decision-making in self-driving systems.Responsibilities • Develop and refine world models that improve the understanding of sophisticated and dynamic driving environments., • Research and implement deep learning, reinforcement learning, and probabilistic modeling techniques for improved scene representation and prediction., • Design algorithms that integrate sensor fusion, temporal reasoning, and uncertainty estimation to improve autonomous vehicle behavior., • Collaborate with cross-functional teams, including perception, planning, and simulation engineers, to develop real-time, scalable models for deployment., • Conduct experiments, simulations, and real-world validations to assess the effectiveness of world models., • Publish research findings in premier conferences and journals and contribute to the AI and robotics research community., • Stay up to date with advancements in machine learning, generative modeling, and simulation technologies.Qualifications, • Ph.D. (or equivalent experience) in Machine Learning, Computer Science, Robotics, or a related field., • Strong background in probabilistic modeling, reinforcement learning, and deep learning architectures (e.g., Transformers, VAEs, Diffusion Models)., • Strong understanding of Bayesian inference, state-space models, and uncertainty quantification., • Hands-on experience with world models, predictive modeling, or generative modeling in robotics or autonomous systems., • Prior experience in publishing research at NeurIPS, ICML, CVPR, ICRA, or similar., • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, JAX)., • Experience working with autonomous vehicle datasets, sensor modalities (LiDAR, camera, radar), and simulation environments.

Job Description About DataVisor: DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Role Summary We are seeking a hands-on Senior Data Scientist to serve as the "Architect of Efficacy" for our AI-Powered Fraud Solutions suite. In this role, you will move beyond simple analysis to build the mathematical core of our product. You will design pre-built detection strategies that provide immediate protection for new clients, solving the industry-wide "Cold Start" problem. Working at the intersection of research and product, you will collaborate closely with our Product, Strategy, Data Science, Delivery, and Engineering teams to translate complex fraud patterns into scalable, automated defenses. Responsibilities • Develop Pre-Built Detection Models: Design, back-test, and optimize statistical baselines and machine learning strategies for our core solution modules, including Real-Time Payments (RTP), ACH, Wire, Check, and Application/Onboarding., • Mine the Global Consortium: Analyze large-scale, cross-industry data within our global intelligence network to identify high-risk device fingerprints and patterns of organized fraud, transforming these insights into features that can be deployed across all clients., • Architect "Cold Start" Logic: Create generalized scoring models that deliver immediate value to new clients, ensuring they are protected against known threats even before their historical data is fully integrated., • Validate AI Agent Logic: Serve as the expert "Human-in-the-Loop" for our AI-driven strategy engine, rigorously testing and validating automated fraud detection logic to ensure safety, transparency, and low false positive rates., • Experience: 1–5 years of hands-on experience in Data Science or Advanced Analytics., • Technical Core: Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL., • Statistical Rigor: Solid foundation in statistical modeling, feature selection, and performance evaluation (Precision/Recall, AUC, KS).Preferred Qualifications, • Experience with graph theory or link analysis for detecting network-based fraud., • Familiarity with unsupervised learning techniques or anomaly detection., • Previous experience working in a high-growth SaaS or Fintech environment., • Total Compensation: Includes Base + Performance Bonus + Equity Options., • Benefits:, • Comprehensive medical, dental, and vision coverage., • 401(k) retirement plan., • Flexible Time Off (FTO) and paid holidays., • Opportunities for R&D exploration and professional development., • Regular team-building events and a collaborative, innovative culture.

Job DescriptionPlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. As a Senior ML Infrastructure Engineer at Plus, you will design scalable architectures capable of handling petabytes of data while ensuring optimal performance for both training and inference phases. You will build robust pipelines for managing model versioning systems and experiment tracking frameworks, which are essential for maintaining reproducibility across experiments. Additionally, you will be responsible for managing large-scale GPU clusters. This role offers unparalleled opportunities—both technically and professionally—for individuals passionate about solving challenging problems using modern cloud-native technologies. Ideal candidates thrive in environments that leverage tools such as Docker containers orchestrated via Kubernetes clusters, seamlessly integrated with state-of-the-art deep learning frameworks like PyTorch or TensorFlow. If you are eager to push the boundaries of what's possible in machine learning infrastructure and contribute to cutting-edge solutions, this position is an excellent fit!Responsibilities: • Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale., • Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks., • Collaborate with cross-functional teams, including ML researchers and engineers, to identify bottlenecks and improve platform usability., • Implement distributed systems and storage solutions optimized for machine learning workloadsDrive improvements in CI/CD workflows for ML models and infrastructure., • Ensure high availability and reliability of the ML platform by implementing robust monitoring, logging, and alerting systems., • Stay current with industry trends and integrate relevant tools and frameworks to enhance the platform., • Mentor junior engineers and contribute to a culture of technical excellence, • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts., • Ensure team compliance with QMS, monitor quality, and drive process improvements.Required Skills:, • Phd or MS in Computer Science, Electrical Engineering, or related field, • Good oral and written communication skills, • Phd new grad or Masters with 3+ years of software engineering experience with a focus on ML infrastructure or distributed systems., • Proficiency in in Python, C++, SQL, • Deep understanding of containerization, orchestration technologies, distributed ML workload, and experiment tracking tools (e.g., Docker, Kubernetes, multiprocessing, Kubeflow, and mlflow), • Deploy and manage resources across multiple cloud platforms (AWS, GCP, or on-prem environments), • Proficiency in at least one deep learning framework, such as PyTorch and data pipeline tools (e.g., Apache Airflow, Prefect)., • Strong knowledge of distributed systems, databases, and storage solutions., • Extensive software design and development skills., • Ability to learn and adapt to new technologies and contribute in a productive environment.Preferred Skills:, • Familiarity with fundamental deep learning architectures, such as Convolutional Neural Networks (CNNs) and Transformer models, • Experience in building large-scale ML datasets, MLOps pipelines, and distributed computing frameworks like Ray

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual. Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. Key Responsibilities • Develop the foundational world model to accurately simulate the physical world., • Collaborate with engineering and data teams to tackle key challenges in training the world model on large-scale clusters., • Develop metrics and evaluation benchmarks to better assess model performance., • Design and implement a scalable and efficient data annotation pipeline to ensure high-quality labeled data for training and evaluation., • Optimize inference efficiency to enable real-time interaction. Areas of Focus, • Scalable Training Systems: Develop and optimize infrastructure for training multimodal LLMs and video diffusion models at massive scale., • Efficient Data Pipelines: Build scalable video data pipelines and annotation frameworks to support high-quality training data., • Inference Optimization: Enhance inference efficiency through optimization and distillation techniques to enable real-time interaction., • Visual Tokenization: Develop methods for discretizing visual features into tokens for improved model representation., • Quantitative Evaluation: Establish rigorous benchmarks to assess physical accuracy, controllability, and intelligence., • Scaling Laws for Video Pretraining: Investigate scaling law principles to guide efficient video pre-training strategies. Academic Qualifications, • MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience. Professional Experience, • Experience in large-scale model training (LLMs or Diffusion Models) on large clusters., • Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.)., • Experiences in building and optimizing large-scale video data pipelines., • Experience in accelerating diffusion model inference for improved efficiency., • Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges., • Strong systems and engineering expertise in deep learning frameworks such as PyTorch., • Strong communication and collaboration skills for effective cross-functional teamwork., • Ability to navigate ambiguity and drive projects in rapidly evolving research areas.

Job Description We are CARIAD, an automotive software development team with the Volkswagen Group. Our mission is to make the automotive experience safer, more sustainable, more comfortable, more digital, and more fun. To achieve that we are building the leading tech stack for the automotive industry and creating a unified software platform for over 10 million new vehicles per year. We're looking for talented, digital minds like you to help us create code that moves the world. Together with you, we'll build outstanding digital experiences and products for all Volkswagen Group brands that will transform mobility. Join us as we shape the future of the car and everyone around it. Role Summary: The Engineer III, Machine Learning contributes to the development of single-stage, end-to-end driving models for the ADAS system. This role supports the design, training, and evaluation of reinforcement learning–based models using world-model simulation environments and multi-modal sensor inputs such as camera and radar data. This role applies modern machine learning techniques to help bridge research advances in multi-modal and foundation models with the practical requirements of real-time embedded deployment. The Engineer III, Machine Learning, works under guidance to help ensure models are robust, generalize effectively, and meet performance expectations across a range of driving scenarios. This role collaborates closely with embedded engineers, data engineers, and MLOps/DevOps engineers to support scalable model training, evaluation, and deployment activities within the ADAS machine learning domain Role Responsibilities: Model Development & Training • Support research and evaluation of single-stage, end-to-end ADAS model approaches and architectures, • Design and train end-to-end machine learning models for the ADAS stack under guidance from more experienced engineers, • Work with real and synthetic multi-modal sensor data (camera, radar, lidar) to support model development and experimentation, • Evaluate and benchmark models against real-world driving use cases using established evaluation pipelines, • Collaborate with cross-functional teams to support ADAS machine learning initiatives, • Demonstrates strong analytical thinking, effective communication, and independent problem-solving across complex, multi-system environments., • Strong software engineering skills, including the ability to write clean, maintainable, and testable code, • Strong analytical and debugging skills applied to machine learning and data-driven systems, • Ability to work on moderately complex technical problems with guidance from more experienced engineers, • Hands-on experience with deep learning techniques, including CNNs, transformers, spatio-temporal models, and modern foundation models, • Experience working with machine learning frameworks such as PyTorch (or equivalent), • Computer vision experience applying modern deep learning techniques such as CNNs, DETR, and vision transformers, • Hands-on experience training reinforcement learning agents using simulation environments, • Familiarity with state-of-the-art machine learning concepts used in AD/ADAS systems, including end-to-end driving models, world models, and vision-language-action models, • Familiarity with deep learning model optimization techniques such as quantization, pruning, and hardware-aware optimization, • Familiarity with inference frameworks such as TensorRT and ONNX Runtime, • Experience with simulation frameworks used in ADAS development, • Exposure to multi-modal machine learning models, including camera and radar fusion, • Calls, (virtual) meetings & workshops (overlapping with German/US business hours as needed) to align with leadership, development teams and partners. Salary range is dependent on factors such as geographical differentials, credentials or certifications, industry-based experience, qualification and training. In the city of Mountain View, California, the salary range for this position is $135,960 - 197,760. CARIAD, Inc. provides performance based merits and annual bonus along with a competitive benefits package. Benefits include medical, dental, vision, 401k with employer match and defined contribution plan, short and long term disability, basic life and AD&D insurance, employee assistance program, tuition reimbursement and student loan repayment plans, maternity and non-primary caregiver leave, adoption assistance, employee referral program and vacation and paid holidays. We also offer a unique vehicle lease program that covers registration and insurance fees. CARIAD is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws. Employment with CARIAD Inc. is subject to export control and sanctions compliance. Some positions may involve access to technology and/or software source code subject to U.S. legal restrictions on release to certain foreign persons based on citizenship or permanent residence. To ensure compliance, applicants will be required to provide information for screening. Employment may be contingent on the outcome, including verification of U.S. citizenship or lawful permanent resident status, or confirmation that a license, exemption, or exception applies. CARIAD retains the discretion to decline to obtain a required license in any case. By applying, you acknowledge and agree to participate in this process.

Job Description The Market Has Changed. Has Your Brokerage? The real estate landscape is evolving at an unprecedented rate. Strategies that were effective just a year ago are now outdated, leaving agents relying on obsolete models feeling the pressure. If you're ready to thrive rather than merely survive, PRG Real Estate offers a proven path forward. At PRG, we don't just keep pace with the industry—we set the standard. Supported by elite channel partnerships and state-of-the-art systems, we empower our agents with the tools they need to succeed, regardless of market conditions. Why Top Agents Choose PRG Real Estate: 10–15 Warm Showing Listing Opportunities Monthly We don't just promise leads—we deliver genuine opportunities. These are motivated buyers and sellers actively scheduling appointments and ready to proceed. Inside Sales Agents Setting Appointments for you We have a team of inside sales agents who are follow up with leads and booking appointments on your behalf. Access to our Database with Over 40,000 Contacts We have built up a huge database of buyer and seller prospects who raise their hand everyday to speak to an agent. You get access to these. Earn $150k+ with a Clear, Scalable Model You'll have access to leads, systems, and coaching to build a six-figure business—without the guesswork. Most agents open 1–3 escrows per month within their first 90 days. Proven Partnerships That Keep You Busy As a preferred partner of Zillow Flex, Zillow Seller Connections, Realtor.com, Opendoor, and Redfin, we provide you with premium opportunities daily. Full-Time Support So You Can Focus on Selling Our dedicated back office manages the admin, marketing, and transaction processes, allowing you to focus on what you do best—closing deals. World-Class Tools Training Access our comprehensive tech stack: CRM, lead management, transaction software, marketing support, KPI tracking, and high-level sales training from day one. Culture of Excellence This isn't just a team—it's a movement. PRG agents operate with focus, accountability, and high energy. We win together, learn together, and grow fast. Our Results Speak for Themselves: • Hundreds of transactions closed annually from online lead sources, outbound marketing, open houses, and a 40,000+ contact database, • A consistent track record of agents achieving six-figure incomes—without burnout The agents succeeding in today's market aren't working harder—they're working smarter, with the right support, systems, and partners. Let's discuss how PRG can elevate your business. Schedule a quick discovery call—we believe you'll be glad you did. Job Type: Full-time Pay: $48,226.91 - $196,492.21 per year Benefits: Flexible schedule Schedule: Monday to Friday Self-determined schedule Weekend availability Supplemental pay types: Bonus pay Commission pay

Job Description Special Education Teacher About Morgan Autism Center Morgan Autism Center provides a safe, nurturing, and joyful environment where individuals impacted by autism or other developmental disabilities are accepted and celebrated for who they are. Founded in 1969, the focus is on creating respectful and positive interactions to maximize the potential of each student and client. Morgan Autism Center offers school and adult day programs and is an important resource for families and professional service providers throughout the Bay Area. Their flexible, comprehensive, and highly individualized approach has evolved into a model successfully adopted and implemented in located school districts. For more information, please visit Position Overview The Special Education Teacher is responsible for the management of their classroom including student and staff management. They design and implement curriculum, student individualized education plans (IEPs), behavior plans, and collaborate closely with parents and other members of the program team including instructional aides, speech therapists, occupational therapists and administration. Reporting Relationships This position reports directly to a School Program Director Key Responsibilities Classroom Structure, Curriculum, and Organization • Design and implement enriching and meaningful curriculum and activities focused on functional skills while addressing each student’s IEP goals (community outings, art projects, cooking, special activities), • Support classroom team in maintaining ongoing data tracking systems regarding behavior, goal progress, and any other areas needed for all students and provide quarterly progress reports, • Design and maintain effective physical and program organization in alignment with the Morgan Autism Center Model (e.g., daily schedules for students and staff, daily/weekly routines, 15-minute rotation model, and other classroom systems), • Support all students and staff in use of multi-modal communication strategies (e.g., visual first-then schedules, task analyses, social stories, daily schedules, AAC devices, basic sign language, and any other supports needed), • Provide ongoing support and teaching for all activities of daily living (e.g., toileting, personal hygiene, maintaining safety, and other areas as needed), • Maintain and demonstrate the MAC model of positivity, compassion, and collaboration at all times, • Direct participation in all daily activities, including physical education, community outings, special events, art, music, etc., • Supervise, coach and manage (including training and evaluations) a team of 7 - 8 instructional aides in executing program model and philosophy, • Model and maintain a healthy and effective team dynamic among classroom staff, • Train and/or assist in training of classroom staff, • All program development, student supports planning and implementation must align with the philosophy of the Morgan Autism Center model, • Develop and implement all IEPs for each student on their caseload (e.g., annual, triennial, transition, exit, etc.) in collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.), • Design and implement effective behavior intervention plans for all students, based on analysis of recorded data, • Conduct pre-IEP meetings with parents and service providers to discuss direction and development of IEP prior to district IEP meeting, • Maintain consistent and thorough communication and collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.), including individualized daily communication to classroom parents, • Maintain professional relationships with school districts, regional centers and other professional agencies, • Attend and participate in training on the Morgan Autism Center Model, • Attend all in-services provided by Morgan Autism Center, • Attend additional trainings upon requestExperience and Requirements, • Current Education Specialist Credential (moderate to severe), • Ability to read and write English at a professionally appropriate level, • Ability to navigate pertinent technology (e.g., computers, tablets, Boardmaker, etc.), • Ability to physically engage with all elements of programming (e.g., daily PE, vocational tasks, physical support for students, etc.) Salary and Position Classification • Exempt Position, • Full-Time, • Medical, Dental, Vision (Employee paid 100%), • Life Insurance and Long-Term Disability., • Monday to Friday (8:15 AM - 3:30 PM), • 210 workdays DEI Statement It is Morgan Autism Center’s intent to provide equal employment opportunities to all qualified persons without regard to race, color, religion, sex, gender identity and expression, genetic characteristics, pregnancy, marital status, veteran status, sexual orientation, age, national origin, ancestry, disability, medical condition, or other protected class status as defined by applicable law. This policy covers all employment matters, including but not limited to recruitment, selection, placement, promotions, transfers, demotions, terminations, training and compensation. Powered by JazzHR kgPbqqdzLu

Job DescriptionABOUT MORGAN AUTISM CENTERMorgan Autism Center provides a safe, nurturing, and joyful environment where individuals impacted by autism or other developmental disabilities are accepted and celebrated for who they are. Founded in 1969, the focus is on creating respectful and positive interactions to maximize the potential of each student and client. Morgan Autism Center offers school and adult day programs and is an important resource for families and professional service providers throughout the Bay Area. Their flexible, comprehensive, and highly individualized approach has evolved into a model successfully adopted and implemented in local school districts.For more information, please visit POSITION OVERVIEWThe Special Education Teacher is responsible for the management of their classroom including student and staff management. They design and implement curriculum, student individualized education plans (IEPs), behavior plans, and collaborate closely with parents and other members of the program team including instructional aides, speech therapists, occupational therapists and administration. REPORTING RELATIONSHIPSThis position reports directly to a School Program Director KEY RESPONSIBILITIESCLASSROOM STRUCTURE, CURRICULUM, AND ORGANIZATION* Design and implement enriching and meaningful curriculum and activities focused on functional skills while addressing each student's IEP goals (community outings, art projects, cooking, special activities)* Support classroom team in maintaining ongoing data tracking systems regarding behavior, goal progress, and any other areas needed for all students and provide quarterly progress reports* Design and maintain effective physical and program organization in alignment with the Morgan Autism Center Model (e.g., daily schedules for students and staff, daily/weekly routines, 15-minute rotation model, and other classroom systems)* Support all students and staff in use of multi-modal communication strategies (e.g., visual first-then schedules, task analyses, social stories, daily schedules, AAC devices, basic sign language, and any other supports needed)* Provide ongoing support and teaching for all activities of daily living (e.g., toileting, personal hygiene, maintaining safety, and other areas as needed)* Maintain and demonstrate the MAC model of positivity, compassion, and collaboration at all times* Direct participation in all daily activities, including physical education, community outings, special events, art, music, etc.* Other duties as required STAFF MANAGEMENT* Supervise, coach and manage (including training and evaluations) a team of 7-8 instructional aides in executing program model and philosophy* Model and maintain a healthy and effective team dynamic among classroom staff* Train and/or assist in training of classroom staff* Conduct effective and efficient daily meetings with classroom staff IEP DEVELOPMENT AND BEHAVIOR MANAGEMENT* All program development, student supports planning and implementation must align with the philosophy of the Morgan Autism Center model* Develop and implement all IEPs for each student on their caseload (e.g., annual, triennial, transition, exit, etc.) in collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.)* Design and implement effective behavior intervention plans for all students, based on analysis of recorded data* Conduct pre-IEP meetings with parents and service providers to discuss direction and development of IEP prior to district IEP meeting* Submit Triennial or IEP paperwork to admin 1 week ahead of the IEP meeting COMMUNICATION* Maintain consistent and thorough communication and collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.), including individualized daily communication to classroom parents* Maintain professional relationships with school districts, regional centers and other professional agencies* Provide communication to administrators regarding developing challenges and/or requests for support TRAINING* Attend and participate in training on the Morgan Autism Center Model* Attend all in-services provided by Morgan Autism Center* Attend additional trainings upon request EXPERIENCE AND REQUIREMENTS* Current Education Specialist Credential (moderate to severe)* Ability to read and write English at a professionally appropriate level* Ability to navigate pertinent technology (e.g., computers, tablets, Boardmaker, etc.)* Ability to physically engage with all elements of programming (e.g., daily PE, vocational tasks, physical support for students, etc.)* Experience working as a credentialed teacher in a special ed classroom PHYSICAL DEMANDSWhile performing the essential functions and responsibilities of this job, the employee is regularly required to stand, walk, sit, and reach with hands and arms and speak and hear effectively. The employee must regularly lift and/or move up to 40 pounds and occasionally lift and/or move up to 50 pounds. SALARY AND POSITION CLASSIFICATION* Exempt Position • Full-Time, • Life Insurance and Long-Term Disability, • 210 workdays (View Work Calendar HERE)

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. This opportunity falls within the Future Product Innovation department of the Human-Centered AI Division (HCAI). We are an integrated team of behavioral scientists, ML researchers, and human-computer interaction experts. At the core of our work, we aim to support people to make better decisions by leveraging the best of big data, technology, and insights about why we do what we do. The Future Product Innovation department seeks to reshape the product development process by amplifying human creativity, improving consumer preference forecasting, and facilitating negotiations of product development tradeoffs. We are seeking a highly motivated and talented Computational Cognitive Scientist to lead the development of next-generation computational models of human cognition, behavior, and preferences by leveraging large language models (LLMs) and multimodal learning systems. The role bridges behavior science, machine learning, and computational modeling, focusing on training and fine-tuning LLMs to emulate human decision-making patterns and predict individual preferences across different contexts such as consumer behavior and product design. Additional projects explore how to incorporate physiological and brain imaging data into such models.Responsibilities • Develop generative models of that capture dynamic human traits, goals, and aesthetic or functional preferences., • Design and execute fine-tuning pipelines for modern machine learning architectures using synthetic and human-labeled behavior/preference datasets., • Integrate human-in-the-loop feedback loops for model calibration and bias correction., • Collaborate with scientists in the Future Product Innovation Department., • Participate in meetings with Toyota business groups to tailor our work to business use cases., • Work collaboratively across subject areas and functions., • Publish findings in top tier academic journals and/or conferences.Qualifications, • PhD in Computational Cognitive Science, Computational Neuroscience, Machine Learning, or a related field., • Have demonstrated expertise in the development, fine-tuning (e.g., SFT, RLHF) and evaluation of GenAI models in specialized domains., • Experience implementing and evaluating theories of human behavior computationally., • Strong data science skills with proficiency in Python., • Proven track record of working autonomously while soliciting feedback., • Proven track record of publications at top venues (e.g., CoSyne, NeurIPS, ICML, RLDM)., • Strong interpersonal skills and a great teammate., • Strong interest in interdisciplinary work.Bonus Qualifications, • Experience working with multimodal datasets about human behavior.

Job Description This is a hands-on solutions delivery role with a strong emphasis on technical implementation skills, responsible for ensuring the successful onboarding of customers onto the Ushur platform. The Professional Services team at Ushur acts as a bridge between customers and the sales, product, and engineering teams to support successful customer onboarding, expansion, and renewal. As an Ushur Technical Consultant, you will be responsible for supporting implementations and helping customers maximize the value of the Ushur platform. This includes scoping, designing, and deploying end-user and customer automation journeys using state-of-the-art artificial intelligence and data science–based solutions. A Technical Consultant sits at the core of the Solutions Delivery team, leading discovery sessions with customer champions, capturing technical requirements, and formalizing solutions that align with defined success criteria to ensure successful, on-time delivery. There is a preference to have this role at our Headquarters office in Santa Clara, CA. Remote candidates will be considered. What You'll Do • Design, build, and orchestrate complex no-code workflows that map customer business use cases to scalable, production-ready solutions using industry best practices, • Own customer implementations end-to-end from discovery through production go-live, acting as the technical delivery lead accountable for scope, timelines, risks, and quality, • Develop clear solution and technical documentation, including architecture diagrams, data flows, and business process flows, and effectively communicate to technical and non-technical stakeholders, • Utilize your outstanding technical consulting skills to implement software solutions that address the disparate needs of businesses, • Engage with Technical Success Managers and Account Executives to support solution scoping, effort estimation, and implementation planning, • Lead and drive scope definition, requirements analysis, functional and technical design, application configuration, unit testing, UAT and production deployments, • Provide hands-on technical implementation and support across multiple concurrent customer engagements, • Participate in customer-facing activities including discovery sessions, requirements workshops, solution walkthroughs, and demos, • Share knowledge, reusable patterns, and best practices with peers to improve team effectiveness and delivery consistency, • Identify, document, and track product gaps, risks, and issues using Jira and collaborate with Product and Engineering teams as needed, • Complete weekly time tracking and timesheet submissions in accordance with Professional Services processes, • Allocate time to client-facing meetings including demos, requirements gathering etc.What You Bring, • Bachelor's or Master's degree in Computer Science and or Engineering., • 4+ years of experience in a technical consulting role or mid-to-large SaaS enterprise solutions company or similar experience, • Experience working with cloud-based platforms and services, preferably Amazon AWS or equivalent, • Strong experience working with APIs, scripting, and data transformations; familiarity with JavaScript and/or Python strongly preferred, • Proven ability to operate effectively in a fast-paced, startup environment with changing priorities and a strong bias toward problem-solving and execution, • Customer-first mindset with demonstrated experience delivering solutions aligned to business outcomes, • Strong verbal, written, and presentation skills, with the ability to communicate complex technical concepts to non-technical stakeholders, • Passion for technology and being a part of a fast-growing SaaS startup where we move quickly and wear many hats, • Experience delivering customer-facing implementations using Agile or hybrid delivery methodologies, • Strong knowledge of software testing and debugging tools, platforms/frameworks and associated solutioning approaches in enterprise implementations., • Strong analytical and problem-solving skills, with the ability to evaluate trade-offs and design pragmatic solutions leveraging automation and AI where appropriate., • Strong interpersonal skills and the ability to collaborate effectively with cross-functional teams across Product, Engineering, Sales, and Customer Success, • Familiarity with conversational AI, intelligent automation, or AI-driven customer engagement platforms is a plus.The pay range for this position is $110,000- $120,000 plus bonus and equity. However, base pay offered may vary depending on skills, experience, job-related knowledge and location.Why Join Us?Thriving Company Culture. At Ushur, we foster a values-driven culture that prioritizes respect, inclusion, and collaboration. We empower every individual to thrive, contribute innovative ideas, and make a meaningful impact in a supportive and dynamic environment.Bring Your Whole Self to Work. We celebrate diversity and believe that innovative ideas thrive in an inclusive environment where every team member is valued. As a dynamic start-up, we recognize that every individual makes a significant impact.Rest and Recharge. Take advantage of unlimited PTO, paid holidays (10 holidays + full week off at the end of December), and more to prioritize your well-being and maintain balance.Comprehensive Health Benefits. We've got you covered with health, dental, and vision plans tailored to meet the needs of you and your loved ones, plus additional offerings like life insurance, accident coverage, and more.Invest in Your Future. We provide a 401(k) plan to support your retirement savings and stock options to give you a stake in our company's success and growth.Embrace Growth. One of our core values is Growth Mindset – we believe in lifelong learning. We offer opportunities to support your development, including assistance with certifications and continuing education related to your role at Ushur.Flexible Work Options. We understand the importance of flexibility. For employees based near our HQ, we offer a hybrid work model that balances collaboration and autonomy. Fully remote roles are available for employees located outside of the HQ area, ensuring everyone can thrive in an environment that works best for them.

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. OverviewWe are seeking a creative and technically strong researcher to advance post-training methods for Vision-Language-Action (VLA) models in robotics. This role focuses on improving model alignment, robustness, and adaptability in real-world robotic settings through advanced post-training and continual learning techniques. You will develop algorithms and frameworks that enable persistent learning and optimize data efficiency in embodied systems.Responsibilities • Post-training and adaptation: Design and implement post-training pipelines for VLA models using techniques such as reinforcement learning (RL), reinforcement learning from human or preference feedback (RLHF/RLAIF), in-context learning. Experience with real-world RL is a plus!, • Sim-to-real transfer: Develop methods to enhance real-world transferability of policies trained in simulation., • Reset-free and continual learning: Explore and implement reset-free and autonomous data collection strategies that enable continual skill improvement without manual resets or supervision. Learn continually under settings with large-scale, long term data collection., • Structured exploration: Investigate exploration algorithms that balance safety, curiosity, and efficiency for data gathering in both simulation and real-world robotic systems., • Data curation and feedback loops: Lead the design of data collection and curation pipelines for exploration and post-training, using multimodal data from demonstrations, teleoperation, and on-policy rollouts., • Collaborate across teams in perception, control, and ML infrastructure to deploy scalable and reproducible research systems., • Publish research outcomes and contribute to the open robotics and embodied AI communities.Qualifications, • Ph.D. or M.S. in Robotics, Machine Learning, Computer Vision, or related field, or equivalent applied research experience., • Expertise in reinforcement learning, imitation learning, and multimodal representation learning., • Strong proficiency with deep learning frameworks (e.g., PyTorch, JAX) and robotics simulation environments (e.g., MuJoCo, IsaacSim, PyBullet, Habitat)., • Experience with sim-to-real transfer, policy adaptation, or continual learning in embodied settings., • Strong coding and experimental skills with an emphasis on reproducibility and evaluation at scale., • Prior robotics experience with real-world hardware and ML-based robot deployments.Bonus Qualifications, • Prior work on VLA models (e.g., PI0/PI0.5, OpenVLA, custom models)., • Experience building or managing robot data collection infrastructure., • Familiarity with real-world robot platforms (e.g., Franka, Humanoids, or mobile manipulators).

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual. Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. Key Responsibilities: Data Infrastructure & Pipelines • Design, implement, and maintain scalable video data pipelines to support large-scale training., • Develop data preprocessing, transformation, and synthesis workflows to support world model training., • Contribute to building high-quality data annotation pipelines to ensure accurate and consistent labels across large-scale datasets. Key Responsibilities: Training & Inference Systems, • Support the training of multimodal foundation models (e.g., video diffusion models, world models) by developing and optimizing distributed training systems., • Improve inference and serving efficiency for real-time interaction through model optimization and system tuning., • Monitor system health and performance, and contribute to debugging and optimization at scale. Key Responsibilities: Collaboration & Integration, • Work closely with research teams to understand experimental goals and translate ideas into reliable and maintainable infrastructure and tools., • Integrate novel research prototypes into production-ready systems and ensure reproducibility at scale., • Participate in design and code reviews, ensuring code quality, efficiency, and compliance with best practices. Key Responsibilities: Benchmarking & Evaluation, • Contribute to the development of tools and infrastructure to evaluate model performance using rigorous quantitative benchmarks, including metrics for physical accuracy and controllability. Key Responsibilities: Codebase & Documentation, • Maintain and extend shared codebases, contribute to internal documentation, and support onboarding of new team members or collaborators., • Write clean, efficient, and well-tested code for components across the model development lifecycle. Key Responsibilities, • Support contributions to research papers and demos when engineering work plays a significant role., • Help represent the team’s engineering excellence in internal and external forums when appropriate. Academic Qualifications, • MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience. Professional Experience Required, • Proficient in data collection, cleaning, and transformation at scale, including designing robust pipelines for multimodal datasets (e.g., video, audio, text)., • Practical experience with web scraping and crawling frameworks (e.g., scrapy, selenium, playwright, BeautifulSoup) to collect and curate high-quality web-scale datasets., • Experience in large-scale model training (LLMs or Diffusion Models) on large clusters., • Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.)., • Experiences in building and optimizing large-scale video data pipelines., • Experience in accelerating diffusion model inference for improved efficiency., • Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges., • Strong systems and engineering expertise in deep learning frameworks such as PyTorch., • Strong communication and collaboration skills for effective cross-functional teamwork.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at this Role: CoreWeave is looking for a Director of Engineering to own and scale our next-generation Inference Platform. In this highly technical, strategic role you will lead a world-class engineering organization to design, build, and operate the fastest, most cost-efficient, and most reliable GPU inference services in the industry. Your charter spans everything from model-serving runtimes (e.g., Triton, vLLM, TensorRT-LLM) and autoscaling micro-batch schedulers to developer-friendly SDKs and airtight, multi-tenant security - all delivered on CoreWeave's unique accelerated-compute infrastructure. What You'll Do: • Vision & Roadmap - Define and continuously refine the end-to-end Inference Platform roadmap, prioritizing low-latency, high-throughput model serving and world-class developer UX. Set technical standards for runtime selection, GPU/CPU heterogeneity, quantization, and model-optimization techniques., • Platform Architecture - Design and implement a global, Kubernetes-native inference control plane that delivers <50 ms P99 latencies at scale. Build adaptive micro-batching, request-routing, and autoscaling mechanisms that maximize GPU utilization while meeting strict SLAs. Integrate model-optimization pipelines (TensorRT, ONNX Runtime, BetterTransformer, AWQ, etc.) for frictionless deployment., • Implement state-of-the-art runtime optimizations—including speculative decoding, KV-cache reuse across batches, early-exit heuristics, and tensor-parallel streaming—to squeeze every microsecond out of LLM inference while retaining accuracy., • Operational Excellence - Establish SLOs/SLA dashboards, real-time observability, and self-healing mechanisms for thousands of models across multiple regions. Drive cost-performance trade-off tooling that makes it trivial for customers to choose the best HW tier for each workload., • Leadership - Hire, mentor, and grow a diverse team of engineers and managers passionate about large-scale AI inference. Foster a customer-obsessed, metrics-driven engineering culture with crisp design reviews and blameless post-mortems., • Collaboration - Partner closely with Product, Orchestration, Networking, and Security teams to deliver a unified CoreWeave experience. Engage directly with flagship customers (internal and external) to gather feedback and shape the roadmap.Who You Are:, • 10+ years building large-scale distributed systems or cloud services, with 5+ years leading multiple engineering teams., • Proven success delivering mission-critical model-serving or real-time data-plane services (e.g., Triton, TorchServe, vLLM, Ray Serve, SageMaker Inference, GCP Vertex Prediction)., • Deep understanding of GPU/CPU resource isolation, NUMA-aware scheduling, micro-batching, and low-latency networking (gRPC, QUIC, RDMA)., • Track record of optimizing cost-per-token / cost-per-request and hitting sub-100 ms global P99 latencies., • Expertise in Kubernetes, service meshes, and CI/CD for ML workloads; familiarity with Slurm, Kueue, or other schedulers a plus., • Hands-on experience with LLM optimization (quantization, compilation, tensor parallelism, speculative decoding) and hardware-aware model compression., • Excellent communicator who can translate deep technical concepts into clear business value for C-suite and engineering audiences., • Bachelor's or Master's in CS, EE, or related field (or equivalent practical experience).Nice-to-have:, • Experience operating multi-region inference fleets at a cloud provider or hyperscaler., • Background in edge inference, streaming inference, or real-time personalization systems. The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionPrincipal Chip Power Integrity Engineer Location: San Jose or Irvine in CA or Fort Collins, CO. Comp: 180-225k base + 30% bonus + VERY generous RSUs totaling $900k to $1m (which vests over 4 yrs). Total package $450-550 for Principal Engineer (higher should you qualify for Master or Distinguished Engineer) Introduction A global infrastructure tech provider delivering high-performance semiconductor and enterprise software solutions that power AI workloads, data centers, and cloud platforms. Trusted for scalable, secure, and mission-critical innovation across industries. Top Reasons To Work With Us • Low stress environment with great work/life balance, • Amazing package with base, strong bonus and industry leading RSU program!, • Work for an industry leader in high growth mode with huge career growth potential What You Will Be Doing • Perform full chip power integrity analysis on large advanced node designs using state of the art parallel processing tools, • Diagnose and resolve power delivery issues across a range of products including small high impedance die and large high power 2.5D and 3D designs, • Develop and maintain scalable full chip power integrity methodologies and signoff flows, • Run PDN simulations to address system level voltage budget and IR drop constraints, • Create abstracted macro models for specialized blocks and cells, • Conduct power delivery network simulations using tools such as HSPICE or ADS, • Use Redhawk SC for detailed power integrity modeling and signoff, • Support Totem flows and CMM model creation as needed, • Collaborate with cross functional design, implementation, and methodology teams to ensure robust power delivery throughout the VLSI flow, • You are highly skilled in full chip power integrity analysis and can work with modern tools capable of parallel processing extremely large node count designs in advanced FinFET technologies, • You have a track record of resolving power integrity issues across a wide range of products, including 2.5D designs, from small die with high impedance concerns to very large chips with high power usage and heavy step load demands, • You have experience helping customers address system level voltage budget challenges through PDN simulation work, • You communicate clearly and confidently with architects, technical leaders, and senior level client stakeholders, • Creating new full chip power integrity methodologies and flows that scale to very large node count designs, • Building advanced power integrity approaches for analyzing and signing off 2.5D and 3D products, • Troubleshooting chip power delivery problems and providing actionable guidance to block owners, • Running power delivery network simulations using tools such as HSPICE or ADS, • Applying deep knowledge of Redhawk SC for power integrity analysis and signoff Developing abstract macro models for specialized blocks or custom cells, 3D designs, Working with Totem flows and generating CMM models, Benefits Health, dental, and vision insurance • Life and disability insurance, • FSA and HSA, • 401k with match, • ESPP, • Generous PTO, • Annual bonus from 15-30% (depending on your level), • VERY generous stocks! - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.This job was first posted by CyberCoders on 01/26/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job DescriptionPlus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. We are seeking a Senior Machine Learning Engineer with expertise in deep learning and data analysis. In this role, you will apply data-driven techniques to develop high-fidelity, scalable vehicle simulation models tailored to various vehicle platforms. You will collaborate with cross-functional teams to advance autonomous driving technology and drive innovation in simulation and model development.Responsibilities: • Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques., • Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy., • Integrate the data-driven models into simulation pipelines with seamless compatibility., • Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates., • Collaborate with cross-disciplinary teams to reproduce and resolve issues encountered during real-world road tests., • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies., • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.Required Skills:, • MS (with 3+ years of relevant experience) or PhD new grad in mechanical, electrical, aerospace engineering, physics, computer science, or a related field., • Extensive experience applying deep learning techniques to time series forecasting and data analysis., • Proficient in Python with experience working in large codebases., • Excellent communication skills and the ability to collaborate effectively in a team setting., • Familiarity with state-of-the-art deep learning models and their applications., • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.Preferred Skills, • Proficient in C++, • Background in autonomous vehicle prediction, planning, and control, • Strong understanding of conventional vehicle dynamics modeling

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. The People team at TRI plays a critical role in supporting this mission. We partner across the organization to ensure that our people programs enable innovation, inclusion, and impact. We're a collaborative, curious, and values-driven group that’s passionate about making TRI an exceptional place to work. As a Senior People Partner, you will support our mission-driven, research-oriented organization. This role serves as a strategic and hands-on People leader, partnering closely with senior leaders, people managers, and the broader People team to enable strong leadership, healthy teams, and organizational effectiveness. This role reports to the Manager, People Partner. Responsibilities • Partner with all leaders as a trusted advisor to understand business priorities and develop people strategies that drive organizational goals., • Guide organizational design decisions, including team structures, spans and layers, and headcount planning., • Coach managers and leaders on team dynamics, communication, employee development, and retention strategies., • Lead or support the execution of performance management, employee engagement, and succession planning initiatives., • Identify and assess workforce risks or gaps and develop proactive solutions in collaboration with the wider People organization., • Assess external trends (e.g., macroeconomic shifts, DEI benchmarks, regulatory changes) and advise on implications for talent strategy., • Help drive and support change management efforts that ensure smooth transitions and consistent adoption of new programs or structures., • Partner cross-functionally with other People team members (e.g., People Operations, Compensation, Talent Acquisition) to ensure aligned and scalable solutions.Qualifications, • Bachelor's degree in a relevant field (e.g., Industrial & Labor Relations, Human Resources Management, Human Resources Development, Psychology, Business, etc.) preferred., • 6+ years of progressive HR experience, ideally with a mix of both big tech and startup, including business partnering responsibilities., • Proven expertise in resolving complex interpersonal and team misalignments, using empathy and assertiveness to address issues quickly and effectively., • Comfort navigating ambiguity and adapting to frequent change with strong problem-solving and decision-making skills., • Proven ability to build credibility among senior executives and influence key collaborators to drive alignment across cross-functional teams., • Builds trust, helping to create a positive, collaborative work environment that fosters open communication and mutual respect., • Operates at the highest level of professionalism, confidentiality, and personal integrity., • Detailed, organized, and communicative, and thrives in a multi-tasking, hands-on, collaborative environment., • Willingness to work in the office 2 days a week on a hybrid model., • Authorization to work in the USA.Bonus Qualifications, • Familiarity with organizational effectiveness tools and frameworks (e.g., engagement surveys, span/layer analysis)., • Knowledge of California and/or Massachusetts employment law.

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. The Team TRI’s Carbon Neutrality Department within our Human-Centered AI (HCAI) Division aims to develop AI systems that can support behavior change, such as reducing carbon emissions. To do this, we are developing novel models of human behavior that integrate behavioral science, Human-Computer Interaction, and advanced machine learning. The Opportunity We’re looking for a Senior Machine Learning Research Scientist with expertise in large-scale foundational model training, fine-tuning, evaluation and benchmarking. This role operates at the forefront of generative machine learning and human behavior modeling. Ideal candidates will bring a strong research track record, hands-on experimentation skills, and experience developing and deploying foundational models. This role sits at the intersection of social science and generative AI, building models that represent human beliefs, preferences, and cognition as they change over time. For an example of our early research in this vein, please see • Conduct machine learning research that integrates behavioral science concepts to push the boundaries of knowledge and the state of the art in Human-Centered AI., • Develop and evaluate generative AI and machine learning methods for modeling and understanding human behavior., • Collaborate cross-functionally with researchers in multiple fields, as well as university partnersStay up to date on the state-of-the-art in machine learning theories, methods and tooling., • Collaborate with scientists in the Carbon Neutrality Department to shape our research program and to communicate research to Toyota stakeholders, • Publish research findings in academic journals and/or conferences, • Contribute to technology transfer of research insights and prototypes throughout Toyota.Qualifications, • PhD in computer science, machine learning, or a closely related field3+ years of experience in machine learning research or related projects in an industry setting, particularly in areas related to LLM training or large-scale ML., • A strong publication record in ML, NLP, deep learning, or related fields., • Awareness of current machine learning research and the ability to critically evaluate emerging techniques and literature., • Experience with LLM/MLLM pretraining, fine-tuning (e.g., SFT, RLHF) and agentic systems., • Proficiency in Python and modern deep learning frameworks such as Pytorch or Tensorflow, • Ability to work collaboratively across disciplines and functions., • Ability to balance multiple projects, including short-term and those that may span several years., • Strong project management skills and desire to work on cutting-edge open-ended research projects., • Demonstrated ability to independently identify research opportunities, formulate well-scoped problems, and lead research projects end-to-end., • Demonstrated ability to work autonomously while soliciting feedbackStrong interpersonal skills. Great teammate.Bonus Qualifications, • Experience with one or more of the following areas: diffusion models, uncertainty modeling, reinforcement learning, and physiological signal processing., • Previous experience in human modeling (both cognitive and behavioral) with generative AI.

Job DescriptionJob Title: Research scientist (Robotics, AI) Position Type: Full time Location: Santa Clara, CA, USA Salary Range: $150,000 - $230, 000 (USD) Job ID#: 158284 Job Description: We are looking for a creative, skilled, and motivated research scientists to join our team in advancing robot manipulation capabilities. We are looking for people with proven expertise in machine learning and/or robotics. You will collaborate with a team of talented researchers and engineers, and drive ongoing innovation and technological advancements within the company. This is a full-time on-site role in Santa Clara, CA. Responsibilities * Develop new algorithms and methods for training AI models for enhancing the robot dexterity. * Conduct cutting edge research across multiple disciplines (Robotics, RL/IL, control, perception, LLM, VLM, etc.). * Work with large-scale ML systems and large-scale model training/fine-tuning. * Design and implement state-of-the-art learning-based manipulation/navigation/control algorithms on real robots. * Work with other teams to develop a diverse set of robust manipulation skills for robots. Requirements: * Ph.D. degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, etc., or equivalent research experience. * Passionate about working with robots and building robot products. * Excellent analytical, problem-solving, and communication skills. * At least 3 years of experience conducting independent research. * Deep understanding of the SOTA robot learning techniques (reinforcement learning, imitation learning, etc.) * A track record of research excellence with your work published in top conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, etc. * Proficient with Python. * Proficient with deep learning libraries such as PyTorch/TensorFlow/Jax. * Experience with real robot experiments. * Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc. About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at . Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility. Powered by JazzHR PI2k5Mktin

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The RoleAs a Research Scientist specializing in Computer Vision your role will be crucial in advancing cutting-edge computer vision technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of Computer Vision solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies. Key Responsibilities • Lead the research of technology for improving efficiency in Computer Vision models while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training., • Design and implement Computer Vision algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks., • Integrate and improve Computer Vision algorithms to work with other models such as LLMs, • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient Computer Vision technology., • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies., • Write up results in design documents, technical reports, and papers for publication., • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience., • Preferred: PhD or equivalent research experience in Computer VisionProfessional Experience - Minimum, • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision)., • Knowledge of algorithms, including one or more of the following: imaging, computer vision, computer graphics, or parallel computation., • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms., • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams., • Ability to effectively navigate ambiguity.Professional Experience - Preferred, • Knowledge of modern deep learning techniques and Generative AI for photography, • Experience leading research efforts and influencing other researchers., • Experience with efficiency, modularity or related topics for LLMs., • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)., • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).

Job DescriptionPosition: Data Scientist ML Engineer (Gen AI) Location: Cupertino CA - hybrid work schedule Interview Mode: Video Duration: 12 months Pay - $74.62/hr on W2 Description: • We are looking for a highly skilled Data Scientist ML Engineer (Generative AI) to join our team. In this role, you will be responsible for developing, fine-tuning, and applying advanced generative AI models — including diffusion models, large language models (LLMs), and other state-of-the-art architectures. You will collaborate closely with cross-functional partners in research, data engineering, and operations to deliver high-quality machine learning solutions and scalable datasets., • This position requires a balance of technical depth and creative problem-solving. You should be comfortable working with large, complex datasets and possess a strong grasp of modern ML frameworks, distributed computing environments, and end-to-end data pipelines. Responsibilities:, • Design and Implement LLM-Driven Synthetic Data Pipelines: Design and build workflows using LLMs and Gen AI techniques to create high-volume, high-quality synthetic data for model training and testing., • Fine-tune, evaluate, and optimize large language models for specific downstream tasks and data needs, • Develop and maintain scalable data pipelines supporting training, evaluation, and inference workflows, • Conduct exploratory data analysis to surface insights and identify opportunities for model or data improvement, • Partner cross-functionally with researchers, engineers, and data program managers to define requirements and deliver high-impact ML solutions, • Build and enhance internal tools, libraries, and automation workflows to accelerate experimentation and iteration Required experience and skills:, • Bachelor's degree in Computer Science or related field from an accredited U.S. institution, • 2 years of experience in Machine Learning or Software Engineering, • Expert-level proficiency in Python and familiarity with deep learning frameworks such as PyTorch, • Strong foundation in machine learning algorithms, data preprocessing, and evaluation techniques, • Demonstrated experience working with diffusion models, stable diffusion, or large language models (LLMs), • Excellent analytical, problem-solving, and debugging skills, • Strong communication and documentation skills with the ability to explain complex concepts clearly, • Ability to work independently in a fast-paced, iterative development environment #TB_EN #ZR Company DescriptionFounded in 2002 by three former Monster.com executives; TalentBurst is an award-winning full-service Staffing Firm working directly with Fortune 500 companies in the US and Canada. We specialize in Contract and Contract to Permanent roles across many industries and have direct/contractual relationships with all our clients. Please visit our website or come meet us at our offices in Natick, MA, Miami, FL, Christiansburg, VA, Vineland, NJ, Houston, TX & downtown San Francisco, CAFounded in 2002 by three former Monster.com executives; TalentBurst is an award-winning full-service Staffing Firm working directly with Fortune 500 companies in the US and Canada. We specialize in Contract and Contract to Permanent roles across many industries and have direct/contractual relationships with all our clients. Please visit our website or come meet us at our offices in Natick, MA, Miami, FL, Christiansburg, VA, Vineland, NJ, Houston, TX & downtown San Francisco, CA

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Position SummaryAs a member of the Agents team, you will tackle research and engineering challenges to train advanced agentic language models that are adept at using reasoning and tool use to complete tasks on a computer. These challenges range from building high-quality training datasets and robust evaluations to innovative reinforcement learning infrastructure, algorithms and environments. The team aims to recruit candidates across the research-engineering spectrum, from algorithmic and empirical research to large-scale systems and optimization, reflecting the breadth of interesting problems we aim to solve. We value depth in any subset of these areas; there is no single “right” background. Key Responsibilities· Propose, prototype, and scale algorithms/systems to support agentic learning· Develop new paradigms for agentic behavior that go beyond current practices· Contribute to technical reports, research publications, and open-source software· Collaborate with other teams to produce state-of-the-art foundation models Academic Qualifications• BS, MS, or PhD degree (or equivalent experience) in Computer Science, Machine Learning, or related fields Professional ExperienceMinimum· 2 years of experience working in one of the following or related areas: LLM training/fine-tuning, evaluations, reinforcement learning, LLM inference, distributed machine learning systems· Python and PyTorch development experience· Experience in using LLM agents for your personal or professional use· Experience in designing and implementing algorithms from scratch (for algorithms focus)· Experience in dataset curation and generation (for data focus)· Experience in building or contributing to training/serving infrastructure (for systems focus)· Experience in designing and deep diving into evaluations (for evals focus) Preferred Skills· Expertise in one or more of PyTorch, Ray, Triton, CUDA C++· Strong knowledge of literature on RL, LLM reasoning, and tool use· Experience in training or using LLM agents for SWE tasks· Deep understanding of reinforcement learning principles· Experience implementing distributed learning algorithms· Contributions to published research and/or open-source ML softwareVisa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeGenerous paid time off, sick leave and holidaysEmployee Assistance Program*Life insurance and disability

Job DescriptionAI/ML Architect Job Description We are currently seeking a highly skilled and visionary AI Architect to join our dynamic team. As an AI Architect, you will be instrumental in shaping the AI strategy and technical direction of our projects. You will work closely with our talented team of data scientists, engineers, and product managers to design and implement state-of-the-art AI solutions that meet the needs of our clients and propel our company forward. Responsibilities AI Strategy and Solution Design · Collaborate with clients and internal stakeholders to understand their business objectives and pain points and translate them into AI-driven strategies and solutions.· Lead the design and architecture of end-to-end AI systems, including data collection, preprocessing, feature engineering, model selection, training, and deployment.· Stay informed about the latest advancements in AI and machine learning to ensure our solutions remain at the cutting edge. Technical Leadership· Provide technical expertise and guidance to our AI development team, including data scientists, machine learning engineers, and software developers.· Lead by example and promote best practices in AI development, ensuring code quality, scalability, and maintainability of AI systems.· Foster a culture of innovation, continuous learning, and knowledge sharing within the AI team. Model Development and Evaluation · Oversee the development and evaluation of machine learning models to ensure they meet the highest standards of accuracy and performance.· Implement robust testing and validation procedures to identify and address potential issues early in the development process. Infrastructure and Deployment · Collaborate with our DevOps and IT teams to design and maintain scalable AI infrastructure for efficient model training, testing, and deployment.· Ensure smooth integration of AI models into production systems and monitor their performance in real-world scenarios. Data Governance and Ethics · Champion data governance and privacy best practices to ensure ethical and responsible AI development.· Collaborate with legal and compliance teams to navigate potential legal and ethical implications related to AI projects. Job Requirements · Bachelor's or Master's degree in Computer Science, Data Science, or a related field. A Ph.D. is a plus.· Proven track record with10+yrs in designing and delivering enterprise grade AI-powered solutions, AI & ML products that drive customer and business value. Experience leading AI strategy for enterprise or large-scale platforms.· In-depth knowledge of various AI and machine learning techniques, such as deep learning, natural language processing, computer vision and reinforcement learning.· Proficiency in programming languages like Python, or Java, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn).· Excellent knowledge and good practical skills in major ML algorithms as applied to Natural Language Processing and Computer Vision.· Proficiency with LLMs, RAG and AI agents· Practical experience with deep learning projects· Strong understanding of cloud platforms (AWS, Azure, GCP) and their AI-related services.· Excellent analytical and problem-solving skills with the ability to think creatively and propose innovative AI solutions.· Previous experience in supply chain and logistics preferred.· Outstanding communication and leadership skills, enabling effective collaboration with cross-functional teams and stakeholders.· Certifications in cloud AI platforms or data engineering.· A portfolio of successful AI projects or publications in reputable conferences/journals is highly desirable. Perks · The expected salary range for this position is $150,00 - $180,000 USD· Flexible time-off· Excellent health benefits· Stock options· Exciting hyper growth phase where you can stand out and make a difference. Join our vibrant and forward-thinking team at KlearNow.ai as we continue to push the boundaries of AI technology. We offer a competitive salary, flexible work arrangements, and ample opportunities for professional growth. If you are passionate about shaping the future of Global Trade and making a difference, we invite you to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Kindbody Kindbody’s mission is to make fertility and family-building care affordable and accessible for all. Founded in 2018, Kindbody has been recognized for technology innovation and industry leadership, Kindbody has been named to CNBC Disruptor 50, Fast Company’s Brands that Matter, Forbes Best Startup Employers, Inc.’s Best In Business list of most admired companies, as well as Deloitte Technology Fast 500™, which recognizes the fastest growing and most innovative technology companies in North America. Kindbody is the leading U.S. fertility clinic network and global family-building benefits provider for employers on a mission to make fertility care more affordable and accessible for all. Kindbody serves patients at 26 state-of-the-art signature clinics and IVF labs, 400+ partner clinics, and in 113 countries around the world. Trusted by more than 140 employers, Kindbody’s physician-led model covers the full-spectrum of reproductive healthcare including fertility assessments, fertility preservation, genetic testing, IVF, donor and surrogacy services, adoption, postpartum care, and menopause support. Kindbody is the only fertility benefits provider that serves patients directly, delivering a seamless, integrated experience with superior health outcomes at lower cost. Kindbody has raised more than $315 million in debt and equity funding from leading investors including Perceptive Advisors, JP Morgan Chase’s Morgan Health, GV, RRE Ventures, Claritas Health Ventures, Rock Springs Capital, Distributed Ventures, Whatif Ventures and TQ Ventures. About the Role As an experienced Patient Experience Navigator reporting to our Practice Manager, you will promote and enhance the patients’ health and experience by providing patient support through excellent attention to detail and proactive customer service. This role is a full-time position. Responsibilities * Manage inbound customer communication (phone, secure messaging, email & chat) and ensure all messages are answered in a timely fashion * Maintain clear communication with management about overall customer service * Comforting patients by anticipating patients' anxieties; answering patients' questions * Filing and retrieving patient records, maintaining patient accounts, using electronic medical records * Assist physicians with scheduling patients and troubleshoot scheduling issues * Attend all new patient visits for entirety of visit * Adhering to all standards, policies and procedures associated with safety, sanitation, confidentiality and company operations * Additional duties as requested Who You Are * Two years or more of customer service experience is required * Two years of experience in a clinic or medical office setting is required * Experience in women's healthcare or fertility is required * Must have great communication skills and be a people-oriented person * Must be well-organized and efficient * Proficient at keeping patients records

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The RoleThe Distributed ML Engineer will play a role at the forefront of optimizing performance for the machine learning software stacks, especially at training and inference, and support the team to develop new and cutting-edge systems. The ideal candidate will have a strong background in parallel computing, and hands-on experience in system level coding, debug methodologies, and large-scale machine learning experience.Key Responsibilities • Understand, analyze, profile, optimize, and provide guidance to the team on deep learning workloads on state-of-the-art hardware and software platforms to improve their efficiency with different levels of optimization, • Design and implement performance benchmarks and testing methodologies to evaluate application performance, • Build tools to automate workload analysis, workload optimization, and other critical workflows, • Triage system issues and identify bottleneck and inefficiencies by analyzing the sources of issues and the impact on hardware, network and propose solutions to enhance GPU utilization, • Support the team to develop appropriate kernels and systems for new model architectures and algorithms, • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies., • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)., • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback., • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Ph.D. in CS, EE or CSEE with 1+ years working experience, OR

Job Description We are CARIAD, an automotive software development team with the Volkswagen Group. Our mission is to make the automotive experience safer, more sustainable, more comfortable, more digital, and more fun. To achieve that we are building the leading tech stack for the automotive industry and creating a unified software platform for over 10 million new vehicles per year. We're looking for talented, digital minds like you to help us create code that moves the world. Together with you, we'll build outstanding digital experiences and products for all Volkswagen Group brands that will transform mobility. Join us as we shape the future of the car and everyone around it. Role Summary: The Staff Engineer, Machine Learning, is responsible for leading the development of a single-stage, end-to-end driving model for the ADAS system. This role designs, trains, and fine-tunes reinforcement learning-based models using a world-model simulation environment and leverages multi-modal sensor inputs such as camera and radar data to generate driving trajectories. This role focuses on bridging advances in multi-modal foundation models with the practical challenges of real-time, safety critical embedded deployment. The Staff Engineer, Machine Learning ensures the model is robust, generalizes well, and meets safety standards across a wide range of driving scenarios. This role works closely with embedded engineers, data engineers, and MLOps/DevOps engineers, to create a scalable, high-performance system that delivers real-world impact. Role Responsibilities: Model Architecture & Training Strategy • Research, evaluate, and select promising single-stage, end-to-end ADAS model approaches and architectures, • Design and train state-of-the-art end-to-end machine learning models for the ADAS stack, • Train models using reinforcement learning approaches within simulation or world-model environments and reinforcement learning frameworks, • Work with real and synthetic multi-modal sensor data (camera, radar, lidar) to design models that effectively leverage all available data modalities, • Evaluate and benchmark models against real-world driving use cases using scalable evaluation pipelines, • Collaborate with embedded engineering teams to support model optimization, deployment on embedded hardware, and system integration, • Partner with embedded, data, and platform teams to align model development with system constraints and deployment requirements, • Strong software engineering skills, including the ability to write clean, maintainable, and testable production-quality code, • Strong analytical and debugging skills, with the ability to evaluate tradeoffs and select appropriate technical solutions, • Ability to independently work on moderately complex technical problems, exercising sound judgment in ambiguous problem spaces, • Strong written and verbal communication skills, with the ability to clearly explain complex technical concepts to diverse audiences, • Strong software engineering skills, including the ability to write clean, maintainable, and testable code, • Strong analytical and debugging skills applied to machine learning and data-driven systems, • Ability to work on moderately complex technical problems with guidance from more experienced engineers, • Deep Learning expertise with a strong command of CNNs, transformers, spatio-temporal models, and advanced topics such as foundation models and LLMs, • Hands on experience with machine learning frameworks such as PyTorch (or equivalent), • Reinforcement learning experience, including training agents in simulation environments, • Computer vision experience applying modern deep learning techniques such as CNNs, DETR, and vision transformers to real-world problems, • Experience or strong familiarity with state-of-the-art AD/ADAS systems, including end2end driving models, VLAMs, and world models., • Familiarity with deep learning model optimization techniques, such as quantization, pruning, and hardware-aware optimization, • Familiarity with inference frameworks such as TensorRT and ONNX Runtime, • Experience working with simulation frameworks for ADAS development, • Experience with multi-modal machine learning models, including camera and radar fusion and other multi-modal architectures such as VLAMs, • Calls, (virtual) meetings & workshops (overlapping with German/US business hours as needed) to align with leadership, development teams and partners., • 6+ years of experience in Applied machine learning or deep learning, • 3+ years of experience reinforcement learning, computer vision, or AD/ADAS systems. Salary range is dependent on factors such as geographical differentials, credentials or certifications, industry-based experience, qualification and training. In the city of Mountain View, California, the salary range for this position is $161,710 - $234,325. CARIAD, Inc. provides performance based merits and annual bonus along with a competitive benefits package. Benefits include medical, dental, vision, 401k with employer match and defined contribution plan, short and long term disability, basic life and AD&D insurance, employee assistance program, tuition reimbursement and student loan repayment plans, maternity and non-primary caregiver leave, adoption assistance, employee referral program and vacation and paid holidays. We also offer a unique vehicle lease program that covers registration and insurance fees. CARIAD is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws. Employment with CARIAD Inc. is subject to export control and sanctions compliance. Some positions may involve access to technology and/or software source code subject to U.S. legal restrictions on release to certain foreign persons based on citizenship or permanent residence. To ensure compliance, applicants will be required to provide information for screening. Employment may be contingent on the outcome, including verification of U.S. citizenship or lawful permanent resident status, or confirmation that a license, exemption, or exception applies. CARIAD retains the discretion to decline to obtain a required license in any case. By applying, you acknowledge and agree to participate in this process.

Job Description Job Title Cabinetry and Countertop Project Manager (Full Time) About Porcelanosa Porcelanosa is firmly positioned at the forefront of the Spanish and international markets thanks not only to our solid values of innovation and quality, but also the trust placed in our large team, made up of almost 5000 skilled professionals, and our commitment to the environment and stakeholders. Porcelanosa products are designed with people in mind, intended to make their lives better and feature the finest state-of-the-art innovations. Boasting over 45 years of experience, Porcelanosa is present in more than 150 countries around the world. Our success is based on a unique business model, built on a solid corporate strategy. Why Work for Porcelanosa? At Porcelanosa, precision, reliability, and excellence are at the core of everything we do—including our kitchen operations. As a Cabinetry and Countertop Project Manager, you’ll play a key role in coordinating design and installation processes to ensure projects are delivered on time, within budget, and in alignment with client expectations and quality standards. If you’re detail-oriented, organized, and eager to grow your career in a fast-paced, collaborative environment, this role offers the perfect opportunity. Join us and become part of a mission-driven team that values integrity, innovation, and continuous improvement. What We Offer • Competitive Compensation – Base salary plus commission opportunities, • 100% 401K match up to 4%, • 3-tier medical insurance, • 2-tier dental insurance, • Vision insurance, • Health Savings Account, • Flexible Spending Accounts, • Short Term andLong-TermDisability, • Employer-paid life insurance, • Voluntary Employee, Spouse and Child Life Insurance, • Critical Illness, Hospital Indemnity and Accident Insurance, • $3,000 Tuition Reimbursement, • Paid Time Off (PTO) Key Responsibilities • Coordinate internal resources and third parties/vendors for the flawless execution of cabinetry and countertop projects., • Ensure that all kitchen projects are delivered on time, within scope, and within budget., • Develop project scopes and objectives, involving all relevant parties., • Ensure schedules are effectively coordinated to support smooth interactions between suppliers and clients., • Provide ongoing support to suppliers as needed to ensure efficient operations., • Install cabinetry at client residences and showroom locations as required, • Manage the complete project lifecycle from planning through installation and completion, • Conduct site visits during installation to ensure quality control and adherence to standards, • Train and support installers as needed to maintain installation quality and efficiency, • Serve as the primary liaison between Porcelanosa factories and suppliers, • Perform accurate on-site measurements to ensure proper fit and installation, • Ensure resource availability and allocation., • Develop a detailed project plan to track progress., • Use appropriate verification techniques to manage changes in project scope, schedule, and costs., • Manage the relationship with the client and all parties., • Perform risk management to minimize project risks., • Establish and maintain relationships with third parties/vendors., • Create and maintain comprehensive project documentation. What You Bring to the Team • Minimum of 2 years of experience in cabinetry and countertop installation, • Experience in design or a related field preferred, • Basic proficiency in cabinetry installation techniques, • Proficient in Adobe applications and Microsoft Office Suite, • Willingness and ability to travel to assigned region/territory - West Coast, US, • Strong communication skills with a commitment to providing solutions for both internal and external customers, • Excellent customer service and interpersonal skills, • Positive, professional attitude with a strong work ethic, • Ability to multitask effectively in a fast-paced environment, • Capable of working independently with minimal supervision, • Strong organizational and time-management skills Commitment to Inclusion Porcelanosa provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. At Porcelanosa, we believe in a skills-first approach to recruitment and employment. This means focusing on what you can do and how you can grow, rather than traditional metrics alone. We are committed to adhering to anti-exclusion practices, removing barriers to access, and enhancing opportunities for all individuals based on merit and potential. Your skills, experiences, and perspective are valuable—and we want to empower you to make your mark here with us. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Ability to sit or stand for extended periods while working on project plans, reviewing designs, or meeting with clients and teams., • Manual dexterity to operate computers, design software, and handle blueprints or material samples., • Visual acuity to review drawings, read specifications, and inspect project progress accurately., • Mobility to move between offices, showrooms, warehouses, and job sites as needed., • Ability to lift and carry materials or samples (such as cabinets, large panels, boxes or parts, typically up to 100lbs)., • Clear verbal communication and hearing ability to lead meetings, coordinate with contractors, and interact with clients., • Tolerance for varied environments, including active construction sites with dust, noise, and changing temperatures. Schedule: Eight-hour shift Porcelanosa offer is contingent upon Proof of legal authorization to work in the United States for Porcelanosa, which will be confirmed by E-Verify within three business days of your hire date. Work Remotely No remote work available. #IDN123 8:00 AM - 5:00 PM

Job Description About Etched Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary As a core member of the team, you will play a pivotal role in leading a high-performing team to build a suite of optimized kernels and implement highly optimized inference stacks for a variety of state-of-the-art transformer models (e.g., Llama-3, Llama-4, Deepseek-R1, Qwen-3, Stable Diffusion-3 etc.). You will be responsible for managing and scaling a high-performance team to pioneer novel model mapping strategies, while co-designing inference time algorithms (e.g., speculative and parallel decoding, prefill-decode disaggregation etc.). Key responsibilities * Architect Best-in-Class Inference Performance on Sohu: Deliver continuous batching throughput exceeding B200 by ≥10x on priority workloads * Develop Best-in-Performance Inference Mega Kernels: Develop complex, fused kernels (including basics like reordering and fusing, but also more complex work involving simultaneous computation and transmission of intermediate values for sequential matmuls) that increase chip utilization and reduce inference latency, and validate these optimizations through benchmarking and regression-tested in production pipelines. * Architect Model Mapping Strategies: Develop system level optimizations using a mix of techniques such tensor parallelism and expert parallelism for optimal performance. * Hardware-Software Co-design of Inference-time Algorithmic Innovation: Develop and deploy production-ready inference-time algorithmic improvements (e.g., speculative decoding, prefill-decode disaggregation, KV cache offloading) * Build Scalable Team and Roadmap: Grow and retain a team of high-performing inference optimization engineers. * Cross-Functional Performance Alignment: Ensure inference stack and performance goals are aligned with the software infrastructure teams (e.g., runtime, and scheduling support), GTM (e.g., latency SLAs, workload targets) and hardware teams (e.g., instruction design, memory bandwidth) for future generations of our hardware. Representative projects * Develop optimized kernels for multi-head latent attention on Sohu * Develop optimization strategies to optimally hide compute and communication in mixture-of-expert layers * Organize the team to deliver production ready forward pass implementations of new state-of-the-art models within 2-weeks of their release. Build infrastructure to be able to build this in <1 week in the future. You may be a good fit if you have * Experience in designing and optimizing GPU kernels for deep learning on GPUs using CUDA, and assembly (ASM). You should have experience with low-level programming to maximize performance for AI operations, leveraging tools like Compute Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance. * Deep fluency with transformer inference architecture, optimization levers, and full-stack systems (e.g., vLLM, custom runtimes). History of delivering tangible perf wins on GPU hardware or custom AI accelerators. * Have solid understanding of roofline models of compute throughput, memory bandwidth and interconnect performance. * Experienced in running large-scale workloads on heterogeneous compute clusters, optimizing for efficiency and scalability of AI workloads. * Scopes projects crisply, sets aggressive but realistic milestones, and drives technical decision-making across the team. Anticipates blockers and shifts resources proactively. Strong candidates may also have * Experience with implementation of state-of-the-art reasoning and chain-of-thought models at production scale * Experience with implementation of newer AI compute operations on hardware (e.g., flash attention, long-context attention variants and alternatives) * Analyzed and implemented strategies such as KV-cache offloading for efficient compute resource management * Familiarity with linear algebra (e.g. matrix decomposition, alternatives bases for vector spaces, matrix rank and its implications) * Managed lean, high-performing engineering teams and drove execution on timelines with high quality outcomes Benefits * Medical, dental, and vision packages with generous premium coverage * $500 per month credit for waiving medical benefits * Housing subsidy of $2k per month for those living within walking distance of the office * Relocation support for those moving to San Jose (Santana Row) * Various wellness benefits covering fitness, mental health, and more * Daily lunch + dinner in our office Salary Compensation * $200,000 - $300,000 + significant equity package How we’re different Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

Job DescriptionBoson AI is a startup building large language tools for audio understanding, generation, interaction and entertainment. Our founders, Alex Smola, Mu Li, and a team of Deep Learning, Optimization, NLP, AutoML and Statistics scientists and engineers are working on high quality generative AI models for LLM, large Audio models and beyond. We are seeking research scientists and engineers to join our team full-time in our Santa Clara office. As part of your role, you will work on modeling and training large audio and language models, understanding and interpreting model behavior and aligning models to human values. The ideal candidate will possess a strong background in machine learning, and have motivations for developing state-of-the-art models towards AGI. Responsibilities • Design and verify novel model architectures and training objectives., • Investigate novel model alignment algorithms., • Write efficient and clean code for ML training., • Conduct large-scale experiments to verify the modeling choices and identify improvement areas.Experience, • Summarize results and clearly communicate the motivations and observations in your work, • Proficiency in at least one deep learning framework, such as PyTorch., • Participation in at least one research project related to LLM or multimodal models, e.g. experience in training or fine-tuning them., • Experience in alignment research, • Experience in large-scale distributed model training, • Experience in writing GPU kernels in CUDAQualifications, • PhD or Master's degree with solid scientific contributions, • Active GitHub repository, • Active scientific track record

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. The Team The Automated Driving Advance Development division at TRI focuses on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. The Automated Driving Advance Development team is leading a new cross-organizational project between TRI and Woven by Toyota to research and develop a fully end-to-end learned automated driving / ADAS stack. This cross-org collaborative project is synergistic with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models (LBM). The Opportunity We are looking for a Senior Machine Learning Researcher to join us in developing a state-of-the-art, pixels-to-action, end-to-end system for automated driving. As an expert in machine learning, you will contribute to designing and developing innovative models for our autonomy stack and deploying them on vehicle platforms to solve daily driving tasks and handle long-tail scenarios. An ideal candidate has a strong track record of leading independent research efforts, preferably including mentoring and collaborating with less experienced students and researchers. You will help to drive our exploration into end-to-end learning approaches for automated driving, using large-scale sensor data directly for perception, planning, and prediction to overcome traditional "information bottlenecks." This includes expanding our successful Large Behavior Model (LBM) robotics efforts and Diffusion Policy (DP) research into the driving domain, designing scalable architectures, and integrating visual-language-action modalities. Beyond refining models for closed-loop driving on public roads and in simulation, you will also explore data quality filtering, transfer learning from diverse data sources, and edge deployment optimization. This work is part of Toyota’s global AI efforts to build a more coordinated global approach across Toyota entities.Responsibilities • Conduct ambitious research to advance the state-of-the-art in using new capabilities in generative AI (e.g., recent results in diffusion policy [1],[2]) for end-to-end perception, planning, and prediction in automated driving with a focus on computer vision as the primary sensing modality., • Research and implement scalable end-to-end architectures that process raw sensor data to generate vehicle trajectories, addressing the challenges of long-tail driving scenarios with low data coverage., • Prototype, validate, and iterate model architectures using imitation learning and large-scale data, ensuring robust performance across diverse scenarios., • Perform closed-loop evaluations in sensor simulations and real-world testing environments to rigorously assess model performance, stability, and scalability., • Explore multi-modal and language-conditioned models to broaden the applicability of end-to-end policies, using external data sources and transfer learning to enhance generalization., • Collaborate with researchers and engineers across TRI, Woven by Toyota, and Toyota’s global ecosystem to accelerate model deployment and evaluation in both controlled environments (closed-course) and public road driving., • Take the lead on writing and publishing research results in peer-reviewed venues.Qualifications, • A PhD or equivalent experience in a robotics-relevant or embodied-AI field such as Computer Science, Mathematics, Physics, or Engineering., • A consistent track record of publishing at high-impact conferences/journals (CVPR, ICLR, NeurIPS, ICML, CoRL, RSS, ICRA, ICCV, ECCV, PAMI, IJCV, etc.), • A consistent track record of independent research., • Demonstrated ability to independently formulate and complete a research agenda while collaborating across subject areas., • Experience training large-scale models, including foundation models (e.g., vision-language models, text-to-video models)., • Proficiency in Python and C++ for implementing and evaluating research ideas.Bonus Qualifications, • Experience with robot motion planning techniques like trajectory optimization, sampling-based planning, and model predictive control, or experience with automated driving domains (e.g., perception, prediction, mapping, localization, planning, simulation)., • Experience in developing production-level code for real-time operating systems.

Job DescriptionBoson AI is an early-stage startup building large language tools for everyone to use. Our founders (Alex Smola,Mu Li), and a team of Deep Learning, Optimization, NLP, AutoML and Statistics scientists and engineers are working on high quality generative AI models for language and beyond. We are seeking research scientists and engineers to join our team full-time in our Santa Clara office. As part of your role, you will work on designing model architectures, proposing new loss objectives, and improving generative multimodal models to a new level. The ideal candidate will possess a strong background in machine learning, and have motivations for developing state-of-the-art models towards AGI. We encourage you to apply even if you do not believe you meet every single qualification. As long as you are motivated to learn and join the development of foundation models, we’d love to chat.Responsibilities • Design model architectures and loss objectives to handle combinations of images, video, text, speech, and audio data., • Build diverse datasets to support multimodality learning, including data collection and processing., • Develop new evaluation pipelines to adapt to various forms of generative outputs.You may be a good fit if you have:, • Experience in writing clean and efficient codeMaster or Doctoral degree in computer science or equivalent., • Proficiency in at least one deep learning framework, such as PyTorch or JAX., • Participated in at least 1 research project related to multimodality learning.Strong candidates may also have:, • Experience in generic multimodality learning research (e.g., multimodal joint embedding, text-to-image generation, text-to-video generation, etc.), • Experience in document understanding (e.g., layout analysis, structured data extraction, OCR)., • Experience in audio transcribe, diarization, audio generation, etc. Active Github contributions are a big plus.

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models. We are looking for a Senior Data Engineer to design and build the foundational data infrastructure and tools that power our autonomy research and development workflows. This includes large-scale ingestion pipelines, structured feature stores, labeling infrastructure, scene search and data discovery tools, and performance diagnostics for machine learning and simulation workflows.Responsibilities • Design and implement scalable, production-grade pipelines for data ingestion, transformation, storage, and retrieval from vehicle fleets and simulation environments., • Build internal tools and services for data labeling, curation, indexing, and cataloging across large and diverse datasets., • Collaborate with ML researchers, autonomy engineers, and data scientists to design schemas and APIs that power model training, evaluation, and debugging., • Develop and maintain feature stores, metadata systems, and versioning infrastructure for structured and unstructured data., • Support the generation and integration of synthetic datasets with real-world logs to enable hybrid training and simulation workflows., • Optimize pipelines for cost, latency, and traceability, ensuring reproducibility and consistency across environments., • Partner with simulation and cloud platform teams to automate workflows for closed-loop testing, scenario mining, and performance analytics.Qualifications, • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field., • 8+ years of experience building data-intensive software systems, ideally in robotics, autonomous driving, or large-scale ML environments., • Proficient in Python, SQL, and familiar with C++., • Experience designing ETL pipelines using modern frameworks (e.g., Apache Spark, Flyte, Union)., • Strong knowledge of cloud-native architectures, including AWS services (e.g., S3, or equivalents (Google Cloud platform), • Familiarity with sensor data types (camera, lidar, radar, GPS/IMU) and common data serialization formats (e.g., protobuf. ROS2bag, MCAP)., • Deep understanding of data quality, observability, and lineage in high-volume systems., • Track record of building reliable and performant infrastructure that supports both ad-hoc exploration and repeatable production workflows.Bonus Qualifications, • Experience in AD/ADAS, robotics, or autonomous systems — especially handling perception or planning datasets., • Familiarity with ML pipeline orchestration frameworks (e.g. Kubeflow, SageMaker, etc)., • Experience working with temporal or spatial data, including geospatial indexing and time-series alignment., • Exposure to synthetic data generation, simulation logging, or scenario replay pipelines., • Strong software engineering fundamentals, CI/CD, testing, code review, and service deployment best practices.

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Role OverviewBuild and scale distributed pre-training frameworks· Set up DeepSpeed / FSDP / Megatron-LM across multi-node GPU clusters.· Create robust launch scripts, resilient checkpoints, and job monitoring (e.g. NCCL/GLOO/GPU).Turn mathematical ideas into fast production code· Prototype new optimizers or attention methods (like in PyTorch/NumPy/JAX orothers).· Convert them into efficient CUDA/Triton kernels with custom gradients and tests.Boost training efficiency and stability· Lead mixed-precision training, push bf16, fp8, etc, into daily runs, track their accuracy-vs-speed gains, and be able to analyze numeric stability· Apply kernel fusion, communication tuning, and memory optimization to reach state-of-the-art throughput.Accelerate research velocity· Build logging, metrics, and other experiment-tracking tools for rapid iteration.· Design ablation studies and statistical tests that validate—or refute—new ideas.· Mentor interns and junior engineers through clear async design docs and code reviews.You’ll work side-by-side with researchers, ship production code, and shape the future of large language models.Why You’ll Love This Job· Frontier-scale impact – Train and ship cutting-edge models powering MBZUAI research and industry collaborations.· Research × Engineering blend – Move breakthrough papers into real systems and publish your own results.· End-to-end mastery – Touch everything from petabyte data loaders to custom low-level kernels—experience that’s rare elsewhere.· Open, mission-driven science – Join a transparent culture tackling problems that truly advance AI.· Founding-team growth – Help set direction for IFM U.S. and lead the next generation of AI development.Key Responsibilities· Framework Ownership – Productionize a PyTorch/JAX pre-training stack and keep it reliable at scale.· Custom Optimizer Implementation – Code new algorithms in distributed frameworks directly from mathematical specs.· Experiment Infrastructure – Build reusable modules, logging, and metrics dashboards that speed up research cycles.· Performance Optimization – Apply kernel fusion, communication optimization, and memory management to thousands of GPU jobs.· Distributed Debugging – Rapidly diagnose gradient synchronization, collective-ops, or fault-tolerance issues.· Collaboration – Document designs clearly, run post-mortems, and partner with global research teams.QualificationsMust-Haves· 5 + years combined industry or hands-on research experience with large-scale deep-learning training.· Led at least one large-scale transformer pre-training run· Expert PyTorch or JAX/Flax plus DeepSpeed, FSDP, Megatron-LM, or MosaicML Composer.· Experience with distributed training at scale (100+ GPUs).· Proven multi-node GPU work (Slurm, K8s, or Ray) and NCCL/GLOO debugging.· Strong software engineering skills on large ML codebases· Ownership of mixed- or low-precision paths (bf16, fp8, 4-bit) with accuracy validation.· Clear written communication (design docs, RFCs, post-mortems).Nice-to-Haves· NeurIPS / ICML / ICLR papers or open-source contributions to major ML frameworks.· Experience implementing optimization algorithms (e.g., SGD variants, Adam, second-order methods).· Background in numerical computing.· Ability to translate math and· build high-perf CUDA/Triton kernels.Total compensation target:$300 K – $600 K (base salary + target bonus up to 30 %), commensurate with experience.Visa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeGenerous paid time off, sick leave and holidaysEmployee Assistance Program*Life insurance and disability

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. We are looking for a machine learning engineer to develop our infrastructure and support researchers in the development of foundation models for robotics. The MissionWe are working to create general-purpose robots capable of accomplishing a wide variety of dexterous tasks. To do this, our team is building general-purpose machine learning foundation models for dexterous robot manipulation. These models, which we call Large Behavior Models (LBMs), use generative AI techniques to produce robot action from sensor data and human request. To accomplish this, we are creating a large curriculum of embodied robot demonstration data and combining that data with a rich corpus of internet-scale text, image, and video data. We are also using high-quality simulation to augment real world robot data with procedurally-generated synthetic demonstrations. The TeamThe Robotics Machine Learning Team’s charter is to push the frontiers of research in robotics and machine learning to develop the future capabilities required for general-purpose robots able to operate in realistic environments such as homes or factories. The JobWe have several research thrusts under our broad mission, and we are looking for a machine learning engineer to contribute to some of the following objectives: Hardware Infrastructure: Develop our hardware platform, making sure the robots and software stack are state-of-the-art, operational, and continuously improved with new functionalities. This includes the robot hardware (YAM, Franka, and custom), the sensors (monocular, stereo, depth, etc), the robot/computer interface, the human/robot interface, the data logging, and the controls. Inference & Deployment: Build APIs and systems for high-throughput inference and logging in simulation and on real robot platforms. Enable low-latency model serving and robust policy–environment communication. Evaluation & Monitoring: Design metrics pipelines for quantitative and qualitative evaluation. Build tools for experiment tracking, logging, visualization, and leaderboard management using systems like Weights & Biases, MLflow, or ClearML. Data Infrastructure: Build scalable pipelines for heterogeneous multimodal data (images, text, video, touch, depth, proprioception). Work with data storage, versioning, streaming, and visualization systems optimized for throughput and accessibility. The machine learning engineer who joins our team will be expected to create working code, and interact frequently with researchers. They will run experiments with both simulated and real (physical) robots, and participate in publishing the work to peer-reviewed venues. We’re looking for an engineer who is comfortable working with multiple robotic embodiments and stacks as well as a growing dynamic corpus of robot data.Qualifications • Hardware experience on robots, • Communication protocol experience (ROS, WebSocket, RPC…), • Strong software engineering skills in Python, PyTorch, and distributed systems., • Experience with large-scale data handling, including streaming, preprocessing, and storage of video or sensor data., • A “make it happen” attitude and comfort with fast prototyping., • A passion for robotics and development grounded in important fundamental problems., • Continuous integrationBonus Qualifications, • Familiarity with modern ML efficiency frameworks (e.g., FSDP, DeepSpeed, XLA, Ray, Hugging Face Accelerate)., • Experience with machine learning and familiarity with large multi-modal datasets and models.

Job DescriptionAbout the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role As the Senior Product Manager for our teams, you will work within the extreme ambiguity of frontier research and impose the rigor and focus required for high-velocity delivery. You will partner with Lab Leadership to define the product vision for our model families (LLMs, reasoning, world models) and the applications built upon them. This product vision and leadership will be integral to achieving successful, high-quality releases of state-of-the-art models for the global community. Concurrently, you will lay the groundwork for our Product Management organization. You will define the holistic product vision for the lab, determining not just what we build, but who we build it for. As the team scales, you will hire, mentor, and manage the Product Managers responsible for individual model families, setting the standard for excellence across the board. Key Responsilities • Product Vision & Strategy, • Define the "North Star": Partner with Lab Leadership to synthesize disparate research tracks into a cohesive, lab-wide Product Strategy. Ensure our various model families (LLMs, reasoning, world models) tell a unified story., • User-Centric Roadmap: You are the voice of the user in the research lab. Whether our target is an academic researcher, an open-source hacker, or an enterprise CTO, you must define the specific personas for each model and ensure the product roadmap solves their actual problems (not just theoretical ones)., • Ecosystem Thinking: Treat the model as a platform. Define the requirements for model capabilities, serving endpoints, APIs, and demo applications to ensure our models are usable, accessible, and impactful from Day 1. Execution & Shipping, • Drive Shipping as a Habit: Instill a culture of relentless execution. converting "research timelines" (flexible) into "product timelines" (committed). Manage the tension between research exploration and shipping deadlines., • Technical Translation: Bridge the gap between the Research, Data, and Engineering teams. Translate complex technical constraints (compute budgets, data availability) into clear trade-off decisions., • Force-Rank Priorities: Ruthlessly prioritize features and evaluations to ensure the team is always working on the critical path to release., • Own the Release Criteria: Define what "Done" looks like. Establish and enforce the benchmarks for performance and safety required for a public release., • Cross-Functional Collaboration: Support the synchronization between Research, Engineering, Marketing, and Production. You help to ensure that engineering timelines, marketing beats, and model training schedules are aligned, preventing silos from slowing down the release. Organizational Leadership & Team Building, • Build the PM Engine: You will be the architect of the Product Management function and will define the operating principles for existing and future Product Managers., • Manage & Scale: As the team grows, you will transition into leading the Product Management organization, managing the Product Managers dedicated to specific model families. You will be responsible for their output, growth, and alignment with IFM’s mission., • A bachelor’s degree in Computer Science, Engineering, Physics, or a related technical field. (MBA or advanced technical degree is a plus, but shipping record matters more). Professional Experience - Minimum, • 7+ years of relevant industry experience, with at least 3 years in Product Management for technical, backend, or platform products., • Proven "Shipper": You must have a portfolio of complex technical products you have successfully launched from 0 to 1., • Strategic & User Insight: Demonstrated ability to take a piece of complex technology and find its product-market fit. You can articulate why a user needs a specific feature and back it up with data or intuition., • Leadership Potential: Experience mentoring junior Product Managers or leading cross-functional initiatives. You are ready to build and lead a team., • Technical Fluency: You do not need to write the code, but you must understand the stack. You can discuss context windows, inference latency, and specific benchmarks with researchers without a translator. Professional Experience - Preferred, • Foundation Model Experience: Experience working specifically with LLMs, Generative AI, or ML Infrastructure., • Research-to-Product Transition: Experience working in a research lab or R&D environment, specifically managing the transition of research artifacts into production-grade assets., • Open Source Strategy: Familiarity with the open-source AI ecosystem (Hugging Face, vLLM, etc.) and experience managing open-source community releases.

Job DescriptionJob Title: Control engineer Position Type: Full time Location: Santa Clara, CA, USA Salary Range: $150,000 - $230, 000 (USD) Job ID#: 158283 Job Description: We are seeking talented Control Engineers to join our dynamic team and lead the development of state-of-the-art control and state estimation algorithms for our robot platform. Responsibilities * Develop and implement state estimation, sensor fusion, planning, control algorithms that enable fast, dynamic and safe robot motion * Collaborate with cross-functional teams including embedded system, perception, hardware, AI * Optimize control performance across multiple domains including stability, safety, precision, and energy efficiency * Design and conduct experiments to validate control algorithms both in simulation and on hardware * Analyze system performance data to identify failure modes and improvement opportunities * Document technical approaches, implementation details, and experimental results Requirements: * Master's or PhD in Robotics, Controls, Mechanical Engineering, or related technical field * 4+ years of professional experience developing control systems for dynamic robots * Strong expertise in control theory including nonlinear control, model predictive control, and optimal control * Experience with state estimation techniques such as Kalman filters, particle filters, and factor graphs * Proficiency in C++, Python, Rust for real-time robotics applications * Strong understanding of robot kinematics, dynamics, and mathematical modeling * Experience working with sensor integration including IMUs, encoders, force/torque sensors * Proven track record of implementing and testing control algorithms on physical robotic systems • Excellent problem-solving skills and ability to debug complex system interactionsPreferred Requirements: Experience with highly dynamic control systems such as bipedal, quadruped, or humanoid robots * Knowledge of reinforcement learning or other machine learning approaches for control * Experience with whole-body control and contact dynamics for legged systems * Experience with real-time computing and optimization * Background in trajectory optimization and motion planning * Familiarity with ROS, simulation environments (e.g., Drake, Isaac Sim, SAPIEN, MuJoCo, PyBullet) * Track record of publications in top-tier robotics conferences/journals About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at . Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility. Powered by JazzHR pr9a7AfcYl

Job Description We are WPP Production - the unified global production company that brings together all of WPP's content producers, studios and craft experts into one connected organisation. We combine world-class human craft with next generation technology to originate, design, and deliver multi-channel content systems at scale. Built for borderless collaboration and powered by deep craft expertise, we are the production engine designed for today's always on, AI driven marketing world. WPP Production is part of WPP. WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients, and communities. For more information, visit wpp.com A Hybrid working model We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office three days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. What does a Production Manager, Graphic Production do at WPP Production? Role summary: We are looking for a Graphic Production Manager who is dedicated to the flawless execution and implementation of visual assets applied to the client's web properties and direct marketing materials. Our mission is to uphold the creative vision and technical requirements of the Marcom Interactive Design and Development teams with the same high standards the clients brand is known for. The Graphic Production Manager is responsible for the day-to-day operations of their Graphic Production studio, in collaboration with the Head of Graphic Production Services. This includes but is not limited to managing the Graphic Production artists and Team Leads as well as developing and improving process, workflow automation, training/education, goal-setting and career development. Key Responsibilities • Manages a team of 15-20 people, • Manages client partner relationships - key project escalation for their studio, • Responsible for planning team assignments, and communicating project goals, schedules, deadlines, and other information to the project team members, and internal/external stakeholders, • Establishes project schedules, resources and project staffing. Maintains these and other supporting documents to track and report on project's status and overall progress/completion, • Proactively identifies project risks and develops mitigation plans to address them, • Liaison between departments to communicate GP standards and process, • Collaborates with Head of Graphic Production Services to establish studio strategy, goals and expectations, define resource needs, determine process improvements, and implement change, • Manages team process, workflows, and optimization to ensure deliverables meet WPP's and the client's quality standards, • Guides individual Team Leads and Graphic Production Artists' overall professional development, providing performance feedback, mentoring, assist with resolving performance issues and maintaining positive morale amongst the team, • Evaluate and learn individual artist strengths; help develop cross utilization of resources to promote an effective workflow, • Oversees documentation and training, • Responsible for mentoring and career development of all staff within their GP vertical., • Lead by example and participate in culture development and management, • Work with automation engineer to define and build tools for workflow automations and process improvements for all outputs, • 8+ years experience in a hands-on, high-volume interactive web production environment (or equivalent), of which 3-5 years was in a senior role that included managing teams of various skill-sets and outputs, • Proven success in overseeing multiple projects and deliverables, with tight deadlines and wider cross-functional dependancies, • Ability to problem-solve, track priorities and multi-task efficiently within a fast-paced creative environment which requires constant adaptability and flexibility, • Deep understanding of web-production workflow, best practices as it relates to design, dev, QA, GEO localization and transcreation, • Proficient in all up-to-date graphics applications (Adobe Suite, etc.), design, typography and art-working sensibilities, • Solid understanding of HTML, Javascript, CSS, Sketch, and GiT, • Keeps up-to-date with the latest market and software trends as it relates to graphic production, • Excellent project management, time management, written and verbal communication skills with experience employing Agile and Waterfall project management techniques, • Self-directed, detail oriented, problem solver, with a sense of urgency and ability to work under pressure., • Able to balance assertiveness and sensitivity, diplomacy and patience, while promoting communication and teamwork, • Comfortable working behind the scenes, and independently without supervision, • Impeccable eye for detail, strong production values, creative ingenuity with the ability to meet tight deadlines Why work here: At WPP Production, you'll help shape the future of content production at a truly global scale. We bring together world-class talent, cutting-edge studios, and advanced technology to solve some of the most complex creative and production challenges in the industry. You'll work in a collaborative, borderless environment where craft excellence is valued, innovation is encouraged, and AI and next-generation tools are used to amplify not replace human creativity. With access to diverse projects, global career opportunities, and the backing of WPP's unmatched network, this is a place where you can grow your skills, make real impact, and create work that performs for every audience, across every channel, at every moment. Inclusion and Impact WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Data We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. When you click the "Submit Application" button at the bottom of this page, this will send all the information you have added to WPP Production. Before you do this, we think it's a good idea to read through our Privacy statement. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it. Please contact if you need the job advert or form in another format.

Job Description Uare.ai, founded by Robert LoCascio (former CEO of LivePerson for 28 years), is an AI startup launched in May 2024 with a mission to empower people to do more with their memories. Uare.ai creates AI-driven personal digital twins, enabling users to preserve, share, and interact with their knowledge and stories in groundbreaking ways. At its core is the proprietary Human Life Model (HLM), designed to process unstructured conversations and story data sets without training client data into traditional LLMs. Instead, Uare.ai leverages 3rd-party LLMs for conversations, with HLM providing structure and reasoning. While initially focused on personal legacy and AI immortality, Uare.ai' platform has broad B2C and B2B applications. The company has gained significant traction, featured in over 30 outlets including NBC, NPR, The New York Post, and CNET. About the Role: We are seeking a highly skilled Senior Machine Learning Engineer to join an early-stage, mission-driven startup that's building cutting-edge AI-powered products for real-world human interaction. You will be responsible for designing and implementing scalable machine learning pipelines, integrating foundation models, and fine-tuning retrieval systems that deliver high-quality, context-aware responses. What You'll Do: • Design and implement machine learning workflows that combine structured and unstructured data., • Work with state-of-the-art language models and voice technologies., • Build and optimize retrieval-augmented generation (RAG) systems., • Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems., • Help shape the future of AI-powered human interaction products. What We're Looking For: • 4+ years of experience in machine learning, NLP, or AI., • Strong experience with LLMs, RAG pipelines, vector databases, and prompt engineering., • Hands-on experience with cloud-based AI platforms (AWS, Azure, or GCP)., • Familiarity with voice cloning, speech synthesis, or related audio ML workflows is a plus.

Job DescriptionSalary: $40,000 - $65,000 / year, depending on experience About RISE Education System RISE Academy is a subsidiary of RISE Education System, a 501(c)(3) non-profit educational organization accredited by the Western Association of Schools and Colleges (WASC) and Cognia. Our mission is to promote the holistic development of the child through an authentic and experiential student learning experiencegrounded in faith, family, and community. RISE Academy provides excellence in academic preparation within a faith-based environment, guiding students to become role models who exhibit God-consciousness, professional excellence, and civic leadership. Position Overview RISE Academy is hiring a full-time Homeroom Elementary Teacher (Kindergarten6th grade) for the 20262027 school year at our San Jose Campus. Were looking for a mission-aligned educator who builds a respectful, joyful, and structured classroom culture and delivers strong instruction through inquiry-based and experiential learning aligned with our STREAM model (Science, Technology, Religion, Engineering, Art, and Math). What Youll Do • Create and deliver engaging daily instruction aligned to the schools academic program and STREAM approach, • Build a safe, culturally responsive, nurturing classroom where students love learning, • Differentiate instruction to meet diverse student needs and learning styles, • Use formative and summative assessments to track progress, analyze data, and adjust instruction/interventions, • Support student growth across intellectual, emotional, physical, spiritual, and social domains, • Communicate regularly and effectively with families and maintain strong homeschool partnership, • Collaborate with colleagues and participate in professional learning and professional development, • Support student case management and maintain required documentation (including IEP-related supports when applicable), • Bachelors degree from an accredited university Relevant experience working with children in an elementary/lower school setting or a comparable youth instructional setting • Alignment with RISE Academys mission and comfort working in a faith-based environment, • Strong understanding of curriculum, instruction, and best practices in elementary education, • Commitment to inquiry-based, project-based, and experiential learning, • Ability to differentiate instruction and support a wide range of learners, • Experience using student data and multiple assessment methods to guide instruction and interventions, • Effective classroom management and ability to establish consistent routines and expectations, • Strong interpersonal, collaboration, and communication skills (students, families, and staff), • Willingness to reflect on practice, respond to feedback, and continuously improve, • Masters degree in Education, Child Development, Curriculum & Instruction, or related field, • 2+ years of teaching experience in a formal school setting, • Valid teaching credential (or progress toward credentialing), • Ability to occasionally lift/carry/push/pull up to 20 pounds (classroom materials, supplies, furniture, electronics), • Ability to stand and move around the classroom/campus for extended periods, • Frequent computer and keyboard use; operation of classroom/office equipment (printers, copiers, projectors, etc.), • Ability to maintain a safe, organized, hazard-free classroom and workstation, • Occasional evening/weekend work for school events; may include outdoor duties in varying weather conditions Compensation is based on teaching credentials (non-credentialed vs. credentialed), years of experience, academic degrees, and certifications. Children of staff members may be eligible for tuition discounts.

Job DescriptionDescriptionThe Ameswell is a hotel for the innovator and adventurer in everyone. Like the community we serve, we are inspired by art, nature, innovation, and technology. Whether it's keeping you connected or unplugged, working or unwinding—our rooms, common spaces, and grounds are designed to support your work and play. Join us for something different that you cannot find anywhere else. Responsibilities · Assisting in Managing Day-to-Day Operations · Assists in the ordering of F&B supplies, cleaning supplies and uniforms. · Conduct daily stand up for each outlets. · Supervises daily F&B shift operation and ensures compliance with all F&B policies, standards and procedures. · Assist in weekly inventory of Food and Beverage of all Outlets. · Operates all department equipment as necessary and reports malfunction. · Supervises staffing levels to ensure that guest service, operational needs, and financial objective are met. · Encourages and builds mutual trust, respect, and cooperation among team members. · Develops specific goals and plans to prioritize, organize, and accomplish your work. · Celebrates and fosters decisions that result in successes as well as failures. · Communicates areas that need attention to staff and follows up to ensure understanding. · Coordinates cleaning program in all F&B areas (including General clean), identifying trends and making recommendation for improvements. · Stays readily available/ approachable for all team members. · Demonstrates knowledge of the brand specific service culture. Ensuring Exceptional Customer Service · Provides services that are above and beyond for customer satisfaction and retention. · Serves as a role model to demonstrate appropriate behaviors. · Manages day-to-day operations, ensuring the quality, standards and meeting the expectations of the customers on a daily basis. · Takes proactive approaches when dealing with guest concerns. · Sets a positive example for guest relations. · Stays readily available/ approachable for all guests. · Reviews guest satisfaction results with employees. · Responds in a timely manner to customer service department request. Additional Responsibilities · Provides information to supervisors and co-workers by telephone, in written form, e-mail, or in person. · Analyzes information and evaluates results to choose the best solution and solve problems. · Performs hourly job function if necessary. · Extends professionalism and courtesy to team members at all times. · Comprehends budgets, operating statements and payroll progress report. Qualifications · Assists in the ordering of F&B supplies, cleaning supplies and uniforms. · Conduct daily stand up for each outlets. · Supervises daily F&B shift operation and ensures compliance with all F&B policies, standards and procedures. · Assist in weekly inventory of Food and Beverage of all Outlets. · Operates all department equipment as necessary and reports malfunction. · Supervises staffing levels to ensure that guest service, operational needs, and financial objective are met. · Encourages and builds mutual trust, respect, and cooperation among team members. · Develops specific goals and plans to prioritize, organize, and accomplish your work. · Celebrates and fosters decisions that result in successes as well as failures. · Communicates areas that need attention to staff and follows up to ensure understanding. · Coordinates cleaning program in all F&B areas (including General clean), identifying trends and making recommendation for improvements. · Stays readily available/ approachable for all team members. · Demonstrates knowledge of the brand specific service culture. BenefitsBenefits: • 401(k), • 401(k) matching, • Dental insurance, • Employee discount, • Flexible schedule, • Health insurance, • Paid time off, • Paid training, • Vision insurance

Job DescriptionWho are we? Mission Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors , we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published venture beat article. Team As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. What are we looking for? We’re in search of a Full Stack Engineer who thrives on innovation and creative problem-solving across both server-side and client-side technologies. This role is ideal for someone excited to design, build, and maintain the backbone of our AI solutions while also creating intuitive, dynamic user experiences. You’ll be pivotal in enhancing our AI capabilities by developing high-performance back-end systems and integrating advanced AI into daily data workflows. Simultaneously, you’ll craft impactful front-end interfaces, from our React-based SaaS platform to our VSCode extension—offering data professionals a seamless, AI-driven developer experience. Qualifications: * 3+ years of experience building Python-based web application backends (e.g., Flask, FastAPI, Django) and the infrastructure on which they run * 5+ years of experience designing and developing scalable back-end systems, APIs, and microservices * Strong proficiency in JavaScript/TypeScript and React for building user-facing applications * Hands-on expertise in front-end tooling and libraries (Webpack, Babel, Redux, etc.), with a focus on responsive design, usability, and performance optimization * (Desirable) Working knowledge of static code analysis of SQL * (Desirable) Experience developing and extending VSCode extensions in JavaScript/TypeScript * (Desirable) Familiarity with AI and machine learning concepts * (Desirable) Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) * (Desirable) Involvement in open-source projects Why you should join Altimate AI Projects You'll Work On: * Backend Integration of LLM Architectures: Lead the development and maintenance of the backend infrastructure that powers state-of-the-art Large Language Model (LLM) architectures, including RAG, ReAct, and Agent-based systems. Architect data pipelines for processing extensive datasets and devise AI-powered endpoints crucial for our SaaS application and VSCode Extension. * Front-End Development for DataPilot Build and enhance intuitive, user-friendly interfaces in React for our browser-based SaaS platform. Ensure seamless interactions with our AI backend and deliver an exceptional user experience to thousands of data professionals worldwide. * VSCode Extension Develop and maintain our VSCode extension (JavaScript/TypeScript) to bring AI-driven functionalities directly into developers’ IDE workflow. Focus on smooth integration, performance, and developer experience. * Graph-Based Data Structure Design: Design and develop large-scale graph-based data structures that effectively model complex data stores. Create intricate, efficient structures that can be fed to our AI applications as context, ensuring both scalability and performance. Impact: * Innovation at the Forefront: Push the boundaries of software engineering by combining traditional techniques with cutting-edge AI technologies. * High Visibility & Impact: Directly affect the productivity and capabilities of global data teams, as your contributions will be crucial to the daily operations of thousands of users spread across 100s of countries. * Open Source Contribution: As part of our commitment to the developer community, you will contribute to our open-source initiatives, gaining recognition in the tech community. * Career Growth: This role is a launchpad into the rapidly advancing field of AI, offering exposure to state-of-the-art technologies and generative AI applications. What We Offer * Competitive salary and equity * Base Salary Range: $130,000 - $180,000 [influenced by your expertise, where you live, how the interview goes, and how well you match the role] * Equity: 0.0% - 0.2% * Extensive professional development opportunities and resources for continuous learning * Dynamic and intellectually stimulating work environment with a team of talented engineers * Opportunities to shape the direction of the company and leave a lasting impact How to Apply If this sounds like the perfect role for you, we can't wait to meet you! Apply now and let's build something amazing together.

Job Description Architecture Intern - Inference Location: San Jose, CA Team: Architecture About Etched Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. The role We are seeking a talented Architecture intern to join our team and contribute to the design of next-generation AI accelerators. This role focuses on developing and optimizing compute architectures that deliver exceptional performance and efficiency for transformer workloads. You will work on cutting-edge architectural problems and performance modeling over the course of your internship. Key responsibilities * Support porting state-of-the-art models to our architecture. Help build programming abstractions and testing capabilities to rapidly iterate on model porting. * Assist in building, enhancing, and scaling Sohu’s runtime, including multi-node inference, intra-node execution, state management, and robust error handling. * Contribute to optimizing routing and communication layers using Sohu’s collectives. * Utilize performance profiling and debugging tools to identify bottlenecks and correctness issues. * Develop and leverage a deep understanding of Sohu to co-design both HW instructions and model architecture operations to maximize model performance * Implement high-performance software components for the Model Toolkit You may be a good fit if you have * Progress towards a Bachelor’s, Master’s, or PhD degree in computer science, computer engineering, or a related field * Proficiency in C++ or Rust. * Understanding of performance-sensitive or complex distributed software systems, e.g. Linux internals, accelerator architectures (e.g. GPUs, TPUs), Compilers, or high-speed interconnects (e.g. NVLink, InfiniBand). * Familiarity with PyTorch or JAX. * Ported applications to non-standard accelerator hardware or hardware platforms. * Deep knowledge of transformer model architectures and/or inference serving stacks (vLLM, SGLang, etc.) Strong candidates may have some experience with: * Low-latency, high-performance applications using both kernel-level and user-space networking stacks. * Deep understanding of distributed systems concepts, algorithms, and challenges, including consensus protocols, consistency models, and communication patterns. * Solid grasp of Transformer architectures, particularly Mixture-of-Experts (MoE). * Built applications with extensive SIMD (Single Instruction, Multiple Data) optimizations for performance-critical paths. We encourage you to apply even if you do not believe you meet every qualification. Program details: * 12-week paid internship (June - August 2026) * Generous housing support for those relocating * Daily lunch and dinner in our office * Based at our office in San Jose, CA * Direct mentorship from industry leaders and world-class engineers * Opportunity to work on one of the most important problems of our time For any questions, contact . How we’re different Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in West San Jose, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed. Etched is an equal opportunity employer. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Description About Etched Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Building cutting-edge model-specific ASICs requires crafting custom infrastructure and toolchains to support ultra-fast, reliable, and scalable development across the stack - from simulation to silicon. We build this infrastructure as software - and we engineer it with the same best practices we apply to our products. We use the same rigor, design discipline, and quality standards and testing as we do to our ASIC, software, and platform. You will lead the development and adoption of next-generation infrastructure tooling, enabling Etched ASIC, Software, and Platform engineers to iterate faster, build more reliably, and push the boundaries of AI performance. This includes building and scaling our hybrid high-performance compute (HPC) cluster, optimized for massively parallel CI, EDA workflows, Emulation, and hardware-aware job execution. You’ll also architect and implement a state-of-the-art observability stack with LLM integration and a strong emphasis on streaming health and performance telemetry, log aggregation, distributed tracing, insight generation, synthetic testing, and smart alerting - across CI pipelines, simulation clusters, and service endpoints. This role demands a strong software engineering mindset, quality instincts, and deep understanding of systems. It’s not just about writing scripts - it’s about writing code that builds and manages infrastructure with precision, repeatability, and intent. Key responsibilities * Architect and Scale Distributed Compute Systems: Design and build the orchestration layers that drive our hybrid high-performance clusters—enabling simulation, synthesis, and continuous integration of AI ASICs at unprecedented scale. * Build Infrastructure-as-Code Systems: Develop and maintain a fully programmable infrastructure control plane to ensure reproducibility, auditability, and rapid iteration across the entire stack. * Optimize End-to-End Developer Experience: Create tools and abstractions that empower engineers to harness massive parallelism without worrying about the underlying complexity.. * Workload Elasticity, Reliability, and Efficiency: Prototype and execute workload orchestration and migration strategies between on-premise and cloud environments, balancing performance, storage availability and replication, uptime, and cost across heterogeneous hardware and compute backends. * Implement real-time telemetry, tracing systems that surface insights from millions of metrics, enabling proactive debugging and system optimization. * Push the Limits of Observability: Build a full observability stack that includes dashboards, alerting, automated responses, and a synthetic testing framework to proactively test infrastructure performance and reliability for various application and data flows, ensuring we remain proactive against issues impacting development and productivity workflows. Representative projects * Design and deploy a fully automated, scalable hybrid HPC cluster, combining bare-metal servers and switches with cloud instances, provisioned through MaaS and orchestrated via SLURM and Kubernetes, optimized for mixed EDA workloads and parallel CI pipelines. * Develop a real-time observability system for ASIC toolchain jobs and distributed builds, integrating Prometheus, Grafana, and VictoriaMetrics with streaming telemetry, tracing, and alerting to detect performance regressions before they hit silicon. * Architect and implement a programmable infrastructure-as-code control plane, using Terraform, Ansible, and Puppet, to version, audit, and redeploy every layer of Etched's development stack with deterministic reproducibility. * Create a zero-downtime interactive development environment that provisions and connects Jupyter and VS Code sessions to GPUs and high-memory nodes via a secure zero-trust network, abstracting away cluster state and machine failures. * Prototype and evaluate dynamic workload migration strategies between on-premise and cloud environments to optimize for latency, reliability, and cost across simulation and synthesis pipelines. * Design a synthetic testing and fault injection framework to validate the behavior of infrastructure under high-load, degraded hardware, and intermittent network partitions - before they happen in production. You may be a good fit if you * Are a systems-minded software engineer who loves building foundational platforms, working close to the metal and cloud, solving high-leverage problems at scale. * Are a deeply technical engineer who treats infrastructure as a software problem - prioritizing clean abstractions, version control,small change lists, easy roll backs, testing, and long-term maintainability over ad hoc configuration. * Have strong programming skills in languages such as Python, Go, Rust, and C++, and are comfortable building production-grade tooling. * Possess expert-level knowledge of Linux, virtualization, containerization, and CI/CD pipelines, with a deep understanding of how to debug, optimize, and scale complex systems. * Are familiar with Infrastructure as Code tools like OpenTofu, Ansible, or Puppet, and enjoy designing declarative, reproducible infrastructure systems. * Understand and use PromQL and other telemetry/query languages and have used LLM to extract insight from real-time metrics, and know how to architect and tune observability stacks. * Have a track record of debugging and resolving difficult hardware-software integration problems across bare-metal systems, networks, and distributed workloads. * Can lead and mentor technical teams, guiding design decisions and helping others develop sound engineering instincts. * Have 8+ years of experience in infrastructure engineering, systems programming, or backend software development - ideally in environments where performance, scale, or hardware interaction mattered. * Are driven by curiosity, take initiative, and have an innate sense of ownership — you thrive in uncharted territory, design for edge cases, and love making systems more powerful, reliable, and elegant. Strong candidates may also have experience with * Familiarity with Bazel build system * Deep understanding of ASIC development flows, especially those involving Synopsys, Cadence, and Verilator, including how EDA tools interact with infrastructure for simulation, synthesis, and verification. * Hands-on experience architecting systems with AWS, GCP, or Azure, including hybrid on-prem/cloud deployments, workload migration strategies, and cloud-native orchestration tooling. * Experience monitoring, provisioning, and debugging bare-metal servers, network hardware, and high-performance storage systems in rack-scale environments. * Comfortable in profiling and optimizing compute environments for single-threaded latency, memory-bound workloads, or I/O throughput, especially in the context of simulation or CI performance. * Proficiency building or operating telemetry systems at scale using Prometheus, Grafana, Loki, VictoriaMetrics, and tools for distributed tracing, log aggregation, and real-time alerting across heterogeneous mediums (SMS, email, push alerts, etc.) Benefits * Medical, dental, and vision packages with generous premium coverage * $500 per month credit for waiving medical benefits * Housing subsidy of $2k per month for those living within walking distance of the office * Relocation support for those moving to San Jose (Santana Row) * Various wellness benefits covering fitness, mental health, and more * Daily lunch + dinner in our office How we’re different Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed. Compensation Range: $150K - $250K

Job Description Special Education Teacher Intern About Morgan Autism Center Morgan Autism Center provides a safe, nurturing, and joyful environment where individuals impacted by autism or other developmental disabilities are accepted and celebrated for who they are. Founded in 1969, the focus is on creating respectful and positive interactions to maximize the potential of each student and client. Morgan Autism Center offers school and adult day programs and is an important resource for families and professional service providers throughout the Bay Area. Their flexible, comprehensive, and highly individualized approach has evolved into a model successfully adopted and implemented in located school districts. For more information, please visit Position Overview The Special Education Teacher Intern is responsible for the management of their classroom including student and staff management. They design and implement curriculum, student individualized education plans (IEPs), behavior plans, and collaborate closely with parents and other members of the program team including instructional aides, speech therapists, occupational therapists and administration. Reporting Relationships This position reports directly to a School Program Director Key Responsibilities Classroom Structure, Curriculum, and Organization • Design and implement enriching and meaningful curriculum and activities focused on functional skills while addressing each student’s IEP goals (community outings, art projects, cooking, special activities), • Support classroom team in maintaining ongoing data tracking systems regarding behavior, goal progress, and any other areas needed for all students and provide quarterly progress reports, • Design and maintain effective physical and program organization in alignment with the Morgan Autism Center Model (e.g., daily schedules for students and staff, daily/weekly routines, 15-minute rotation model, and other classroom systems), • Support all students and staff in use of multi-modal communication strategies (e.g., visual first-then schedules, task analyses, social stories, daily schedules, AAC devices, basic sign language, and any other supports needed), • Provide ongoing support and teaching for all activities of daily living (e.g., toileting, personal hygiene, maintaining safety, and other areas as needed), • Maintain and demonstrate the MAC model of positivity, compassion, and collaboration at all times, • Direct participation in all daily activities, including physical education, community outings, special events, art, music, etc., • Supervise, coach and manage (including training and evaluations) a team of 7 - 8 instructional aides in executing program model and philosophy, • Model and maintain a healthy and effective team dynamic among classroom staff, • Train and/or assist in training of classroom staff, • All program development, student supports planning and implementation must align with the philosophy of the Morgan Autism Center model, • Develop and implement all IEPs for each student on their caseload (e.g., annual, triennial, transition, exit, etc.) in collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.), • Design and implement effective behavior intervention plans for all students, based on analysis of recorded data, • Conduct pre-IEP meetings with parents and service providers to discuss direction and development of IEP prior to district IEP meeting, • Maintain consistent and thorough communication and collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.), including individualized daily communication to classroom parents, • Maintain professional relationships with school districts, regional centers and other professional agencies, • Attend and participate in training on the Morgan Autism Center Model, • Attend all in-services provided by Morgan Autism Center, • Current Education Specialist Credential (moderate to severe), • Open to those who may have an intern credential, an emergency credential, and/or currently enrolled in a teaching credential program., • Ability to read and write English at a professionally appropriate level, • Ability to navigate pertinent technology (e.g., computers, tablets, Boardmaker, etc.), • Ability to physically engage with all elements of programming (e.g., daily PE, vocational tasks, physical support for students, etc.), • Experience working as a credentialed teacher in a special ed classroom, • Remain enrolled and in good standing with Credential Program, including completing all requirements thereof While performing the essential functions and responsibilities of this job, the employee is regularly required to stand, walk, sit, and reach with hands and arms and speak and hear effectively. The employee must regularly lift and/or move up to 40 pounds and occasionally lift and/or move up to 50 pounds. Salary and Position Classification • Exempt Position, • Full-Time, • $75,705 Benefits • Medical, Dental, Vision (Employee paid 100%), • Life Insurance and Long-Term Disability., • Retirement 403a & 403b. Schedule • Monday to Friday (8:15 AM - 3:30 PM), • 210 workdays (View Work Calendar HERE), • Occasional Off-hour work is required Location In-person DEI Statement It is Morgan Autism Center’s intent to provide equal employment opportunities to all qualified persons without regard to race, color, religion, sex, gender identity and expression, genetic characteristics, pregnancy, marital status, veteran status, sexual orientation, age, national origin, ancestry, disability, medical condition, or other protected class status as defined by applicable law. This policy covers all employment matters, including but not limited to recruitment, selection, placement, promotions, transfers, demotions, terminations, training and compensation. DEI Statement It is Morgan Autism Center’s intent to provide equal employment opportunities to all qualified persons without regard to race, color, religion, sex, gender identity and expression, genetic characteristics, pregnancy, marital status, veteran status, sexual orientation, age, national origin, ancestry, disability, medical condition, or other protected class status as defined by applicable law. This policy covers all employment matters, including but not limited to recruitment, selection, placement, promotions, transfers, demotions, terminations, training and compensation. Powered by JazzHR 7yiw7yZel9