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Job DescriptionAbout us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. Who we are looking for We're looking for an outstanding experienced engineer to push our platform to the next level of performance and reliability. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll be a key driver of vital projects. An engineer in this position will operate with high degrees of autonomy and will work to build and extend multiple foundational systems. They will be expected to use simple tools to craft performant, reliable and maintainable solutions to challenging problems - both technical and product. What to expect - High performing team: You'll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own right- Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.- End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.- Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.- Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You - Are experienced: You have seen a lot and built a lot. You have personally developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed.- Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.- Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.- Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.- Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use.- Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary and equity in a hyper growth startup.- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.- Strong in person culture. We're 4-5 days a week in our newly-launched loft office in North Beach. - Flexible PTO to recharge. - Annual learning and development budget. - 18 paid vacation days + federal holidays. - Lots of opportunities for travel (all around the US, to London & Europe).- Bi-annual off-sites and monthly socials. - Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will...- Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.- Solve challenging integration issues across a number of sensor modalities (LIDAR, RADAR, cameras...) and deep learning models (perception, prediction, implicit representations).- Develop new features by finding innovative ways to use generally trained perception models.- Develop onboard code to bring new interpretable and robust perception features to the road. Qualifications:- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.- Experience in shipping machine learning features/models into production. - Expert level C\C++ or Rust (we use Rust) in resource constrained environments.- Previous experience in multimodal sensor fusion. - Previous experience in self-driving technology or related fields.- Solid understanding of computing fundamentals, including code efficiency. Bonus/nice to have:- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.- Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models. The US yearly salary range for this role is: $155,000 - $213,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job 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 building the infrastructure powering the AI economy. As enterprises rapidly move from experimentation to production AI systems, the need for specialized GPU infrastructure and scalable deployment frameworks has never been greater. CoreWeave's cloud platform is designed specifically for high-performance AI workloads, enabling organizations to train, fine-tune, and deploy large-scale models faster and more efficiently. The Specialists and Integrations team sits at the center of this transformation. Our mission is to ensure the world's most advanced enterprises don't just purchase compute — they successfully operationalize AI on CoreWeave at massive scale. As the Enterprise Technical GTM Leader, you will define and execute the technical go-to-market strategy for CoreWeave's most strategic enterprise customers. You will partner with Sales, Solutions Architecture, Product, and Engineering to guide complex AI infrastructure deployments from initial proof-of-concept to full production environments running at scale. This is a highly visible leadership role responsible for shaping how enterprises adopt GPU infrastructure for next-generation AI workloads. You will influence deal strategy for multi-million-dollar engagements, build repeatable deployment frameworks for enterprise adoption, and translate complex enterprise requirements into product and platform innovation. About the role: As the Enterprise GTM Leader, you will architect and execute the technical go-to-market motion for CoreWeave's most significant enterprise accounts. You will be the primary strategist responsible for the "Specialists and Integrations" engagement model, ensuring that complex business objectives are translated into scalable, performant infrastructure deployments. This is a high-impact leadership role where you will spend your days shaping deal strategy, overseeing pilot-to-production transitions, and building the repeatable playbooks that allow our enterprise segment to scale. In this role, you will: • Architect and lead the technical go-to-market strategy for CoreWeave's largest enterprise AI infrastructure deployments., • Partner closely with Sales and Solutions Architecture to shape strategy and execution for complex enterprise deals exceeding $5M+ in contract value., • Design and operationalize frameworks that guide enterprise customers from proof-of-concept to large-scale production deployments., • Establish repeatable integration and architecture patterns for AI workloads across hybrid and multi-cloud environments., • Lead technical evaluations involving senior stakeholders across engineering, data science, and executive leadership., • Build scalable deployment playbooks that accelerate enterprise adoption of GPU infrastructure., • Serve as the primary technical voice for enterprise customers, translating field feedback into platform improvements and product roadmap priorities., • Track and optimize key GTM metrics including technical win rates, PoC-to-production conversion, deployment velocity, and enterprise expansion.Who You Are:, • 10+ years of experience in enterprise cloud infrastructure, solutions architecture, or technical GTM leadership., • 5+ years working with AI/ML platforms, GPU infrastructure, or high-performance computing environments., • Proven track record of supporting or leading enterprise deals with contract values exceeding $5M., • Deep expertise in cloud-native infrastructure including Kubernetes, container orchestration, cloud networking, and infrastructure-as-code tools such as Terraform or Pulumi., • Experience architecting multi-cloud or hybrid cloud infrastructure deployments., • Strong ability to translate complex enterprise business objectives into scalable infrastructure architectures., • Demonstrated success influencing cross-functional teams across sales, engineering, and product organizations., • Bachelors degree in Computer Science, Machine Learning, or related field., • Experience supporting AI workloads including distributed model training, inference pipelines, or large-scale data processing., • Background in industries with high-performance compute demands such as financial services, biotech/life sciences, or autonomous systems., • You enjoy translating high-level business strategy into practical infrastructure solutions., • You stay curious about the evolving AI stack and how foundation models are reshaping enterprise technology. #Lijobs 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 DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will...- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment. Qualifications:- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.- 3+ years of experience developing solutions in ML systems or the ML software stack.- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code.

Job Description:\n\nSalary: 100,000 - 112,000 JOB DESCRIPTION April 2026 SENIOR HUMAN RESOURCES MANAGER ELLA BAKER CENTERFOR HUMAN RIGHTSOAKLAND, CA ORGANIZATIONAL BACKGROUND The Ella Baker Center for Human Rights (EBC) is a 501(c)(3) nonprofit organization based in Oakland, California, organizing to shift resources away from prisons and punishment towards opportunities that make our communities safe, healthy, and strong. Named after civil rights hero Ella Baker, we mobilize Black, Brown, and low-income people to build power in our communities. For over 25 years, we have worked from the community to the legislative level to free our people from state violence. We are currently working to end mass incarceration and mass criminalization in the United States through Truth and Reinvestmentmoving resources away from failed criminal legal policies and into creating opportunities, also known as books not bars, jobs not jails, healthcare not handcuffs. Through our programs, such as successful organizing in Alameda County, a robust state policy platform, and national leadership in the movement to end mass incarceration, EBC is building a culture of care to replace cages and cops. The Ella Baker Center Action Fund (EBCAF) is a 501(c)(4) nonprofit organization and a separate but affiliated organization with the Ella Baker Center for Human Rights. EBCAF mobilizes our communities current and formerly incarcerated people, their loved ones, people who are low income, and Black and Brown communities to exercise their full political power and hold institutions accountable. Like our namesake Ella Baker, we understand that true power lies within the people. EBCAF was born out of the vision to further build power amongst those most impacted by incarceration and criminalization. We mobilize these communities to ensure that our elected officials are focused on addressing the root causes of harm in our communities instead of investing in failing institutions, such as prisons and policing, that exacerbate that harm. OUR VALUES At Ella Baker Center, we win by doing our liberation work in alignment with and guided by our core values:Prioritize people most impacted by policing and prisonsAccountabilityBlack LiberationInterconnectionTransformationCulture of Care and HealingSelf-Determination The ideal candidate at EBC understands that our work uplifts the leadership and strategies of those most impacted by the criminal system: working-class people of color. Our primary aspiration is Black liberation, as these communities are the most harmed by policing and prisons. We practice accountability to our communities and each other by giving and receiving feedback, communicating directly, and building a culture of restorative justice. We seek staff who are looking to not only transform the world but are themselves excited to be personally transformed by organizing for liberation while caring for ourselves or each other. Transformation means that we do not turn anyone away who seeks our advocacy or support based on what the state has charged them with. Inherent in collective liberation work we ask our staff to do the personal work of organizing to dismantle white supremacy and cisheteropatriarchy, and practice anti-oppression in everyday relationships. Our values mean we are building a leaderful movement, with an emphasis on those who have been systematically denied leadership and power. ABOUT THE ROLE Reporting directly to the Managing Director, the Senior Human Resources Manager is a high impact position that will support the development and implementation of HR strategies. This position will play an instrumental role in ensuring that we promote a workplace culture that centers EBCs mission, vision, and values while promoting an optimal experience for all employees. The Senior Human Resources Manager will be responsible for building strategies, systems, and processes that drive growth and that centers the mission, vision and values of the Ella Baker Center. As a member of the Administrative Team, the Senior Human Resources Manager will support the leadership in ensuring that the Ella Baker Center for Human Rights has the right people, systems, and processes to meet its goals and drive impact. The Senior Human Resources Manager will support and coordinate the execution of key people and culture functions such as recruitment, retention, performance management, professional development, compensation and benefits, and employee engagement. This role serves as an internal expert in California employment law and labor relations, ensuring full compliance and the consistent application of policies and practices across the organization, while leading postcollective bargaining agreement implementation by translating contract provisions into clear, compliant, and consistently applied organizational systems, policies, and practices. KEY RESPONSIBILITIES HR Strategy and Implementation Manage the administration of human resource programs including, but not limited to, HRIS, compensation, benefits, and leaves.Provide proactive leadership and professional expertise in all areas of human resources management, including benefits, payroll, employee relations, compliance, and performance across full-time employees and contractors.Maintain knowledge of trends, best practices, regulatory changes, and new technologies in human resources, talent management, and employment law to keep the organization in regulatory compliance.Research, develop, and implement periodic competitive compensation, benefits, performance appraisal, and employee incentive programs, including compensation benchmarking.Audit, review, refine and ensure individual as well as collective accountability to Ella Baker Centers policies, procedures and processes.Support organizational leaders and managers with training and organization-wide staffing strategy, ensuring the recruitment function has clear hiring goals and varied recruitment strategies.Work with managers throughout the organization to help define, establish, and communicate annual goals for team members, and ensure that managers are tracking progress against goals.Support the organizational strategic planning process around human resource management, talent acquisition, compliance, risk management and fiscal accountability.Collaborate with the Administrative Team to Identify and manage consultants to support organizational initiatives focused on culture, wellness, and engagement (restorative justice, wellness program, training plan).Serve as the primary internal advisor to leadership on complex HR, compliance, and employee relations matters.Lead the implementation of collective bargaining agreement provisions across organizational systems and practices.Identify gaps between current practices and legal or contractual requirements and implement solutions to ensure alignment. Employee Engagement Formulate and recommend personnel policies, procedures and objectives for the organization to the senior management team.Determine and recommend employee engagement practices necessary to establish a positive employer-employee relationship and promote a high level of staff engagement.Create systems to collect and review staff feedback and conduct internal reviews to ensure organizational learning and improvement.Work with staff and managers to help foster an environment that is welcoming and centers Ella Baker Centers values.Coordinate management training in interviewing, hiring, terminations, performance management, safety, sexual harassment, and other relevant programs.Ensure training aligns with organizational policies, compliance requirements and best practicesAssist managers with facilitating employee relations conversations of a sensitive nature helping to resolve conflicts or disputes.Provide guidance to managers on handling sensitive employee relations matters in a consistent, equitable, and legally compliant manner.Communicate and ensure that all staff individually and collectively follow and are accountable to Ella Baker Centers policies and procedures (such as Overtime protocols and policies, Sick Donation Policy, Sabbatical Policy, and Unpaid Leave Policy).Monitor and address inconsistencies in policy enforcement to reduce organizational risk. Talent Acquisition and Staffing Ensure compliance with all employment laws and continually research and implement best practices for recruitment and hiring processes.Evaluate recruitment processes on an ongoing basis, report findings and make recommendations for improvements based on data, outcome and organizational need.Serve as a trusted advisor to hiring managers to support informed recruiting decisions and effective onboarding that promotes long-term staff success. Support the development and implementation of onboarding practices that promote staff retention and long-term success.Work with the Administrative Team to facilitate recruitment efforts including updating job descriptions, posting new positions, and scheduling interviews.Co-develop and refine performance evaluation processes to further enable managers to provide meaningful and actionable reviews.Collaborate with managers to develop systems and strategies to support ongoing staff and professional development that drive continuous learning; create opportunities for training, coaching, advising, and mentoring.Collaboratively work with the Administrative Team to identify training opportunities, to drive increased impact, ensuring that team members have the opportunity to address development needs, attend conferences, and participate in other courses and convenings.Oversee and coordinate onboarding processes to ensure all administrative and system access needs (e.g., email, phone, technology, and account setup) are completed prior to or on an employees start date, in partnership with appropriate staff. Human Resources Administration and ComplianceServe as point person for documenting grievances, disciplinary processes, and internal investigations.Ensure compliance with workplace laws, claims and regulations, including discrimination and employment-related claimsServes as the primary contact for benefits providers and supports benefits administration, negotiating rates and overseeing payments to insurance carriers.Ensure regular review, updates and implementation of the Employee Handbook and Onboarding Guide to reflect legal and organizational requirements.Serve as a backup administrator with Finance for payroll and retirement plan administration.In Collaboration with the Director of Finance, support with internal and external audits (workers comp, 403b, and financial audits).Assist the Finance team with processing payroll.Works collectively with the Director of Finance to manage the employee Resiliency and Wellness Program.Manage and Troubleshoot phone and email access contract renewals, administrative contract renewalsEnsure the functioning, ordering, and maintenance of office equipment with the support of the Administrative Coordinator.Serve as the co-liaison (alongside EBCs Administrative Coordinator) for IT setup and administrative support. JOB REQUIREMENTS Must be able to remain in a stationary position at least 50% of the time.Needs to be able to move about inside the office to access file cabinets, office machinery, etc.Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.This position needs to be able to use a telephone and communicate with staff, vendors and other members of the public.Nothing in this job description restricts Ella Baker Centers right to assign or reassign duties and responsibilities to this job at any time. Key Qualifications Bachelors degree in Human Resources, Organizational Development, or a related field preferred; SHRM-CP, PHR, or equivalent certification a plus.Minimum of 57 years of Human Resources experience, including employee relations, compliance, and HR processes.Working knowledge of office productivity software (MS Office Suite) is required.Working knowledge of California employment law and employment regulations.Experience supporting employee relations matters, federal law, conflict resolution and performance management.Experience with payroll systems preferred-QuickBooks a plus.Experience in customer service or account management is a plus.Ability to multitask and handle competing demands; prioritize and manage focus and productivity effectively; ability to manage time and meet deadlines.Ability to work independently and demonstrate strong initiative and leadership.Excellent writing, editing, proofing and verbal skills.Ability to handle confidential and sensitive information with sound judgment and discretion.High level of interpersonal skills to handle time-sensitive and confidential situations with professionalism.Superior organizational skills, and the ability to create, implement, and maintain systems to improve the efficiency of the office.Ability to work independently and demonstrate initiative.Proficiency in Mac interfaces and all Microsoft Office applications.Familiarity with and commitment to racial and social justice; a clear understanding of EBCs mission and programs.Nonprofit experience and bilingual skills are a plus. CompetenciesExpertise in employment law, HR compliance, and labor relationsEmployee relations and conflict resolution, including the ability to navigate sensitive and complex workplace situations with sound judgment and discretionStrong analytical and problem-solving skills, with the ability to assess complex issues and make informed, data-driven decisionsOrganizational and project management skills, with the ability to manage multiple priorities and ensure follow-throughClear and effective communication skills, both written and verbal, with the ability to communicate across all levels of staffAbility to maintain confidentiality and handle sensitive information with professionalism and integrityRelationship-building and collaboration skills, with the ability to work effectively across teams and support managersAdaptability and comfort working in a fast-paced, evolving nonprofit environment REPORTING RELATIONSHIP This is a full-time, salaried, exempt position. The Senior Human Resources Manager reports directly to the Managing Director. SALARY AND BENEFITS Salary range: $100,000-$112,000K depending on professional and lived experience. The Ella Baker Center for Human Rights offers a competitive benefits package to its full-time employees, which includes employee health, vision, dental, chiropractor, acupuncture, LTD, life insurance, EAP, paid holidays, vacation and sick time, and the option to enroll in a 401k program. We cover 100% of the employee-only premiums for all medical coverage. Medical coverage begins the 1st of the month, after the date of hire. EVERYONE WELCOME The Ella Baker Center is an equal opportunity employer. Individuals of color, 2SLGBTQIA+ people, individuals with past invol

Job Description This is a part-time faculty role (NOT an internship). This position is a compensated instructional faculty appointment and is not part of any internship or trainee program. This role requires approximately 4 hours per week of instructional work and is classified as a part-time faculty position. Instructor, DF 215 AI Filmmaking San Francisco Film School • In-Person/Hybrid SAN FRANCISCO FILM SCHOOL INSTRUCTOR, DF 215 AI FILMMAKING (DIGITAL FILMMAKING PROGRAM) Term: May 11, 2026, to August 21, 2026. Compensation $60 per hour, applied to both teaching and administrative hours. Multi-term assignment expected; ongoing engagement is contingent on performance and enrollment. Class Meeting Time: Fridays, 10:00 a.m. to 12:00 p.m. Pacific (synchronous, in person) Credits and Hours: 2 Semester Credits; 30 teaching hours; 30 paid administrative hours Modality: Hybrid. Synchronous class sessions meet in person at the San Francisco Film School campus. Administrative work may be completed from any location. Institution: San Francisco Film School, 155 Sansome Street, 2nd Floor, San Francisco, CA 94104 San Francisco Film School (SFFS) prepares emerging filmmakers and creative professionals through industry-aligned, career-focused education. SFFS seeks a qualified instructor to teach DF 215 AI Filmmaking within the Digital Filmmaking program. This course develops professional competencies in AI-based video generation, prompt engineering, hybrid production workflows, and integration of AI-generated content into industry-standard post-production pipelines. Course description This course investigates the creative and technical possibilities of artificial intelligence as a filmmaking tool. Students explore generative video, image synthesis, and AI-assisted post-production workflows, while developing critical judgment about when and how these technologies serve authentic storytelling. The curriculum addresses prompt design, visual continuity, integration of AI-generated material with live-action footage, and the evolving relationship between human creative vision and machine-generated content. Position summary The Instructor for DF 215 AI Filmmaking delivers rigorous, project-based instruction aligned with course outcomes, supports student success through consultation and timely feedback, and maintains accurate academic records. The Instructor reports to the Assistant Dean or Vice President for Academic Affairs and collaborates with SFFS academic leadership to refine the syllabus, learning activities, and assessments as the field evolves. Application materials Please submit the following: • Cover letter addressing your preparation to teach AI filmmaking at the post-secondary level and your approach to rigorous, project-based instruction., • Curriculum vitae or resume., • Please add to your Cover Letter a link to a professional portfolio, reel, or representative body of work demonstrating AI filmmaking proficiency. Hiring process and contingencies Finalists may be asked to complete a brief teaching demonstration and provide professional references. Employment is contingent upon completion of institutional hiring requirements. This position is classified as W-2 employment. Equal opportunity statement San Francisco Film School is an equal opportunity employer. We value a diverse workforce and an inclusive culture. SFFS does not discriminate on the basis of race, color, religion, national origin, ancestry, sex, gender identity, sexual orientation, age, disability, veteran status, or any other legally protected status. Compensation: $60 hourly Responsibilities: Instruction and learning experience design • Teach a two-hour weekly synchronous class session in person at the SFFS campus (Fridays, 10:00 a.m. to 12:00 p.m. PT)., • Deliver instruction that is academically rigorous, project-based, and aligned with stated course outcomes., • Facilitate meaningful instructor-student and student-student interaction through studio work, structured critique, and applied exercises., • Guide students through progressive portfolio development across the 15-week term, from foundational generation techniques through professional finishing., • Maintain an inclusive learning environment and uphold clear academic expectations and community standards. Assessment and feedback • Evaluate student work using project-based rubrics covering technical execution, creative development, and professional finishing., • Provide timely, constructive feedback on weekly assignments, portfolio milestones, and the final showcase., • Post grades in accordance with SFFS policies and schedules., • Track student progress and intervene early when performance or engagement indicates risk. Course administration and collaboration • Use SFFS instructional systems (institutional LMS, videoconferencing, and portfolio platforms) to post materials, manage gradebooks, and communicate with students., • Hold regular office hours and respond to student communications professionally and promptly., • Support continuous course improvement in collaboration with SFFS academic leadership, including updates that reflect the rapid evolution of AI tooling and industry practice. Compliance and documentation • Maintain accurate records for attendance and academic performance in alignment with institutional and accreditor requirements., • Participate in required faculty training., • Attend program meetings, showcases, and reviews when scheduled. Such obligations are occasional rather than routine. Workload and paid administrative time SFFS provides paid administrative hours at a 1:1 ratio (one administrative hour for each teaching hour) to support: • Course preparation and weekly instructional planning, • Office hours and student support, • Assessment, grading, and feedback, • Required student communications and coordination Qualifications: Minimum qualifications (required) • Bachelor's degree from an accredited institution in film, digital media, creative arts, or a closely related discipline., • Minimum of five years of documented professional work in the discipline., • Demonstrated professional portfolio in AI filmmaking, including finished work that integrates AI-generated video with professional post-production workflows., • Working proficiency with industry-standard AI video generation platforms and Adobe Creative Suite, including non-linear editing and motion graphics software., • Demonstrated ability to teach effectively in a synchronous, studio-based environment, including facilitation of critique and applied learning., • Strong written communication skills and a commitment to timely, professional student communication., • Ability to evaluate creative work using clear criteria and provide actionable feedback., • Residence in the San Francisco Bay Area with the ability and willingness to commute regularly to the SFFS campus. Preferred qualifications • Master's degree (MFA or equivalent) in film, digital media, creative arts, or a closely related discipline., • Professional experience delivering AI filmmaking work in commercial, agency, or independent production contexts., • Prior teaching experience in higher education or equivalent professional training settings., • Background in prompt engineering, computational creativity, or emerging generative media practice., • Demonstrated engagement with the critical and aesthetic dimensions of AI in filmmaking, including the relationship between human creative vision and machine-generated content. San Francisco Film School was founded in 2005 and is a private, accredited college offering career-focused education in filmmaking and creative media. Known for its production-based curriculum and faculty of industry practitioners, the School emphasizes hands-on learning that connects creative practice with professional standards. San Francisco Film School serves students pursuing careers across the entertainment industry and continues to expand its academic offerings, including audio/music production and interdisciplinary creative AI, to support the next generation of creators.

Job Description Our mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. At our firm, we believe the most impactful safety research will require access to frontier AI systems. The most powerful AIs will operate not just on text but also other modes of data, including images, video and audio. Such models have potential to augment human creativity and productivity in exciting ways. However, we are very concerned about the risks introduced by powerful multimodal AIs. The Multimodal team builds and studies multimodal models to better understand and mitigate these risks. Our team works across many parts of a large stack that includes training, inference, system design and data collection. Some of our core focus areas are: Foundational Research We develop new architectures for modeling multimodal data and study how they interact with text-only models at scale. Building Infrastructure We work on many infrastructure projects including: • Complex multimodal reinforcement learning environments., • High-performance RPC servers for processing image inputs., • Sandboxing infrastructure for securely collecting data. Data Ingestion We are more interested in running simple experiments at large scale than smaller complex experiments. This requires access to very large sources of multimodal data. We develop tooling to collect, process and clean multimodal data at scale. Because we focus on so many areas, the team is looking to work with both experienced engineers and strong researchers, and encourage anyone along the researcher/engineer curve to apply. You may be a good fit if you: • Have significant software engineering experience, • Are results-oriented, with a bias towards flexibility and impact, • Pick up slack, even if it goes outside your job description, • Enjoy pair programming (we love to pair!), • Want to learn more about machine learning research, • Care about the societal impacts of your work Strong candidates may also have experience with: • High performance, large-scale ML systems, • GPUs, Kubernetes, PyTorch, or OS internals, • Language modeling with transformers, • Reinforcement learning, • Large-scale ETL The expected salary range for this position is: Annual Salary: $230,000—$400,000 USD Logistics Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation and Benefits* Our compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates. Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance. US Benefits - The following benefits are for our US-based employees: • Optional equity donation matching., • Comprehensive health, dental, and vision insurance for you and all your dependents., • 401(k) plan with 4% matching., • 22 weeks of paid parental leave., • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!, • Stipends for education, home office improvements, commuting, and wellness., • Fertility benefits via Carrot., • Daily lunches and snacks in our office., • Relocation support for those moving to the Bay Area., • This compensation and benefits information is based on our good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial. How we're different We believe that the highest-impact AI research will be big science. At our firm, we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to joining our firm, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! We are a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Job DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for an AI Research Scientist to push the boundaries of how advanced AI can be applied in healthcare. You’ll explore new modeling approaches, design novel architectures, and prototype capabilities that don’t exist yet — always with an eye toward how they can be translated into safe, reliable, and impactful products. This is not a pure research role. At Collate, research is directly tied to deployment. You’ll work side by side with engineers, product, and Life science experts to ensure that breakthroughs in the lab become real solutions in the world.What You’ll Do • What You’ll DoExplore new LLM prompt optimization, robustness of LLM applications and modeling approaches in machine learning, NLP, and reasoning., • Prototype and validate AI capabilities that expand Collate’s product roadmap., • Collaborate with engineering, product, and design to bring research into production., • Develop evaluation frameworks to measure safety, reliability, and fairness., • Share findings with the broader AI community through publications and open collaboration., • Help shape the long-term research agenda at Collate.What We’re Looking For, • Strong background in machine learning, NLP, or related fields, with publications or equivalent experience., • Ability to balance theoretical complexity and simplicity of maintaining and improving real world AI applications in life science., • Experience troubleshooting NLP performance gaps and improving applications using online and offline evaluation., • Experience in translation is an added bonus, • Hands-on experience building and experimenting with deep learning models (e.g., PyTorch, JAX, TensorFlow)., • Ability to bridge theory and practice — from new research ideas to real-world deployments., • Curiosity-driven, with a track record of pushing beyond the obvious to uncover new possibilities., • Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! We are not able to provide visa sponsorship (including H-1B, OPT, or other employment-based visas) for this position. Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. About the Role Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasoned Senior Machine Learning Engineer to join our team and help shape the future of ML/AI at Taskrabbit. This is a unique, full-stack role for an individual who is passionate about the entire machine learning lifecycle—from initial research and model development to building the robust infrastructure required to deploy and scale your work. As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial role in advancing our capabilities in areas like search ranking, content discovery, and recommender systems. You will collaborate closely with data scientists and other engineers to design and implement novel algorithms, and you will partner with software engineers to ensure the scalability, reliability, and optimization of our models in production. What You'll Work On: • Model Development & Research: Research, design, and implement machine learning models to solve key business problems in areas like search ranking, recommendations, and content discovery., • End-to-End ML Lifecycle: Own the entire lifecycle of ML models, including feature engineering, training, evaluation, deployment, and monitoring., • Infrastructure & Scalability: Build scalable and reliable ML infrastructure and data pipelines that support reproducible feature engineering and machine learning model deployment in real-time, near real-time, and batch processes., • Performance & Quality: Build monitoring services to understand data quality and model performance of complex systems, and collaborate with engineering and science teams to optimize existing algorithms for training and evaluation., • BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field., • 3+ years of industry experience building and deploying high-quality, production-grade machine learning models and systems., • Strong theoretical knowledge and hands-on experience in machine learning, particularly in areas like search, ranking, recommender systems, or NLP., • Solid software engineering skills with proficiency in one or more programming languages, including Python. The candidate should have experience with popular ML libraries like Scikit-learn, lightgbm, xgboost, TensorFlow, PyTorch, etc., • Proficiency in SQL is also required for writing complex queries and transforming data., • Experience building REST API-based services., • Experience with modern data and ML technologies, such as Docker, Kubernetes, Kafka, Airflow, data warehouses (eg snowflake, redshift or BigQuery), and data lakes., • Familiarity with dbt (Data Build Tool) is a plus for transforming and testing data., • Familiarity with tools for Infrastructure as Code, such as Terraform, and CI/CD pipelines., • Excellent communication skills, with the ability to present complex findings and recommendations clearly to both technical and non-technical audiences., • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. About the Role We're seeking an exceptional Software Engineer to join our research team in advancing the frontiers of visual generative AI. As a Research Engineer, you'll work alongside experienced researchers to develop and improve generative models while ensuring their safe and effective deployment. What You'll Do * Contribute to the development of novel machine learning techniques for visual generative modeling * Implement and experiment with various generative architectures (Diffusion Models, GANs, Transformers) * Help optimize model performance and scaling capabilities * Assist in ensuring safe and robust model deployment * Collaborate with cross-functional teams to integrate research innovations * Participate in research discussions and contribute to technical documentation Required Qualifications * BS or MS in Computer Science, Machine Learning, or related field (recent graduates welcome) * 2+ years of experience in Machine Learning * Strong foundation in machine learning, particularly generative models * Solid programming skills in Python and PyTorch/TensorFlow * Experience with deep learning frameworks and model training * Understanding of fundamental concepts in computer vision and generative AI * Project experience (academic or personal) with generative models * Clear communication skills and ability to work in a research team Preferred Qualifications * Research projects or thesis work in generative AI * Experience with different types of generative models: * Diffusion Models * GANs * Transformer architectures * Large Language Models * Familiarity with distributed computing and GPU optimization * Contributions to open-source ML projects * Academic publications or workshop papers * Experience with ML infrastructure and deployment This position is onsite at our San Francisco office (4–5 days per week). We are a fast-paced startup, and our team works very hard to build impactful products quickly. We’re looking for equally driven and hardworking individuals who thrive in an environment where learning is constant, challenges are exciting, and collaboration is key. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50–$70/hour Location: Remote Commitment: 30–40 hours/week Role Responsibilities • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams., • Label and classify key behaviors, issues, and anomalies in network data., • Help define schemas and structure for large-scale data pipelines., • Interface directly with the client team to ensure data quality and relevance. Must-Have • Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.)., • Comfort with interpreting logs, events, and time-series metrics., • Upload resume, • AI interview based on your resume

Job DescriptionAs an Account Executive on the commercial team, you will be responsible for driving new business, specifically within mid-market enterprises, building upon Windfall’s impressive list of customer logos across financial services, travel, hospitality, retail, and other consumer businesses. Each deal will be approached with care, using a custom methodology that is complex and consultative in nature. We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.Responsibilities: • Research prospective customers and execute strategic outreach into ideal accounts, • Build pipeline through outbound prospecting, attending trade shows, and leveraging online platforms to identify and engage potential clients, • Use consultative selling techniques to offer a unique perspective on each customer’s business; understand pain points across industries, and sell solutions, • Collaborate cross-functionally with Solutions Engineering, Revenue Operations, and Sales leadership to ensure the ideal customer solution with the Windfall platform, • Independently build presentation decks and conduct prospective customer research to present at the executive level with polish, poise, and confidence, • Diligently manage pipeline to ensure quota attainment on a consistent basis, • Negotiate, structure, price, and efficiently close dealsRequirements:, • Bachelor’s degree, • Minimum of 3 years at the Account Executive level, with consultative technology sales experience with a verified track record of exceeding quota, • Extensive understanding of data and its many applications/use cases, • Ambitious, driven, and detail-oriented, with an ability to manage time effectively, • Strong written and verbal communication skills, • Must be able to remain focused in the face of many competing interests, • Extensive experience with outbound prospecting, cultivating and multi-threading accounts, and building a robust pipeline, • Extensive experience with sales tools - Salesforce, Outreach/Groove, LinkedIn, ZoomInfo, etc.Preferred Qualifications:, • Experience selling in a high-growth startup environment, • Solid understanding of the data businesses, paid marketing, and data analytics, • Understanding of the digital marketing, adtech, and martech ecosystems - specifically as it relates to its various social & digital channels (Google, FB, Linkedin, etc.)

Job Description THE COMPANY Guidewheel is on a mission to empower all the world's factories to reach sustainable peak performance. Inspired by the simple, universal truth that every machine on the factory floor has a power cord, our plug-and-play FactoryOps platform makes the power of the cloud accessible to any factory. Guidewheel clips onto any machine to turn its real-time "heartbeat" into a connected, actively learning system that empowers teams to reduce lost production time, increase throughput, and perform better and better over time.At Guidewheel we work with the factories that are the backbone of our economy, and you can have a real, on-the-ground impact right away. We have strong momentum and alignment around our mission, investor support, and a culture that values diversity, growth mindset, and results. And the tight link between our mission and our business model means that reaching more of the world's 10 million factories accelerates our positive impact on the planet. The Guidewheel team shares the following values: • Integrity matters: We are honest, straightforward and sincere. With each other. With our investors. With our customers, • We (actually) care: About each other. About fighting climate change. About making a real impact, • We use data to make decisions: We possess the courage to accept "hard truths" and confront challenges head-on What you'll be doing: • Drive a land and expand sales motion, securing initial wins and growing accounts over time., • Operate effectively in a fast-paced startup environment with minimal supervision., • Own your pipeline creation as a prolific pipeline builder, leveraging BDRs, partners, and self-sourcing., • Consistently meet monthly, quarterly, and annual sales goals., • Become a product expert and develop strong knowledge of the manufacturing domain., • 3–5 years of SaaS sales experience closing deals with ACV ≥ $50K (software + hardware experience a plus)., • Experience selling in the manufacturing industry., • Ability and willingness to travel as needed., • Proven success in land and expand sales motions., • Skilled at competing against better-known competitors and legacy solutions, • Grow with a team that believes developing talent is important, and is building that as a core strength of the company from day one., • Be a leader in the organization, leading the way for future sales hires and mentoring junior team members as they join., • Have influence and impact on the full sales cycle, from Discovery, Scoping, Close and Handoff to Customer Experience., • Fair & equitable pay. Annual base salary for this role ranges from $85,000 -$100,000, and the on-target-earnings for this role range from $170,000-$200,000. The total on-target-earnings are dependent on many factors, including seniority level, location, and our internal compensation and bands., • 100% remote culture. Work from wherever, whenever - we hired you to get a job done, and as long as that is happening, you have the autonomy to get it done where and when you feel comfortable., • Flexible PTO policy. We value balance and boundaries. To be the best version of you, you need time away from your screen, so we want you to take it., • Generous equity. Everyone at Guidewheel receives equity in the business. You will be working hard to build something great, and when we reach the finish line, you should be rewarded for your hard work., • Health Benefits. We offer different health benefits to cover your personal needs from day one of employment - you pick the plan that makes the most sense to you. Guidewheel is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, age, gender identity, gender expression, veteran status, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Guidewheel makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Job DescriptionCanvas Medical is the electronic medical records (EMR) and payments development platform for healthcare. We build modern, elegant front- and back-end tooling to enable new ways for developers and clinicians to collaborate to solve healthcare’s toughest challenges. Canvas is institutionally backed by some of the greatest technology investors in the world (funded notable health tech companies such as GoodRx, Oscar Health, and Hims & Hers Health). The Role We’re hiring an Applied AI Software Engineer to lead evaluations for agents in development and the post-deployment fleet of agents operating in Canvas to automate work for our customers. You will help develop agents in Canvas using state of the art foundation model inference and fine-tuning APIs along with our server-side SDK. The server-side SDK provides extensive tools and virtually all the context necessary for excellent agent performance. You’ll be responsible for designing and running rigorous evaluation experiments that measure performance, safety, and reliability across a wide variety of clinical, operational, and financial use cases. This role is ideal for someone with deep experience evaluating LLM-based agents at scale. You’ll create high-fidelity unit evals and end-to-end evaluations, define expert-determined ground truth outcomes, and manage iterations across model variants, prompts, tool use, and context window configurations. Your work will directly inform model selection, fine-tuning, and go/no-go decisions for AI features used in production settings.You’ll collaborate with product, ML engineering, and clinical informatics teams to ensure that Canvas's AI agents are not only capable, but trustworthy and robust under real-world healthcare constraints. You will also work with technical product marketers and developer advocates to help our broader developer community and the broader market understand the uniquely differentiated value of agents in Canvas.Who You Are • You have extensive hands-on experience evaluating LLM-based systems, including multi-agent architectures and prompt-based pipelines., • You are deeply familiar with foundation model APIs (OpenAI, Claude, Gemini, etc.) and how to systematically benchmark agent performance using those models in applied settings., • You care about correctness and reproducibility and have built or contributed to frameworks for automated evals, annotation pipelines, and experiment tracking., • You bring structure to ambiguity and know how to define “correctness” in complex, nuanced domains., • You are comfortable collaborating across engineering, product, and clinical subject matter experts., • You are not afraid of complexity and are energized by the rigor required in healthcare deployments.What You’ll Do, • Design and execute large-scale evaluation plans for LLM-based agents performing clinical documentation, scheduling, billing, communications, and general workflow automation tasks., • Build end-to-end test harnesses that validate model behavior under different configurations (prompt templates, context sources, tool availability, etc.)., • Partner with clinicians to define accurate expected outcomes (gold standard) for performance comparisons in domains of clinical consequence, and partner with other subject matter experts in other non-clinical domains., • Run and replicate experiments across multiple models, parameters, and interaction types to determine optimal configurations., • Deploy and maintain ongoing sampling for post-deployment governance of agent fleets., • Analyze results and summarize tradeoffs in clarity for product and engineering stakeholders, as well as for technical stakeholders among our customers and the broader market., • Take ownership over internal eval tooling and infrastructure, ensuring speed, rigor, and reproducibility., • Identify and recommend candidates for reinforcement fine-tuning or retrieval augmentation based on gaps identified in evals.What Success Looks Like at 90 Days, • An expanded set of robust evaluation suites exists for all major AI features currently in development and in production., • We have well-defined correctness criteria for each workflow and a reliable source of expert-determined outcome objects., • Product and engineering teams have integrated your evaluation tools into their daily workflows., • Evaluation results are clearly documented and reproducible, enabling trust in the performance trajectory., • Your have effectively engaged your marketing counterparts to translate your work into key messages to the market and to Canvas customers.Qualifications, • 5+ years of experience in applied machine learning or AI engineering, with a focus on evaluation and benchmarking., • Proficiency with foundation model APIs and experience orchestrating complex agent behaviors via prompts or tools., • Experience designing and running high-throughput evaluation pipelines, ideally including human-in-the-loop or expert-labeled benchmarks., • Superlative Python engineering skills and familiarity with experiment management tools and data engineering toolsets in general including, yes, SQL and database management., • Familiarity with clinical or healthcare data is a strong plus., • Experience with reinforcement fine-tuning, model monitoring, or RLHF is a plus.

Job DescriptionAbout PayJoy PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This role The Staff Engineer is responsible for leading our technical foundation for our Lending Systems teams (customer onboarding platforms, risk and offer engines, and partner-facing APIs) to drive innovation, while collaborating with other teams. The candidate must take on a mentoring role, design scalable systems, and influence cross-functional initiatives in a hands-on position where they will make key technical decisions and build critical services. Our Lending Systems team at PayJoy serves 9+ international markets, each with a tailored customer experience. You'll build flexible, maintainable systems that scale with our products and adapt to evolving market demands. You'll balance system complexity, design abstractions, and service encapsulation. This is an Individual Contributor role focused on designing and executing improvements to our technical foundation. Responsibilities • Architect & Build Scalable Application Components, • Design and implement robust APIs, backend services, and data models. Introduce modern frameworks and patterns that other engineers can adopt across the organization., • Mentor & Develop Engineering talent guide engineers through code reviews, pair programming, and architectural discussions. foster a culture of learning, quality, and thoughtful technical decision-making., • 12+ years of experience building and scaling production systems in high-growth environments., • UI, API, and Backend Expertise, • Strong proficiency in designing and implementing RESTful or event-driven APIs., • Experience building user interfaces or frontend components that integrate with complex backend systems., • Deep understanding of backend development in languages such as Java, Python, PHP, or similar., • Database & Data Modeling Skills, hands-on experience with relational and NoSQL databases, schema design, query optimization, and data integrity patterns., • Distributed Systems & Architecture solid understanding of system design, scalability, and distributed systems fundamentals., • Experience with cloud platforms such as AWS, GCP, or Azure., • Strong communication skills with the ability to explain technical concepts to non-technical stakeholders., • Demonstrated ability to lead through influence, collaborate across teams, and mentor engineers at all levels., • 100% Company-funded health insurance for employee and immediate family, • Company-funded employee life and disability insurance, • 20 Paid vacation days, Flexible sick leave, • $2,000 USD annual Co-working Travel perk, • $2,000 USD annual Professional Development perk, • Headphone benefit, home office equipment allowance and wellness perks, • $340 Company-funded Commuter benefit

Job DescriptionAbout Flexport: At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity Join a new engineering team in San Francisco building Flexport's client-facing rates platform and self-serve freight booking experience from the ground up. You will work alongside experienced engineers and have direct ownership of features that move the company from an assisted-sales model to a tech-run one for the long tail of our client base. This team owns two of the highest-leverage surfaces in the Client App: how clients see pricing and how they book without manual intervention. Rates sit at the center of every freight decision, and you will build the systems that power rate visibility, quoting, and pricing intelligence across ocean, air, and trucking. You will also help build the infrastructure that integrates AI-powered automation into the booking flow. This is a rare opportunity to build the "front door" of an $8.6 trillion industry, turning the complexity of global trade into a seamless digital experience for thousands of shippers. You Will • Design, develop, test, deploy, and maintain systems within a microservices architecture that power rate visibility and autonomous booking., • Own the entire lifecycle of a feature: from database schema design and scalable backend APIs to building the React-based frontend applications our customers use., • Support the integration of AI models and automated workflows to make the pricing and booking experience increasingly intelligent., • Collaborate with engineering, product, and design to translate complex business problems into elegant, production-ready technical solutions., • Contribute to code reviews to maintain high quality standards, share knowledge, and mentor peer engineers., • Build highly available, secure, and distributed systems that can scale with Flexport's global volume., • Rapidly build and launch products incrementally, leveraging best practices around CI/CD and shipping to production dozens of times per day., • Ensure high-quality standards by incorporating metrics, monitoring, and applying learnings from post-mortems to all services.You Should Have, • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience., • 3+ years of professional software engineering experience with a proven track record of shipping production-grade applications., • Full-Stack Capability: You are comfortable owning a feature from end-to-end: working with databases, backend services (Java/Ruby), and frontend frameworks (React)., • Technical Rigor: A passion for simple, well-tested code that is easy to extend and hard to break., • AI Familiarity: Experience or interest in working with AI APIs and building software that leverages machine learning models to automate user tasks., • 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns., • Proficiency with modern programming languages: specifically Java, Ruby, or TypeScript., • Proficiency with deploying, monitoring, and maintaining production services on cloud infrastructure (AWS).It's a Plus If You Have, • Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS., • Experience in fintech, pricing engines, or booking systems., • Experience in logistics, supply chain, or freight technology., • A bias for action: When you see a problem, you fix it., • Excellent written and verbal communication skills: you can convey technical ideas in common terms to business stakeholders and product managers. #LI-onsite The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position in the posting's respective region. Our salary ranges are determined by role, level, and location. Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training. The US base salary range for this position (this does not include bonus, equity and benefits):$147,000—$183,750 USDCommitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at for additional information.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will..- Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.- Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.- Automate the training, testing and deployment processes for machine learning models.- Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.- Ensure compliance with security and data privacy standards in all MLOps activities. Qualifications:- 3-5 years of experience in MLOps, DevOps or a related field.- Bachelor’s degree in Computer Science, Data Science or a related field.- Strong understanding of machine learning principles and model lifecycle management.- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.- Familiarity with containerization and orchestration tools such as Kubernetes and Docker.- Knowledge of CI/CD pipelines, automation tools and version control systems like Git.- Strong problem-solving skills and ability to troubleshoot complex issues.- Experience with monitoring tools and practices for model performance in production.- Ability to work collaboratively in cross-functional teams. Bonus/nice to have: - Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.- Knowledge of big data technologies like Apache Spark or Hadoop.- Familiarity with data engineering practices and tools.- Experience with A/B testing and model validation in production environments.- Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus.The US yearly salary range for this role is: $157,000 - $234,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency. Responsibilities: • Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures., • Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators., • Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption., • Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry., • Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products., • Work closely with other software and hardware engineers to develop the next generation of deep learning software., • 10+ years of experience developing software for a variety of highly parallel architectures., • Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs., • Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity., • Understanding of Deep Learning fundamentals., • Strong development skills in C/C++, Python., • Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority., • Computer Science, Engineering, or related degree; preferably MS or PhD., • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way.To learn more visit: On Tools, we build software tools that solve Waabi-specific problems and accelerate development. We have a relatively unique set of skills within the software organization that lets us build those tools. The Tools team owns and maintain services that have been built. In this team you will improve on our existing suite of services, and expanding it with new tools. You will...- Lead technical and architecture discussions, collaborating with Researchers and Engineers.- Mentor other software engineers via code reviews, technical design reviews, and sharing general software development best practices.- Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.- Build and maintain interactive web tools including interactive simulation, custom labelling tools, data annotation tools, dataset curation tools, result comparison tools, and more. Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering or related engineering disciplines.- 5+ years of industry experience developing production quality software.- Experience with modern web technologies/libraries for building responsive web applications. Examples: TypeScript, React, or similar languages and tools.- Experience with a variety of backend technologies and languages. Examples: Go, Python, Rust, C++.- Experience with cloud infrastructure such as AWS or GCP.- Ability to learn new technologies quickly.- Empathy for the people who will use the tools you create and maintain.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/ nice to have: - Experience working with container and cloud infrastructure and managing infrastructure-as-code.- Experience with 3D visualization (WebGL) / real-time interactive systems.- Experience with web visualization libraries such as D3.js, three.js, or similar.- Previous experience or passion in UX/design.- Experience with software development tools including build system, version control, continuous integration, containers, packaging, profiling, debugging, code review, linting, test automation, and test coverage tools.- Experience in ML and self-driving.- Experience working with robotics or machine learning research teams.- Experience working in an Agile/Scrum environment. The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role Description:We are seeking a Senior ML Scientist/Engineer to design models that operate on multimodal time-series sensor data in highly resource-constrained environments. You will develop algorithms that balance accuracy with strict power and memory limits, helping advance the next generation of Gridware’s edge intelligence. This role blends applied research, model optimization, and low-level implementation in collaboration with hardware and firmware teams. Responsibilities • Execute end-to-end ML workflows, including exploratory data analysis, feature engineering, model training, evaluation, and optimization., • Design and evaluate machine learning and DSP algorithms that meet strict power, memory, and latency constraints on embedded hardware., • Conduct research and literature reviews on edge ML, resource-constrained inference, and efficient training techniques., • Partner closely with hardware, firmware, and product teams to ensure seamless integration of models into the full system. Required Skills, • MS or PhD in Computer Science, Electrical Engineering, or a related technical field., • 3+ years of experience developing and deploying production ML models, on-device., • 3+ years of applied research experience in ML or algorithm development., • Hands-on experience working with physical sensors and modeling time-series data., • Strong foundation in ML architectures and on-device algorithm design for real-world systems.Bonus Skills, • Familiar with DSP algorithms and C/C++ for resource-constrained embedded systems., • Experience porting ML models from Python frameworks to firmware-level implementations.

Job DescriptionCompany Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Director of Discovery AI Partnerships will play a critical leadership role in shaping and executing AbbVie’s external AI innovation strategy in Discovery. This role sits at the intersection of AI technology, drug discovery, and strategic partnerships, and is responsible for leading complex AI‑centric external collaborations from sourcing through diligence and deal execution. Reporting to the Head of Discovery AI Partnerships, the Director will operate with a high degree of autonomy and serve as a strategic thought partner to senior stakeholders. This role is ideal for a mission-driven leader who is passionate about science, understands the real-world impact AI solutions can deliver, brings a practical, down-to-earth approach, and is motivated by the potential for AI-enabled innovation to create meaningful benefits for patients. Key Responsibilities: • Deal sourcing: Closely monitor, interpret, and predict the evolving landscape and trends in AI and pharmaceuticals innovation, as they relate to all key therapeutic areas of AbbVie. Proactively search for, identify, and evaluate potential partnering opportunities from biopharma companies, AI companies, academic institutions, other non-profit research institutes, and life science venture capital investors globally (US, Europe, China, others), • Diligence: Lead end-to-end scientific, technical, and strategic diligence for a wide range of AI-focused partnerships (e.g., with AI-driven drug discovery companies, Big Tech, research labs focused on foundational LLMs, data companies, academia), including hands-on technology assessments, market analysis, and risk evaluations, • Pilots, benchmarks, and technical evaluations: Design, negotiate, conduct, and analyze the results of pilots, benchmarks, and technical evaluations of AI models applied to drug discovery as part of the core diligence process to inform our investment decision. Technical depth to structure and conduct these pilots is critical part of this role., • Deal flow management: Collaborate with key stakeholders and cross-functional teams to drive and ensure effective communication, efficient decision-making, and completion of AI/ML-related partnerships / deals in a timely manner., • Apply strong scientific judgment and product‑oriented thinking to assess differentiation, scalability, integration potential, and long‑term value of AI platforms., • Synthesize complex technical and scientific findings into clear, decision‑enabling recommendations for senior leadership and governance forums., • Stay at the forefront of emerging AI trends and advancements in biopharma to inform strategic decision-making., • Develop and maintain a strong network of AI experts, thought leaders, and innovators to ensure AbbVie remains at the forefront of AI developments., • Proactively participate and represent AbbVie in industry forums, conferences, and consortia to strengthen external engagement and visibility in AI innovation. Qualifications, • Degree in Computer Science, Machine Learning, AI, Statistics, Mathematics, Computational Biology, Computational Chemistry, Bioinformatics, Physics, Engineering, or related quantitative discipline., • Bachelor’s: 12+ years of relevant experience, including in AI/ML applications in life sciences or healthcare OR, • Master’s: 10+ years of relevant experience, including in AI/ML applications in life sciences or healthcare OR, • PhD: 7+ years of relevant experience, including AI/ML applications in life sciences or health., • Highly motivated with strong organizational and communication skills, excellent work ethic, and the ability to work independently as well as collaboratively in a team environment., • Experience leading AI-focused partnerships, external collaborations, or technology diligence within biopharma, biotech, healthcare, technology, or investment organizations; or strong product management or platform leadership experience within AI-native or technology companies., • Strong strategic judgment, technical fluency, and ability to influence without authority., • Management consulting experience at a Top-Tier consulting firm a plus., • Experience applying AI in therapeutics discovery, including agentic AI approaches, strongly preferred. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of thisposting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless anduntil paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job DescriptionAbout Tahoe TherapeuticsTahoe Therapeutics is a biotechnology company pioneering a fundamentally new approach to drug discovery, one that begins with the biology of real patients. Our Mosaic platform is the first to make in vivo data generation scalable, with single-cell resolution, allowing us to map how drugs affect patient-derived cells in the body across a wide range of biological contexts. We are building the world’s largest in vivo single-cell perturbation atlas and using it to train multimodal foundation models that learn the context-dependent nature of gene function, disease progression, and drug response. By combining cutting-edge machine learning with the most biologically relevant datasets ever assembled in drug discovery, our mission is to find better drugs, faster and bring them to more patients who need them. Your roleWith Tahoe-100M, we solved one of the fundamental bottlenecks in building a virtual model of the cell: generating massive, perturbation-rich, single-cell datasets that capture real biological causality. With Tahoe-x1, we removed the second bottleneck: creating a modern platform for rapid iteration on model architectures and designs in a cost-efficient manner and at scale. At Tahoe, we embody a simple philosophy: build in the open, shoot for the moon, and we’re looking for people who want to push the frontier of what’s possible. As a Senior Machine Learning Engineer, you will play a leading role in designing the next generation of foundation models of gene regulatory networks powered by Tahoe’s large scale single-cell datasets such as Tahoe-100M and beyond. This role is well-suited for someone with a strong background in machine learning and statistics, and an interest in applying cutting-edge breakthroughs in ML to meaningful problems in drug discovery. We are looking for non-incremental thinkers with the skills to help build models that can make a real impact on drug discovery.Qualifications - Required • Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience., • Exceptional engineering skills to iterate quickly on data processing and training pipelines, • Experience in building, testing, training, and deploying modern neural network architectures such as Transformers., • Experience with frameworks like PyTorch, Tensorflow, Keras, JAX and the ability to write hardware optimized code for distributed trainingQualifications - Desirable, • Experience with distributed deep learning using frameworks such as HF Accelerate, Deepspeed, Composer, TorchTitan, Megatron etc., • Experience with training large neural networks on multiple compute nodes.Key Responsibilities, • Stay at the forefront of ML and computational biology research and rapidly adopt state-of-the-art techniques to train AI virtual cell models on our massive single cell datasets., • Work together with ML Scientists to develop the next generation of compute optimized models like Tahoe-x1.Benefits, • Unlimited Paid Time Off (PTO)., • Monthly Lunch budget, • One-time Office set up budget

Job Description Position Title: Senior Fullstack Engineer Location: San Francisco, CA Time Type: Full Time The Opportunity: Ohalo is seeking an experienced Senior Fullstack Engineer to build and evolve internal platforms that power our breeding, automation, and machine-learning workflows. This role spans backend services, data systems, web applications, and mobile tools, enabling scientists, engineers, and operators to interact with complex systems in reliable, intuitive ways. You'll focus on internal tooling, system integration, and platform reliability—building the connective tissue between robotics, ML pipelines, and human workflows. Responsibilities: • Design, build, and own internal platforms and infrastructure used by science, ML, and automation teams., • Develop and maintain backend services and APIs using Python (FastAPI) that support web, mobile, and ML-driven workflows., • Build and maintain fullstack internal applications, including:, • Web frontends (e.g., React), • Mobile applications using React Native for operational and field workflows, • Design and operate cloud infrastructure on GCP, including networking, compute, storage, and IAM., • Manage infrastructure-as-code (e.g., Terraform, Pulumi) and deployment pipelines., • Build and evolve scalable data platforms using BigQuery, Python, and Spark., • Implement and maintain service-oriented and event-driven architectures using Pub/Sub, Kafka, and related tooling., • Partner with ML engineers to support model deployment, orchestration, and production integration., • Establish and maintain observability, reliability, and security across services and infrastructure (logging, metrics, alerting)., • Improve developer experience through better abstractions, tooling, CI/CD, and documentation., • Bachelor's degree in a technical field (Computer Science, Engineering, or similar)., • 5+ years of experience as a Fullstack, Platform, Backend, or Infrastructure-oriented Engineer., • Strong backend experience with Python and frameworks such as FastAPI., • Hands-on experience operating cloud infrastructure on GCP (preferred) or AWS., • Experience with infrastructure-as-code, CI/CD pipelines, and production deployments., • Experience designing and operating service-oriented and event-driven systems., • Familiarity with messaging and streaming platforms (Pub/Sub, Kafka)., • Strong systems thinking, with the ability to reason across product, platform, data, and infrastructure layers., • Comfortable working independently in a cross-functional, distributed environment., • Proficiency with frontend development (e.g., React) and mobile development using React Native. About Ohalo: Ohalo™ aims to accelerate evolution to unlock nature's potential. Founded in 2019, Ohalo develops novel breeding systems and improved plant varieties that help farmers grow more food with fewer natural resources, increasing the yield, resiliency, and genetic diversity of crops to sustainably feed our population. Ohalo's breakthrough technology, Boosted Breeding™, will usher in a new era of improved productivity to radically transform global agriculture. For more information, visit . Notes: If you previously applied for a job at Ohalo Genetics, we encourage you to restate your interest in the position by submitting your application. Ohalo is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Ohalo is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. No visa sponsorship is available for this position at this time. This organization participates in E-Verify. Posters linked here. No recruiters, please.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Hungarian, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Dutch, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Portuguese (Portugal), • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Finnish, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionScope of RoleAs a founding Data & Operations Engineer on our small, senior-only team, you will be defining and working on the core systems and workflows that feed data across our internal architecture and beyond. Your architecture and processes will ultimately:Allow your fellow engineers to aggregate critical product data and platform telemetry into a unified analytics platform. Enable our FinOps team to ensure consistent, reliable ledgers across a number of financial partners and accounts. Empower our Fraud / AML (Anti-Money Laundering) team to build high-quality risk models and workflows by shipping clean, understandable data models into our internal decisioning platform. With our day-one distribution partners, team of highly experienced operators and engineers, and solid financial backing, we are excited to launch and looking for more like-minded engineers to bring Green to the world.What You'll Do Use your expert knowledge in Terraform, dbt, and AWS products to ensure data and applications alike are built on a solid, robust foundation Define safe and secure Least Access patterns that allow man and machine alike to get the data they need when they need it, preserving data lineage and ensuring data governance as part of the regulatory and compliance ecosystem we adhere to Document and educate the rest of the engineering team in the care and feeding of high-quality infrastructure systems that will support our global user base What We Value Ownership: You work deliberately and completely to provide appropriately scoped solutions to the issues we face as a growing FinTech organization Collaboration: We communicate freely and openly to make sure both code and company are at the level we want it to be Motivation: You have the experience and self-management to set goals and expectations that align with the rest of the team to reliably ship product and shape the company everydayRequirements Extensive hands-on experience building scalable data architectures in a consumer-oriented FinTech environment using Terraform, dbt, and SQL Expert-level knowledge of data-centric development patterns for writing and validating various flavors of code deployed across internal and hosted environments alike Fluent technical communication, especially written, for AI and non-SME consumption 5+ years building and shipping data pipelines and platforms Experience at banking/credit card/crypto/remittances/lending startups Experience with data modeling, ETL/ELT, or event-driven systems Experience generally across the backend: working with Postgres, Redis, AWS, etc.Bonuses You might be an especially good fit if you have:Data visualization and storytelling techniques Deep expertise with full-stack applications / machine learning Specific experience with global payments, ledgering, and other user-facing FinTech applications

Job DescriptionAbout Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About You and the Role Zipline is building the world's largest autonomous logistics system, delivering vital medical and commercial supplies across the globe. As we scale our operations and extend into more complex, safety-critical environments, the ability to validate and prove our autonomy performance at scale becomes absolutely essential. We're looking for a deeply technical software engineer to join the Autonomy Validation team — a core team responsible for building the infrastructure, tools, and frameworks that support software validation across the entire Autonomy organization. This includes planning, perception, control, and all of the decision-making logic that powers our self-flying aircraft. Our autonomy stack is highly custom-built, and while that gives us unmatched control and performance, it also means standard out-of-the-box testing tools don't work. In this role, you'll take ownership of developing robust internal platforms for validation — enabling both simulation at scale and rigorous scenario testing — so that autonomy engineers can ship with confidence. This is not a QA role. It's a foundational software engineering position building critical systems that will directly shape how we test, verify, and deploy autonomy safely around the world. What You'll Do • Build and own the infrastructure for validating autonomous features and system performance across planning, perception, and control., • Design and develop simulation tools and scenario generation for large-scale and high-fidelity testing of autonomy under real-world and edge-case conditions., • Develop custom tools for validation and testing of autonomy components that plug into our internal autonomy development stack., • Create scalable, reliable, and automated solutions for running, tracking, and analyzing thousands of validation tasks across autonomy org., • Collaborate deeply with:, • Autonomy engineers, to understand how system behavior should be evaluated., • Systems and data engineers, to ensure metrics, safety thresholds, and requirements are codified in test infrastructure., • Flight test and QA teams, to connect real-world results back into test tools and CI loops., • Establish best practices for software release validation, helping ensure our autonomy stack is safe, measurable, and production-ready., • Contribute to internal docs, standards, and validation workflows that scale across the autonomy organization., • Define validation methodologies and metrics, determining how new autonomy features should be evaluated and measured in simulationWhat You'll Bring, • 5+ years of experience building software systems for simulation, testing, or safety validation — ideally in robotics, autonomy, aerospace, or other real-time, safety-critical domains, • Strong software engineering skills with proficiency in C++, Rust, or C (Python is a plus for tooling and scripting), • Hands-on experience building or working with simulation systems for robotics or autonomous systems, particularly for testing or validation, • Experience building tools, platforms, or infrastructure used by other engineers, • Understanding of validation methodologies, including defining metrics, evaluating system behavior, and testing complex electromechanical systemsNice to Have, • Experience with high-fidelity simulation or scenario generation frameworks, • Experience with large-scale or distributed systems (e.g., cloud infrastructure, Kubernetes, AWS), • Familiarity working with systems engineering concepts (requirements, safety constraints, metrics), • Exposure to autonomy stacks (planning, perception, control), • Some exposure to machine learning systems (not required)What We're not Looking For, • Primarily MATLAB/Simulink-based simulation experience, • Roles focused mainly on systems engineering without hands-on software development, • Infrastructure- or DevOps-focused roles without experience in autonomy or simulation, • QA/QC-focused verification roles without significant software engineering ownershipWhat Else You Need to Know The starting cash range for this role is $190,000 - $230,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Job Description . Applied AI/ML Engineer San Francisco, New York, Kansas City, or Remote (US) Replica provides data about the built environment and ways people interact with it. With better data, human-context and an intuitive design, Replica helps public and private sectors make informed, effective, and responsive decisions. By showing how people live, move and work, we contextualize hard choices, allowing our clients to see around corners and understand the trade-offs surrounding their decisions. Whether for a city planner increasing public transit to underserved neighborhoods or for a grocery chain evaluating where to open a new location, Replica’s insights lets clients make more informed, people-centered decisions. We spun out of Alphabet in 2019 and recently secured series B funding from venture firms including Founders Fund, Innovation Endeavors, Sidewalk Labs, Firebrand Ventures, and Revolution’s Rise of the Rest Seed Fund. Today, we are a team of 34 employees with offices in San Francisco, New York, Kansas City and Remote. We value our customers, believe in being resourceful, and work in service of each other to scale our product. As we build our team, we are committed to pursuing and bringing together a diverse workforce and creating an environment of inclusion. We value our differences and we encourage all to apply. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. The Role We’re looking for an Applied AI/ML Engineer to help design, implement, and scale advanced models that power Replica’s urban simulation and analytics products. This role is scoped at the Senior level or above: we expect candidates to operate at least at a Senior Engineer level, and for exceptional candidates, we are open to Staff or Principal-level. You’ll sit at the intersection of research and engineering, translating applied methods into production-ready models that deliver meaningful insights about mobility, land use, and activity patterns across the US. Unlike our infrastructure-oriented teams, your work will focus on algorithms, modeling, and applied AI/ML techniques that improve Replica’s products and unlock new capabilities for customers. Organizational Relationships Reports to: Director of Engineering Works closely with: Product and Data Science teams and other engineers on the Data Production team Collaborates with: Customer Success and Strategy teams to ensure models align with product needs and customer use cases Responsibilities • Design, prototype, and implement applied AI/ML models for mobility, activity, and behavioral modeling at scale., • Drive improvements to core models for routing, mode choice, demand estimation, and geospatial forecasting — balancing research innovation with production readiness., • Partner closely with Product and Data Science leadership to set technical direction for modeling initiatives, ensuring they align with customer and business needs., • Evaluate new data sources (e.g., vendor-provided mobility data, traffic sensors, geospatial layers) for quality, coverage, and fitness-for-use in Replica’s models., • Develop new algorithms to fuse Replica’s proprietary data with external sources (e.g., traffic sensors, land use, census, streaming data)., • Evaluate model performance, define success metrics, and iterate quickly to improve accuracy, robustness, and fairness., • Collaborate with data production engineers to transition prototypes into robust, production-quality systems used nationwide., • Contribute to modeling frameworks and shared libraries, mentoring peers and raising the technical bar across the team., • Stay current with advances in machine learning, optimization, and geospatial modeling, applying them pragmatically to Replica’s challenges. Minimum Qualifications, • Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or related field; advanced degree (MS/PhD) preferred., • 4+ years of professional experience in applied ML/AI, research engineering, or related roles., • Strong Python skills with experience in ML libraries (PyTorch, TensorFlow, scikit-learn) and numerical computing (numpy, pandas, scipy)., • Experience designing, training, and deploying AI/ML models in production., • Hands-on experience with large-scale data sets, especially geospatial or time-series data., • Familiarity with distributed computation frameworks (Dask, Spark, Ray) and cloud environments (GCP preferred)., • Proven ability to communicate technical decisions and tradeoffs clearly to both technical and non-technical stakeholders.What We Value, • We work in the service of others, • We understand that talent + diversity + curiosity + relentlessness wins, • We believe walking > talking, • We operate with thoughtful urgency, • We communicate openly and directly, • We build products people useBenefits, • Our people! We work as a team and are excited to contribute to city planning, • Competitive salary based on experience and potential for impact, • Equity at an early stage startup, • Health benefits including medical, dental, vision, and FSA options, • 401k account + employer safe harbor contribution, • Offices in San Francisco, CA, New York and Kansas City, • Replica is committed to fair and equitable compensation practices., • The base salary range for this position is $157,500 to $239,800. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to relevant qualifications, depth of experience, skill set, certifications, training, education, and specific work location. The compensation packages may be adjusted based on the candidate’s work location, due to differences in the cost of living for the given location. Our position titles may also span multiple career levels., • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., • To perform this job successfully, an individual must be able to perform each essential function satisfactorily., • The requirements listed are representative of the knowledge, skill and/or ability required., • Ability to operate at both a strategic/conceptual level and at a detailed, operational level metrics driven; highly disciplined, • Must have strong interpersonal skills, maturity and good judgment and be capable of communicating with a diverse range of individuals, • A hands-on, action-oriented approach that fits well with the entrepreneurial, fast-paced culture, • Engaging leadership style that builds and sustains credibility with colleagues, clients and other stakeholders Powered by JazzHR OmyiLKdP3z

Job DescriptionJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier – this isn’t it. The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in the sleep fitness and personal health space. You’ll work closely with a cross-functional team to scope problems, build end-to-end prototypes, validate with data, and iterate toward something we can ship. Along the way, you’ll receive hands-on mentorship, sharpen your technical toolkit, and present your results to leadership. Where appropriate, you may also develop your work into a publication. We’re seeking interns who care about outcomes, think in systems, and make data-driven decisions. If you’re excited to learn fast, collaborate deeply, and deliver meaningful improvements for users, we’d love to work with you. What You'll Help Build Example topics include: * Multimodal Activity Understanding: Build and fine-tune a vision- and physiology- foundation model that detects daily activities (workouts, meals, naps) from wearables, Pod signals, and phone context to explain sleep trends. * Next-Gen Time-Series Forecasting for Sleep: Push state of the art on multivariate forecasting to predict sleep stages, heart rate, HRV, and recovery days ahead - robust to missing data and lifestyle shifts. * Lifestyle-to-Sleep Simulation (“Digital Twin”): Create a high-fidelity simulator that models how choices (caffeine, exercise timing, alcohol, travel) ripple into tonight’s sleep and tomorrow’s readiness. * Adaptive Pod Thermoregulation: Learn personalized cooling/heating policies that react to micro-events (restlessness, awakenings) in real time - balancing comfort, sleep continuity, and energy. * Privacy-Preserving Personalization: Train better models without centralizing raw data: federated fine-tuning with differential privacy for sleep staging, anomaly detection, and forecasting. What You'll Need to Succeed * Minimum Qualifications * Working toward an undergraduate, graduate or doctoral degree in computer science, engineering, data science, applied mathematics, or equivalent. Doctoral degree paths are preferred for research focused internships. * Preferred Qualifications * It’s helpful if you meet one or more of the following qualifications, but it isn’t a requirement * Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or Java * Experience with ML libraries, such as TensorFlow, PyTorch, CoreFlow, and Sklearn * Practical knowledge related to building and adapting algorithms for machine learning, time series analysis, multimodal sensing, foundation model fine-tuning, reinforcement learning and related areas * Familiarity with crafting, prototyping, and evaluating interactive systems * Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others * Problem solving skills * Applied ML Engineering internships: Experience with integrating research prototypes into production applications. Proficiency conducting ethnographic or other situated studies of human interaction with or through interactive technologies. Experience crafting, conducting, analyzing, and interpreting experiments and investigations * Demonstrated expertise with proven publication or track record in at least one of the areas: machine learning, statistics, econometrics, operations research, quantitative marketing, causal inference, time series analysis, stochastic modeling, optimization and decision theory * Research-Focused internships: Currently pursuing a doctoral degree. Research experience in Machine Learning and a demonstrable record of publishing academic research in peer-reviewed venues Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with: * Full access to health, vision, and dental insurance for you and your dependents * Supplemental life insurance * Flexible PTO * Commuter benefits to ease your daily commute * Paid parental leave At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Job Description Join the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. We’re a team that puts in the extra effort, not because it’s required, but because we care about the impact of our work. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier – this isn’t it. The role We’re looking for a Machine Learning Engineer to build and ship consumer-facing AI systems that power personalization, coaching, and next-generation “sleep intelligence.” You’ll work across data, modeling, product, and engineering to translate research into reliable, measurable improvements for members. This role is ideal for someone who loves end-to-end ownership: from problem framing → prototyping → offline evaluation → online experimentation → production deployment → iteration. How you’ll contribute * Build and deploy ML models that improve sleep experiences through personalization, prediction, and behavior understanding (e.g., readiness forecasting, event detection, individualized recommendations). * Apply and adapt foundation-model capabilities to real product workflows (LLM + tools/RAG, multimodal modeling, policy learning), including MCP-style integrations where helpful. * Develop user behavior models that connect longitudinal signals (sleep, environment, routines) to actionable interventions - grounded in robust experimentation and measurement. * Design evaluation strategies (offline metrics, slice-based analysis, calibration, reliability, fairness) and partner with Product to run high-quality online experiments. * Productionize models: scalable training/inference pipelines, model monitoring, drift detection, alerting, and continuous improvement loops. * Collaborate with cross-functional partners (Product, Mobile, Backend, Clinical) to scope requirements and ship high-impact features. What you need to succeed Minimum Qualifications * 2+ years building ML systems in production, ideally for consumer-facing products. * Strong ML fundamentals across supervised learning, sequence/time-series modeling, and modern deep learning. * Hands-on experience with large-scale model training and evaluation (PyTorch/TensorFlow/JAX), and strong Python engineering practices. * Experience with personalization systems (ranking/recommendations, segmentation, lifecycle modeling, propensity/behavior modeling, causal/experiment-aware thinking). * Fluency with data tooling (SQL, distributed compute such as Spark/Ray, and cloud storage/compute). * Strong product sense: you can translate ambiguous goals into measurable outcomes and iterate quickly with stakeholders. Bonus Points * Experience applying LLMs/foundation models to product features (tool use, retrieval, structured outputs, guardrails, evals). * Experience with multimodal data (sensor signals + context) and/or health/biometrics data. * Experience with privacy-preserving approaches (on-device/federated learning, differential privacy, data minimization). * Experience designing experimentation frameworks or causal inference approaches for personalization. Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Pay grows rapidly as you accumulate experience with Eight Sleep and translate it into concrete impact. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with other benefits. Learn more at eightsleep.com/careers At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Job Description At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Senior Machine Learning Engineer (Recommendation Systems) Philo's recommendation system improves user engagement and customer satisfaction by tailoring content discovery to individual preferences and viewing habits. We want users to be confident that Philo will have something they want to watch every time they open the app. We are seeking a Senior Machine Learning Engineer to lead our content personalization efforts, shaping experiences that impact millions of users. In this role, you will research, design, and build advanced algorithms and large-scale systems that power Philo's recommendation engine. As a senior member of a growing team, you will tackle complex machine learning challenges and collaborate with data science, product, infrastructure, and backend engineering teams to deliver innovative, data-driven personalization solutions. Your work will directly impact content discovery, deepen user engagement, and drive long-term retention. Responsibilities: • Lead development of recommendation systems: Design, build, and optimize advanced algorithms for SVOD, Live TV, and FAST personalization., • Drive ML innovation at scale: Conduct deep dives into models and system components, ensuring performance, scalability, and robustness across regions and product areas., • Own the ML pipeline: Build and maintain reliable pipelines for data extraction, feature engineering, model training, testing, and deployment., • Collaborate with Product, Data Science & Engineering: Translate product requirements into ML solutions, set clear expectations, and deliver measurable improvements in user engagement., • Advance deep learning in recommendations: Apply frameworks such as TensorFlow, PyTorch, or similar to develop state-of-the-art recommendation models., • Experimentation: Conduct rigorous A/B testing and ML experiments to understand model performance and iterate rapidly based on feedback., • ML Vision and Roadmap: Contribute to the strategic planning of the recommendations roadmap, aligning engineering efforts with business objectives and user needs., • 8+ years of experience in backend engineering and/or data science, including 4+ years focused on machine learning. Experience with recommendation systems is a big plus., • Strong coding skills in Python, as well as proficiency in using ML frameworks like PyTorch or TensorFlow., • Excellent analytical and problem-solving skills, with the ability to translate complex technical challenges into business solutions., • Proven track record of leading projects and delivering impactful machine learning solutions., • Strong communication and documentation skills; capable of explaining complex, technical concepts to non-technical stakeholders and to diligently document your work to help the team as a whole learn and move quickly. At Philo, we're a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture. We're committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We're committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email and we'll work with you to meet your needs. Philo offers 70+ top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. Philo is headquartered in San Francisco, with offices in New York City and Cambridge, MA. Our leadership team includes alums from HBO, Tubi, and Meraki, and is backed by NEA and industry partners like Warner Brothers Discovery, Viacom, AMC, and A&E. Join us at Philo and be part of a team that's shaping the future of TV! Status: Full-time Location: San Francisco, CA or remote within the U.S. Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location: • San Francisco, New York City: $175K - $235K, • Boston, DC Metro, Los Angeles, Seattle: $165K - $225K, • Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $155K - $215K, • Full health, dental and vision coverage for you and your family, • 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay), • Flexible working hours, • Up to 20 weeks of fully paid parental leave, • Unlimited paid time off for vacation and sick leave, • $2,000 annual vacation bonus (we pay you to take a two week vacation), • $5,250 annually for professional development and educational assistance, • $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter), • $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco), • Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps, • Dog-friendly office Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job Description Senior Data Architect – Data Engineering Location: San Francisco, CA Reports To: VP of Engineering FLSA Status: Exempt Employment Type: Full-Time Compensation: $140,000 – $160,000 annually (based on experience) About Cargomatic Cargomatic is transforming the local trucking industry with cutting-edge technology that connects shippers and carriers in real time. Every product that humans build, grow, or sell has spent time on a truck. Local trucking is the lifeblood of every regional economy, yet this $82 billion industry still relies heavily on outdated systems. Cargomatic is bringing transparency, efficiency, and intelligence to local freight through modern technology and data-driven solutions. We are solving complex, real-world logistics problems every day. If you thrive in a fast-paced environment, enjoy building scalable systems, and want to help shape the future of AI-powered logistics, we'd love to meet you. Position Summary Cargomatic is seeking a Senior Data Architect – Data Engineering to design and build scalable, cloud-native data infrastructure that powers analytics, machine learning, and AI-driven applications. This role combines deep data architecture expertise with hands-on experience in modern data platforms and LLM-enabled application development. You will lead the design of enterprise-grade data models, architect RAG systems, implement agentic workflows, and integrate secure, production-ready LLM capabilities into our ecosystem. This is a high-impact role with significant ownership, visibility, and opportunity to shape the future of intelligent logistics technology. Key Responsibilities Data Architecture & Engineering * Design and build scalable, cloud-native data pipelines (batch and streaming) supporting analytics, ML, and AI-powered applications * Architect enterprise-grade data models across data lakes, warehouses, and real-time systems (Snowflake, Databricks, Kafka, DBT) * Define standards for data governance, reliability, performance, and cost optimization * Optimize storage formats and distributed data systems (Parquet, Delta Lake, Iceberg) AI & LLM-Enabled Systems * Develop Retrieval-Augmented Generation (RAG) systems integrating structured and unstructured enterprise data * Design and implement agentic workflows using frameworks such as LangChain, LangGraph, LlamaIndex, n8n, or similar * Integrate LLM APIs (OpenAI, Anthropic, or similar) into secure, production-ready applications * Implement guardrails, validation layers, monitoring, and evaluation frameworks to mitigate hallucination, prompt injection, and data security risks Backend & API Development * Build secure backend APIs (Python/FastAPI) to expose AI-powered capabilities * Ensure observability, monitoring, and cost controls across AI and data services * Contribute to microservices architecture and distributed system design Collaboration & Leadership * Partner cross-functionally with Product, Engineering, and Operations to translate business requirements into scalable technical solutions * Mentor junior engineers and contribute to architectural standards and best practices * Drive innovation in data engineering and AI-powered logistics systems Qualifications * Bachelor's degree in Computer Science or equivalent practical experience * 8+ years of software or data engineering experience in production environments * Strong expertise in data modeling, distributed systems, and scalable cloud architectures * Hands-on experience with ETL/ELT frameworks and streaming technologies (Kafka, Spark, HEVO, Snowflake, DBT, etc.) * Advanced SQL skills and deep understanding of modern storage formats * Proficiency in Python and RESTful API development * Experience integrating LLM APIs into production applications * Strong understanding of system reliability, observability, and cost management in cloud environments Desired Experience * Experience building RAG pipelines including embeddings, vector search, chunking strategies, and hybrid retrieval * Experience designing multi-agent or agentic AI workflows with orchestration frameworks * Knowledge of LLM evaluation, monitoring, and tracing tools (LangSmith or similar) * Experience with microservices architecture and distributed system design * Exposure to transportation, logistics, or supply chain domains * Active GitHub contributions or demonstrated passion for emerging AI and data technologies Why Join Cargomatic? We offer competitive compensation and a comprehensive benefits package, including: * Medical, Dental, and Vision insurance * 401(k) with company match * Flexible Spending Accounts (FSA) * Company-paid Life and Disability insurance * Flexible Paid Time Off (PTO) and company holidays * Paid Parental Leave * Employee Assistance Program (EAP) * Opportunity to build cutting-edge AI solutions in a high-growth logistics technology company * Collaborative, high-impact team environment Cargomatic is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all employees feel valued and empowered to succeed.

Job Description Mission Summary: As a Technical Lead Manager at Motional, you'll lead a team responsible for the development and delivery of core trajectory planning algorithms via numerical optimization for autonomous vehicles. In this role, you will be at the forefront of shaping the motion planning and control systems that enable our fleet to navigate complex environments safely, efficiently, and comfortably. As a key leader, you will drive the development and continuous performance improvements of cutting-edge trajectory generation algorithms, collaborate with cross-functional teams (Planning, Perception, Prediction, Localization, ML Products, and Systems Engineering), and mentor a talented group of highly skilled engineers to deliver state-of-the-art solutions. If you are passionate about autonomous driving and being part of our commercial launch this year, thrive on solving challenging real-world problems, and eager to make a significant impact in a rapidly evolving field, we want to hear from you! What you'll do: • Lead and scale a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization., • Drive commercial launch readiness for trajectory planning by delivering on-road driving behavior improvements (safety, comfort, and assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovation through state-of-the art methods., • Apply a rigorous, metrics-driven framework to quantify and improve on-road performance. Champion leveraging existing training and evaluation pipelines to ensure scalable, production-ready delivery., • Manage the computational efficiency and real-time performance of trajectory generation algorithms, ensuring latency budget compliance., • Lead the rapid triage and root-cause analysis (RCA) of critical fleet incidents, translating real-world edge cases into immediate algorithmic refinements and validation sets., • Oversee the successful execution of complex, multi-team initiatives, ensuring technical alignment from design through deployment while maintaining a rigorous standard for testing and validation to meet the high safety bars required for our commercial launch., • Coordinate with peer leads to provide technical leadership, making consequential decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction.Ensure technical excellence through rigorous design and code reviews while actively facilitating the professional growth and mentorship of your engineering team. Set and drive ambitious goals that challenge the team to deliver industry-leading trajectory planning solutions., • Define and negotiate quarterly and annual technical roadmaps aligned with company-level autonomy milestones in coordinate with project managers and execute plans on schedule. What we're looking for: • Proven Engineering Leadership: 2+ years of experience managing high-performing development teams, with a demonstrable track record of inspiring, mentoring, and coaching engineers and driving measurable productivity gains., • Ship-to-Production Mindset: Experience leading the delivery of production-quality algorithms in a high-stakes environment (Autonomous Vehicles, Robotics, or Aerospace). You know what it takes to move from a prototype to a commercially viable product., • Strategic Vision: Ability to look beyond the immediate deliverables to define and defend a balanced technical roadmap that balances long-term architectural health with the urgent needs of a 2026 commercial launch., • Technical Domain Expertise: Deep theoretical and practical expertise in numerical optimization and optimal control. You should be highly proficient in areas such as Model Predictive Control, nonlinear programming, and convex optimization applied to real-time trajectory generation., • Advanced Motion Planning: Significant experience solving motion planning problems under uncertainty, including interaction-aware planning with dynamic agents and complex environmental constraints. Experience with Machine Learning based approaches is a significant plus., • Full-Stack Robotics Context: Strong intuition for the entire robotics stack. You understand how upstream (Perception, Prediction) and downstream (Control, Actuation) systems impact trajectory feasibility and fleet safety., • Production-Grade Software Development: Expertise in Modern C++ development within a Linux environment, with a focus on writing high-performance, real-time, and safety-critical code., • Tooling Proficiency: Fluency in Python for rapid prototyping, data analysis, and visualization. Experience applying AI-augmented development workflows to large-scale Modern C++ codebases (e.g., agentic tools for multi-file refactoring, automated test generation, semantic code navigation, and code review acceleration) is strongly preferred. Experience with SQL or big-data frameworks for fleet-scale performance analysis is a significant plus., • Influence & Clarity: Exceptional communication skills, with the ability to translate complex mathematical concepts into actionable plans for cross-functional stakeholders and executive leadership., • Educational Foundation: Master's or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related quantitative field. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$240,000—$330,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50–$70/hour Location: Remote Commitment: 30–40 hours/week Role Responsibilities • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams., • Label and classify key behaviors, issues, and anomalies in network data., • Help define schemas and structure for large-scale data pipelines., • Interface directly with the client team to ensure data quality and relevance. Must-Have • Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.)., • Comfort with interpreting logs, events, and time-series metrics., • Upload resume, • AI interview based on your resume

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50–$70/hour Location: Remote Commitment: 30–40 hours/week Role Responsibilities • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams., • Label and classify key behaviors, issues, and anomalies in network data., • Help define schemas and structure for large-scale data pipelines., • Interface directly with the client team to ensure data quality and relevance. Must-Have • Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.)., • Comfort with interpreting logs, events, and time-series metrics., • Upload resume, • AI interview based on your resume

Job Description About Learneo Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, all united around a shared mission of supercharging productivity and learning for everyone. We attract and scale high growth businesses built and run by visionary entrepreneurs. Each team innovates independently but has a unique opportunity to collaborate, experiment, and grow together, and they are supported by centralized corporate operations functions, including HR, Finance and Legal. About QuillBot QuillBot was founded in 2017 with a mission to help students and professionals strengthen their writing. Today, we help over 56 million people around the world create great things. Whether you're writing, designing, coding, or collaborating, QuillBot is a place where anyone can create at the speed of thought. Our AI-powered tools help you think clearly, communicate effectively, and create beautifully—across every platform, in any format, at any skill level. If you're passionate about using technology to make the path from inspiration to execution more accessible, intentional, and relevant, come join us. Role Overview As Senior Director of AI, you will serve as the primary architect of QuillBot's intelligence layer, leading the evolution from a suite of AI tools to a unified, agent-driven AI-native creative platform. We are at an inflection point, transitioning rapidly from a collection of discrete capabilities into a cohesive system where users can move seamlessly from high-level intent to fully realized outputs across writing, research, and design. You will define and build the orchestration systems that unify QuillBot's products into cohesive, multi-step workflows—enabling intelligent systems to plan, coordinate, and execute complex creative tasks. This role will define how intelligence is integrated across every QuillBot product experience. Reporting to the VP of AI, you will lead both AI R&D and Applied AI teams, shaping the model stack, agentic infrastructure, and production systems that power tens of millions of users. This role operates at the intersection of research, AI alignment, systems architecture, and product strategy, requiring technical depth, execution velocity, and the ability to drive alignment across Engineering, Product, and executive leadership. This role sits within QuillBot's senior leadership team and carries significant influence over QuillBot's technical direction, strategy, and tactical execution. In your first six months, you will: • Ship and iterate on production agentic workflows connecting QuillBot's core tools and surfaces, proving the orchestration architecture under real user load, • Make high-conviction technical bets on the model stack, compute strategy, and agent execution model, with written rationale that the org can build against, • Own the technical point of view on which ICP verticals and workflows justify agentic investment, and drive that conviction into AI, product, and engineering planning AI Architecture & Orchestration • Design and lead systems for intent recognition, task decomposition, and multi-step execution across QuillBot's product surfaces, • Define how agentic systems plan, coordinate, and execute workflows across a multi-surface application suite, • Establish standards for agent-native infrastructure, enabling product surfaces to be machine-readable and executableAI R&D & Multimodal Systems, • Lead research and development across text and multimodal domains, with an initial focus on text and image capabilities, • Build on QuillBot's existing strengths in NLP while extending into new modalities to create differentiated product experiences, • Make model strategy decisions across proprietary and third-party systems, balancing capability, cost, and shipping velocityApplied AI & Platform Operations, • Drive the shipping cadence for model updates, MLOps, and data pipelines across high-scale production, • Own system reliability and performance of the AI stack serving tens of millions of users worldwide, • Balance system performance, latency, and cost through informed decisions on compute economics and architectureLeadership & Cross-Functional Alignment, • Build and lead an integrated AI organization spanning R&D and Applied AI teams, • Partner with the VP of AI and senior leadership to define technical direction, evaluate trade-offs, and guide platform-level decisions, • Drive alignment across Engineering, Product, and Design to ensure adoption of agent-native standards, • Raise the quality bar across the organization, acting as a force multiplier for team performance and execution AI & Systems Expertise • Experience building and shipping agentic systems or orchestration platforms in production at meaningful scale, not prototypes or research demos, • Distributed Agency: deep expertise coordinating diverse agent populations (plan-based, scripted, and hybrid) within stateful environments, including task decomposition, intent routing, and multi-step execution, • State & Persistence: proven ability to design and operate systems that maintain sustained, context-aware agency across multi-session and multi-domain workflows, • Compute Economics: ability to optimize sophisticated planning logic against the constraints of latency, unit economics, and reliability at consumer scale, • Background in NLP and/or multimodal AI (text and image preferred), with the ability to guide applied research, evaluate model architectures, and make binding technical decisions on model strategy across proprietary and third-party ecosystemsLeadership & Execution, • Proven leadership of both AI R&D and Applied AI/MLOps teams within consumer product environments serving millions of users, • Track record of scaling AI systems and infrastructure from early-stage builds (0→1) into high-scale production (1→10), not just inheriting mature platforms, • Forms strong technical opinions quickly, updates them based on evidence rather than consensus, and translates AI capabilities into product direction and business impact, • Has built or reshaped AI organizations to match the demands of a rapidly evolving technical mandate, including hiring, restructuring, and raising the performance barCross-Functional Influence, • Drives alignment across Engineering, Product, and executive stakeholders through technical credibility and strategic clarity, not positional authority, • Experience with agent-to-tool communication frameworks or emerging standards (e.g., MCP, agent SDKs), • Contributions to peer-reviewed research or involvement in the broader AI research community, • Experience with browser-based or edge compute environments (e.g., WebGPU), • Background in creative, productivity, or prosumer software platforms, • Competitive salary and annual bonus, • Medical coverage, including full dental and vision, • Retirement savings plans, • Life and disability benefits, • Vacation & leaves of absence, • Annual family planning stipend, • Social responsibility program (volunteer time off and donation matching), • Developmental opportunities through education & developmental reimbursements & professional workshops, • Maternity & parental leave, • Hybrid & remote model with flexible working hours, • On-site & remote company events throughout the year, • Annual wellness stipend, • Monthly tech stipend, • Employee referral program For positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records. Other locations: IL, MA, NJ. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience! This role is eligible for hire in the US. We are a virtual-first company and have employees dispersed throughout the United States, Canada, India, Germany, and the Netherlands. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed. You may also be eligible to participate in our bonus program and may be offered benefits, and other types of compensation. #Learneo #LI-Remote #LI-JK1 In accordance with applicable pay transparency laws, we provide a good-faith base salary range for each role. Total compensation may also include equity, which is determined by role, level, and location. The base salary range for this role if filled within the following states is: California and New York Pay Range$249,000—$421,000 USDMassachusetts and Washington Pay Range$249,000—$378,000 USDMinnesota and New Jersey Pay Range$249,000—$337,000 USDColorado and Illinois Pay Range$218,000—$337,000 USDVermont Pay Range$218,000—$294,000 USD Equal Employment Opportunity Statement (EEO) We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.

Job DescriptionAera Technology is a pioneer in the growing category of Decision Intelligence Platforms and a Leader in the Gartner® Magic Quadrant™ for 2026 – the technology to digitize, augment, and automate decision-making processes with AI and machine learning. Through our AI decision automation platform, Aera Decision Cloud™, we are helping the best-known brands in the world make smarter, faster decisions. Privately-held and VC-funded, we have a global team of over 400 Aeranauts – and we’re growing. We deliver Decision Intelligence innovation and services that enable enterprises to automate and scale decision making with accuracy and speed. We continue to be the trusted choice of market leaders for our proven ability to generate value and unlock opportunities that were previously unattainable. We are looking for a high-impact, creative, detail-oriented, and organized Communications and Social Media Associate to support Aera Technology’s corporate communications and social media functions. This is a fast-paced, high-visibility role focused on amplifying Aera’s voice across media, influencer, and social channels within the high-growth AI technology landscape. Reporting to the Senior Director of Corporate Communications, you’ll work closely with cross-functional partners across marketing, product, and executive leadership to manage the day-to-day execution of PR/Communications and social media. The ideal candidate will be based in the SF Bay area, and able to work on-site at our San Francisco office 3-4 days per week. Responsibilities: Corporate Communications & PR • Own and maintain the communications calendar — tracking all initiatives, timelines, deliverables, and outcomes, while managing an inventory of shareable assets., • Own and evolve the media, analyst, and influencer database — researching new contacts, building targeted lists, and supporting outreach and pitch distribution., • Develop core communications content — including media and influencer pitches, executive quotes and talking points, briefing materials, customer use case summaries, and press releases., • Monitor and track press coverage — capturing relevant articles, identifying new media opportunities, tracking industry trends, and contributing to reporting and asset development., • Support the Decision Intelligence Podcast program — researching and securing guests, drafting topics and questions, and coordinating scheduling and recording logistics., • Own day-to-day management of Aera’s social media channels (LinkedIn and others), including content scheduling, publishing, and community engagement., • Develop and maintain Aera’s social media content calendar — coordinating with marketing, product, and communications teams to support key announcements, campaigns, and events., • Create and support social content development — partnering with the Content Director to draft posts, develop copy, and supporting assets aligned to Aera’s brand voice., • Monitor social channels and conversations — tracking brand mentions, industry trends, and engagement opportunities, and responding or escalating as appropriate., • Track and report on performance metrics — including reach, engagement, and follower growth, and surface insights to inform content strategy., • Stay current on social trends and platform updates — bringing forward recommendations to continuously improve performance and engagement.About You:, • 2+ years of experience in communications, public relations, and social media for B2B technology companies, • Strong written communication skills, with the ability to adapt tone and style across different formats and audiences (social posts, press commentary, executive messaging)., • Experience supporting PR workflows, including media and influencer engagement, and familiarity with industry tools (e.g., Muck Rack, wire services, and media monitoring platforms)., • Familiarity with major social media platforms (LinkedIn, X/Twitter, Instagram) and social media management tools (e.g., Hootsuite, Sprout Social, or similar)., • Highly organized with excellent attention to detail and project coordination skills — able to juggle multiple priorities and deadlines without dropping the ball., • A proactive, curious mindset: comfortable doing research, synthesizing information, and bringing ideas to the table., • Collaborative team player who can work effectively with cross-functional partners and build relationships with internal stakeholders., • Proficiency in Google Workspace and Microsoft Office., • Proficiency with AI tools to accelerate content creation and research workflows.Nice to Have:, • Experience in a B2B technology, SaaS, or enterprise software environment., • Exposure to PR agency environments or experience working with external PR partners., • Understanding of media relations and PR processes, including pitching, briefings, and coverage tracking., • Experience creating and managing content for a company LinkedIn page or similar corporate social channel.

Job DescriptionLandingAI is a leader in Agentic Document Intelligence. Our flagship solution, Agentic Document Extraction (ADE), replaces traditional OCR with layout-aware AI system that parses complex documents without the need for rigid templates. By providing visual grounding for full auditability, ADE enables high-stakes industries like financial services and healthcare to extract valuable data and to automate critical workflows with unmatched accuracy. In addition to document intelligence, we offer the LandingLens™ platform for vision-AI anchored computer vision applications including inspection, defect detection and robotics. About the Role: As a Software Engineer at LandingAI, you will build and maintain core web applications and services that power our AI-driven products. While you will not be responsible for developing machine learning models, you will work very closely with ML engineers to integrate ML capabilities into scalable, reliable, and user-friendly software systems. This role sits at the intersection of software engineering and applied AI, enabling ML innovations to reach customers through high-quality products.Key Responsibilities: • Design, develop, and maintain web applications and backend services that integrate ML-powered features., • Collaborate closely with Machine Learning Engineers and Product Managers to understand ML system requirements and translate them into robust software solutions., • Build reliable, scalable, and low-latency services that support ML inference, data workflows, and AI-driven user experiences., • Use LLMs to build scalable and reliable AI agents., • Own the full software development lifecycle: design, implementation, testing, deployment, monitoring, and maintenance., • Ensure high standards for code quality, testing, observability, and operational excellence., • Troubleshoot production issues and participate in on-call or support rotations when needed., • Mentor junior engineers and contribute to technical best practices across teams., • Act as a strong cross-functional partner between product, engineering, and ML teams.Required Qualifications:, • Minimum of 5 years of professional experience in software engineering., • Advanced skills in Python, web backend development, and building AI agents., • Knowledge of containerization tools (Docker, Kubernetes) or cloud platforms (AWS, GCP)., • In-depth understanding of web application architecture and API design principles., • Proven experience integrating with external services or intricate backend systems., • Experience working with LLMs to develop AI agents that are scalable and reliable., • Experience evaluating and benchmarking AI products., • Demonstrated ability to work autonomously, showing high ownership and accountability., • Excellent communication skills and experience collaborating effectively with diverse, cross-functional teams., • Flexibility to adjust working hours to accommodate the needs of a global team., • Experience using AI Coding Agents like Claude Code to develop reliable, scalable and high quality code.Valuable / Bonus Qualifications:, • Experience with ML frameworks like PyTorch., • Experience with serving ML models and LLMs (vLLM)., • Experience collaborating with Machine Learning (ML) or data teams., • Familiarity with ML concepts, including inference, model serving, latency considerations, and data pipelines., • Experience utilizing PostgreSQL, Object-Relational Mappers (ORMs), ETL pipelines., • Experience developing developer-facing tools or internal platform solutions.LandingAI Benefits:, • Stock Options – We want you to share in our success with equity grants., • Comprehensive Healthcare – Medical, dental, and vision coverage for you and your dependents.*, • Wellness Stipend – Support for your health and well-being, whether it’s fitness programs or self-care.*, • Lifelong Learning – An education stipend to help you grow and keep learning., • Generous PTO – We know life happens outside of work, and we want you to enjoy it.*, • Global Team & Fun Events – Work with amazing colleagues across North America, Latin America, and Asia, and connect through virtual and in-person events.

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role operates on a hybrid schedule requiring two days of in-office collaboration per week. The position can be based in either our San Francisco office or our new New York City office (opening April 2026). About the Role Data Science plays a crucial role in driving impact at Taskrabbit. As a member of the team, you will help drive our business strategy forward through predictive insights. We are seeking a highly skilled and motivated Staff Data Scientist to join us, working closely with cross-functional teams from product, finance, engineering, risk and operations to provide data-driven insights and solutions that enhance our products and accelerate growth while minimizing marketplace losses. What you will work on • Be a strategic thought partner with stakeholders from product, risk, finance, engineering, and operations to define high-impact analytical problems, and solve them using different analytical and statistical approaches. Present actionable insights in a clear and compelling manner., • Proactively perform analytical deep dives to identify strategic growth opportunities in key business levers with a focus on commerce and risk, • Collaborate with stakeholders to define and measure success metrics for new features and products, conduct advanced experimentation and causal inference to optimize product features and user experiences, • Design, develop, and scale proactive fraud interventions using heuristic and/or machine learning models. These efforts will be focused on enhancing financial performance by mitigating issues such as chargebacks, fraud, transaction declines, and refunds., • Foster a data-driven culture within the organization by advocating for best practices in data analysis and interpretation.Who you are, • BS, MS or Ph.D. in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research, or related field)., • A minimum of 7 years industry experience in data science; previous experience in a marketplace or fintech company is a plus, • Strong and relevant experience with advanced experimentation and statistical modeling; you have past experience with fraud/risk models in a marketplace/fintech context, • Excellent analytical and problem-solving skills., • Excellent business acumen and strategic thinking skills, especially in a commerce/risk domain, • Expert in SQL, experienced in Python, and familiar with data pipeline tooling (e.g. dbt) and git. Bonus points for experience in productionizing ML models and familiarity with ML Ops., • A self-starter with the ability to work independently and drive your own projects end-to-end with a track record of landing strong business impact, • Ability to communicate complex data findings in a clear and concise manner to an executive audience. Compensation & Benefits: At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $170,000 - $225,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

Job DescriptionAbout the Company e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it’s a daily routine that nourishes your skin barrier over time. In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 28 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. Visit our Career Page to learn more about our team: Position Summary: We’re looking for a bold, visionary, and hands-on Head of Data & AI to architect and operationalize our data-driven future. This leader will shape our AI-first data strategy, build a world-class data foundation, and accelerate value creation across analytics, automation, and intelligent experiences. You’ll own the full lifecycle of our data ecosystem — from architecture to governance to AI activation — ensuring that data is not just reliable and compliant, but ready to power the next generation of business intelligence, personalization, and autonomous decision-making.Responsibilities: • Lead enterprise data architecture and platforms — design and scale a modern, cloud-based data stack leveraging Snowflake, Atlan, and complementary technologies (e.g., dbt, Fivetran, Airflow)., • Establish data observability and quality frameworks — ensure data lineage, reliability, and real-time insights across all systems., • Drive AI-first data strategy — enable machine learning and generative AI capabilities through structured data tagging, metadata management, and model-ready pipelines., • Partner with business and technology teams — turn data into action by collaborating across digital, marketing, finance, and operations to define use cases, KPIs, and outcomes., • Governance and compliance — define robust policies for privacy, security, and ethical AI use; partner with Legal and Security teams to align with evolving regulations., • Build and lead a high-performance global data team — recruit, mentor, and inspire data engineers, architects, and AI specialists., • Accelerate insight to impact — democratize data access, foster a culture of experimentation, and drive adoption of self-service analytics and AI tools.Requirements:, • 10+ years leading enterprise data engineering, architecture, or AI initiatives., • Deep expertise in Snowflake and metadata management platforms such as Atlan, Collibra, or Alation., • Proven experience implementing data observability, lineage, and monitoring tools (e.g., Monte Carlo, Databand, Soda)., • Strong understanding of data governance, privacy, and MLOps principles., • Demonstrated success building and scaling AI-ready data platforms — enabling ML pipelines, model serving, or generative AI use cases., • Experience leading cross-functional collaboration between engineering, analytics, and business teams., • Strategic mindset balanced with a bias for execution and operational excellence.Attributes That Make You Stand Out:, • You think like a product owner for data — obsessed with usability, adoption, and measurable value., • You lead with clarity and curiosity, connecting business ambition to technical architecture., • You embrace experimentation and governance as dual engines of innovation.

Job DescriptionAs an Account Executive on the Nonprofit team, you will be responsible for driving new business and building on our already impressive list of customer logos across a variety of industries. Innovative organizations use Windfall, including leading Food Banks, Museums, Zoos, Theaters, Ballets, Land Trusts, Independent Schools, and Symphony Orchestras. Windfall helps these customers market to and engage their donors and customers through enriched data and our new SaaS application using GenAI. As the face of our sales organization, you will be expected to sell our industry leading data enrichment offerings to customers through a consultative sales engagement, disrupt previously held notions when necessary, and build consensus for Windfall across the customer’s organization to secure deals. Our mission is to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.Responsibilities: • Research prospects to qualify them for outreach, • Complete outreach to prospects via various channels (email, phone, social networks), • Communicate with prospects to deliver value and qualify them, • Book meetings with prospects and create opportunities, • Manage the sales process from qualification to close, • Maintain up-to-date data in Salesforce on all owned records, • Assist with campaigns that include accounts you own, • Ensure Windfall stakeholders who are assisting you are fully briefed on opportunities in advance of meetingsRequirements:, • On-site 5 days a week in San Francisco, • A Bachelor's degree, • 3+ years of technology sales experience, • 1+ year of experience in a closing role, • Verified track record of exceeding performance expectations, • Experience with outbound prospecting, • Excellent verbal and written communication skills, including great listening skills, • Strong typing skills, internet and computer literacy, and the ability to learn our sales enablement tools quickly, • Comfortable working in Google Docs and Sheets, • Detail-oriented with an ability to manage time effectively, • Ability to work with minimal supervision and be a self-starterPreferred Requirements:, • Familiarity with our sales technology stack (e.g., Salesforce, Hubspot, Groove, LinkedIn Sales Navigator, ZoomInfo, etc.), • Familiarity with nonprofit development and fundraising

Job Description We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI. Role Overview: As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems. Responsibilities: • Collaborate with AI researchers and developers to understand project requirements and objectives., • Design and create a diverse range of prompts tailored to specific AI tasks and applications., • Develop creative and innovative ways to generate effective prompts that improve model performance., • Conduct extensive research to identify and curate relevant data sources for prompt development., • Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes., • Optimize and fine-tune prompts based on continuous testing and feedback from AI models., • Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy., • Stay up-to-date with the latest advancements in natural language processing and AI technologies., • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred., • Proven experience in working with natural language processing and AI technologies., • Strong understanding of AI models, algorithms, and neural networks., • Experience in prompt engineering, creative writing, or content creation is a plus., • Proficiency in programming languages such as Python or JavaScript., • Solid knowledge of data collection, preprocessing, and annotation for prompt development., • Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face., • Strong analytical and problem-solving skills with a keen eye for detail., • Excellent communication and collaboration skills to work effectively in a team environment.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: Join us to build the next frontier of applying generative AI in the physical world! As a research scientist, you will invent new AI technologies that enable our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. Both senior and junior scientists are welcome to apply. You will...- Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator. - Work on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment. - Develop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc. - Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems. - Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus Points:- Previous experience in self-driving technology. - Experience in shipping machine learning features/models into production.- Proven track record of mentoring junior researchers or engineers.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation. You will...- Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving.- Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale.- Architect and build the engineering foundations of our long-term mapping infrastructure.- Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data.- Design and develop comprehensive metrics, observability, and anomaly detection across various systems.- Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs.- Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Qualifications:- BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience.- Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures.- Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust.- Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept).- Hands-on experience building distributed systems on modern cloud platforms. Bonus/nice to have:- A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates. - Prior experience with autonomous vehicles, HD mapping, or robotics.- Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS.- Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems.- Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka).- Open-minded and collaborative team player with strong willingness to help others.The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will...- Lead the strategy and execution of perception and prediction evaluation systems.- Design, code, and test tools, pipelines, services and platforms that support Waabi’s perception and prediction evaluation.- Collaborate with other teams at Waabi, including research scientists, ML and software engineers, system engineers and program managers to understand their uses and deliver features that improve our overall evaluation ecosystem.- Participate in the growth and planning for how our evaluation platform scales over the next years.- Assist in roadmap planning, prioritization, and delivery. Qualifications:- 5+ years of industry experience reading and developing production quality software.- Experience using languages such as Python, Go, or Rust.- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.- Experience working in a team environment on a common codebase.- Ability to learn new technologies quickly particularly in data analysis.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Experience working with robotics / AV data.- Experience with perception and prediction metrics (precision, recall, ADE, CTE, etc.).- Experience with AWS (S3, ECS, Batch, etc.).- Familiarity with workflow management technology (ex. Airflow).- Familiarity with advanced statistical analysis.- Familiarity with large-scale data processing and distributed systems.- Familiarity with machine learning concepts and evaluation methods- Comfortable with Linux. The US yearly salary range for this role is: $155,000 - $213,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWe are searching for a Machine Learning Engineer to help us build upon the intelligence and capabilities of our robots and the machine learning systems that power them. Our products combine state-of-the-art perception algorithms and adaptive decision-making abilities with sophisticated control algorithms to endow industrial robots with the autonomy needed to perform efficiently at scale in several industrial applications. As a Machine Learning Engineer, you will work closely with our robotics, deployment, and sales teams to identify customer needs and conceptualize and build out machine learning solutions to those needs. You will also be responsible for monitoring, training, and validating performance of our deep learning models. We value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. Our ideal candidates are those who care deeply about their team and demonstrate both directness and integrity.Examples of the work you will be doing • Building product features, data pipelines, and tooling for visualizing and understanding machine learning models, • Creating and adapting SOTA model architectures in Tensorflow or PyTorch to solve unique, high-value problems, • Applying best practices in data science to help the team draw actionable conclusions from our data and performance results, • Working with our machine learning team to automate, manage, and validate our data collection pipelines and processes, • Collecting, organizing, and presenting performance results to stakeholdersTechnologies you will work with, • Python, • Rust, • Google Cloud Platform (BigQuery, Cloud Spanner, & Cloud Storage), • Airflow, • Kubernetes, • Terraform, • gRPC, • Tensorflow, • CI/CDQualifications, • B.S. or higher degree in computer science or related engineering field, • Excellent Python programming skills, • Experience with Tensorflow or a similar deep learning framework, • Knowledge of key concepts in machine learning (particularly deep learning) and data science, • Familiarity with big data and databases (BigQuery), • Strong ethic of self-reliance and the initiative to take ownership of projects, • Strong communication skills, • Ability to determine reasonable timelines and deliver results accordingly, • Legal authorization to work in the U.S. is requiredNice to haves, • Strong theoretical knowledge and practical experience with classical machine learning and deep learning techniques, • Experience with 3D scene understanding and object detection/segmentation from vision, • Experience with robotic manipulation hardware: arms, 3D cameras, force sensors, • Experience working independently on large, shared code bases and infrastructure