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Job Description:\n\nCompany Description This is a Position-Based Test conducted in accordance with CSC Rule 111A. Learn more about the City’s hiring process here: Application Opening: October, 14, 2025Application Deadline: Apply Immediately. Application filing will be open at least through Friday, October 24, 2025, and will close anytime thereafter.Salary Range: Range A compensation for this classification is between $134,576 and $171,834 Amid a dynamic and ever-evolving urban landscape, the San Francisco Recreation and Park Department stewards one of the premier urban park systems in America. San Francisco recently became the first city in the United States for which 100% of its residents live within a ten-minute walk of a park. Considered by San Franciscans to be one of the City’s most popular and effective public agencies, our Department manages and maintains more than 225 parks, playgrounds, and open spaces in San Francisco, including two outside of city limits: Sharp Park in Pacifica and Camp Mather in the High Sierras. Our 4,100- acre system includes 25 recreation centers, 9 swimming pools, 5 golf courses and numerous athletic facilities, including sports courts, ball diamonds, soccer fields and gymnasiums. Included in the department’s responsibilities are Golden Gate Park, Coit Tower, the Marina Yacht Harbor, the Palace of Fine Arts, and TPC Harding Park golf course. More than 2,000 talented individuals are part of our team, from gardeners, foresters, and recreation leaders to park rangers, custodians, electricians, painters and more. Our core mission, as it has been throughout our history, is to provide opportunities for San Francisco residents and visitors alike to gather, play, learn, relax, and enjoy nature in the city. Race and Social Equity Statement We believe that parks and open space in San Francisco provides the opportunity to model equitable access for all. With this belief, San Francisco became the first city in the United States for which 100% of its residents live within a ten-minute walk of a park. The Recreation and Park Department’s goal is to close the gaps and improve equity and access to quality parks and open space, and recreation activities for historically marginalized communities. We envision a department that proactively infuses racial and social equity in its internal operations. With a multi-disciplinary team of talented individuals - gardeners, recreation leaders, park rangers, custodians, craft shop personnel, park and recreation managers and more, the department is committed to doing its part to provide equitable access to parks and programs for all the communities we serve to enjoy, as well as foster a work environment where our differences are celebrated, and everyone has what they need to thrive regardless of their race, age, ability, gender, sexual orientation, ethnicity, or country of origin.Job Description Under the direction of the Superintendent of Parks and Open Space, the Park Services Manager oversees a geographical area within San Francisco consisting of various public parklands, natural resources, open spaces and department facilities. The essential functions and responsibilities include, but are not limited to the following:Manages a Park Services Area, providing oversight of public parklands, facilities, recreational activities, and events;Recruits, trains and supervises Park Section Supervisors, Gardeners, Gardener Apprentices, Laborers and Laborer Supervisors, Custodial Supervisors, Assistant Custodial Supervisors, Custodians, Public Service Trainees, interns, and volunteers; develops and implements work plans, and evaluates performance.Provides direct management and supervisory oversight to the creation, care, restoration and maintenance of parks, open spaces, natural habitats, native species, landscapes, athletic fields, grounds and supporting facilities and amenities;Provides leadership in developing, carrying out, communicating and enforcing policies and procedures;Works with Project Managers on capital projects, which may involve reading construction documents and plan review, instructing, monitoring, evaluating, and reviewing the work of outside contractors;Leads collaborative efforts with community stakeholders and provides support to partner organizations to further the stewardship of the City's parks and open spaces;Conducts problem-solving requiring analysis of issues that may result in deviations from routine processes, integration of new technology, and/or acquisition of additional resources; andCoordinates Park management with property management and concessions.Qualifications Minimum Qualifications 1. A Bachelor of Art or Science Degree in Horticulture, Agronomy, Botany, Landscape Architecture, or related field; AND 2. Five (5) years of professional experience in the care and maintenance of landscaped grounds, sport fields, and/or golf courses, two (2) years of which must include supervisory experience; AND 3. Possession of a valid California Driver's License. Substitution: Verifiable professional experience in the care and maintenance of landscaped grounds, sport fields, and/or golf courses may substitute for the required degree on a year-for-year basis for up to four (4) years. One (1) year is equivalent to thirty (30) semester units/forty-five (45) quarter units.Desirable Qualifications: The stated desirable qualifications listed below may be considered at the end of the selection process when candidates are referred for hiring.Extensive horticulture knowledge in landscapes utilizing trees, native plants and natural areas.Experience in municipal or commercial irrigation systems design, maintenance and auditing.Experience in collaborating with community groups, commercial property owners, or public boards/commissions.Experience restoring and renovating large public parks, natural areas, commercial landscapes and/or sports fields.Experience in utilizing standard computer software (Word, Excell, Acrobat) to organize and communicate work plans with your supervisory staff.Knowledge (intermediate) of the principles and practices of capital project management; andAbility (strong) to communicate effectively both orally and in writing with diverse staff. Verification of Education and Experience: Every application is reviewed to ensure that you meet the minimum qualifications as listed in the job ad. Review SF Careers Employment Applications for considerations taken when reviewing applications. Applicants may be required to submit verification of qualifying education and experience at any point during the recruitment and selection process. If education verification is required, information on how to verify education requirements, including verifying foreign education credits or degree equivalency, can be found at . Note: Falsifying one’s education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco.Additional Information After application submission, candidates deemed qualified must complete all subsequent steps to advance in this selection process, which includes the following: Supervisory Test Battery (STB) & Behavioral Consistency Questionnaire (BCQ) Supervisory Test Battery (Weight: 40%): Candidates will be invited to participate in a computer-based examination designed to measure competencies in job-related areas which may include but not be limited to: Problem Solving; Leadership; Decision Making; Interpersonal skill; Human Resources Management; Team Building; Communication; Conflict Management and Process Improvement. For more information about this Supervisory Test (and a suggested reading list) please visit Supervisory Test Battery (STB). Please note: this examination is only held in San Francisco. A passing score must be achieved on the Supervisory Test Battery to continue in the selection process. This is a standardized examination and, therefore, test questions and answers are not available for public inspection or review. Scores attained on the Supervisory Test Battery will be valid and 'banked' for three years, starting from the date of the examination. This means that, during this three-year time period, you will not be required to take the Supervisory Test Battery. The Supervisory Test Battery may be used for many other classes; therefore, your test score may be applied to one or more of these classes if you choose to apply to future recruitments. If the selection process for the future announcement is held within one year of the date of this examination and it includes the Supervisory Test Battery, your score will be automatically applied to that announcement. However, after one year, you have the option to either (a) apply your test score to the other announcement or (b) re-take the Supervisory Test Battery. Retesting is permitted no sooner than one year from the date of the examination and only in association with your eligibility for another announcement for which the Supervisory Test Battery is used. Please note that, should you re-test, your re-test score would become your official score since it is the most recent. Behavioral Consistency Questionnaire (Weight: 60%): Candidates who receive a passing score on the Supervisory Test Battery (STB) will be provided via email, a Behavioral Consistency Questionnaire (BCQ). Candidates will be evaluated on their relative knowledge, skill and ability levels in job-related areas. Candidates must achieve a passing score on the BCQ in order to be placed on the confidential eligible list in rank order according to their final score. A passing score must be achieved on each of the above-described exams in order to be included on the confidential eligible list. After the confidential eligible list is adopted, the department may administer additional selection procedures to make a final hiring decision. Eligible List/Score Report: A confidential eligible list of applicant names that have passed the civil service examination process will be created and used for certification purposes only. An examination score report will be established, so applicants can view the ranks, final scores and number of eligible candidates. Applicant information, including names of applicants on the eligible list, shall not be made public unless required by law. However, an eligible list shall be made available for public inspection, upon request, once the eligible list is exhausted or expired and referrals resolved. The eligible list/score report resulting from this civil service examination process is subject to change after adoption (e.g., as a result of appeals), as directed by the Human Resources Director or the Civil Service Commission. Eligible List Duration: The duration of the eligible list resulting from this examination process will be of six (6) months and may be extended with the approval of the Human Resources Director. To find Departments which use this classification, please see the city’s Position Counts by Job Codes and Departments. Certification Rule: The certification rule for the eligible list resulting from this examination will be Rule of The List. Additional selection processes may be conducted by the hiring department prior to making final hiring decisions. Exam Type: Combined Promotive and Entrance Terms of Announcement and Appeal Rights: Applicants must be guided solely by the provisions of this announcement, including requirements, time periods and other particulars, except when superseded by federal, state or local laws, rules or regulations. Clerical errors may be corrected by the posting the correction on the Department of Human Resources website at . The terms of this announcement may be appealed under Civil Service Rule 111A.35.1. The standard for the review of such appeals is ‘abuse of discretion’ or ‘no rational basis’ for establishing the position description, the minimum qualifications and/or the certification rule. Appeals must include a written statement of the item(s) being contested and the specific reason(s) why the cited item(s) constitute(s) abuse of discretion by the Human Resources Director. Appeals must be submitted directly to the Executive Officer of the Civil Service Commission within five business days of the announcement issuance date. Additional Information Regarding Employment with the City and County of San Francisco:Information About the Hiring ProcessConviction HistoryEmployee Benefits Overview Equal Employment OpportunityDisaster Service WorkerADA AccommodationVeterans PreferenceSeniority Credit in Promotional Exams [required for Combined, Promotive, Entrance (CPE) Exams only]Right to WorkCopies of Application DocumentsDiversity Statement Candidates for positions with the Recreation and Park Department may be disqualified from consideration should their conviction history not meet the standards established under California Public Resources Code 5164. Where to Apply: All job applications for the City and County of San Francisco must be submitted through our online portal. Please visit to begin your application process. Computers are available for the public (9:00 a.m. to 4:00 p.m. Monday through Friday) to file online applications in the lobby of the Dept. of Human Resources at 1 South Van Ness Avenue, 4th Floor and at the City Career Center at City Hall, 1 Dr. Carlton B. Goodlett Place, Room 110. Ensure your application information is accurate, as changes may not be possible after submission. Your first and last name must match your legal ID for verification, and preferred names can be included in parentheses. Use your personal email address, not a shared or work email, to avoid unfixable issues. Applicants will receive a confirmation email from that their online application has been received in response to every announcement for which they file. Applicants should retain this confirmation email for their records. Failure to receive this email means that the online application was not submitted or received. If you have any questions, you may contact Dorothy Young at . Recruitment ID: 160012 The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.

Job DescriptionAbout Zipline Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda's national blood delivery network and Ghana's COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through our technology that includes robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain. Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people. About You and The Role At Zipline, we're shaping the future of safe airspace navigation and building the world's largest autonomous delivery system. We're looking for senior machine learning and perception engineers to help define the state of the art in aircraft and obstacle detection and tracking — enabling our drones to safely and autonomously navigate complex, dynamic environments. What You'll Do • Advance the Frontiers of Perception: Design and deploy cutting-edge algorithms to detect, localize, and track aircraft and tall obstacles using monocular and multi-view camera systems — combining deep learning with geometric vision to achieve robust 3D situational awareness at scale., • Engineer Reliable Vision Systems: Develop scalable model training pipelines and build rigorous evaluation frameworks that capture real-world performance across edge cases and long-tail scenarios., • Integrate Across Systems: Collaborate with systems, flight test, and validation teams to design end-to-end test plans that push perception to the edge of capability — and beyond Zipline's strict safety and reliability standards., • Own Operational Performance: Create powerful debugging, visualization, and analysis tools that drive insight from field data, enabling rapid triage and root-cause analysis of perception issues in live deployments., • Learn Fast, Iterate Faster: Leverage simulation and real-world feedback to continuously refine both ML models and classical tracking algorithms — improving accuracy, latency, and robustness in challenging operational conditions., • 8+ years of professional experience crafting and deploying sophisticated perception systems for autonomous robots, aircraft, or vehicles., • Expertise in state-of-the-art deep learning models, specifically focused on object detection and tracking, honed through real-world deployments., • Deep knowledge of geometric computer vision techniques, including stereo vision, depth-from-motion, structure-from-motion, and visual odometry, for precise depth and 3D position estimation., • Innovative mindset and practical problem-solving skills, demonstrated by a proven track record of overcoming performance bottlenecks and resolving operational edge cases., • Hands-on experience supporting commercially operated autonomous systems, including diagnosing issues and enhancing system reliability in live environments. 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!

Staff ML Engineer Direct Hire Detroit, MI or San Francisco, CA $195K-$295K About the Team: The ML Inference Platform is part of the AI Compute Platforms organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient platform that powers our client’s AI efforts. We’re proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for our client and their customers. We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the serving of state-of-the-art (SOTA) machine learning models for experimental and bulk inference, with a focus on performance, availability, concurrency, and scalability. We’re committed to maximizing GPU utilization across platforms (B200, H100, A100, and more) while maintaining reliability and cost efficiency. About the Role: We are seeking a Staff ML Infrastructure engineer to help build and scale robust Compute platforms for ML workflows. In this role, you’ll work closely with ML engineers and researchers to ensure efficient model serving and inference in production, for their workflows such as data mining, labeling, model distillation, simulations and more. This is a high-impact opportunity to influence the future of AI infrastructure. You will play a key role in shaping the architecture, roadmap and user-experience of a robust ML inference service supporting real-time, batch, and experimental inference needs. The ideal candidate brings experience in designing distributed systems for ML, strong problem-solving skills, and a product mindset focused on platform usability and reliability. What you’ll be doing: Design and implement core platform backend software components. • Collaborate with ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value., • Lead technical decision-making on model serving strategies, orchestration, caching, model versioning, and auto-scaling mechanisms., • Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization of inference services., • Proactively research and integrate state-of-the-art model serving frameworks, hardware accelerators, and distributed computing techniques., • Lead large-scale technical initiatives across ML ecosystem., • Raise the engineering bar through technical leadership, establishing best practices., • Contribute to open-source projects; represent in relevant communities. Minimum Requirements 8+ years of industry experience, with focus on machine learning systems or high-performance backend services. • Expertise in either Go, Python, C++ or other relevant coding languages., • Expertise in ML inference, model serving frameworks (triton, rayserve, vLLM etc)., • Strong communication skills and a proven ability to drive cross-functional initiatives., • Experience working with cloud platforms such as GCP, Azure, or AWS., • Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Preferred Qualifications Hands-on experience building ML infrastructure platforms for model serving/inference. • Experience working with or designing interfaces, APIs and clients for ML workflows., • Experience with Ray framework, and/or vLLM., • Experience with distributed systems and handling large-scale data processing., • Familiarity with telemetry, and other feedback loops to inform product improvements., • Familiarity with hardware acceleration (GPUs) and optimizations for inference workloads., • Contributions to open-source ML serving frameworks. The compensation range for this position is $195,000 to $295,000 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). *Note: Disclosure as required by the Equal Pay for Equal Work Act (CO), NYC Pay Transparency Law, and sb5761 (WA) Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law. For consideration, please forward your resume to If you require assistance or an accommodation in the application or employment process, please contact us at . Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at ww.synergishr.com.

The Permanente Medical Group, (TPMG) is one of the largest medical groups in the nation with over 10,000 physicians, 21 medical centers, numerous clinics throughout Northern and Central California and an 80-year tradition of providing quality medical care. Northern California's sophisticated yet laid-back ambiance offers urban and suburban lifestyles, enhanced by the presence of world-class art museums, renowned eateries, home of world championship sports teams, and a large spectrum of entertainment and recreational options. We offer the exciting opportunity to practice in a big city or enjoy small-town charm while still being a part of the largest medical group in the country. Our Psychiatry departments work as a team and are integrated seamlessly into our hospital operations. It is a rewarding and rich practice that offers support for all aspects of a physician’s career. TPMG is recruiting for Virtual Care Physician Opportunities - Adult Psychiatry (Outpatient) in the following locations (Positions can be fully virtual/remote): Starting salary: $292,080 plus additional potential incentives. Reduced schedules with pro-rated compensation may be available. Some incentive opportunities are estimates based on potential premium pay. Recruiter will provide additional salary details. REQUIREMENTS: • Board Certification or Eligibility, • Must be eligible to obtain a CA medical license or be currently licensed to practice within CA, • Physician must reside within the State of California A FEW REASONS TO CONSIDER A PRACTICE WITH TPMG: • Work-life balance focused practice, including flexible schedules and unmatched practice support., • We can focus on providing excellent patient care without managing overhead and billing. No RVUs!, • We demonstrate our commitment to a culture of equity, inclusion, and diversity by hiring physicians that reflect and celebrate the diversity of people and cultures. We practice in an environment with patients at the center and deliver culturally responsive and compassionate care to our member populations., • Multi-specialty collaboration with a mission-driven integrated health care delivery model., • An outstanding electronic medical record system that allows flexibility in patient management., • We have a very rich and comprehensive Physician Health & Wellness Program., • We are Physician-led and develop our own leaders., • Professional development opportunities in teaching, research, mentorship, physician leadership, and community service. EXTRAORDINARY BENEFITS: (24 - 40 Hours/Week Required) • Competitive compensation and benefits, • Comprehensive medical and dental, • Home Loan Program up to $250,000 (approval required), • Relocation Assistance up to $10,000 (approval required), • PSLF Eligible Employer, • Malpractice and tail insurance coverage, • Paid holidays, sick leave, and education leave, • Three retirement plans, including a pension and 401k, • Professional Liability coverage For information about career opportunities, wage ranges and upcoming events, visit TPMG Physician Careers: You may also reach out to our Physician Recruiter, Harold Torbert at / call (510) 549-6018 with any questions. We are an EOE/AA/M/F/D/V Employer | VEVRAA Federal Contractor

Job DescriptionAbove and Beyond Therapy is looking for exceptional Board Certified Behavior Analysts (BCBAs) to join our team. We invest in the delivery of outstanding quality care by designing an environment where all employees can think big and have fun. Our company goal is, that you should love what you do! Above and Beyond Therapy is dedicated to the professional growth and personal happiness of all of our staff. We constantly strive to create a supportive, collaborative, inclusive workplace where everyone is excited to come to work. Here at Above and Beyond Therapy you will feel part of something special. Our amazing back office team provides a ton of support that enables our BCBAs to focus on doing what they love while spending less time on administrative work. ABT currently serves families with center, home and school based services across the following states: Georgia, Indiana, Nebraska, North Carolina, Oklahoma and Utah.We offer full-time or part-time BCBA opportunities. Sign-on and relocation bonuses available!We pay as high as $75 an hour, $95,000 yearly salary on a bi-weekly basis! (Depending on state) Above and Beyond Therapy believes that BCBAs deserve:· Back office support they need to provide quality care without burning themselves out· Leadership that has the best interest of clients and staff in mind· A most positive and friendly work environment· Mentorship and training opportunities to support and build their skills· High level of collaboration with a strong emphasis towards growth and development· Flexible work hours and strong emphasis on work-life balance Above and Beyond Therapy provides the gold standard of Applied Behavior Analysis (ABA) therapy services for children on the autism spectrum. Our highly qualified and personally dedicated BCBAs (Board Certified Behavior Analysts) combine their extensive knowledge and experience with our innovative treatment techniques to improve clients' social, behavioral, and adaptive skills. Above and beyond Therapy BCBAs deliver individually tailored treatment plans with compassion in homes, schools, and our conveniently located state of the art centers.Board Certified Behavior Analyst (BCBA) Responsibilities and Duties • Conduct intake evaluations including functional behavioral assessments and skills assessments, • Design treatment plans of care, • Supervise and monitor the progress of behavior technicians, • Design positive behavioral treatment and skill acquisition plans with goals tailored to the individual, • Supervise and train ABA technicians; implement, model and monitor progress of individualized behavior support and skill plans with ABA technicians, • Provide caring support during family conversations to ensure parents fully understand assessment results and treatment recommendations, • Graph data, adjust strategies as needed to ensure progress, and provide routine progress summariesJob Requirements:, • Valid BCBA Certificate, • Experience working with Children and teens diagnosed with autism spectrum disorder (ASD) and other developmental disabilities, • Vehicle required for travel between assignments, and valid driver's license., • Manageable case loads, • Free Health, Dental, vision, and Life insurance!, • Paid Maternity leave, • 401K dollar for dollar match, • Flexible schedule, PTO, and paid holidays, • CEU reimbursement, • Client materials reimbursement, • Utilization bonus potential per pay period (realistic opportunities - uncapped), • Referral bonusSchedule, • Monday to Friday, • Weekends as neededTravel requirement:, • Up to 25% travelLicense/Certification:, • BCBA (Required)Ability to commute/relocate:

Job Description About Us At LegalOn, we’re redefining how legal work gets done. Too often, legal teams are slowed down by repetitive, manual contracting tasks. We’re eliminating that busywork, freeing people to think, decide, and lead their businesses forward. As the global leader in legal AI for contracting, we serve over 7,000 companies and firms worldwide. Our software pairs cutting-edge AI with deep legal expertise to identify contract risks, make precise redlines, and organize contract data—eliminating hours of manual work that delay deals and increase risk. We’re at a once-in-a-generation moment for legal technology, and design is at the heart of how we stand out. As we scale, we are building the next chapter of LegalOn’s brand – and you’ll be on the ground floor. Role Overview: As LegalOn’s Brand Design Director, you’ll be at the center of shaping our next chapter. You’ll own and elevate our visual identity across every channel and touchpoint, ensuring the brand is consistent, creative, and memorable. From digital campaigns to events, social content to sales collateral, your work will define how thousands of legal professionals experience and engage with LegalOn. This is a leadership and design direction opportunity that blends hands-on execution with creative strategy. You’ll build the systems and assets that bring our upcoming rebrand to life while scaling with our growth. Partnering closely with marketing, product, and leadership, you’ll craft compelling visual stories that strengthen LegalOn’s position as the global leader in legal AI. To extend the reach of your vision, you’ll also expand our design capacity by collaborating with contractors and boutique agencies on a project basis. ResponsibilitiesAs LegalOn’s Brand Designer, you’ll have end-to-end creative ownership, shaping and evolving the brand across every touchpoint. Your work will span: • Brand identity – own and evolve LegalOn’s visual language to ensure a consistent, modern, and trusted presence across global markets., • Web design – design and optimize web pages, marketing sites, and landing experiences., • Marketing & sales assets – design campaigns, presentations, events, social, swag, product graphics, and merchandising materials that drive engagement and conversion., • Templates & systems – build scalable design systems and templates to enable consistency and efficiency as the brand grows., • Creative production – produce across diverse mediums including motion graphics, video, and photography, translating briefs into high-impact concepts and assets., • Optimization & direction – test and refine creative for performance and brand impact; provide art direction to external agencies and partners., • Design collaboration - partner with the Global Design team and cross-functional stakeholders to ensure visual alignment across marketing, product, and global markets., • 5+ years of experience as a brand, marketing, or visual designer, ideally at an agency or B2B SaaS startup that has scaled to Series C and beyond, • A portfolio that demonstrates excellence in typography, color, composition, motion, and storytelling across multiple channels., • Expertise with Figma and the Adobe Creative Suite; proficiency in Webflow or similar web design platforms., • Strong communicator with the ability to explain and present design decisions to cross-functional partners., • Comfortable in a fast-paced, high-growth environment, able to prioritize, adapt, and deliver on tight deadlines., • Bonus: experience with motion design, video editing, 3D, photography, or light front-end coding (HTML/CSS)., • Flexible work arrangements: for applicants in the Bay Area we offer a hybrid work model with an office in the heart of San Francisco. For others, we embrace a remote working environment., • Competitive compensation and stock options., • Full-time position The salary range for this role is $140,000 - $180,000. Salary may vary depending on relevant experience, skills, geographic location, and business needs. In addition to base pay, LegalOn offers equity, healthcare benefits and paid time off.

Job Description We are expanding our team of motivated technologists with a proven track record of delivering results in technology consulting. We are looking for a Machine Learning Architect with experience in cloud (AWS preferred) who is passionate about helping customers build AI/ML solutions at scale. Being an experienced technologist with technical depth and breadth, aided with strong interpersonal skills, you will work directly with customers as part of a delivery team, helping to enable innovation by creating state of the art Machine Learning solutions that align to business goals. This role includes responsibilities both as a Professional Services Machine Learning Architect and as a hands-on Machine Learning engineer on customer engagements. The qualified Machine Learning Architect will have demonstrated the ability to think strategically about businesses, create technical definitions around customer objectives in complex situations, develop solution strategies, motivate & mobilize resources, and deliver results. The ability to connect technology with measurable business value is a critical component to be successful in this role. We seek team members who are self-motivated, driven, collaborative, passionate about machine learning, and want to have a direct positive impact on our customer's business. Strong communication skills and emotional intelligence are also needed to help develop a team that works with you. Work Location: Remote Key Responsibilities: • Design machine learning solutions and execute machine learning projects end to end from proof-of-concept stage to deployment in production using cloud native technologies and state of the art machine learning models., • Be technically focused but work directly with the business representatives/customers to understand the requirements driving the need for a solution to be developed., • Be responsible for all phases of the project from problem definition, data annotation, model development, model deployment to end user documentation/training., • Design the architecture of ML solutions on cloud platforms (AWS, Azure, GCP) including MLOPs., • Stay abreast of the latest developments. Read the latest published machine learning research and adapt the models to solve customer’s problems., • Establish credibility by demonstrating technical excellence and delivering value through solutions you build. Develop strong relationships with our customers. Qualifications:, • Masters with 10+ years of experience or PhD with 6+ years of experience in Machine Learning, Natural Language Processing (NLP) and Deep Learning., • Minimum 5+ years of experience architecting and building Machine Learning solutions., • Minimum 5+ years of experience with cloud platforms (AWS, GCP, Azure)., • Experience building ML models and strong knowledge of ML techniques is required., • Experience with hugging face, TensorFlow/pytorch, transformer architectures, prompt engineering, agentic systems, LLMs., • Strong coding experience in Python and architectural patterns like microservices., • Solid understanding of agile methodologies and experience in planning machine learning projects from inception to production deployment., • Strong problem-solving skills and the ability to lead a team on “what’s next” when encountering a technical issue in a machine learning project., • Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. Travel: #LI-RL1#LI-Remote#LI-USA#rackspace 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 DescriptionFor over a century, the Workers' Compensation Insurance Rating Bureau of California (WCIRB) has been California's trusted, objective provider of actuarially based information and research, advisory pure premium rates and educational services integral to a healthy workers' compensation system. The WCIRB is a California unincorporated, private, nonprofit association comprised of all companies licensed to transact workers' compensation insurance in California. The operations of the WCIRB are funded primarily by membership fees and assessments; no state money is used to fund its operations. The WCIRB is a stable company and a proven leader in the workers’ compensation insurance industry nationwide. The WCIRB performs a number of functions to accurately measure the cost of providing workers' compensation benefits and ensure a healthy workers’ compensation system. To learn more about our company, please visit About Us | WCIRB California. The WCIRB employs approximately 175 people with the average tenure of over 10 years. We are committed to fostering a healthy, safe and diverse work environment leading to a dedicated, collaborative and innovative workforce This is a hybrid position where approximately 40% of the work time is spent at the home office in downtown San Francisco. About the Position At the WCIRB, the Sr. Data Analyst is an integral team member supporting a healthy California workers' compensation system through expertise and innovation. Our work is consistent and accurate, we value collaboration and curiosity, we cultivate a safe space for learning and asking questions and we celebrate new ideas and novel approaches to our projects. At the same time, we promote a thriving work-life balance that includes a hybrid work model. We are committed to fostering a healthy, safe and diverse work environment leading to a dedicated, collaborative and innovative workforce. We work on a variety of workers’ compensation projects, including medical cost trend analysis and classification research to support advisory pure premium rate changes (see: Regulatory and Pure Premium Rating Filings | WCIRB California). Our research also explores emerging drivers of workers’ compensation costs through medical and economic research, examining topics such as employee tenure, long COVID, and the effectiveness of experience rating in promoting workplace safety. Essential Duties and Responsibilities Assist with the design and implementation of medical and classification analytics projects through: • Reviewing published data, information and studies on various research topics and contributing to study design., • Independently developing well-documented and reproducible scripts in SQL, R or Python for pulling and wrangling data for the Analyst’s own work and for the use of research staff in studies or to address ad-hoc requests., • Performing accuracy and reasonableness checks to assure quality of the working dataset is appropriate to each study., • Communicating clearly to research staff the rules employed to prepare the working datasets for study., • With limited directions, independently conducting exploratory analyses and statistical analyses (e.g., hypothesis testing, regression analysis, predictive modeling) to answer key research questions., • Applying judgement and discretion in the analyses and in the production of reports and presentations., • Exploring external data sources for specific research purposes and performing integration of diverse internal and external data sources, such as external code sets or policy data, to enhance analyses., • Preparing well-formatted tables and figures to present analysis results in reports and presentations., • Assuring analysis results are accurate following the Data Analytics team review protocol., • Providing technical and peer review of other analysts’ work., • Communicating results via written and oral presentations at internal and external meetings., • Lead the development of automating routine analysis data and reporting tasks, including quarterly medical benchmarking reports., • Provide training to data analysts and members of other actuarial and research teams on research protocols and team processes (if applicable)., • Participate in discussions with external agencies, working groups and research groups on medical and classification research. Education, Experience, and Skill Qualifications • Bachelor’s Degree or above in a quantitative field such as statistics, economics, data science, computer science or other related field., • A minimum of four years of SQL, R or Python programming experience in a Data Analyst or equivalent role, or through coursework., • A minimum of two years of professional experience with rating organizations, data analytic companies, property/casualty insurers, health insurers, managed care companies, consulting, and/or hospital systems., • Strong proficiency in data wrangling, building functions and producing data visualization in R or Python., • Track record of completed analytical projects in R or Python., • Proficiency in statistical modeling (e.g., regression analysis), text analytics, geospatial data, or predictive modelling., • Strong proficiency in working with relational databases, large data sets and multiple data sources., • Ability to communicate both effectively and professionally, both verbally and in writing., • Strong listening and interpersonal skills., • Strong proficiency in Microsoft Office suite. Perks & Benefits Our employees enjoy a state of the art, energy-efficient, open work environment that nurtures collaboration and creativity. At the WCIRB, we go the extra mile to keep our employees happy and healthy. Proud to be recognized as a Plan Sponsor of the Year finalist for our commitment to retirement readiness through strong 401k and pension offerings. Some of our perks include: • Hybrid work environment (40% onsite 60% remote), • Medical, dental and vision benefits, • Competitive PTO Program, • Wellness benefits, • 401K and pension plan, • Social activities, • Community volunteer involvement WCIRB is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. The successful candidate will reside in California and will work from our headquarters in San Francisco at least 40% of the time. We are NOT able to pay for relocation costs for candidates or to sponsor or take over sponsorship of an employment Visa at this time. Thank you for your interest in the WCIRB!

Job DescriptionGopuff’s Data Science team powers the personalized search, browse and recommendation experiences that shape how customers discover daily goods. We are expanding our mission to include cutting-edge generative-AI capabilities. This role will lead the design and deployment of LLM-driven models that deeply understand customer needs and deliver personalized, timely experiences. You will partner with product managers, engineers and researchers to adapt pre-trained large language models (LLMs) to Gopuff’s unique business challenges, fine-tune models using LoRA/qLoRA, build retrieval-augmented generation (RAG) pipelines, and drive innovation from prototype through production.You Will: • Understand customer needs through AI: Build models that interpret intent and context to provide the right product, recommendation or experience at the right moment., • Fine-tune and adapt LLMs: Apply LoRA/qLoRA and RAG techniques to customize state-of-the-art LLMs for Gopuff’s domain, using frameworks such as Hugging Face, LangChain and LlamaIndex., • Architect personalization systems: Design robust pipelines for search, retrieval and ranking that combine generative AI with classical ML, leveraging vector databases and prompt/context optimization., • Drive algorithmic innovation: Explore and apply new methods in deep learning, reinforcement learning, multi-task learning and embeddings to improve personalization, recommendations and discovery., • Develop conversational and Q&A experiences: Build interactive agents that can answer questions, guide product discovery and engage with customers in natural language., • Deploy at scale: Collaborate with MLOps and engineering teams to productionize models with high scalability, reliability and low-latency response times., • Evaluate and optimize: Define metrics, design A/B tests and perform offline/online evaluations to measure model performance, customer satisfaction and business impact., • Collaborate and educate: Work with product, engineering, design, analytics and leadership teams to translate business needs into AI solutions and communicate data-science concepts clearly., • Mentor and lead: Provide technical leadership and mentorship to data scientists and ML engineers, fostering a culture of responsible, customer-focused AI., • Stay ahead of the curve: Continuously track emerging LLM architectures, tools and techniques, and integrate them into Gopuff’s AI roadmap.You Have:, • MS/PhD in Computer Science, Statistics, Mathematics or a related field with 2+ years of experience building generative-AI systems (or 8+ years of industry experience in data science)., • Demonstrated experience fine-tuning LLMs using LoRA/qLoRA, adapting models through RAG pipelines, and optimizing with transformer architectures., • Proficiency in prompt engineering, RLHF and model optimization., • Hands-on expertise with Hugging Face Transformers, LangChain, LlamaIndex and vector databases (e.g., Pinecone, FAISS)., • Strong skills in Python and ML frameworks (PyTorch, TensorFlow, JAX); experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Databricks, etc.)., • Experience working with large datasets and SQL; ability to write scalable, production-quality code., • Excellent communication and collaboration skills to partner across technical and business teams., • A passion for building AI that understands and anticipates customer needs while ensuring responsible and fair use of technology.Compensation:, • Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role., • This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan., • Base Salary Range: $175,000 - $270,000What We Offer:, • Medical/Dental/Vision Insurance, • 401(k) Retirement Savings Plan, • HSA or FSA eligibility, • Long and Short-Term Disability Insurance, • Mental Health Benefits, • Fitness Reimbursement Program, • 25% employee discount & FAM Membership, • Flexible PTO, • Group Life Insurance #LI-GOPUFF Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We’re hiring a Member of Technical Staff – AI/ML to design, build, and deploy AI-powered systems that solve real-world financial operations challenges. You’ll take state-of-the-art AI research and translate it into production-grade features that deliver measurable customer impact. From intelligent invoice matching to automated payment reconciliation, you’ll create scalable, reliable AI applications that integrate seamlessly into our platform. This is a hands-on role for an engineer who thrives at the intersection of AI innovation and practical business application — turning cutting-edge models into real-world value for midmarket CFOs What You’ll Do * Build & Deploy: Create production-ready AI applications that directly address customer financial workflow challenges. * Optimize AI Features: Implement and refine capabilities like invoice matching, payment reconciliation, and financial document processing. * Adapt & Fine-Tune Models: Apply and optimize LLMs, RAG systems, and other AI architectures for specific financial use cases. * Engineer for Scale: Develop robust AI pipelines from data ingestion through inference, ensuring reliability, scalability, and maintainability. * Automate Workflows: Design AI-powered automations that reduce manual effort in finance operations. * Collaborate Cross-Functionally: Partner with Product, Engineering, and customers to translate business needs into effective AI solutions. * Measure Impact: Create evaluation frameworks to track AI system performance and quantify business outcomes. You Might Be a Fit If You… * Have 5+ years of software engineering experience, with at least 2 years focused on applied AI/ML in production environments. * Have integrated and fine-tuned LLMs for real-world applications. * Have built retrieval-augmented generation (RAG) systems for document-intensive workflows. * Understand MLOps best practices, from model deployment pipelines to monitoring and A/B testing. * Are fluent in Python and experienced with PyTorch, TensorFlow, and Transformers. * Have shipped AI products that solved real business problems — not just prototypes. * Have strong experience with data preprocessing and feature engineering for AI. * Can translate business requirements into clear, impactful technical solutions. * Have experience integrating AI systems into existing enterprise platforms. Compensation * Top-of-market salary and equity package * Benefits (for U.S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO * Parental Leave Compensation Range: $200K - $300K

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. Role overview We are seeking a passionate and versatile founding Senior Product Designer to spearhead the design of next-generation products and experiences for video creation. This role is pivotal in driving future innovative features and improvements that cater to both consumers and developers, using a deep understanding of product design principles. The ideal candidate will have a strong background in product design, with an emphasis on creating intuitive, engaging user interfaces for both web and mobile platforms. Key responsibilities * Distilling insights from user needs and model research into clear product directions * Designing and prototyping interfaces for existing Genmo web application and future products and platforms * Specifying and evaluating model behavior and its impact on the user experience, working closely with our research efforts * Collaborating closely with research, engineering, and product teams to realize the vision of Genmo's AI-powered video generation tool * Upholding and advancing the visual consistency and user experience quality across all platforms to create unique, delightful user experiences Qualifications * 5+ years proven experience in product design, particularly for web and mobile interfaces. * Must have: * Strong ownership mindset to identify and lead design projects end-to-end that will have the most impact on user experience and Genmo overall * Experience with consumer applications and a strong understanding of how design impacts user engagement in both the short and long term * Prior experience working in a small design team environment * Care about building a safe, exciting future with a transformative technology * Ideal candidate will have: * Previous founding designer experience * Previous experience in video creation or working within the video production industry * Frontend development experience or interest/passion (e.g., HTML/CSS, React) * Animation, illustration, or brand design experience are a bonus 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 COMPANY OVERVIEW: Sampled is a fully integrated laboratory and biorepository with industry-leading storage, sample management, multiomics, cellular services, and custom clinical kitting. Founded in 1999 as RUCDR at Rutgers University, Sampled operates facilities in the US and UK and is CAP accredited and CLIA licensed. Sampled is committed to providing the highest quality sample storage, processing, and analysis services that enable researchers to make new discoveries and advance human health. When combined with state-of-the-art biobanking facilities, these capabilities provide comprehensive scientific solutions that speed time to quality data. Sampled is committed to building a sustainable, inclusive and diverse culture where team members enjoy equal opportunities in a safe, supportive and empowering environment. Sampled believes that as an organisation we have a duty to be actively engaged in supporting not just the clients and industries we serve but the communities where we live and work. POSITION SUMMARY: The Manager of Strategic Client Partnerships will drive long-term growth and revenue through strategic business relationships and initiatives to create long-term value and expand wallet-share of customers, and increase market share in Pharma, Foundations, and CRO’s. Typically, there will be 5 to 10 strategic accounts per Manager. This is a remote based position covering California and North West States. Candidates must be based in the Northern California / San Francisco Area. Travel to client meetings will be required. RESPONSIBILITIES: Development of Strategic Accounts: · Locate, define and successfully develop opportunities to secure long-term customer commitments with anticipated high levels of Customer Lifetime Value (CLV). · Apply core principles of Customer Intimacy: Build deep, personalized relationships with customers to understand their needs, objectives, challenges and priorities; identify opportunities for value creation for both parties and develop tailored solutions. · Conduct regular business reviews with customers, providing proactive support & guidance, and address any issues or concerns that may arise. · Analyze account performance and identify growth opportunities, in collaboration with Sampled’s internal teams. · Identify opportunities for upselling and cross-selling, negotiating contract renewals, and maximizing CLV through strategic account management initiatives. Expansion of Market Share: · Identify key market trends and ideas by researching industry and related events, competitors, publications, and announcements. Share trends and insights with the Sales Team, Marketing and Product Management. · Screen potential business deals by analyzing market strategies, deal requirements, financials, and risks. · Proactively build effective relationships with Sampled’s Partners and identify or propose potential business deals. · Be the Voice of the Customer internally to influence the products & services portfolio and marketing outreach activities. · Work closely with Product Management to align strategic plans to expand products & services offering, and pricing strategies. · Be technically and scientifically competent in presenting existing and expanding services capabilities, including new product launches. Cross Functional Teamwork & Collaboration: · Be an active champion and role model of the Sampled Core Values: Strive to delight our clients, Move innovation forward, Accelerate your business, Rise together as a team, Transcend what is possible. · Collaborate closely with internal teams including Sales, Marketing, Product Management, Customer Support and Project Management, to ensure a seamless and coordinated approach to serving the customer. · Develop effective long-term relationships to enable the delivery of integrated solutions to meet customer needs and drive value. · Manage internal resources effectively to set strategic meetings between clients and appropriate Sampled team members and leadership to win large-scale projects. · Support an environment of continuous improvement with an emphasis on relationship management, shared accountability, and open communication. Sales Process and Reporting: · Manage opportunities through all stages of the sales pipeline and communicate progress internally through maintaining up-to-date records in the CRM platform. · Own and be accountable for the process of delivering proposals through to successful completion engaging all appropriate internal resources and customer stakeholders. · Provide analytical reports on a regular basis including accurate forecasting. · Participate collaboratively in business meetings and update key stakeholders · Ensure all internal policies and operating procedures are followed. KPI’s: · Bookings / Revenue growth · Account strategies · Customer Lifetime Value · Share of Wallet · Customer Outcomes · Organic Growth · Upsell and Cross-sell rates POSITION REQUIREMENTS: · Minimum of Bachelor’s Degree in Science, Technology, Engineering, or Mathematics (STEM). · 5+ years relevant experience in business development or sales in Life Sciences. Contract Research Organization (CRO) services preferred. · Exceptional communication and interpersonal skills. Able to create buy-in to a customer-centric culture. · Professional gravitas, able to represent the business externally. Must be able to interact at the executive level and cross functionally to understand the complete vision of the company as well as the present strategy. · Strong knowledge of business and sales growth techniques. · Results oriented, with a proven record of business growth. · High level of business acumen. Entrepreneurial and strategic. · Confident establishing and growth business network. · Strong sales closing skills, able to coordinate a complex sales process from initial contact through to commitment and signed contracts. Robust negotiation and influencing skills. · Able to analyze, compile and effectively present plans, data and performance metrics. · Technically savvy, able to leverage systems, for example the CRM system. · Accomplished problem solver, solution oriented, and able to manage conflict effectively. · Strong organizational skills with the ability to prioritize ensuring on-time delivery. · Exceptional project management skills. · Able to work with a high level of autonomy, seeking support when needed. · Able to travel to client meetings as required in California and North West States. · Committed to personal growth and progression within the business Salary range $125,000 to $140,000 plus Sales Commission Plan. Salary level will be reflective of qualifications, skills and experience. Sampled is an Equal Opportunity / Affirmative Action Employer (M/F/Disabled/Veteran)

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. The Role You'll own our model serving layer, implementing high-performance inference systems that can handle millions of requests daily. You'll work at the intersection of ML frameworks and cloud infrastructure, building automated pipelines for model optimization and deployment. Your work will directly impact the performance and scalability of our video generation models, ensuring sub-second latency at global scale. Key Responsibilities * Design and implement high-performance model serving infrastructure supporting streaming, batching, and multi-modal inputs * Build automated model compilation and optimization pipelines using TensorRT, torch.compile, and other compilers * Optimize serving systems for throughput, latency, and GPU utilization across our H100 fleet * Develop monitoring and observability for model-specific metrics (quality, latency, throughput) * Collaborate with researchers to transition models from development to production * Implement A/B testing, canary deployments, and gradual rollout strategies for models * Integrate serving layer with platform infrastructure (load balancers, API gateways, queue systems) Qualifications * Bachelor's or Master's degree in Computer Science or related field * 4+ years ML engineering experience with 2+ years focused on model serving * Production experience with high-performance model serving frameworks (vLLM, SGLang, TensorRT-LLM, or similar) * Strong Python proficiency and PyTorch experience * Experience with model compilation and optimization (TensorRT, ONNX, quantization) * Track record of building inference systems at scale (10K+ QPS) * Understanding of attention mechanisms and transformer architectures * Experience with containerized deployment and orchestration We Value * Contributions to open-source serving frameworks * Experience with continuous batching and advanced serving optimizations * Knowledge of GPU architecture and memory management * Background at companies with large-scale ML serving * Experience with streaming/iterative generation patterns 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 DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid’s Data organization is building models, services and platforms that improve how millions of users understand and grow their financial lives. We are looking for a tech lead manager with experience applying state-of-the-art machine learning and data science techniques in the CGX/EWA/NEA domain. We value not only technical know-how, but also creativity, user empathy, and teamwork. You’ll be a Tech Lead Manager overseeing a team of Machine Learning Engineers and Data Scientists embedded across Plaid’s CGX, EWA, and NEA product areas. Your team builds and scales ML systems that power growth personalization, financial forecasting, and network insights—driving measurable impact across Plaid’s consumer experiences.Responsibilities • Leading a talented ML team that builds systems powering growth, personalization, and financial insights across CGX, EWA, and NEA., • Working hands-on in ML model development and productionization, driving business impact., • Partnering with product and platform teams to turn data and models into production features that reach millions of users., • Shaping Plaid’s broader ML ecosystem by influencing technical standards, shared pipelines, and model development best practices., • Growing as a leader who balances deep technical engagement with long-term organizational and strategic impact.Qualifications, • 7+ years of industry experience developing machine learning models from inception to business impact. Proven ability to tailor your solutions to business problems in a cross functional team, • 3+ years of experience in DS/ML managerial role, • Deep understanding of modern machine learning techniques and their mathematical models, such as classification, clustering, optimization, deep neural network and natural language processing, • Strong product intuition and excitement to work fast and iteratively, • Proven track record of strategic influence by partnering with key stakeholders to shape and launch cutting-edge ML-driven products that drive revenue and market growth., • Data analytics and data engineering experience is a plus

Job DescriptionSalary: $90,000 - $105,000 DOE One Hat One Hand Location: San Francisco, CA One Hat One Hand is a design and fabrication company specializing in architectural placemaking, large-scale public art, product prototyping and experiential design. Our team of designers, fabricators, artists, welders & technologists work with artisans and builders to create large-scale placemaking features, art fabrication and specialty installations. We collaborate with our clients every step of the way, taking pride in the talents and creative skills of our team. We work hard to produce seemingly impossible installations through thoughtful design, hands-on fabrication, and technology integration. Our website offers a deeper dive into our world, our work, our people and our process. Please visit us at PROJECT MANAGER | ONE HAT ONE HAND One Hat One Hand is seeking a qualified Project Manager with experience in interior design, architecture, event production, industrial design, custom fabrication, and/or construction. The role is primarily a project management position but also requires a strong design sensibility, the ability to design and 3D model in Rhino, and the ability to read and redline architectural drawing sets. The right candidate is detail-oriented, excited by teamwork, and has a background in project management and design for fabrication. Overview The Project Manager is responsible for successfully overseeing and delivering all contracted scope for a given project, incorporating aspects of account management, production management, project management, and design. This role ensures clear communication of the project schedule and deliverables among clients, designers, and the production team. Primary Responsibilities • Primary contact for Clients, Consultants, Account Managers, and Project Stakeholders., • Oversee the development of design concepts, 3D visualizations, and presentation decks for client meetings, • Collaborate with designers and the internal Production Department for prototyping strategies, build drawings, production schedules, and install and maintenance plans, • Manage the production of technical documentation for coordination with contractors, structural engineering, MEP engineering, and permitting, • Coordinate and conduct meetings with project stakeholders; create agendas, take detailed notes, and distribute follow-up materials, • Maintain communication regarding scope, schedule, and budget with all stakeholders throughout the project lifecycle, • Collaborate with subcontractors and client on problem solving, documenting changes, and foreseeing change orders or scope creep with account managers, • Project based time management of hours allocated per task, phase, and department, • Coordinate fabrication schedules within and between projects, • Track and manage project finances; issue contracts, budget revisions, and invoices; source, order materials, and coordinate deliveries, • Prepare and present intermediate and final job reports, • Compile final documentation of project (photos, designs, descriptions) in collaboration with the marketing department, • Work with Design Studio Manager to ensure project asset are being organized and archived for easy cross department navigation, • Create and maintain tools to facilitate cross functional collaboration, • Collaborating with account managers and finance on creating, maintaining, and tracking internal and external budgets, • Ensuring that projects are created with reasonable and profitable budgets., • Performing Regular 360 project reviews to ensure, budget is reflective of materials, labor, and design. That assets are organized, and departments are aware of the project timeline, • Find opportunities to add value to clients and exceed client expectations to ensure client retention and satisfaction for future projects Essential Skills and Experience • Project management, client management, schedule creation and management, and construction administration, • Highly creative with strong critical thinking skills, • Passion for experiential storytelling and inclusive team management, • Clear and concise written and spoken communication skills, • Detail-oriented with professional meeting etiquette and management skills; agenda creation, concise note taking, and punctuality, • Knowledge of materials, fabrication techniques and technologies, and rapid prototyping including CNC, laser cutting, waterjet, 3D printing, • Knowledge of production, construction, engineering, and architectural terminology, • Highly adaptable in transferring skills and knowledge to new jobs that may require flexibility in systems previously developed or used, • Strong design sensibility, storyboarding, presentation design, graphic design, sketching, drawing markup, • 3D modeling, rendering. MUST be able to use RHINO and be able to design at a mid level., • Programs: Adobe CS, Bluebeam, Asana, Instagantt or other Gantt charts, GSuite, Procore Compensation The salary range for this position is $90,000 to $105,000 per year, depending on experience. This role is hybrid but the ability to attend meetings at our campus headquarters and client job sites as needed is required. Please do not reach out via email, instead follow the below link to be considered for this position. Please include a resume and cover letter to apply. We look forward to reviewing your application.

Job Description Established in 2004, OLIVER is the world's first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Gen AI Designer Location: San Francisco, CA About the role: We are seeking a talented and innovative Gen AI Designer to join our creative agency in San Francisco. In this role, the Designer will be working primarily with a leading B2B finance solutions company, to create cutting-edge AI-generated creative content that elevates their brand and marketing communications. The Integrated Designer takes digital and social content projects from brief to completion. This role will provide new ideas and creativity whilst working closely to client brand guidelines and will manage the day-to-day running of projects, working within specified timeframes and budgets What you will be doing: • Design and develop AI-generated creative assets for various marketing channels and campaigns, • Work collaboratively with the creative team to establish design systems and templates for AI generation, • Utilize AI tools such as Pencil to create and iterate on design concepts, • Optimize AI prompts to achieve consistent, on-brand creative outputs, • Stay current with evolving generative AI technologies and methodologies, • Present and explain AI-generated work to clients and internal teams, • Ensure all AI-generated content aligns with brand guidelines and marketing objectives, • Producing design / ideas to the client's brief and exacting standards from the outset until completion, • Create inspiring and exciting content – from repurposing, reformatting of assets to ideation, • Keenly evaluate and monitor industry trends and brands, research industry developments in branding and marketing to be at the forefront of creative excellence, • Strong project management skills, teamed with an aptitude for managing multiple varying sized projects seamlessly for a high-profile clientWhat you need to be great in this role:, • Excellent client engagement skills with the ability to proactively organise and influence clients and build strong and effective working relationships, • An innate creative flair, strong art direction and concepting skills – full of ideas across multi-platforms, • Strong knowledge of Adobe Creative Suite, • Strong typography, layout and technical skills with excellent attention to detail, • An understanding how to work across online banners (static and animated), social media posts (primarily Instagram and Facebook), web design, UI design and storytelling, • An understanding of responsive design across all digital platforms, • An understanding of UX and latest Social and Digital technology trends, • Motion and video skills using After Effects. & Premiere. Storyboarding Animation concepts, • Working on print-based collateral with great knowledge of branding, • The ability to talk through your ideas confidently with the team and clients, • Experience in XXX sectors., • Experience working with XXX products., • 5 + years of relevant experience in:, • Digital, • Motion Graphics, • Artwork, • Production Be Ambitious to succeed Be Imaginative to push the boundaries of what's possible Be Inspirational to do groundbreaking work Be always learning and listening to understand Be Results-focused to exceed expectations Be actively pro-inclusive and anti-racist across our community, clients and creations OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws. OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.

Job Description:\n\nWe’re looking for a curious, rigorous, problem-hungry platform engineer (who codes!) to carry the ball as we bring Ashby to the big leagues. Ashby builds software that lets talent teams build an efficient, delightful, respectful hiring process. Similarly, you’re an engineer who wants to build a “paved road” that excellent engineering teams can safely take to the moon and back. We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, over 2500 customers, very low churn, and many years of runway. We’ll share more details once we meet, but you now probably have a good idea as to why we're hiring for this role 😅. We’ve listed this role twice: as a Platform Engineer and Site Reliability Engineer – our team does both, and we are open to candidates who lean towards one or the other. About the role and how we work Hi 👋 I’m Colin, Head of EMEA Engineering. I’ve spent a number of years leading engineering teams in startups, and that has always included being close to infrastructure teams - no matter what name they’ve worn (SRE, infrastructure, platform, etc). I’ve got my hands dirty building the initial infrastructure for startups and know the value a talented infrastructure engineer brings. The rigour, the discipline, the peace and quiet when everything just hums along. Our infrastructure is in a good place for now. Nothing is static. Ashby continues to grow rapidly, putting strain on our existing infrastructure. We’re always looking to give our customers more powerful hiring software, and building new product features often requires new pieces of infrastructure. Having herded plenty of snowflakeservers in the past, I’ve learned there’s a better way. I (and Ashby) place a lot of value on code-as-infrastructure. As a Platform Engineer at Ashby, you’ll get to dive into scaling problems, add new capabilities to our platform, and think about how our entire team interacts with infrastructure. All our own engineers own their projects end-to-end and ship with minimal oversight. We don’t put roadblocks to ensure security when common sense will do and we don’t build processes like change management boards around the lowest common denominator. But with great power comes great responsibility: we handle personal and confidential data about some of the biggest decisions we ever make at work. As we grow, more and bigger customers rely on us to be reliable and secure and how we operate internally will need to evolve. We’re at an inflection point where our ability to scale and deliver a seamless experience has a make-or-break impact – we have some of the fastest growing companies using our platform every day to hire hundreds of people per month. We need someone like you to make good decisions, debug thorny issues, and build us a future-proof platform that can withstand this scale. Our small but mighty infrastructure team has set up a secure and simple environment (we don’t believe in spinning up a new service unless necessary!) for our growing product team to build in. That’s where you come in: you, too, will own projects end-to-end and have an impact on core parts of the Ashby developer and user experience. For instance, you could work on: Optimize our homegrown ultra-dynamic recruiting DSL-to-SQL compiler, and create tools to help developers do so Create automated guardrails for the security and privacy of our customer data Help our developers ship features fast through canary deploys, gradual rollouts and feature flags, while keeping complexity manageable and reducing downtime Work with the business and the engineering team to define SLOs and implement the corresponding SLIs. Ensure all communication with external services supports retries and circuit-breakers. Implement the infrastructure to support an event-driven architecture and data warehouse. We’re looking for someone who can build systems that an engineer would like to work with: mature and boring but open-minded and approachable. We have to balance reliability with flexibility. Software and its availability are now mission critical to almost every working professional. To be in an SRE in today’s world, you have to be extremely comfortable evaluating risk, those you take and those others take. Why you should or shouldn’t apply You should apply if: You never stop. You get weirdly obsessed about a problem that doesn’t yet make sense, turn it every which way in your head until the explanation dawns. You’ll search every rock, inventory every clue, hunt every mismatch. We do that, too - together we’ll be armed with state-of-the-art monitoring tools and an impressive amount of data, and join you in the adventure. You don’t take shortcuts. You’re speaking up for the future user, the edge case, the doomsday design. You know product engineers want to build it with you, and see them as allies, where you give them the power and knowledge to access greater things. You’re someone who cares about what you do and the team you do it with, and want to work with others who do as well. You’ll be on interview panels choosing your next colleagues, and you’ll take that seriously. You only want to work with people who make you better, and want to make you better. You’ve built infrastructure at a slightly later stage than Ashby is at - you know how to deal with millions of data points, have seen great (or not great) infrastructure make or break customer experience, and have automated everything from provisioning to monitoring and release process. You’re a Swiss army knife (all nationalities welcome ;) ). You’ll get every hard problem the company faces. You’ll get to do infrastructure updates, security enforcements, database optimization, Kubernetes debugging, and digging through Typescript traces figuring out what doesn’t work. You probably don’t feel like an expert at at least some of that... and that appeals to you. All that makes for a pretty specific kind of role, and the job isn’t to everyone’s tastes! You should not apply if: You don’t want to make your own decisions on what is the best paved road to build for Ashby, and expect a lead or manager to make the final call on what that is. Our leads (and managers) give ample commentary and feedback on technical decisions and how they’re made, but you ship what you want to build and are accountable for it. You hate SQL. We have a lot of features built around making the best out of data, and our platform engineers also sometimes dive into a gnarly report or advise engineers on a more performant data model to use. You don’t want to code. Our SREs are some of our best software engineers and they are just as responsible for the application as the other engineering teams - albeit at a platform level. Reviewing code and submitting code changes will be part of your day to day. Your primary mode of communicating best practices to engineers is live meetings. We’re a very async culture and written communication (and code) is how changes get made. As an Ashby SRE, you will need to share new tooling and best practices with engineers faster than your next meeting opportunity will take you. You’ve never delivered a project, on your own, without someone prodding you for updates. We have no project or delivery managers to fill your calendar with busy work, but the flip side is you have to do your project management, seek the help you need to get unstuck and cut scope when it’s worthwhile. Technology Stack I’m sharing our tech stack with the caveat that we don’t require previous experience in it: TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. We use Datadog and Sentry on 100% cloud-based (AWS) infra. We take developer experience and reliability seriously: all engineers are on call in a follow-the-sun model, and everyone contributes to developer tooling. What We’re Building As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back. Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and make any last-minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 TA software didn’t help. As hiring managers, we know TA is a critical function, and as engineers, we know software can do better. So, we built and continue to build Ashby to give TA teams the highest standard of tooling. Software that’s intelligent and powerful. Software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We want other functions and departments to be jealous of what TA teams can do with Ashby, and today they often are! Engineering Culture Our engineering culture is motivated by Abhik and Benji’s (our co-founders) belief that a small talented team, given the right environment, can build high-quality software fast (and work regular hours!). We do it through: Minimal process with ownership over decisions normally made by product and design Natural collaboration and deliberate communication Investing in tools and abstractions that give us leverage Putting effort into building a diverse team Minimal Process & Lots of Ownership The best engineers we’ve worked with delivered reliably magical outcomes. They took customer problems and relentlessly drove them to solutions that were not only successful but often brilliant and creative. While they did this with minimal oversight, stakeholders were never in the dark as to what was going on, and no setback was a surprise. Traditional product-development processes aren’t meant for the best engineers. Their purpose is to create consistent outcomes regardless of the engineer’s skill. But, consistency comes at the expense of an engineer’s time and freedom—both ingredients necessary to generate those magical outcomes. As a result, process stifles the best engineers and doesn’t give others the opportunity to practice the behaviors that made the best engineers the “best.” At Ashby, we want to build an environment that encourages every engineer to be their best. So, at Ashby, every Engineer runs their project. Product Managers (and Designers) build strategy, do customer research, and hand off problem briefs to Engineers. Engineers take on the rest: they research the problem, write product specs, build wireframes, and implement their solution end-to-end. We rely on engineers, not process, to push information outward to the relevant folks (e.g., Product Managers) and pull folks in to help (e.g., Designers, Infra). It’s a new level of ownership for many engineers, but we’d rather an engineer fail a bit and coach up their skills than use process as a crutch. Not everyone succeeds in our culture, but those who do thrive. Collaboration is Natural & Communication is Deliberate Our engineering team consists of lifelong learners who are talented but also humble and kind (meet them here!). These attributes create an environment where collaboration happens naturally. We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers are in <2h meetings per week (Abhik wrote about it here). To drive it home, here's a recent calendar of an engineer who has been with us for over 4 years: We also meet in person at least twice a year, once as a department and once as a company. You also have a small budget to meet up with folks in your city/region. Increase Leverage, not Team Size We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 15x a day. A debugger that works out of the box. Everyone on the team has contributed to our developer experience 💪🏾. Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) that we constantly improve. Each improvement to a common component cascades throughout our app (short video below). Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: And a demo of one of these building blocks: Put Effort into Diversity Diverse teams drive innovation and better outcomes. Having seen my mother and partner build their careers as minority women in non-diverse fields, I want to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups. Today, 21% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. Interview Process At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together via pair programming, writing product and tech specs collaboratively, and talking through decisions. There are no leetcode or whiteboard exercises. Our interview process is three rounds: Introduction call with Hiring Manager (15 to 30m, live) A technical screen where we pair in our actual codebase (1h, live) Three non-coding interviews that focus on technical design, debugging incidents, and infrastructure (3h 15m, live can be split across multiple days) Depending on our leadership team’s bandwidth, we may start with an additional 30m screen with a recruiter. Your hiring manager will be your main point of contact and prep you for interviews. Each round will have written guidance so you know what to expect (you’ll need minimal preparation). You’ll meet 4 to 6 people in engineering (with 5-15 minutes in each interview to ask them questions). If we don’t give an offer, we’ll provide feedback! Your First Three Months at Ashby We want an exceptional onboarding experience for every new hire. At Ashby, your dev environment is set up with a single script, you push your first product change on day one, and you spend the rest of your time shipping product changes that give you a tour of our codebase and b

Job Description Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that's growing rapidly for one simple reason: everyone can be curious. Perplexity is looking for an Applied ML Engineer to design, build, and iterate on cutting-edge AI models powering our core experience. As an expert in machine learning and artificial intelligence, you will develop scalable and impactful solutions for user personalization, query understanding, and content discovery - fulfilling the curiosity of millions of users across the globe. Key Responsibilities * Apply state-of-the-art ML and LLM techniques to solve problems spanning: * Personalization (LLM memory, context summarization, retrieval and ranking); * Query Understanding (intent modeling, rewriting, agentic decomposition); * Content Discovery (feed ranking and surfacing) * Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. * Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement. * Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. * Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications * 5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products. * Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking. * Strong software engineering skills (Python, production-quality codebases, collaborative development). * In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement. * Proven collaborator and communicator; excels in high-velocity, cross-functional teams. * Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. * BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus Points For * Experience with LLM prompt engineering, Retrieval-augmented generation (RAG) based systems. * Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc). * Open-source or published contributions in ML, NLP, IR, or relevant research fields.

Job DescriptionAbout Us Essential AI is building an open platform to fuel and accelerate AI breakthroughs globally. Our open models, robust tooling, reproducible pipelines, and evaluation frameworks are designed for collaboration and contribution, empowering others to build, iterate, and innovate faster. Essential AI's technology and products have the means to shape AI advancements while supporting scalable and sustainable business models. Powerful AIs don't trace their origins to singular breakthroughs, but from an amalgam of improvements, incremental and large. Essential AI creates the ideal environment to catalyze these advancements, enabling a steady path to sustained frontier capabilities. The Role The ML Infra Platform Engineer will be responsible for architecting and building the compute infra that powers the training and serving of our models. This requires a full understanding of the complete backend stack → from frameworks to compilers to runtimes to kernels. Running and training models at scale often requires solving novel system problems. As an Infra Systems Engineer, you'll be responsible for identifying these problems and then developing systems that optimize the throughput and robustness of distributed systems. With proven experience building large-scale platforms, you will be responsible for building and advancing our systems that allow research and engineering organizations to iteratively develop, test, and deploy new features reliably, with high velocity, and with a frictionless-fast development cycle. What you’ll be working on * You will help oversee and drive the vision of how we should build, test, and deploy models, while taking ownership and transform state-of-the-art development experience for research * Design, build, and maintain scalable machine learning infrastructure to support our model training, inference and applications * Design and implement scalable machine learning and distributed systems that enable training and scaling of LLMs. Work on parallelism methods improve training of in a fast and reliable way * Working on lower levels of the stack to build high-performing and optimal training and serving infrastructure, including researching new techniques and writing custom kernels as needed to achieve improvements * Develop tools and frameworks to automate and streamline ML experimentation and management * Collaborate with other researchers and product engineers to bring magical product experiences through large language models * Be willing to optimize performance and efficiency across different accelerators What we are looking for * A strong understanding of architectures of new AI accelerators like GPU, TPU, IPU, HPU etc and their tradeoffs. Knowledge of parallel computing concepts and distributed systems. * Experience with Kernels, Low precision training, MoE. * Prior experience in performance tuning of training and/or inference LLM workloads. Experience with MLPerf or internal production workloads will be valued. * 6+ years of relevant industry experience in leading the design of large-scale & production ML infra systems. Experience with Communication Libraries. * Experience with training and building large language models using frameworks such as Megatron, DeepSpeed, etc and deployment frameworks like vLLM, TGI, TensorRT-LLM etc * Comfortable with working under-the-hood with kernel languages like OAI Triton, Pallas and compilers like XLA * Experience with INT8/FP8 training and inference, quantization and/or distillation * Knowledge of container technologies like Docker and Kubernetes and cloud platforms like AWS, GCP, etc. * Intermediate fluency with network fundamentals like VPC, Subnets, Routing Tables, Firewalls etc We encourage you to apply for this position even if you don’t check all of the above requirements but want to spend time pushing on these techniques. Essential AI commits to providing a work environment free of discrimination and harassment, as well as equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. You may view all of Essential AI’s recruiting notices here, including our EEO policy, recruitment scam notice, and recruitment agency policy.

Job DescriptionBlueSpace.ai is revolutionizing the autonomous vehicle industry with our groundbreaking self-driving technology. Unlike conventional autonomy software, our patented 4D Predictive Perception removes reliance on data. By leveraging next-gen 4D sensors, we can precisely predict the motion of all objects, increasing accuracy, lowering latency, and setting a new standard for safety and efficiency in autonomy. Our team consists of seasoned professionals from across the autonomous vehicle (AV) ecosystem, including OEMs, world-class research institutions, and leading autonomous driving companies. With a proven track record of successful AV service launches in California, Texas, and Florida, we are well-positioned to drive the next generation of autonomy. We are seeking talented, self-motivated individuals who thrive in a fast-paced, dynamic environment and are passionate about making a significant impact on the future of mobility. If you’re driven to tackle the most complex challenges in autonomy and push the boundaries of what is possible, we want to hear from you.Duties and Responsibilities • Develop deep learning models for a variety of autonomy applications (relevant areas: object detection, classification, segmentation, behavior prediction, end-to-end driving)., • Research, design, improve, and implement state-of-the-art ML algorithms and deploy them onto self-driving vehicles and in datacenters., • Identify or collect the required datasets and implement data processing pipelines., • Deliver reliable software through continuous integration, automated testing, and code reviews., • Address the real-world issues encountered during tests or customer deployments.Qualification and Experience, • Bachelor’s Degree in Computer Science, Mechanical Engineering, Electrical Engineering, or equivalent. Advanced Degrees highly preferred., • Demonstrated ML Engineering experience developing either Computer Vision models (preferred) or other models (such as LLMs, Finance, Ads, or others)., • Production experience with Deep Learning models (training, fine-tuning, or deployment)., • Excellent software engineering skills in Python or C++., • Strong analytical skills in linear algebra, geometry, and probability., • Experience with a deep learning framework, such as PyTorch, JAX, TensorFlow.Extra Credit, • Relevant industry experience with low-latency systems (prior work on self-driving vehicles, autonomy, and/or robotics projects)., • Experience building models from sensor data: lidar, radar, camera., • Experience with multi-modal models., • Strong academic track record in any field related to machine learning, as evidenced by top-tier publications., • Production ML experience with either: Model conversion and optimization for production (ONNX, TensorRT); Model deployment on specialized hardware (e.g. Jetson).

Job DescriptionAbout Zipline Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous delivery drones. We serve tens of millions of people around the world. Joining Zipline's Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people. We believe that internships are more than just opportunities to learn by watching or doing low level tasks. We expect our interns to take on meaningful work that actively contributes to moving Zipline's mission forward, while learning real-world skills that will serve them in their careers for the long term. Join us, and build the future of logistics with the best humans around! About the Droid Autonomy Team The Droid Autonomy team owns the entire autonomy stack behind droid package pickup and delivery. This includes perception (understanding the world), the state machine (executing behaviors), and goal planning (deciding where and how to deliver). It's an extremely cross-functional team that brings together expertise in robotics, machine learning, planning, and systems engineering—working as one to make the droid a safe, reliable, and scalable real-world delivery system. The Role • Work hands-on with an autonomous robot operating in the real world — to help expand its capabilities for safer and more reliable deliveries., • Analyze, validate real-world data to understand system performance and identify failure modes and come up with unique solutions., • Design experiments and models that improve the robot's ability to make reliable decisions in messy, unpredictable environments., • Translate insights from validation into actionable improvements that directly impact how and where the robot can deliver., • Collaborate closely with perception, autonomy, and flight testing teams to see how your work connects across the full robotics stack., • Gain experience with the end-to-end process of deploying autonomy at scale—from data, to model, to validation, to live operations., • Currently pursuing a Master's in CS, EE, Robotics, or a related field with a familiarity with learning-based perception.., • Fluent in Python plus solid software practices (willing to learn new languages and adapt)., • Statistical reasoning & validation mindset: able to design experiments, account for bias/variance, quantify confidence, and interpret results to guide decisions., • Structured problem solver: can break ambiguous, real-world problems into hypotheses and executable plans; comfortable making and testing assumptions. The starting cash range for this internship is $44 - 48/ hour. 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, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. 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! Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

Job Description Founding LLM Inference Engineer Full-time | On-site | San Francisco, CA Compensation: $200K – $300K + 0.10%–1.00% Equity About the Role We’re looking for a Founding LLM Inference Engineer to architect and optimize large-scale inference systems powering cutting-edge AI applications. You’ll be building the backbone of an AI platform used by top enterprises, with a focus on performance, scalability, and reliability. This is a hands-on, high-impact role where you’ll collaborate closely with research and product teams, moving fast to bring breakthrough model capabilities into production. If you’re excited about low-latency systems, high-throughput pipelines, and deploying bleeding-edge LLMs, this role is for you. Tech stack: Python, CUDA, LLMs, API integrations, TGI, vLLM, TensorRT-LLM What You’ll Do • Architect and implement scalable inference systems for state-of-the-art models, • Optimize infrastructure for high throughput and low latency at scale, • Develop and integrate advanced inference optimization techniques, • Collaborate with research teams to productionize new model capabilities, • Build developer tools and infra to support rapid experimentation and deployment What We’re Looking For • Deep expertise in LLM inference, optimization, and deployment at scale, • Strong background in Python and GPU programming (CUDA), • Experience with serving frameworks (TGI, vLLM, TensorRT-LLM), • Proven track record of shipping production-grade AI systems, • Excitement about building foundational infra at an early-stage AI startup Benefits • Competitive salary + equity (0.10%–1.00%), • Health, dental, and vision insurance, • Daily team lunches and wellness stipend, • Unlimited PTO + flexible parental leave, • On-site role in San Francisco (5 days a week) ???? Ready to take the next step? Apply now or email Jenn at to learn more.

Job DescriptionAbout Multiply Labs Multiply Labs is a cutting-edge startup based in San Francisco, California, supported by top-tier tech and life science investors such as Casdin Capital, Lux Capital, and Y Combinator. Our mission is to build the best robots in the world, and use them to make the most advanced life-saving therapies accessible to all. We are revolutionizing the manufacturing of cell therapies by developing advanced robotic systems designed to automate and scale the production of these life-saving treatments. Our robots empower biopharma companies to produce cell therapies at scale without significantly changing their existing processes, reducing regulatory barriers and risks. While traditional approaches are time-consuming and lead to extremely high costs for patients (typically $1M+ per patient), using robotics can make these transformative treatments more accessible and affordable to patients in need. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. About the Role At Multiply Labs, we are applying AI to solve complex manipulation challenges in robotic cell therapy manufacturing. We're looking for a Robotics Engineer specializing in AI and machine learning to develop the next generation of our intelligent robotic systems. This role is central to our strategy of using learning-based methods for real-world tasks that are difficult to solve with traditional robotics. You will be responsible for developing and deploying practical systems with a core focus on imitation learning and advanced humanoid grasping. You will work closely with a multi-disciplinary team to bring these AI-driven solutions from research into a production environment, directly impacting our mission to manufacture life-saving therapies at scale.Responsibilities include: • Develop & Train AI Models: Design, train, and deploy deep learning models for robotic manipulation on hardware, leveraging state-of-the-art imitation learning techniques., • Build Data Pipelines: Create and manage the full lifecycle of robotics data—from teleoperated data collection and simulation-based generation to processing and augmentation for model training., • Leverage Simulation: Utilize high-fidelity physics simulators (e.g., NVIDIA Isaac Sim) to train and validate robust policies before deploying them on our physical robots., • Stay on the Cutting Edge: Stay at the forefront of Physical AI research (e.g., foundation models, transformers for robotics) and translate breakthrough concepts into practical applications., • Mentorship & Best Practices: Mentoring other engineers and championing software best practices to elevate the entire team.Qualifications, • Bachelor’s or graduate degree in Computer Science, Robotics, AI, or a related field with a focus on machine learning., • 3+ years of relevant industry experience deploying production-grade machine learning models., • High proficiency with Python and deep learning frameworks (PyTorch, TensorFlow)., • Experience with modern robotics simulation environments designed for ML (e.g., Isaac Sim, MuJoCo, PyBullet)., • A strong theoretical and practical understanding of imitation learning, reinforcement learning, and computer vision fundamentals., • A passion for solving real-world robotics problems and a drive to build systems that work reliably outside of the lab.Nice to Haves, • A track record of deploying learned policies onto physical robot hardware, especially high-degree-of-freedom manipulators or humanoids., • Publications in top-tier robotics or AI conferences., • Familiarity with recent advancements in foundation models for robotics., • Experience building and managing large-scale robotics datasets.Benefits, • 401K with 4% company match, • Health Insurance, • Dental Insurance, • Vision Insurance, • Life Insurance, • Partial Health Insurance for Child Dependents, • HSA or FSA, • Twice weekly catered lunch (for team members in SF office), • Pre-tax Commuter Benefit, • 10 Paid Holidays, • Flexible PTO

Job DescriptionAbout AmmobiaAmmobia is on a mission to revolutionize the ammonia industry. We are a seed-stage startup developing Haber Bosch 2.0 – a next-generation ammonia synthesis process enabling cost-effective, clean ammonia production. Our proprietary swing reactor system runs at 10x lower pressures and 4x higher conversions than the state of the art, enabling economical production at any plant scale or energy source. Clean ammonia will support ammonia’s growing role in our decarbonized world, tackling some of the most difficult to abate sectors including chemicals, fertilizers, and heavy-duty transportation. We are supported and recognized by leading climate tech organizations including Starlight Ventures, the US Department of Energy, Collaborative Fund, Third Derivative, Forbes 30u30, and more. Job DescriptionAmmobia is seeking a motivated and creative Reaction Engineer to develop and optimize our ammonia production process. You will be a key member of our reaction engineering team, developing and scaling our catalytic reaction process at the bench and pilot scales. Your primary focus will be the reactor – process parameters, active materials, and architectures; you will interface directly with equipment, materials, and process engineers and contribute to technical development across the company. There is significant opportunity to grow your role alongside the company. Successful applicants will have most of the following qualifications.Responsibilities • Conduct bench and pilot scale catalytic reaction process development, directly performing experimental and or model/simulation-based development, • Design and optimize processes and reactor systems at increasing scales, alongside process and equipment engineers, • Design, analyze, and optimize thermocatalytic experiments and processes, • Operate, modify, and maintain state-of-the-art custom reactor systems, • Transfer test results and reaction processes to process engineering and scale up, • Characterize, specify, and select active materials for ammonia synthesis and separationQualifications, • 3+ years’ experience in a relevant industrial setting (5 preferred), • Demonstrated expertise and deep knowledge of reaction engineering, heterogeneous catalysis, thermodynamics, kinetics, heat and mass transport, • Demonstrated expertise in process development, experimental design, and optimization, • Demonstrated expertise in data analysis, especially for time-series data from dynamic processes, e.g. with Python, MATLAB, or similar, • Hands on experience operating bench scale reactor equipment, working knowledge of bench scale gas handling/sensing instrumentation (mass flow controllers, pressure regulators, temperature sensors, pressure sensors), • Excellent written and verbal communication skills, • Experience and enthusiasm to mentor junior engineers, • Self-motivated, proactive, and able to work both independently and collaboratively, • Passion for sustainability and excitement about working at an early-stage start-up, • PhD or equivalent experience in chemical, mechanical, or materials engineeringNice-to-have, • Hands on experience designing and building bench-to-pilot scale reactor equipment, especially developing PFDs, P&IDs, • Demonstrated expertise in modeling of reaction processes (including kinetics, heat and mass transport) and validation with experimental data, e.g. with Aspen, gPROMS, ChemKin, Python, MATLAB, or similar, • Experience synthesizing, manufacturing, and/or procuring catalysts, • Experience in adsorbent separations, PSA, TSA or similar, • Experience in pilot scale chemical processing, • Experience in start-up environments 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 DescriptionAI Research Scientist (Test Time Compute) | naptha.ai About the role We are seeking an exceptional AI Research Scientist to join Naptha AI at the ground floor, focusing on advancing the state of the art in test time compute optimization for large language models. In this role, you will be responsible for researching and developing novel approaches to improve inference efficiency, reduce computational requirements, and enhance model performance at deployment. Working directly with our technical team, you will help shape the fundamental architecture of our inference optimization platform. This role is critical in solving core technical challenges around model compression, efficient inference strategies, and deployment optimization. You will work at the intersection of machine learning, systems optimization, and hardware acceleration to develop practical solutions for real-world model deployment and scaling. Core ResponsibilitiesResearch & Development * Design and implement novel architectures for efficient model inference * Develop frameworks for model compression and quantization * Research approaches to optimize test-time computation across different hardware * Create efficient protocols for distributed inference and resource management * Implement and test new ideas through rapid prototyping Technical Innovation * Stay at the forefront of developments in ML efficiency and inference optimization * Identify and solve key technical challenges in model deployment * Develop novel approaches to model compression and acceleration * Bridge theoretical research with practical implementation * Contribute to the academic community through publications and open source Platform Development * Help design and implement efficient inference pipelines * Develop scalable solutions for model deployment and serving * Create tools and frameworks for performance monitoring and optimization * Collaborate with engineering team on implementation * Build proofs of concept for new optimization techniques Leadership & Collaboration * Work closely with engineering team to implement research findings * Mentor team members on advanced optimization techniques * Contribute to technical strategy and roadmap * Collaborate with external research partners when appropriate * Help evaluate and integrate external research developments In this role, you're a good fit if you have: * Strong background in machine learning and systems optimization * Deep understanding of model compression and efficient inference techniques * Hands-on experience with modern ML frameworks and deployment tools * Experience with ML infrastructure and hardware acceleration * Track record of implementing efficient ML systems * Excellent programming skills (Python required, C++/CUDA a plus) * Strong analytical and problem-solving abilities * PhD in Machine Learning, Computer Science, Mathematics, or equivalent experience is a plus * Published research in relevant fields is a plus Required Technical Experience: * Python programming and ML frameworks (PyTorch, TensorFlow) * Experience with model optimization techniques (quantization, pruning, distillation) * MLOps and efficient model deployment * Hardware acceleration (GPU, TPU optimization) * Version control and collaborative development * Experience with large language models About the hiring process: * Initial technical interview * Research presentation * System design discussion * Technical challenge * Team collaboration interview Compensation & Benefits: * Competitive salary with significant equity stake * Remote-first work environment * Full medical, dental, and vision coverage * Flexible PTO policy * Learning and development budget * Conference and research publication support * Home office setup allowance Additional Notes: * Must be comfortable with ambiguity and rapid iteration typical of pre-seed startups * Strong bias for practical implementation of research ideas * Passion for advancing the field of efficient ML systems * Interest in open source contribution and community engagement Naptha AI is committed to building a diverse and inclusive workplace. We are an equal opportunity employer and welcome applications from all qualified candidates regardless of background.

Job DescriptionAbout the Role We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible. We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media. We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one. If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk. About the Role We're looking for a Founding Machine Learning Engineer to build the core infrastructure powering high-performance inference for generative media models, including diffusion and transformer architectures. You’ll be instrumental in designing low-latency, high-throughput systems that serve state-of-the-art models in real time. As an early technical leader, you'll shape both our systems and culture from day one. What You’ll Do • Architect and implement the inference engine for diffusion transformer-based generative models, • Optimize model execution across the stack — memory, compute, and networking, • Drive performance engineering to minimize latency and maximize throughput, • Work closely with research to productionize new generative techniques and model variants, • Build the tools, services, and monitoring that make these systems robust and scalable, • 3+ years of experience building high-performance ML or systems infrastructure, • Deep fluency with PyTorch and production-grade Python, • Strong understanding of GPU systems (CUDA, memory hierarchies, scheduling, etc.), • Experience optimizing inference for generative models (e.g., diffusion, transformers), • Bonus: Familiarity with Triton, CUDA, TensorRT, or model parallelism techniques, • Strong Python + PyTorch skills, • Proven experience optimizing inference for generative models, • Deep systems knowledge, especially GPU performance tuning, • Competitive SF salary and foundational team equity

Job DescriptionAI Research Scientist (Multi-agent Systems) | naptha.ai About the role We are seeking an exceptional AI Research Scientist to join Naptha AI at the ground floor, focusing on advancing the state of the art in multi-agent systems and agent interoperability. In this role, you will be responsible for researching and developing novel approaches to agent collaboration, coordination, and scalability. Working directly with our technical team, you will help shape the fundamental architecture of our agent interoperability platform. This role is critical in solving core technical challenges around agent communication protocols, task delegation, and distributed intelligence. You will work at the intersection of multi-agent systems, machine learning, and distributed systems to develop practical solutions for real-world agent deployment and collaboration. Core ResponsibilitiesResearch & Development * Design and implement novel architectures for scalable multi-agent systems * Develop frameworks for agent communication and coordination * Research approaches to improve agent interoperability across different frameworks * Create efficient protocols for distributed task execution and resource management * Implement and test new ideas through rapid prototyping Technical Innovation * Stay at the forefront of developments in multi-agent systems and AI research * Identify and solve key technical challenges in agent interoperability * Develop novel approaches to agent collaboration and task delegation * Bridge theoretical research with practical implementation * Contribute to the academic community through publications and open source Platform Development * Help design and implement core platform architecture * Develop scalable solutions for agent deployment and management * Create tools and frameworks for agent monitoring and evaluation * Collaborate with engineering team on implementation * Build proofs of concept for new capabilities Leadership & Collaboration * Work closely with engineering team to implement research findings * Mentor team members on advanced ML concepts and techniques * Contribute to technical strategy and roadmap * Collaborate with external research partners when appropriate * Help evaluate and integrate external research developments In this role, you're a good fit if you have: * Strong background in machine learning and AI research * Deep understanding of multi-agent systems and reinforcement learning * Hands-on experience with modern agent frameworks (e.g., LangChain, AutoGPT) * Experience with ML infrastructure and deployment * Track record of implementing complex AI systems * Excellent programming skills (Python required, Rust a plus) * Strong analytical and problem-solving abilities * PhD in Machine Learning, Physics, Mathematics, or equivalent experience is a plus * Published research in relevant fields is a plus Required Technical Experience: * Python programming and ML frameworks (PyTorch, TensorFlow) * Experience with agent frameworks (LangChain, AutoGPT, etc.) * MLOps and model deployment * Distributed systems and scalable architecture * Version control and collaborative development * Experience with large language models About the hiring process: * Initial technical interview * Research presentation * System design discussion * Technical challenge * Team collaboration interview Compensation & Benefits: * Competitive salary with significant equity stake * Remote-first work environment * Full medical, dental, and vision coverage * Flexible PTO policy * Learning and development budget * Conference and research publication support * Home office setup allowance Additional Notes: * Must be comfortable with ambiguity and rapid iteration typical of pre-seed startups * Strong bias for practical implementation of research ideas * Passion for advancing the field of multiagent systems * Interest in open source contribution and community engagement Naptha AI is committed to building a diverse and inclusive workplace. We are an equal opportunity employer and welcome applications from all qualified candidates regardless of background.

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. Role overview: We are seeking an exceptional Research Scientist to join our team, focusing on developing cutting-edge diffusion models for text-to-video generation. In this role, you will be at the forefront of innovation, creating novel architectures and algorithms that transform written descriptions into stunning, coherent video content. Key responsibilities: * Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity * Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content * Design and conduct rigorous experiments to validate new ideas and evaluate model performance * Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline * Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences * Contribute to the research community through high-quality publications and open-source contributions * Mentor junior researchers and foster a culture of innovation within the research team * Work closely with product teams to align research directions with user needs and market opportunities Qualifications: * Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field * Must have: * Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models * Extensive experience implementing and optimizing large-scale generative models for image or video tasks * Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation * Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow * Excellent communication skills with the ability to explain complex technical concepts to diverse audiences * Proven ability to work collaboratively in a team environment * Ideal candidate will have: * Postdoctoral or industrial research experience in generative AI for video * Hands-on experience with text-to-video generation projects * Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video * Experience working with large-scale datasets and distributed computing environments * Track record of successful collaboration with product teams on technology transfers * Familiarity with video codecs, compression techniques, and perceptual quality metrics * Contributions to open-source projects in the field of generative AI Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. 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 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. Role overview: We are seeking an exceptional Research Scientist to join our team, focusing on alignment and post-training techniques for large-scale video generation models. In this role, you will be at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate and safe outputs that match human preferences and values. Key responsibilities: * Lead research initiatives in alignment and post-training methods for video generation models, focusing on improved quality, reliability, and adherence to human intent * Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models * Develop robust evaluation frameworks to measure model alignment, safety, and output quality * Create and optimize data collection pipelines for human feedback and preferences * Design and conduct experiments to validate alignment techniques and their scaling properties * Collaborate with cross-functional teams to integrate alignment improvements into our production pipeline * Stay at the cutting edge of the field by regularly reviewing academic literature in both generative AI and alignment * Mentor junior researchers and foster a culture of responsible AI development * Work closely with product teams to ensure alignment methods enhance rather than inhibit model capabilities Qualifications: * Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field * Must have: * Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) with a focus on reinforcement learning, alignment, or generative models * Extensive experience implementing and optimizing large-scale training pipelines using PyTorch * Deep understanding of reinforcement learning techniques, particularly RLHF * Experience with distributed training systems and large-scale experiments * Proven track record in designing and implementing robust evaluation frameworks * Excellent communication skills with the ability to explain complex technical concepts to diverse audiences * Strong software engineering skills and experience with complex shared codebases * Ideal candidate will have: * Experience with diffusion models or other generative architectures * Background in fine-tuning large language models or generative models * Experience working with human feedback data collection and annotation pipelines * Strong aesthetic sense and understanding of video quality assessment * Familiarity with alignment techniques such as constitutional AI or debate * Track record of successful collaboration with product teams * Experience with perceptual quality metrics and human evaluation design * Contributions to open-source projects in AI alignment or generative AI Additional Information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. 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 The Research Role: We're looking for an experienced AI Researcher to join our team and help us push the boundaries of AI and anime. You'll design and develop large-scale diffusion models with a primary focus on images, and secondary focus on other modalities like 3d, text, video and audio. You may be a good fit if: You love anime and the anime aesthetic. This one of the only labs in the world where you can combine your expertise on anime and deep learning to work on state-of-the-art anime models. You understand diffusion, or can get up to speed quickly. We're looking for experienced researchers who aren't afraid of jumping headfirst into experimenting and designing massive models. You're proficient in Pytorch (and maybe JAX too) We have a very large Pytorch codebase, and an equally large JAX codebase for large-scale TPU training. You enjoy a tight loop between research and production. We pride ourselves on getting models from the lab into production quickly. Our research team works closely with our internal studio to both develop game-ready models, and deploy regular quality updates to niji・journey. You're comfortable working on small, fast-paced teams We currently have a team of four on AI. You'll be working closely alongside some of the best AI researchers in the world, on the literal best image model in the world. We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara), or San Francisco. Visa sponsorships are available.

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. At Plaid, our Data team builds the intelligent systems that help millions of people better understand and improve their financial lives. We’re looking for Machine Learning Engineers who are passionate about applying advanced modeling and machine learning techniques—such as natural language processing, anomaly detection, optimization, and time series forecasting—to create meaningful product impact. As a Machine Learning Engineer within Plaid's Data organization, you will be responsible for designing, building, and scaling machine learning solutions that drive core product experiences. You will take the lead on initiatives to experiment with innovative modeling approaches, deploy production-ready systems, and work closely with engineers and data scientists to translate raw data into valuable insights. If you are passionate about advancing state-of-the-art ML to empower financial freedom for all, we encourage you to apply.Responsibilities • Hands-on develop, productionize, and operate Machine Learning models and pipelines to improve a diverse range of Plaid products., • Continuously proposing and developing new features to improve the AI/ML model performance., • Working with the ML infrastructure team to improve ML infrastructure that powers the end-to-end ML development lifecycle., • Debugging ML production issues and ensuring stable model serving., • Work collaboratively with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.Qualifications, • 8+ years of experience developing, training, and deploying ML models in production environments, • Proven experience building and maintaining data-intensive backend applications within large, distributed systems, • Strong programming skills in Python and familiarity with tools such as Spark, Jupyter, and standard ML libraries, • Background in fintech or other data-rich, regulated domains, • Demonstrated ability to take ownership and drive projects from concept to measurable business impact, • Solid understanding of data engineering and analytics concepts, • Skilled at collaborating across technical and non-technical teams, • Master’s degree (or equivalent experience) in Computer Science, Mathematics, Engineering, or a related field, • Nice to Have: Hands-on experience with data engineering or analytics tooling

Job Description Who We Are At TwelveLabs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-language modeling, allowing developers to build programs with state-of-the-art semantic search, summarization and analysis capabilities. TwelveLabs has raised $107 million in Seed + Series A funding from world-class VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. About The Role As a Machine Learning Engineer at TwelveLabs, you will drive our ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows. Scaling our training, inference, and evaluation systems — all while improving the reliability of our model deployments / operations / versioning / etc. — is the essence of the role. This role is a perfect fit for senior engineers who get excited by the prospect of advancing the State of the Art in vision-language modeling by perfecting ML systems and infrastructure! In This Role, You Will: * Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency e2e systems * Own model deployment, metadata management, and high-throughput inference strategy for both retrieval ("Marengo") and generative ("Pegasus") models * Mentor junior engineers/researchers, and hold a high bar around code quality / engineering best practices * Build the highest impact, not the flashiest, libraries and services * Lead by example in interviewing, hiring, and onboarding passionate and empathetic engineers * Deliver industry leading applied research solutions to problems like VLM finetuning, auto-labeling of video-text datasets, and model-based filtering of said datasets to optimize (end-)model performance * Work across teams to understand and manage project priorities and product deliverables, evaluate trade-offs, and drive technical initiatives from ideation to execution to shipment You May Be A Good Fit If You Have: * 6+ years of relevant industry experience * Demonstrated experience as a technical lead to deliver projects end to end. * Strong Python expertise and considerable prior work history with at least one statically typed language (we use Golang) * Experience with modern ML frameworks (i.e. PyTorch, Tensorflow) Strong Candidates May Also Have Experience: * Scaling ML systems and/or data infrastructure to workloads of petabyte+ scale * Building 0-to-1 mission critical AI/ML applications from scratch * Optimizing model inference (TensorRT, ONNX, Triton Inference Server) * Building Kubernetes-based systems for distributed data/ML workflows * Working with FFmpeg or other high performance image/video processing libraries * A PhD, or a Master's degree, in machine learning or a closely related discipline * Acquiring, filtering, (re)labeling, or sanitizing large scale language or vision-language datasets for LLM/VLM pretraining Interview Process 1. Recruiter Phone Screen, 2. Initial Technical Assessment, 3. Hiring Manager Interview, 4. Onsite Technical Interview [In-Person], 5. Final Interview: Culture Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. Benefits and Perks 🤝 An open and inclusive culture and work environment. 🧑️‍💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology. 🦷 Full health, dental, and vision benefits. ✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. 🛂 VISA support (such as H1B and OPT transfer for US employees). Compensation Range: $225K - $325K

Job Description The Company: Surrozen is a biotechnology company pioneering targeted therapeutics that selectively activate the Wnt Pathway for tissue repair and regeneration. Surrozen is focusing its Wnt biology expertise and Wnt signal modulation antibody technologies on its ophthalmology programs including development of new treatment options for retinopathies. The Company recently completed a private placement consisting of two tranches in aggregate up to $175 million in gross proceeds to fund multiple ophthalmology programs through initial Phase 1 safety, tolerability and efficacy studies. The Company expects to file an IND in 2026. Modulation of Wnt signaling has the potential to be relevant in a broad range of highly prevalent eye diseases including “wet” and “dry” Age Related Macular Degeneration (AMD), diabetic retinopathy, Fuchs’ endothelial corneal dystrophy (FECD), and non-infectious uveitis as well as certain rare eye diseases like retinitis pigmentosa, Stargardt’s and Familial Exudative Vitreoretinopathy (FEVR). The two lead candidates for the treatment of retinopathies include SZN-8141 (Fzd4/VEGF) and SZN-8143 (Fzd4/VEGF/IL-6). SZN-8141 combines Frizzled 4 (Fzd4) agonism and Vascular Endothelial Growth Factor (VEGF) antagonism which has the potential to provide benefits over treatment with single agents for Diabetic Macular Edema (DME) and neovascular Age Related Macular Degeneration (wet AMD). SZN-8143 combines Fzd4 agonism, VEGF antagonism, and interleukin-6 (IL-6) antagonism which may have benefits over single agents for treatment of DME/wet AMD/uveitic macular edema (UME). Job Overview: We are seeking a highly motivated Scientist, full-time position to support drug development programs in the ophthalmology space. They will be involved in establishing vitro model systems and cell based assays for evaluating antibody drug efficacy and mode of action. They will also be involved in designing and executing in vivo MOA studies in various animal eye disease models, leveraging state-of-the-art technologies and techniques. The successful candidate will have a PhD degree in Biochemistry/Cell and Molecular Biology/Developmental Biology/Neurobiology and, ideally, with postdoctoral training in eye biology or ophthalmology related fields. The candidate should demonstrate, with a good track record of peer-reviewed publications, excellent scientific vision, critical thinking, technical versatility and productivity. This is an individual contributing role with good team-work spirit. This position offers an exciting opportunity to contribute to many of Surrozen’s preclinical and clinical programs to potentially transform the treatment options of severe eye diseases, including DME, nAMD and dAMD. Pay Range: $110,435 - $178,247 Primary Duties: • Design and execute experiments: Design and perform in vitro (cell-based) and sometimes in vivo (animal-based) studies to explore disease mechanisms, Wnt biology, and test new molecules., • Discover and validate targets: Identify potential new targets for drug intervention and validate their role in the disease process through advanced molecular and cellular biology techniques., • Develop and run assays: Develop and optimize high-throughput screening assays to test and rank large pools of drug candidates., • Analyze and interpret data: Systematically analyze complex experimental data, critically evaluate and interpret data, draw conclusions, and present findings to project teams to guide drug development decisions., • Collaborate across functions: Work closely with cross-functional teams, including protein biochemists, pharmacologists, and data scientists, to drive discovery programs., • Manage external partnerships: Engage with and oversee work conducted by contract research organizations (CROs) for specialized tasks., • Engage with key opinion leaders (KOLs): Develop and maintain communication with a network of scientific advisors and consultants., • Contribute to scientific strategy: Stay current with scientific literature and contribute to setting the strategic direction for discovery efforts in the ophthalmology therapeutics field., • Ph.D. in Biochemistry, Cell Biology, Molecular Biology, Developmental Biology, Neurobiology or related fields, • Minimum 2+ year experience in eye research with track record of peer reviewed publications, • Demonstrated strong wet-lab molecular and cell biology techniques, e.g. molecular cloning, qPCR, siRNA, Crispr-Cas9 gene editing, IF/IHC, ISH/FISH, FACS, ELISA, Western blotting, protein IP, mammalian cell/organoid culture, reporter/enzymatic cell-based assays, animal tissue manipulation and primary cell isolation, • Experience with fluorescence confocal microscopy and imaging analysis is a must, • Familiar with in vitro, ex vivo and animal retinal disease models, • Experience and good knowledge in advancing antibody therapeutics are highly desired, • Experience with high-throughput sequencing, single-cell sequencing, spatial transcriptomics, proteomic workflow, R programing and data analysis is a plus, • Excellent organizational and communication skills, • Attention to detail, self-motivated, • Experience in coaching junior scientists or students, • Strong interpersonal skills and a team player committed to success and getting the job done well in a highly dynamic environment Benefits • We offer a dynamic working environment and a collaborative, passionate team, • Excellent benefits, including competitive employer contributions, • Stock Options, • Paid vacation, sick time and holidays, • Shuttle service to/from Caltrain, BART and the SSF Ferry, • State of the art research facility complete with bowling alley and onsite gym amenities available through The Cove

Job Description On Lok PACE We are a non-profit committed to our participants. Dedicated to The Care of Elders: PACE (Program of All-Inclusive Care for the Elderly) was developed to answer the many problems around caring for frail seniors. The PACE model is centered on the belief that it is better for the well-being of seniors with chronic care needs and their families to be served in their community whenever possible. Seniors, their family members, and caregivers face many issues, including transportation to appointments, management of medications, coordination of medical care from different specialists, lack of social interaction, and ability to stay alone at home. On Lok PACE participants receive in home care services and transportation to a On Lok PACE center for primary medical care, social and recreational activities, and other senior care services. We understand the importance of a system that works together. Your expertise, drive and passion can help us carry out our mission to improve lives and advance healthcare. Join our team of leaders to begin a rewarding career! POSITION SUMMARY: Under the direction and supervision of the Program or Center Manager, the Activity Therapist plans, develops, implements, and oversees activity program services for participants. DUTIES / RESPONSIBILITIES: • Implements and evaluates creative, individualized, and therapeutic activities for participant care plans., • Trains and teaches activity aides and activity leaders new activities to implement in the day centers as well as delegates assignments and supervises their performance., • May provide health education, training, consultation and support to aides, participants, and family caregivers that promote optimal well-being., • Plans and offers varied monthly programs and uses group and individual oriented interventions to maximize participants' cognitive and functional abilities. Offers therapeutic activities daily for participants with special needs., • Works with the Activity Specialist to plan and implement monthly community outings, agency wide special events and activity programming goals to enhance overall services by the department., • Works with Volunteer Coordinator monthly to recruit and orient appropriate volunteers for specific activities., • Documents participants' involvement in activities, and revises care plans as needed., • Participates in quarterly Quality Assurance program (with training from Activity Specialist), and/or other task/committee/special projects, as assigned by Activity Specialist., • Actively participates in team discussions offering feedback, ideas and suggestions, both on a day-to-day basis and in monthly department staff meetings., • May assist with personal care of participants as needed; for example, escorting the participant to the restroom and or toileting, and/or assistance with feeding., • Other related duties as assigned QUALIFICATIONS (knowledge, skills, abilities): • Graduate of an accredited college with a B.A. in art therapy, dance therapy, music therapy, recreation therapy, occupational therapy, social work, or health related field., • Two years of professional work experience with the elderly or frail population in a healthcare setting within the last 5 years., • Experience working with older adults with dementia preferred., • May require current certification in CPR and First Aid., • Compassionate, patient, creative and strong social skills required., • Interest and ability to work in a diverse team., • Stability, maturity, creativity and flexibility in work., • Ability to work with volunteers and contract staff., • Written and oral fluency in English is required; bilingual (Cantonese or Spanish) preferred. Below are additional qualifications if your assignment is based out of the Montgomery Center: QUALIFICATIONS (knowledge, skills, abilities): • Bilingual (Cantonese and English) required., • Experience working with seniors with dementia required. On Lok's Employee Benefits include (eligible for any regular position for 20 hr/wk or more): • Medical, Dental, and Vision coverage, • Retirement Savings Plan 403(b) and Term Life/AD&D Insurance, • Flexible Spending Account, Commuter Benefits, Pet Insurance, and Employee Discount Program, • Mental Wellness Resources and Employee Assistance Program (EAP) Pursuant to the San Francisco Fair Chance Ordinance, and state and federal laws (including federal PACE requirements at 42 CFR 460.64(a); 460.68(a), we will consider for employment qualified applicants with arrest and conviction records. On Lok is an equal opportunity employer committed to a diverse and inclusive workforce. All applicants will receive consideration for employment without regard to sex (including pregnancy), race, religion, color, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, disability, medical condition, genetic information, marital status, age, military or veteran status, or any other legally protected status. If you require reasonable accommodation to participate in the job application or interview process, to perform essential job functions and/or to receive other terms, privileges or benefits of employment please contact Talent (). Job Posted by ApplicantPro

Job DescriptionCompany OverviewCanvas Medical is accelerating everyday medicine with an EMR platform built for healthcare automation. We create modern, elegant front- and back-end tooling to enable new ways for developers and clinicians to integrate data, automate workflows, and collaborate to solve healthcare's toughest challenges. In doing so we advance our mission to give care teams superpowers with software. 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 RoleWe're hiring an Applied AI Operations Lead to join our GTM Operations team and drive successful deployment, adoption, and governance of AI agents across our customer base. This role serves as the critical bridge between our Applied AI engineering team and the healthcare organizations implementing Canvas's state-of-the-art AI capabilities to transform their clinical and operational workflows. You'll be the hands-on expert who partners directly with customers to deploy and manage AI agents built with foundation model APIs and our server-side SDK, ensuring they deliver measurable value in real-world healthcare settings. This means working closely with clinical, operational, and financial stakeholders to understand their unique workflows, configure agents for optimal performance, and operate robust governance frameworks that build trust in AI-powered automation. This role is ideal for someone who combines technical depth in LLM-based systems with exceptional customer-facing skills and a passion for healthcare transformation. You'll translate complex AI capabilities into compelling value stories, guide customers through change management, and create repeatable playbooks that accelerate AI adoption across the Canvas customer base. Your work will directly impact how thousands of care teams leverage AI to deliver better patient outcomes while reducing administrative burden. You'll collaborate with our Applied AI engineering team to inform product development based on field insights, work with customer success to ensure smooth implementations, and partner with technical marketing to showcase the transformative impact of AI agents in Canvas. As AI becomes central to healthcare delivery, you'll be at the forefront of this revolution, helping our customers realize the full potential of healthcare automation. What You'll DoCustomer Deployment & Implementation- Partner directly with healthcare organizations to deploy and configure AI agents for clinical documentation, scheduling, billing, communications, and workflow automation- Conduct workflow assessments to identify high-impact automation opportunities and design agent implementations that deliver measurable ROI- Configure and optimize agent performance using prompt engineering, context management, and tool selection based on specific customer requirements- Create and maintain customer-specific evaluation frameworks that demonstrate agent effectiveness and build stakeholder confidence Governance & Trust Building- Maintain AI governance frameworks that ensure safe, reliable agent operations in production healthcare environments- Design and implement monitoring systems for agent performance, including accuracy tracking, drift detection, and quality assurance protocols- Partner with clinical and compliance teams to ensure deployed agents meet regulatory requirements and operational standards- Develop and deliver training programs that enable care teams to effectively collaborate with AI agents Technical Excellence & Innovation- Work hands-on with foundation model APIs (OpenAI, Claude, Gemini) and the Canvas SDK to troubleshoot and optimize agent behavior- Collaborate with Applied AI engineering to translate field insights into product improvements and new capabilitiesBuild and maintain a library of best practices, implementation templates, and governance playbooks that accelerate customer success- Stay current with advances in LLM technology and healthcare AI applications to guide strategic customer conversations Strategic Customer Partnership- Serve as the trusted AI advisor for Canvas customers, helping them navigate the transformation to AI-powered healthcare operations- Drive executive conversations about AI strategy, demonstrating how Canvas's platform capabilities enable competitive advantage- Create compelling narratives around AI impact using customer success stories, performance metrics, and ROI analyses- Partner with sales teams on strategic opportunities, providing technical expertise and vision for AI transformation QualificationsRequired Experience & Background- 5+ years in technical customer-facing roles (solutions engineering, technical consulting, customer success engineering)- Demonstrated experience deploying and managing LLM-based applications in production environments- Track record of driving successful enterprise technology implementations with measurable business outcomes- Strong project management skills with ability to juggle multiple customer engagements simultaneously AI & Technical Expertise- Hands-on experience with products offered from foundation model providers (OpenAI, Anthropic, Google) and AI tools for low-code automation, with understanding of their capabilities and limitations- Understanding of AI safety, alignment, and governance principles- Experience with evaluation frameworks, A/B testing, and performance monitoring for AI systems- Learned experience with the edges and limitations of AI products, and understanding of the iterative process required to get high quality results Healthcare & Domain Knowledge- Healthcare technology experience required, with ability to give workflow advice and construct automations that meet the needs of healthcare users- Understanding of clinical workflows, EMR systems, and healthcare operations a plus- Familiarity with HIPAA, clinical documentation standards, and healthcare compliance considerations- Ability to quickly develop domain expertise and speak credibly with clinical stakeholders Skills & Capabilities- Comfort with ambiguity and ability to define structure in undefined spaces- Exceptional written and verbal communication skills with ability to create compelling technical content- Strong analytical and problem-solving abilities with data-driven approach to decision making- Experience creating and delivering technical training to diverse audiencesWho You Are • You're energized by ambiguity and thrive in fast-paced environments where you can experiment, iterate, and scale what works, • You have 5+ years of experience implementing workflow tools and automation solutions in enterprise settings, with 2+ years of hands-on experience with LLM-based systems, • You're deeply familiar with foundation model capabilities and have practical experience with context engineering and adversarial testing, • You excel at translating technical complexity into business value, comfortable presenting to both technical teams and C-suite executives, • You bring a consultative approach to customer engagement, able to diagnose problems, design solutions, and drive change management, • You have experience in healthcare technology or a strong willingness to rapidly develop domain expertise in clinical and operational workflows, • You combine technical depth with exceptional communication skills, able to create documentation, deliver training, and influence stakeholdersWhat Success Looks Like at 90 Days, • You've successfully deployed AI agents with at least 3 Canvas customers, demonstrating measurable improvements in efficiency and user satisfaction, • You've made significant contributions, based on your field insights, to the best practices playbook for AI agent deployment and monitoring

Job DescriptionWe are searching for a Robotics Technician to support the standardization and integration of industrial controls systems in our Robotics R&D Laboratory. At OSARO we are creating software and machine learning products that are transforming the static robotics industry by endowing industrial robots with Level 4 autonomy. This level of autonomy is needed to perform an extensive variety of useful tasks and integrate tightly with our customers’ complex software environments. As a Robotics Technician, you will collaborate with our research and software engineers to investigate, analyze and resolve quality issues by conducting audits, analyzing defect trends and leading continuous improvement projects. You are passionate about what you build, you feel a strong sense of ownership, and you love ever-changing challenges. You care deeply about your team which is why you are direct and you believe in doing what you say. Compensation: $25 - 35 an hour, perhaps more depending on experienceWhat You'll be Doing: • Supporting internal engineering teams by troubleshooting electrical and mechanical systems to make sure equipment is operational for both demos and development., • Testing experimental hardware alongside engineering teams and researchers., • Assisting in the creation and enforcement of industry-standard safety practices., • Generating documentation for standardized installation and commissioning procedures for all electrical, mechanical, and pneumatic components., • Collaborating with other departments (machine learning, software, sales, and support) to ensure a high level of communication and cooperation., • Scheduling and performing regular preventive maintenance on all equipment including robots, electrical, mechanical, and pneumatic control systems., • Creating and maintaining detailed records of issue resolution, logging events during the repair workflow, and accounting of parts consumed.Experience and Skills You'll Need, • 2-5 years experience in maintenance, electronic installation, or service work in a related industry, or Military experience as an electrical/mechanical MOS preferred., • Experience in reading electrical schematics, mechanical schematics and the software used to read them, • Must have provable electrical experience, • Experience in basic Solidworks use, • Experience fabricating with industrial machinery., • Practical hands-on experience with electrical, mechanical, and pneumatic systems., • A strong work ethic and a willingness to learn in a small team-based environment., • Able to interface comfortably and effectively both internally and externally at all levels., • Legal authorization to work in the U.S. is required (we do sponsor H1B transfer).Bonus if You Have, • Electrical knowledge in controls (relays, contacts, switches)., • Implemented systems with industrial communication protocols such as Modbus, PROFINET, Ethernet/IP, Ethercat.

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

Job DescriptionWe are seeking a Senior Electrical Technician whose work will help us deliver our smart automation solutions into customer hands. OSARO combines its software and advanced machine learning with the services and industry expertise needed to deliver improved sight and skill to existing robot applications, while enabling new applications for the factories and warehouses of the future. Our products endow industrial robots with the level of autonomy needed to perform an extensive variety of pick and place tasks and integrate tightly with our customers’ complex software environments. As Senior Electrical Technician you will help expand our team’s capabilities. This position requires electrical aptitude as well as the ability to manage competing priorities for yourself. You must be able to build out prototypes without major instruction and be able to convey critical feedback when necessary about designs. Major electrical troubleshooting will also be required as some machinery is more sensitive to damage while testing new prototypes. A basic understanding of PLC functionality and wiring is required to do a majority of upgrade tasks. Also an ability to read electrical schematics and use it to wire new sensors into the system. Our culture emphasizes collaboration, creativity, and curiosity to help us overcome existing technological barriers in the industry to create truly innovative technologies. We are growing quickly with a vision to build and deliver products to the world with a continuous emphasis on research and development to push the technological edge. We value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. You are someone who cares deeply about your team so you are both direct and believe in doing what you say.What You'll be Doing • Maintaining a robotics lab including building industrial robot work cells, maintaining industrial robot components, and maintaining spare part/tool inventory., • Managing contract workers during surge assembly jobs., • Participating in discussions with leadership on project /task progress and status., • Attending and participating in regular project meetings., • Manage workflows to improve process improvement., • Maintain lab cleanliness and take responsibility for tool crib readiness.Experience and Skills You'll Need, • Must have at least 3 years of experience maintaining a lab or warehouse., • Excellent verbal and oral communication skills., • Some experience working with PLC wiring and troubleshooting., • Proficient with reading CAD drawings and assembly documentation., • Excellent hands-on skills and mechanical aptitude., • 5 years experience with precision fabrication and assembly, including using power tools (welding, manual mill, band saw, drill press, etc.)., • 2 years experience in reading electrical schematics, mechanical schematics and the software used to read them., • 4 years minimum experience with industrial grade electrical wiring., • Preferred electrical certifications, low or high power., • Worked with 480v 3 phase powered industrial equipment., • Good initiative and self-motivation; ability to work with little supervision., • Legal authorization to work in the U.S. is required (we do sponsor H1B transfer).Bonus if You Have, • Experience with 3D printing., • Experience with CNC machining.

Job Description The Role: Spellbrush, the world’s leading generative AI studio behind niji・journey, is looking for an AI Infrastructure Engineer to join us in building out end-to-end ML infrastructure to run our models on all platforms. What you’ll do: * Design, implement and run our next-generation inference architecture for running all our models powering all platforms and applications (mobile, web, etc.). * Work alongside a fast-paced and nimble team developing the latest state-of-the-art image generation models serving over 16 million users You might be a great fit if: * You have experience with large distributed systems You have familiarity with the latest hotness like K8S, Kafka, NATS, Redis, etc. You’ve cut your teeth on both on-prem and multi-cloud clusters. But most importantly, you deeply understand the tradeoffs and the failure mode of each system you introduce (and potentially even have the battle scars to prove it!). * You have an excellent understanding of GPU’s handling large workloads GPU workloads are different from traditional CPU workloads in very interesting ways. Experience deploying, or even optimizing them end-to-end, is a huge plus for this role * The anime aesthetic resonates with you. It's no secret – we're huge anime enthusiasts, and our work focuses on the anime aesthetic. Your work will enable millions of users to partake in an evolving creative movement. * You're comfortable working on small, fast-paced teams We currently have a small tight-knit team on AI. You'll be working closely alongside some of the best AI researchers in the world, on the literal best image model in the world. We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara), or San Francisco. Visa sponsorships are available. The final base salary is dependent upon location, experience, fit, and other factors. In addition, we offer a generous compensation package that includes equity, top-tier employer-sponsored health, dental, and vision insurance, and additional perks! At Spellbrush, we value creativity, collaboration, and innovation. If you're excited about working with cutting-edge technology and passionate about anime, gaming, and generative AI, we’d love to hear from you! To apply - please share your previous work experience/resume, Github, or portfolio and the name of the best waifu or husbando in your message!

Job Description PLEASE APPLY THROUGH THIS LINK: DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation, • Work on building the most human sounding AI speech model in the worldAn Ideal Candidate Should Have, • Experience with research and development in NLP or TTS or CV with a focus on image generation., • Experience in ML, • Preferred:, • Experience deploying NLP or TTS models to production at a large scale, • Experience managing engineers and growing a research & development team, • A fast-growing environment where you can help shape the culture, • An entrepreneurial crew that supports risk, intuition, and hustle, • A hands-off approach so you can focus and do your best work, • The opportunity to make an impact in a transformative industry Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionSurgical Technologist II- Children's Operating Room Job ID: 156460 Location: Chapel Hill, NC Facility/Division: UNC Medical Center Status: Full Time Shift: Variable Job Description Description Surgical Technologist II - Children's Operating Room - Medical Center Position qualifies for UNC Medical Center Operating Room Incentive Program: • Up to $5,000 sign-on bonus and $10,000 commitment incentive, • Eligible for up to $10,000 in relocation assistance (based on location) UNC Medical Center Children's OR • Six operating suites, averaging 20-25 cases per day, • Staff able to work in multiple service areas:, • Neurosurgery, • Orthopedics, • ENT, • Oral Maxillofacial, • Burns, • Ophthalmology, • General Surgery, • Plastics, • Urology, • Dental Surgery, • OR uses new, innovative state of the art equipment that reinforces continuous learning opportunities, • Surgeons, OR staff, Anesthesia team and all ancillary services work together daily to provide high quality care for the most acute pediatric patients in North Carolina., • 36 hours/week. Variable shifts. Summary: The Surgical Technologist II works under the supervision of a surgeon and registered nurse to facilitate the safe and effective conduct of invasive surgical procedures, ensuring that the operating room environment is safe, that equipment functions properly, and that the operative procedure is conducted under conditions that maximize patient safety. Surgical technologists possess expertise in the theory and application of sterile and aseptic technique and combine the knowledge of human anatomy, surgical procedures, and implementation tools and technologies to facilitate a physician's performance of invasive therapeutic and diagnostic procedures. Performs surgical scrub duties across multiple services. Serves as a resource in at least one service line. Responsibilities: Performs all the duties and responsibilities of Level I plus the following: 1. Performs technical skill duties in all operating room specialty service areas, ensuring that proper technical practices are employed according to accepted standards of process., 2. Provides proper maintenance, assembly, handling, and sterilization techniques of specialty instrumentation., 3. Follows aseptic technique. Proactively identifies contamination and/or breaks in aseptic technique and implements corrective actions., 4. Performs surgical counts. Follows policies and procedures for incorrect counts and reports discrepancies appropriately., 5. Establishes and maintains sterile field and assures team maintains sterile environment independently. Labels drugs and solutions; monitors quantities used., 6. Assists in the proper identification, preparation, handling, and labeling of surgical specimens., 7. Actively participates in the planning and set up of instruments, supplies, and surgical drapes in an organized manner to provide optimal accessibility during the procedure., 8. Assists the surgeon, demonstrating an understanding of the patient’s anatomy and abnormalities which affect the surgical procedure., 9. Demonstrates appropriate and correct case preparation. Assists in picking cases and planning of instrument needs. Corrects deficiencies at the case level., 10. Recognizes and modifies scrubbing procedures based on pertinent information to develop modifications to standard approaches to care and communicates with the surgical team. Responds to surgical emergencies and follows hospitalwide emergency management plans., 11. Inventories, receives, and stores supplies under the direction of Surgical Services leadership., 12. Serves as role model for new hires, on the job trainees, and other identified teammates. Serves as a mentor for Surgical Tech peers and participates in teaching, guiding, and evaluating the performance of peers during orientation and annual review process., 13. Identifies and reports defective instruments, supplies, and equipment. Assists with restocking operating/procedure rooms and sub-sterile areas., 14. Assists the registered nurse during the intraoperative implementation phase of nursing practice., 15. Participates in data collection for research projects under the direction of an RN., 16. Operates complex equipment and other resources in the operating room, troubleshooting as necessary Other Information Other information: Education Requirements: _ High School Diploma or GED Graduate of an accredited Surgical Technology or Nursing Program; or Graduate of a Military Training Program in Surgical Technology; or Formal education/training may be substituted for individuals with 5+ years of prior experience as a surgical tech Licensure/Certification Requirements: _ Basic Life Support (BLS) for Healthcare Provider certification Certified Surgical Technologist (CST) through The National Board of Surgical Technology and Surgical Assisting or Tech in Surgery (TS-C) through The National Center of Competency Testing Professional Experience Requirements: _ 3+ years Knowledge/Skills/and Abilities Requirements: _ Successful completion of service specific portion of the UNC Health Surgical Technologist competencies. _ Strong communication skills/customer service relations _ Excellent organizational/priority setting skill. _ Ability to function effectively as a mentor & team player _ On-call (May be a requirement depending on the position) Job Details Legal Employer: STATE Entity: UNC Medical Center Organization Unit: Children's OR Work Type: Full Time Standard Hours Per Week: 36.00 Salary Range: $24.13 - $34.70 per hour (Hiring Range) Pay offers are determined by experience and internal equity Work Assignment Type: Onsite Work Schedule: Variable Location of Job: US:NC:Chapel Hill Exempt From Overtime: Exempt: No This is a State position employed by UNC Health Care System with UNC Health benefits. If, however, you are presently an employee of another North Carolina agency and currently participate in TSERS or the ORP, you will be eligible to continue participating in those plans at UNC Health. Qualified applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. UNC Health makes reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as applicants and employees with disabilities. All interested applicants are invited to apply for career opportunities. Please email if you need a reasonable accommodation to search and/or to apply for a career opportunity. Company DescriptionUNC Health is an integrated health care system owned by the state of North Carolina and based in Chapel Hill. UNC Health is committed to empowering health, not just health care. From Magnet recognition to being named one of America's Best Employers by Forbes Magazine, we're proud to say that our hard work is consistently recognized, awarded, and celebrated.UNC Health is an integrated health care system owned by the state of North Carolina and based in Chapel Hill. UNC Health is committed to empowering health, not just health care. From Magnet recognition to being named one of America's Best Employers by Forbes Magazine, we're proud to say that our hard work is consistently recognized, awarded, and celebrated.

Job Description Who We Are At TwelveLabs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-language modeling, allowing developers to build programs with state-of-the-art semantic search, summarization and analysis capabilities. TwelveLabs has raised $107 million in Seed + Series A funding from world-class VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. About The Role As a Machine Learning Engineer at TwelveLabs, you will drive our ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows. Scaling our training, inference, and evaluation systems — all while improving the reliability of our model deployments / operations / versioning / etc. — is the essence of the role. This role is a perfect fit for senior engineers who get excited by the prospect of advancing the State of the Art in vision-language modeling by perfecting ML systems and infrastructure! In This Role, You Will: * Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency e2e systems * Scale multimodal AI/ML systems for video understanding * Deliver industry leading applied research solutions to problems like VLM finetuning, auto-labeling of video-text datasets, and model-based filtering of said datasets to optimize (end-)model performance * Build the highest impact, not the flashiest, libraries and services You May Be A Good Fit If You Have: * 2+ years of relevant industry experience * Strong Python coding skills * Experience with modern ML frameworks (i.e. PyTorch, Tensorflow) * Excellent problem-solving skills and attention to detail Strong Candidates May Also Have Experience: * With at least one statically typed language (we use Golang) * Building 0-to-1 mission critical AI/ML applications from scratch * Optimizing model inference (TensorRT, ONNX, Triton Inference Server) * Working with FFmpeg or other high performance image/video processing libraries Interview Process 1. Recruiter Phone Screen, 2. Initial Technical Assessment, 3. Hiring Manager Interview, 4. Onsite Technical Interview [In-Person], 5. Final Interview: Culture Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. Benefits and Perks 🤝 An open and inclusive culture and work environment. 🧑️‍💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology. 🦷 Full health, dental, and vision benefits. ✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. 🛂 VISA support (such as H1B and OPT transfer for US employees). Compensation Range: $170K - $280K

Job DescriptionWe are seeking a Robotics engineer whose work will help us deliver our smart automation solutions into customer hands. OSARO combines its software and advanced machine learning with the services and industry expertise needed to deliver improved sight and skill to existing robot applications, while enabling new applications for the factories and warehouses of the future. Our products endow industrial robots with the level of autonomy needed to perform an extensive variety of pick and place tasks and integrate tightly with our customers’ complex software environments. As a Robotics engineer you will help expand our team’s capabilities. This position requires Electrical aptitude as well as Fanuc robotics experience. You must be able to diagnose and repair robots as well as commission new robots. You must be able to build out prototypes without major instruction and be able to convey critical feedback when necessary about designs. Major electrical troubleshooting will also be required as some machinery is more sensitive to damage while testing new prototypes. A basic understanding of PLC functionality and wiring is required to do a majority of tasks. Also an ability to read electrical schematics and use it to wire new sensors into the system is required. As Robotics engineer, you will play a pivotal role in expanding our team’s capabilities and ensuring the seamless operation and innovation of our robotic systems. This demanding yet rewarding position requires a strong blend of theoretical knowledge and hands-on practical experience. Our culture emphasizes collaboration, creativity, and curiosity to help us overcome existing technological barriers in the industry to create truly innovative technologies. We are growing quickly with a vision to build and deliver products to the world with a continuous emphasis on research and development to push the technological edge. We value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. You are someone who cares deeply about your team so you are both direct and believe in doing what you say. This role is ideal for a highly skilled and proactive individual who thrives in a dynamic environment and is passionate about pushing the boundaries of robotics technology.Key Responsibilities and Requirements: • Robotics Expertise (Fanuc Focus): A core requirement for this role is significant experience with Fanuc robotics. You will be responsible for the full lifecycle of our robotic systems, including the diagnosis and repair of existing robots, as well as the meticulous commissioning of new robotic units. Your ability to troubleshoot complex robotic issues and bring new systems online efficiently will be critical., • Electrical Aptitude and Troubleshooting: This position demands a high level of electrical aptitude. You must be proficient in major electrical troubleshooting, particularly given that some machinery is highly sensitive to damage during the testing phases of new prototypes. Your expertise in diagnosing and resolving electrical issues will safeguard our valuable equipment and ensure the integrity of our testing processes., • Prototyping and Design Feedback: You will be instrumental in the development of new technologies by building out prototypes with minimal instruction. Furthermore, your ability to convey critical and constructive feedback regarding design flaws or areas for improvement is essential. Your insights will directly influence the refinement and success of our innovative projects., • PLC Functionality and Wiring: A foundational understanding of Programmable Logic Controller (PLC) functionality and wiring is required to execute a majority of the tasks associated with this role. This knowledge will enable you to interact effectively with the control systems that govern our robotic operations., • Electrical Schematics and Sensor Integration: You must possess the ability to accurately read and interpret electrical schematics. This skill is crucial for tasks such as wiring new sensors into existing systems, ensuring proper functionality and integration with our robotic and control infrastructure. This role is ideal for a highly skilled and proactive individual who thrives in a dynamic environment and is passionate about pushing the boundaries of robotics technology.Experience and Skills You'll Need:, • A minimum of 5 years of experience in lab or warehouse maintenance is required., • 3 years of Fanuc Robotics training or experience, encompassing: 1) Diagnosis of alarm codes and internal repairs. 2) Proficiency in all general Fanuc Preventive Maintenance (PM) services., • Excellent written and verbal communication skills., • Some experience with Programmable Logic Controller (PLC) wiring and troubleshooting, with a preference for minor PLC controls experience., • Proficiency in reading CAD drawings and assembly documentation., • Excellent hands-on skills and mechanical aptitude., • 3 years of experience in precision fabrication and assembly, including the use of power tools (welding, manual mill, band saw, drill press, etc.)., • 5 years of experience in reading electrical and mechanical schematics, and familiarity with the associated software., • A minimum of 4 years of experience with industrial-grade electrical wiring., • Preferred electrical certifications, pertaining to low or high power systems., • Experience working with 480v 3 phase powered industrial equipment., • Strong initiative and self-motivation, with the ability to work autonomously.

Job Description:\n\nWe’re looking for a curious, rigorous, problem-hungry platform engineer (who codes!) to carry the ball as we bring Ashby to the big leagues. Ashby builds software that lets talent teams build an efficient, delightful, respectful hiring process. Similarly, you’re an engineer who wants to build a “paved road” that excellent engineering teams can safely take to the moon and back. We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, over 2500 customers, very low churn, and many years of runway. We’ll share more details once we meet, but you now probably have a good idea as to why we're hiring for this role 😅. We’ve listed this role twice: as a Platform Engineer and Site Reliability Engineer – our team does both, and we are open to candidates who lean towards one or the other. About the role and how we work Hi 👋 I’m Colin, Head of EMEA Engineering. I’ve spent a number of years leading engineering teams in startups, and that has always included being close to infrastructure teams - no matter what name they’ve worn (SRE, infrastructure, platform, etc). I’ve got my hands dirty building the initial infrastructure for startups and know the value a talented infrastructure engineer brings. The rigour, the discipline, the peace and quiet when everything just hums along. Our infrastructure is in a good place for now. Nothing is static. Ashby continues to grow rapidly, putting strain on our existing infrastructure. We’re always looking to give our customers more powerful hiring software, and building new product features often requires new pieces of infrastructure. Having herded plenty of snowflakeservers in the past, I’ve learned there’s a better way. I (and Ashby) place a lot of value on code-as-infrastructure. As a Platform Engineer at Ashby, you’ll get to dive into scaling problems, add new capabilities to our platform, and think about how our entire team interacts with infrastructure. All our own engineers own their projects end-to-end and ship with minimal oversight. We don’t put roadblocks to ensure security when common sense will do and we don’t build processes like change management boards around the lowest common denominator. But with great power comes great responsibility: we handle personal and confidential data about some of the biggest decisions we ever make at work. As we grow, more and bigger customers rely on us to be reliable and secure and how we operate internally will need to evolve. We’re at an inflection point where our ability to scale and deliver a seamless experience has a make-or-break impact – we have some of the fastest growing companies using our platform every day to hire hundreds of people per month. We need someone like you to make good decisions, debug thorny issues, and build us a future-proof platform that can withstand this scale. Our small but mighty infrastructure team has set up a secure and simple environment (we don’t believe in spinning up a new service unless necessary!) for our growing product team to build in. That’s where you come in: you, too, will own projects end-to-end and have an impact on core parts of the Ashby developer and user experience. For instance, you could work on: Optimize our homegrown ultra-dynamic recruiting DSL-to-SQL compiler, and create tools to help developers do so Create automated guardrails for the security and privacy of our customer data Help our developers ship features fast through canary deploys, gradual rollouts and feature flags, while keeping complexity manageable and reducing downtime Work with the business and the engineering team to define SLOs and implement the corresponding SLIs. Ensure all communication with external services supports retries and circuit-breakers. Implement the infrastructure to support an event-driven architecture and data warehouse. We’re looking for someone who can build systems that an engineer would like to work with: mature and boring but open-minded and approachable. We have to balance reliability with flexibility. Software and its availability are now mission critical to almost every working professional. To be in an SRE in today’s world, you have to be extremely comfortable evaluating risk, those you take and those others take. Why you should or shouldn’t apply You should apply if: You never stop. You get weirdly obsessed about a problem that doesn’t yet make sense, turn it every which way in your head until the explanation dawns. You’ll search every rock, inventory every clue, hunt every mismatch. We do that, too - together we’ll be armed with state-of-the-art monitoring tools and an impressive amount of data, and join you in the adventure. You don’t take shortcuts. You’re speaking up for the future user, the edge case, the doomsday design. You know product engineers want to build it with you, and see them as allies, where you give them the power and knowledge to access greater things. You’re someone who cares about what you do and the team you do it with, and want to work with others who do as well. You’ll be on interview panels choosing your next colleagues, and you’ll take that seriously. You only want to work with people who make you better, and want to make you better. You’ve built infrastructure at a slightly later stage than Ashby is at - you know how to deal with millions of data points, have seen great (or not great) infrastructure make or break customer experience, and have automated everything from provisioning to monitoring and release process. You’re a Swiss army knife (all nationalities welcome ;) ). You’ll get every hard problem the company faces. You’ll get to do infrastructure updates, security enforcements, database optimization, Kubernetes debugging, and digging through Typescript traces figuring out what doesn’t work. You probably don’t feel like an expert at at least some of that... and that appeals to you. All that makes for a pretty specific kind of role, and the job isn’t to everyone’s tastes! You should not apply if: You don’t want to make your own decisions on what is the best paved road to build for Ashby, and expect a lead or manager to make the final call on what that is. Our leads (and managers) give ample commentary and feedback on technical decisions and how they’re made, but you ship what you want to build and are accountable for it. You hate SQL. We have a lot of features built around making the best out of data, and our platform engineers also sometimes dive into a gnarly report or advise engineers on a more performant data model to use. You don’t want to code. Our SREs are some of our best software engineers and they are just as responsible for the application as the other engineering teams - albeit at a platform level. Reviewing code and submitting code changes will be part of your day to day. Your primary mode of communicating best practices to engineers is live meetings. We’re a very async culture and written communication (and code) is how changes get made. As an Ashby SRE, you will need to share new tooling and best practices with engineers faster than your next meeting opportunity will take you. You’ve never delivered a project, on your own, without someone prodding you for updates. We have no project or delivery managers to fill your calendar with busy work, but the flip side is you have to do your project management, seek the help you need to get unstuck and cut scope when it’s worthwhile. Technology Stack I’m sharing our tech stack with the caveat that we don’t require previous experience in it: TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. We use Datadog and Sentry on 100% cloud-based (AWS) infra. We take developer experience and reliability seriously: all engineers are on call in a follow-the-sun model, and everyone contributes to developer tooling. What We’re Building As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back. Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and make any last-minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 TA software didn’t help. As hiring managers, we know TA is a critical function, and as engineers, we know software can do better. So, we built and continue to build Ashby to give TA teams the highest standard of tooling. Software that’s intelligent and powerful. Software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We want other functions and departments to be jealous of what TA teams can do with Ashby, and today they often are! Engineering Culture Our engineering culture is motivated by Abhik and Benji’s (our co-founders) belief that a small talented team, given the right environment, can build high-quality software fast (and work regular hours!). We do it through: Minimal process with ownership over decisions normally made by product and design Natural collaboration and deliberate communication Investing in tools and abstractions that give us leverage Putting effort into building a diverse team Minimal Process & Lots of Ownership The best engineers we’ve worked with delivered reliably magical outcomes. They took customer problems and relentlessly drove them to solutions that were not only successful but often brilliant and creative. While they did this with minimal oversight, stakeholders were never in the dark as to what was going on, and no setback was a surprise. Traditional product-development processes aren’t meant for the best engineers. Their purpose is to create consistent outcomes regardless of the engineer’s skill. But, consistency comes at the expense of an engineer’s time and freedom—both ingredients necessary to generate those magical outcomes. As a result, process stifles the best engineers and doesn’t give others the opportunity to practice the behaviors that made the best engineers the “best.” At Ashby, we want to build an environment that encourages every engineer to be their best. So, at Ashby, every Engineer runs their project. Product Managers (and Designers) build strategy, do customer research, and hand off problem briefs to Engineers. Engineers take on the rest: they research the problem, write product specs, build wireframes, and implement their solution end-to-end. We rely on engineers, not process, to push information outward to the relevant folks (e.g., Product Managers) and pull folks in to help (e.g., Designers, Infra). It’s a new level of ownership for many engineers, but we’d rather an engineer fail a bit and coach up their skills than use process as a crutch. Not everyone succeeds in our culture, but those who do thrive. Collaboration is Natural & Communication is Deliberate Our engineering team consists of lifelong learners who are talented but also humble and kind (meet them here!). These attributes create an environment where collaboration happens naturally. We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers are in <2h meetings per week (Abhik wrote about it here). To drive it home, here's a recent calendar of an engineer who has been with us for over 4 years: We also meet in person at least twice a year, once as a department and once as a company. You also have a small budget to meet up with folks in your city/region. Increase Leverage, not Team Size We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 15x a day. A debugger that works out of the box. Everyone on the team has contributed to our developer experience 💪🏾. Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) that we constantly improve. Each improvement to a common component cascades throughout our app (short video below). Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: And a demo of one of these building blocks: Put Effort into Diversity Diverse teams drive innovation and better outcomes. Having seen my mother and partner build their careers as minority women in non-diverse fields, I want to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups. Today, 21% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. Interview Process At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together via pair programming, writing product and tech specs collaboratively, and talking through decisions. There are no leetcode or whiteboard exercises. Our interview process is three rounds: Introduction call with Hiring Manager (15 to 30m, live) A technical screen where we pair in our actual codebase (1h, live) Three non-coding interviews that focus on technical design, debugging incidents, and infrastructure (3h 15m, live can be split across multiple days) Depending on our leadership team’s bandwidth, we may start with an additional 30m screen with a recruiter. Your hiring manager will be your main point of contact and prep you for interviews. Each round will have written guidance so you know what to expect (you’ll need minimal preparation). You’ll meet 4 to 6 people in engineering (with 5-15 minutes in each interview to ask them questions). If we don’t give an offer, we’ll provide feedback! Your First Three Months at Ashby We want an exceptional onboarding experience for every new hire. At Ashby, your dev environment is set up with a single script, you push your first product change on day one, and you spend the rest of your time shipping product changes that give you a tour of our codebase and b

Job Description On Lok PACE We are a non-profit committed to our participants. Dedicated to The Care of Elders: PACE (Program of All-Inclusive Care for the Elderly) was developed to answer the many problems around caring for frail seniors. The PACE model is centered on the belief that it is better for the well-being of seniors with chronic care needs and their families to be served in their community whenever possible. Seniors, their family members, and caregivers face many issues, including transportation to appointments, management of medications, coordination of medical care from different specialists, lack of social interaction, and ability to stay alone at home. On Lok PACE participants receive in home care services and transportation to a On Lok PACE center for primary medical care, social and recreational activities, and other senior care services. We understand the importance of a system that works together. Your expertise, drive and passion can help us carry out our mission to improve lives and advance healthcare. Join our team of leaders to begin a rewarding career! POSITION SUMMARY: Under the direction and supervision of the Program Manager, Activity Specialist, and Activity Therapist, the Activity Leader plans, develops, implements, and oversees activity services for On Lok participants. DUTIES / RESPONSIBILITIES: • Evaluates and implements creative and individualized participant care plans. Trains activity aides'delegates assignments and supervises their performance., • Plans and offers varied monthly programs and uses group and individual oriented interventions to maximize participants' cognitive and functional abilities. Offers therapeutic activities for daily for participants with special needs., • Works with Activity Therapist & Specialist to plan and implement monthly community outings and special events. Work with Volunteer Coordinator to recruit and orient appropriate volunteers for specific recreation activities., • Documents participant involvement in activities and revises their care plan as needed., • Participate in task/committee, special projects, as assigned by Activity Specialist., • Actively participates in team discussions offering feedback, ideas and suggestions both on a day-to-day basis and in monthly department staff meetings., • Consults with supervisor & activity therapist regarding participant care plans, • Minimum of two years' experience in a social, recreational or educational program within the past five years, one year which was full time working in a health care setting; OR have completed at least 36 hours of training in a course designed for activity leadership from an accredited college; OR be an occupational therapist, art therapist, music therapist, dance therapist, recreation therapist, occupational therapy assistant or a qualified social worker, • One-year experience working with the elderly or frail population required., • Ability to work as part of a diverse team., • Stability, maturity, creativity and flexibility in work., • Ability to work with volunteers and contract staff. On Lok's Employee Benefits include (eligible for any regular position for 20 hr/wk or more): • Medical, Dental, and Vision coverage, • Retirement Savings Plan 403(b) and Term Life/AD&D Insurance, • Flexible Spending Account, Commuter Benefits, Pet Insurance, and Employee Discount Program, • Mental Wellness Resources and Employee Assistance Program (EAP), • Holidays (10 per year), vacation time, sick leave, long-term disability insurance, and additional benefits are available. Pursuant to the San Francisco Fair Chance Ordinance, and state and federal laws (including federal PACE requirements at 42 CFR 460.64(a); 460.68(a), we will consider for employment qualified applicants with arrest and conviction records. On Lok is an equal opportunity employer committed to a diverse and inclusive workforce. All applicants will receive consideration for employment without regard to sex (including pregnancy), race, religion, color, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, disability, medical condition, genetic information, marital status, age, military or veteran status, or any other legally protected status. If you require reasonable accommodation to participate in the job application or interview process, to perform essential job functions and/or to receive other terms, privileges or benefits of employment please contact Talent (). Job Posted by ApplicantPro

Job Description City of Piedmont is a charter city of approximately 11,000 residents located in the beautiful Oakland Hills, overlooking the San Francisco Bay. The city, which is virtually built out, consists of established residences on quiet tree-lined streets. Within Piedmont's 1.8 square-mile area there are five city parks and numerous landscaped areas which offer wooded paths, tennis courts, children's playgrounds and picnic facilities. The city will be opening a new all electric Community Pool featuring a state-of-the-art competition pool, activity pool and bathhouse facility. DEFINITION Head Swim Instructors provide planning and instruction for aquatic programs, lessons and camps within the guidelines of the City of Piedmont's comprehensive aquatics program. They are responsible for assuring that swim lesson sessions are conducted effectively, efficiently and safely. They make sure Swim Instructors are ready and have what they need to conduct classes, intervene, as needed, to address concerns, and act as the main point of contact for parent communication. CLASS CHARACTERISTICS Under the direction of the Recreation Supervisor and Recreation Coordinator for Aquatics, Head Swim Instructors are distinguished by their ability to handle emergency situations, their level of expertise in swim instruction, swim strokes proficiency and knowledge, their ability to demonstrate and break down the stroke mechanics and communicate well with children and adults. In addition to an emphasis on foundational swim stroke proficiency, a Head Swim Instructor will oversee the entire session on swim lessons, mentor and provide guidance to all Swim Instructors. A Head Swim Instructor must: • Be at least 18 years old or complete high school/GED, • Possess a work permit required if under 18, • Have extensive swim experience, such as participation in swim teams or clubs, • Have at least two years of experience successfully teaching or coaching swim lessons, • Teach swim and water safety lessons to participants of all ages-from six months to adult-following the established program curriculum and progression, • Demonstrate proper swim stroke mechanics and techniques, providing clear, age-appropriate instruction and individualized feedback to both children and adults, • Collaborate with the aquatics team to help design lesson plans and participate in pre-registration activities, including assessing participant skill levels, • Maintain a safe and welcoming learning environment during all lessons. Monitor participant behavior, adjust activities as needed, and communicate progress and assessments to participants and their parents/guardians, • Prepare, inspect, and safely store all instructional equipment before and after each lesson to ensure readiness and proper use, • Accurately record attendance, participant progress reports, and any incidents in accordance with program procedures and timelines, • Assist in planning and executing special aquatic events, such as swim meets, safety demonstrations, and community outreach programs, • Encourage continued participation in aquatic programming by providing guidance in lesson progression and upcoming opportunities, • Monitor pool deck and water conditions, correcting or reporting any safety or maintenance concerns to appropriate staff promptly, • Mentorship: Provide guidance and support to all Swim Instructors, fostering skill development and confidence, • Assist in expanding, developing and executing new aquatic classes and programs, • Attempt to resolve any concerns, issues or skill level discrepancies within the same class period, or make plans to follow up with student/parent and Instructor, as appropriate, • Report concerns to Coordinator or Supervisor in an appropriate amount of time so that concerns beyond the scope of the Head Swim Instructor's position can be addressed, • Monitor session attendance and prepare rosters for each assigned session, • Assign classes to Instructors and assure that they are prepared for each of their classes, • Welcome participants and provide a brief orientation to parents, • Prepare pre-session (5 minute) trainings to help Instructors learn skills or tips for conducting classes, • Observe Instructors and provide regular feedback and coaching to help them improve, • Co-teach with Instructors who need assistance to model class management or skill development, • Work with participants who need occasional one-on-one help that the Instructor is not able to provide QUALIFICATIONS Knowledge of: • The mechanics of the four basic swim strokes: freestyle (front crawl), backstroke (back crawl), breaststroke and butterfly, • The basic understanding of skill progression needed to guide swimmers to achieving proper swim techniques, • Standard safety protocols required to maintain safety in an aquatic setting, • Demonstrate the four basic swim strokes, • Learn and follow structured lesson plans and best practices in swim instruction, • Adapt teaching approaches to the age, experience and abilities of participants to help them meet the course objectives, • Maintain the safety of all assigned students, • Commit to the session dates assigned so that continuity is maintained for students, • Communicate effectively and work cooperatively with Recreation department personnel, volunteers, vendors representatives, school personnel, children, parents, patrons, the general public, and coworkers, • Follow instructions, respond to requests and follow up with supervisor as needed, • Understand and use a wide variety of resources and information, such as regulations, accident/incident reports, schedules, time sheets, patron complaints, correspondence and general operating manuals, • Act quickly, calmly and appropriately in emergency situations by participating and assisting Lifeguards in the Emergency Action Plan, • Offer feedback to Swim Instructors, students or parents that promotes growth and collaboration Certifications: • American Red Cross Water Safety Instructor (WSI) within 6 months of hire or promotion, • American Red Cross Lifeguarding certification if WSI is not current upon hire/promotion, • Vision (which may be corrected) and hearing must be within normal range to be able to see and hear students who may be in life and/or health and safety endangering situations, • Ability to communicate clearly with aquatic patrons, students or parents in-person, via phone, or email, • Ability to use a computer, phone system, copier, and other standard office equipment, • Capable of sitting or standing for extended periods; occasional lifting of up to 25 pounds, • Able to respond quickly and appropriately during emergencies or urgent situations, • Ability to work outdoors, including participation in required aquatic staff in-service in and out of the water for extended periods, exposed to sun, water, and varying weather conditions, • Ability to dress in Swim Instructor uniform and dress code throughout scheduled shifts, • Ability to work indoors in an office setting with frequent transitions to the pool deck area • Exposure to noise, humidity, and chlorine-related odors, • Must be comfortable working in a shared space with high public interaction Successful candidates must pass a Department of Justice live fingerprint scan, background reference checks, and a Tuberculosis screening prior to start of employment.

Job DescriptionABOUT BRIGHTSEEDBrightseed®, the bioactives company, is a World Economic Global Innovator that illuminates nature to restore human health. Brightseed’s proprietary AI, Forager®, accelerates bioactive discovery, biological validation, and ingredient formulation from years to months, rapidly revealing new connections between nature and humanity. Brightseed supports customers across sectors with Forager’s AI insights that guide their product innovation. Brightseed also produces clinically proven bioactives to power proactive health worldwide. Learn more at brightseedbio.com. ABOUT BIOACTIVESBioactives are compounds found in plants, fungi, and bacteria that benefit human health. They are an important part of a nutrient dense diet, and their health impact often goes beyond basic nutrition into disease prevention. Some bioactives are only accessible through complex interactions within the gut microbiome. Science has long known that bioactives are critical to human health, yet the vast majority remain unknown and are often referred to as the “dark matter” of nutrition. We built Forager to uncover them. TELL US WHAT YOU'RE LOOKING FOR Thank you so much for your interest in Brightseed! If we do not have a position currently open, which aligns with your career goals, we'd still like to hear from you as we are a growing start-up and always building a pipeline of qualified candidates. Please send us a note, along with your resume, so we may learn more about you should an opportunity surface. We are very proactive with searching our applicant database and welcome your application. THE BENEFITS YOU’LL ENJOYAs a lab based company, where in person collaboration is key to drive innovation, we encourage all team members to be in our office most days each week. However we appreciate and honor the need and desire for flexibility and have implemented a hybrid working model for some positions which will be outlined on the job description. Our property provides a professional gym onsite, plenty of free parking, weekly tenant events and a state-of-the-art lab and office. We offer a competitive total rewards package with team-first benefits programs for full-time employees, including medical, dental and vision coverage, unlimited paid time off, life insurance, employee assistance programs, 401(k) plan, a mental health platform, employee discounts, payroll credits for cell phone and commuter costs and a paid parental leave program. JOIN US, AND BE YOUWe are committed to making transformative discoveries with a team-first mentality. Successful team members are truth-seeking and trusting, with the tenacity required to trail-blaze in uncharted territory. We are a collaborative team that actively seeks input and values differing perspectives. And we produce tangible results, holding ourselves accountable in the process. We are also committed to cultivating and preserving a culture of connectedness and inclusion. We grow and learn together, respecting professional and personal experiences, areas of expertise, and types of self expression. In recruiting for our team, we welcome the unique contributions that each one of us brings in terms of education, opinions, culture, color, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran’s status, religion, different abilities, sexual orientation and beliefs. 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 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.