Applied engineering jobs in Newark, New Jersey - Page 3Create job alerts

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. In case you hadn’t noticed, Anthropic is growing fast. Really, really fast. The People Products team exists to support Anthropic’s mission by defining the blueprint for AI at work. We help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic’s culture through the tools we build. We cover the entire employee lifecycle from hiring to onboarding, teamwork, and promotions. You’ll work directly with Claude, with access to capabilities no external team has, on problems that are genuinely unsolved. You’ll move fast — prototype to production in days or weeks. We believe in cross-functional thinkers who can reason across product, design, and engineering. You’ll be given high autonomy, own your decisions, and ship constantly. If you’ve experienced the pain of bad people practices and want to be the person who fixes them at the most consequential AI company in the world, this is that job. * Build full-stack end-to-end across the People Products portfolio. * Design and implement AI-native workflows: build tools, evals, prompts, and products. You’ll help define what is possible in applied AI for people processes. * Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers. * Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input. * Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows. * Derive joy from hard work and the act of creation. * Have shipped LLM-native features or applications. * Are experienced enough to build big features independently, and make great architectural decisions along the way. * Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you. * Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure. * Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly. * Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle. * Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better. * Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production. * Background at an AI-native company or in a product-focused 0->1 engineering environment. * Experience with HR tech platforms such as Greenhouse, Workday, or Rippling. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $405,000 USD Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit ___ directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about ___ for using AI in our application process

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. Technical Leadership & Vision • Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals., • Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities., • Core Agent Capabilities Development:, • Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises., • Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas., • Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base., • Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth., • Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team., • Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment., • 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain., • Deep expertise in Generative AI and Large Language Models (LLMs)., • Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale., • Experience with large-scale distributed systems and real-time data processing., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization., • Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms., • Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems., • Experience with vector databases and advanced retrieval techniques., • A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD)., • Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Title: EHS Manager Department: Health and Environmental Safety Reports To: Director, Environmental Health and Safety Position Type: Staff Position Summary: Providing a safe and healthful work environment for NJIT students, faculty, staff, and guests is a core value of the department. Similarly, achieving a high level of compliance with the numerous Environmental Health and Safety (EHS) regulations, guidelines, statutes, and standards is a priority. As the NJIT research portfolio has expanded in recent years, and new faculty hires have implemented more complex research initiatives, the EHS department requires the expertise needed to help facilitate safe and compliant research on the NJIT campus. Reporting to the Director, the Environmental Health and Safety Manager will develop, implement, and administer those EHS programs required to assure occupational safety, life safety, and environmental compliance across the spectrum of NJIT operations. Primary responsibilities include fostering a "culture of safety" across all operational disciplines of NJIT and among NJIT students, faculty, and staff. The incumbent will be principally responsible for providing a wide variety of EHS services; overseeing routine and non-routine EHS projects, investigations, and inspections; maintaining accurate recordkeeping; generating professional EHS reports; liaising with the EHS regulatory community; and providing follow up documentation to all levels of the NJIT community. Essential Functions: Program Development and Implementation: Review relevant regulations and guidelines as well as currently implemented programs to develop and implement improved, up-to-date, and compliant programs in various areas of environmental health, occupational safety, and life safety. Examples of program areas include, but are not limited to, respiratory protection, hearing conservation, electrical safety, indoor air quality, confined space, and asbestos management. Manage EHS Consultants: Oversee and manage EHS consultants including but not limited to Marsh Risk Consulting, Options Environmental, RyCon Solutions, and Proactive Environmental. Oversight to include establishing scope of work, developing consulting agreement and purchase orders, management of individual consulting projects, invoice and budget management, and general project management responsibilities. Review and Approve Purchase Requisitions: approve purchases of chemicals, substances and equipment entered by other departments (campus wide) and provide feedback on regulatory and procedural needs associated with such purchases. Provide timely approval (or rejection) of the purchase requisition and work with the purchaser to assure all requirements are established and met. Controlled Substances: Implementation of US DEA and State of NJ Controlled and Dangerous Substances regulations as applied to academic research operations and laboratory animal experimentation. Waste Disposal: Manages/coordinates the collection, storage and disposal of all waste streams generated from NJIT labs and shops in conformance with US EPA and NJ DEP regulations. Assesses or coordinates assessment of waste storage or staging areas as required by local or state regulations. Trains applicable lab or shop personnel on requirements and communicates mitigation action when warranted. Biological Safety: Assists or manages the university's biological safety program, in conformance with applicable regulatory requirements in NJIT laboratories. Duties may also involve acting as the NJIT Biological Safety Office (BSO) or Assistant BSO and will include (but are not limited to): -Provide technical support and expertise in the administration and maintenance of such programs. -Help develop, implement and manage policies, procedures and programs that promote a safe, responsible, healthy and compliant work environment for all faculty, staff and students. -Offer service, technical support and compliance guidance to the University, act as a liaison with the University and external agencies and is the lead authority on biological risk assessments associated with campus research and teaching laboratories. -Manage and monitor programs, procedures, and policies that assure safety and compliance for Research Committee support (e.g., Institutional Biosafety Committee (IBC), Institutional Animal Care and Use Committee (IACUC) and Animal Users Health and Safety Program (AUHSP) Working Group). -Lead member on the emergency response team for biosafety incident response and emergency planning. -Helps interpret guidance and communication from CDC, USDA, NIH, OSHA, DOH, DEC and other agencies as applicable to biosafety. Laser Safety: Implements the OSHA Technical Manual for LASER safety in NJIT laboratories. Includes training, lab inspections, corrective measures, and consultations with laboratory researchers. Requires the completion of an accredited LASER Safety Officer training program. Hazard Communication and Right-to-Know (RTK): Manages or coordinates university compliance with applicable local, state and federal regulations regarding chemical or hazardous substances use/storage. Ensures the university submits and annual RTK survey as required and works with chemical users to ensure they maintain chemical inventories, SDSs, labeling and store chemicals properly. Provides or coordinates training of all applicable staff and students on campus. Facility Maintenance and Contractor Safety: Administer NJIT's overall safety program as applied to both in-house and external vendors performing facility maintenance activities on the NJIT campus. Responsibilities include the application of applicable OSHA standards, as well as other regulatory statutes and guidelines, to facility maintenance activities on the NJIT campus. Includes training, inspections, attendance at project meetings, follow up with appropriate REDCO managers to facilitate corrective measures. Regulatory Compliance: Various compliance activities related to multiple federal, state, and local regulatory agencies including US EPA, US NRC, NJ PEOSH, NJ DEP, NJ DOH, NJ DCA, and City of Newark. Laboratory Safety: Manages and implements multiple elements of the NJIT laboratory safety program in assigned laboratory facilities including chemical hygiene, particularly hazardous substances, hazard communication, caution signs, right to know, emergency response, and regulated waste disposal. Assist departments, centers and colleges prepare for scheduled inspections and accreditation visits. Laboratory and Shop Inspections: Identify deficiencies in EHS programs and practices through an organized system of inspections, investigations, and associated recordkeeping and follow-up. Inspections to include buildings, research and instructional laboratories, academic and maintenance shops, work areas, mechanical rooms, renovations, chemical substances, safety practices and equipment, fire extinguishers and suppression systems. Inspect all areas of the campus for safety conditions, document and report such conditions using EHS comprehensive inspection checklists. Provide recommendations to correct unsafe conditions and improve safety follow through to ensure that hazardous conditions have been mitigated. Sampling: Collect environmental/industrial hygiene samples in support of EHS investigations and inspections. Calibration and use of multiple direct-read electronic instruments as well as air and bioaerosol sampling devices. Interpretation of sampling results and incorporation of results into EHS reports and summaries. Collection of drinking water samples in support of NJIT's drinking water sampling protocol and posting of sampling results on the EHS website. Work with EHS consultants on environmental sampling protocols as required. Supervision: Provide management and oversight of EHS personnel including student workers and EHS Coordinators for specific projects and general EHS duties. Supervision of future EHS employees as program needs develop such as future EHS technician(s). Industrial Safety: Manages and implements the NJIT industrial safety programs in non-lab environments including Makerspace, Facility Services shops, and other large-format facilities. In additional to traditional industrial applications, LASER cutting, metallic deposition, additive manufacturing, and other emerging industrial techniques are overseen. Confined Space: Maintains listing of NJIT confined spaces and provides training and oversight to NJIT and outside vendors regarding permit-required confined spaces. Coordinates with outside risk management consulting firm. EHS Training: Co-manage with EHS colleagues the development and implementation of EHS training programs for a variety of programmatic areas. Ability to pivot to on-line training if required. Develop new and compliant training material as required. Deliver monthly EHS training to the campus community in both on-line and in-person formats. Maintain up-to-date training schedule on the EHS website. Maintain up-to-date training records on the EHS shared drives. Respond to queries from the campus community regarding upcoming trainings, training schedules, and training records. Laboratory Engineering Controls: Co-manage with EHS colleagues the administration of testing, monitoring, and inspection/repair of chemical fumes hoods installed in NJIT laboratories in conformance with ASHRAE guidelines. Supervises and oversees measurement and testing data collected by NJIT student workers and coordinates required repair, re-balance, and re-testing with NJIT Facility Services, Design and Construction, and outside mechanical vendors. Responsible for instrumentation including maintaining calibration and quality assurance. Toxic Substances (TXS) and Hazardous Air Pollutants (HAPs): Co-manage with EHS colleagues the maintenance of distribution logs and use calculations for 13 toxic substances (TXS) and approximately 200 hazardous air pollutants (HAPs) maintained in NJIT laboratories and utilized in NJIT laboratory fume hoods requiring calculations to determine potential evaporation rates as related to NJIT's air pollution control requirements. Manage Signature Programs: Manage all aspects of NJIT's radiation safety program, radioactive waste disposal program, confined space program, controlled substance program, LASER safety program, and shop safety program. In addition to programmatic/technical responsibilities, duties to also include obtaining consultant/vendor proposals, executing NJIT Professional Services Consulting Agreement, establishing purchase orders in Uni-market, managing vendor invoicing, and project management and budgeting. Campus Communication: Meet with various members of the campus community (including students, staff, faculty, and administration) to discuss a wide variety of EHS issues. Departmental and NJIT Committee Meetings: attend and represent EHS at a variety of forums including university committees and councils. Generate original content for EHS website and other outlets highlighting EHS programs and services available to the university community. Maintain up-to-date EHS information on departmental website including training schedules, sampling results, program and procedural information. NJIT EHS Website: Work to help continually improve EHS website with updated content and information. Professional Development: Maintain membership and participate in professional organizations and associations related to EHS responsibilities. Network with EHS professionals at comparable institutions and organizations. Leverage relationships and knowledge gained to further NJIT's EHS goals and objectives. General EHS Responsibilities: In addition to the specific programmatic responsibilities previously described, general oversight, inspection, and auditing of university operations in terms of chemical hygiene, indoor air quality, lab and shop safety, accident and injury prevention, emergency response, occupational safety, and construction safety including required sampling, record keeping, report writing, data management, and required follow up. Campus-Wide Responsibilities: In addition to the general and specific programmatic responsibilities previously described, the EHS Manager position includes the implementation of environmental and occupational health and safety programs throughout all aspects of NJIT's academic and operational enterprise. Additional Functions: -Demonstrate initiative, independence, and sound decision making in support of EHS and Facilities Operations or NJIT goals and objectives. -Ability to work independently under general direction and complete projects in a timely manner. -Maintain contact with vendors and consultants, maintain records related to departmental expenditures to support EHS budget management especially in signature program areas. -Pursue advanced training in support of EHS and REDCO goals and objectives leading to certification in one or more program areas. -Supervise student workers, EHS Coordinator(s), and/or EHS Technician(s). -Be available for occasional off-hour planned or emergency response activities, training, or other activities, as required. -Working knowledge of multiple EHS disciplines. Ability to fill in for other EHS group members as required. -Other duties as assigned. Prerequisite Qualifications: -Requires a bachelor's degree in a physical, chemical, engineering, or life science. -Six (6) years of experience in environmental and/or occupational health and safety. -OSHA 40-hour HAZWOPER/DOT certification and refresher training required. -Knowledge in administering occupational health programs and emergency management required. -Knowledge of US EPA, NJ DEP and NJ PEOSH regulations required. -Must be able to lift 50 pounds. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -Master's degree in physical, chemical, engineering, or life science preferred. -Bio-Safety experience, training or credentials. -Air Permitting experience, training or credentials. Bargaining Unit: PSA Range/Band: 23 Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated annual salary range for this position is $63,754.42-$119,012.58 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Apply NowShare Save Job

Title: Professor and Director of the School of Applied Engineering and Technology (SAET) Department: School of Applied Engr & Tech Reports To: Dean, Newark College of Engineering (NCE) Position Type: Faculty Position Summary: NJIT invites applications and nominations for the position of Director of the School of Applied Engineering and Technology (SAET). This is a Professor-level appointment for a candidate with a strong record in engineering education, academic leadership, and academic program development. The Director will position SAET as a leader in engineering education, and guide SAET's continued growth in applied engineering, workforce readiness, and innovation. The successful candidate will lead efforts to expand SAET's graduate programs, with a focus on applied, interdisciplinary, and engineering education research, and raise SAET's national profile in engineering technology, and engineering education and pedagogy. Essential Functions: We are seeking candidates suitable for the rank of Full Professor with a demonstrated record of outstanding leadership and mentorship. They should have interest and understanding of engineering education and the evolving market need for engineers and technologists. The director will be expected to build upon SAET's recognized strengths, recruit outstanding faculty, promote scholarly initiatives, facilitate internal and external research collaborations, maintain and further develop already strong relationships with industry, and oversee curriculum development. The person is expected to work effectively in a collaborative, interdisciplinary environment both within the school and college, and across the broader campus to: -Provide strategic leadership to advance SAET's academic and research missions. -Position SAET as a leader in engineering education. -Strengthen partnerships with industry, government, and educational institutions. -Expand SAET's graduate programs in applied and interdisciplinary research. -Raise SAET's visibility in national forums for engineering education and pedagogy. -Facilitate a research environment in the school with active collaborations with academia, industry, and government agencies. -Foster excellence in teaching, curriculum development, and scholarly activity. -Lead accreditation efforts and ensure continuous program recognition and improvement. -Promote and support continued professional growth of faculty and staff and oversee recruitment of outstanding faculty and retention of faculty, staff, and students. -Represent SAET to the university administration, other university units, industry, and to public and private agencies at the local, regional, national, and international levels. Focus Areas in Engineering Education: Candidates should be familiar with a substantial subset of current and emerging research areas, such as: -AI-enhanced learning environments (e.g., intelligent tutoring systems, adaptive platforms). -Engineering epistemologies and student learning outcomes. -Project-based and experiential learning models. -Assessment and analytics for student success. -Ethics and human-centered design in engineering education. -Technology-enhanced curriculum development. Prerequisite Qualifications: Candidates should be able to demonstrate: -Record of scholarly achievement and leadership sufficient for appointment as a tenured Full Professor. This qualification normally requires a Ph.D. degree from a recognized institution and a body of scholarly work in a field within STEM, preferably an engineering discipline. -Demonstrated expertise and track record in engineering education and its application in higher education. -Proven ability to secure external funding for academic projects, and lead teams of researchers in their successful implementation. -Significant experience and commitment for teaching, which include: -Familiarity with curriculum innovation and technology-enhanced learning environments. -Experience with program accreditation and course-level assessment. -Excellent communication, organizational, and interpersonal skills. -Ability to work effectively with faculty, staff, students, and administrators. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -Industry experience, either as a practitioner or consultant. -A professional license (such as P.E. in an engineering discipline). -Experience with experiential learning programs and workforce development. Bargaining Unit: PSA Salary Information: In compliance with the NJ Pay Transparency Law, the salary range for this position is $120,000.00-$175,000.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Special Instructions to Applicants: Interested candidates should submit: -Cover letter expressing interest in the position and highlighting key qualifications. -Curriculum vitae. -Statement of research and teaching philosophy. -Contact information of three references. -Apply online at: . -Review of applications will begin immediately and continue until the position is filled. -Questions may be directed to the Dean of the Newark College of Engineering, Dr. Moshe Kam at . Apply NowShare Save Job

Job Description Hi, we're Oscar. We're hiring a Senior Product Manager, Authorization Services to join our Product team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: Oscar is looking for a Senior Product Manager to help transform how healthcare authorizations work—one of the most complex, costly, and frustrating parts of the payer ecosystem. Today, prior authorization creates friction across the system: members face delays in care, providers navigate administrative burden, and payers incur significant operational cost. Our mission is to fundamentally redesign this experience. You will be part of the Authorization Services team, which is rethinking utilization management from a reactive approval process into a proactive, intelligent system that guides members to the right care—while minimizing or eliminating the need for manual authorization altogether. This is a high-impact, high-visibility role at the center of Oscar's next phase of innovation—and one of the highest-leverage opportunities at Oscar to apply AI to core healthcare workflows. You'll build and scale decisioning systems (e.g., auto-approvals, intelligent routing, proactive guidance) that improve member and provider experience and drive meaningful cost efficiency. For PMs looking to develop as AI-first product leaders, this is a unique opportunity to work on high-stakes applications of AI in healthcare. You will report into a Staff Product Manager. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $163,944.00 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses. Responsibilities: • Develop product strategy: Define the vision and roadmap for Authorization Services, identifying opportunities to improve member experience, reduce provider burden, and drive payer efficiency., • Lead discovery: Partner with Operations, Clinical, and Provider teams to deeply understand user needs, identify high-impact problems, and validate solutions., • Execute development: Work closely with Engineering, Design, and Data Science to build and launch high-quality, scalable products, including AI-driven decisioning systems., • Drive cross-functional collaboration: Collaborate with Operations, Legal, Compliance, and external partners to ensure solutions are operationally viable, compliant, and effectively delivered., • Measure and iterate: Define success metrics (e.g., auto-approval rate, turnaround time, operational efficiency), generate insights with Data partners, and continuously refine the product strategy., • Shape the future of the platform: Contribute to how AI and decisioning systems are applied across Oscar's core insurance workflows., • Compliance with all applicable laws and regulations., • 6+ years of experience collaborating cross-functionally among engineers, designers, operations experts, and others in a Product Management or Product Management-adjacent role., • 4+ years of experience in driving rigorous prioritization processes., • 4+ years of experience with tech systems and understanding basic technology infrastructure such as backend services, database relationships, and leveraging database tools such as SQL., • 2+ years of experience leading complex, cross-domain initiatives., • 2+ years of experience root-causing ambiguous problems, building roadmaps towards a solution, and successfully executing against that roadmap., • Compliance with all applicable laws and regulations., • Other duties as assigned. Bonus points: • Technical background or experience working on complex, technical systems., • Experience in healthcare, particularly payer or provider workflows., • Experience building or scaling AI/ML-driven products. This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders.What You'll Do • Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment, • Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks, • Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution, • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication, • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations, • Proactively identify risks, issues and provide mitigation strategies, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • Eagerness to help build and lead a best-in-class data practice, • 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment, • Experience with project planning, including tasks, budgeting, resource allocation and balancing, • 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar, • Experience designing and building relational database and/or data warehouses, • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc Preferred Additional Experience, • A solid understanding of key BI trends and the BI vendor landscape, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Cloud computing experience, whether with AWS or other vendors, • Ability to understand/design small-to-medium size data architectures, • Ability to automate data-related tasks using scripts and programming languages, • Ability to profile, explore, and analyze data to identify common data patterns, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytical fields

Job DescriptionThe Role We're looking for a talented, hungry, and technically excellent Application Engineer to join our team. In this role you will dream up, build, and ship LM Studio features to millions of users worldwide, at a fast clip. You will be intermixing UI work with systems engineering, design, and applied AI / agentic engineering work. You may be a good fit if you love building software products, have an innate talent for crafting product experiences, and you approach technical problems with a scientific method mindset. Holistic understanding of software systems and the ability to work across the stack is a must. Experience building desktop applications is a big plus, but not required. This role is in-person in our New York City office. Relocation assistance is possible. In your application, please share technical details about your expertise and things that you've built. Relevant experience: React, TypeScript, Electron, Swift, Objective-C, C++. LM Studio We aim to build delightful and potent creation tools for AI. We are a small team based in New York. Everyone on the team is IC-minded, intellectually curious, self-motivated, and loves software. We care deeply about our user community and we strive to build canonical software that users and developers love. Our Interview Process We are looking for engineering excellence and strong values / cultural fit. If your application appears to be a good match we'll reach out to schedule an initial call. If all goes well, we will proceed to 2-3 technical interviews. The final step in the process is an onsite interview in our New York office, where you will work through several more technical sessions focused around system design and architecture, meet the team and see how we work. Compensation Range: $175K - $275K

Job DescriptionThe Role We're looking for a talented, hungry, and technically excellent Senior Software Engineer, Agents to join our team. In this role you will dream up, build, and ship LM Studio features to millions of users worldwide, at a fast clip. You will be intermixing UI work with systems engineering, design, and applied AI / agentic engineering work. You may be a good fit if you love building software products, have an innate talent for crafting product experiences, and you approach technical problems with a scientific method mindset. Holistic understanding of software systems and the ability to work across the stack is a must. Experience building desktop applications is a big plus, but not required. This role is in-person in our New York City office. Relocation assistance is possible. In your application, please share technical details about your expertise and things that you've built. Relevant experience: React, TypeScript, Electron, Swift, Objective-C, C++. LM Studio We aim to build delightful and potent creation tools for AI. We are a small team based in New York. Everyone on the team is IC-minded, intellectually curious, self-motivated, and loves software. We care deeply about our user community and we strive to build canonical software that users and developers love. Our Interview Process We are looking for engineering excellence and strong values / cultural fit. If your application appears to be a good match we'll reach out to schedule an initial call. If all goes well, we will proceed to 2-3 technical interviews. The final step in the process is an onsite interview in our New York office, where you will work through several more technical sessions focused around system design and architecture, meet the team and see how we work. Compensation Range: $175K - $275K

Job Description At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Role You'll Play: • At Playlist, we're reimagining how technology can foster meaningful, real-world connections. As a Senior Software Engineer on the SmartDesk team, you'll be at the forefront of building an AI-powered front desk assistant that transforms how wellness businesses communicate and operate., • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to marketYou'll drive innovation by:, • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to market The Experience You'll Bring:, • 2-3 years of Senior-level experience building full-stack features for SaaS products, • Proven track record of developing user-facing web applications and supporting APIs, • Expertise in designing and shipping AI-powered features in production environments, • Strong experience with distributed systems, third-party integrations, and messaging platforms, • Proficiency in making architectural decisions that balance technical debt, innovation, and business needs, • Deep understanding of engineering fundamentals, including testing, observability, and maintainability, • Exceptional communication skills with the ability to collaborate across multidisciplinary teams, • Comfort navigating ambiguity and rapidly learning emerging technologiesTechnologies You'll Use:, • LLMs and Generative AI Frameworks, • AWS (ECS, SQS, RDS), • Python, • TypeScript / JavaScript The base salary range for this position in the United States is $114,000 to $152,000 USD. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plans. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

Job DescriptionCareer Renew is recruiting for one of its clients a Forward Deployed Research Analyst - this is a hybrid role in NYC. Salary range: 200-250K USD base plus benefits plus equity.We are building the AI platform for hedge funds and asset managers. We deploy software and custom workflows that make funds AI-native — connecting their data, encoding their expertise into agents and skills, and automating their highest-value workflows. The firms that are winning with AI aren't using better models. They have a more thoughtful ecosystem around them, and that's what we build. Unlike most AI startups, we're cash-flow positive and client-funded — our growth comes from the trust of our clients, the value we deliver, and the exceptional caliber of our team. Our team combines engineers from top institutions across finance (Citadel, Goldman Sachs, Millennium, D.E. Shaw, Two Sigma, and Bridgewater) and technology (leading data and AI startups) with forward-deployed specialists who embed directly with clients to automate real workflows. We sit at the intersection of deep finance domain knowledge and cutting-edge AI engineering — closing the gap between what AI can do and what funds are getting out of it. Role Overview We're building a small, elite team of Applied AI Analysts – seasoned finance practitioners from fundamental research, data science, and portfolio and risk management—who will work with our clients to understand their workflows and help them fundamentally transform them with our platform. This is a finance role at the frontier of AI adoption. When a client engages us, they get an AI platform deployed in their cloud – their data, their environment, their governance. Your job is to sit alongside their investment professionals, understand how they work, and build AI workflows within that platform to transform how they operate. You'll also serve as one of the sharpest feedback signals we have – surfacing what's working, what's missing, and what should be built next, and partnering with product and engineering to shape the platform accordingly. Key Responsibilities * Embed with clients and drive AI-led workflow transformation. Work on-site with PMs and research analysts to understand how they work today, identify high leverage opportunities for automation and augmentation, and build production grade AI workflows that transform their processes. * Translate client workflows into skills, agents, and connectors. Partner with our engineering team to convert what you learn on the ground into new data connectors, skills, and agents. You're the bridge between "how investment teams think" and "how the platform is built", and your domain fluency is what makes that translation meaningful and precise. * Contribute to the product feedback loop. Be a daily power user of our platform and bring structured, actionable feedback to our product team for new features. You'll be one of the sharpest signals we have on what's working, what's missing, and what to build next. * Build our knowledge base for your domain. Contribute to our skill and agent library of best-in-class research, risk, operations, data science, and technology best practices. These skills are designed to work collectively as a single knowledge base for AI to connect technology, data, research, risk, and trading into a single platform. You are responsible for building the playbooks that we can deploy and continuously improve across every client relationship. Requirements: 3 - 7 years of experience in a core equity research function at a top tier hedge fund, asset manager, sell side research, RMS vendor platform, or institutional investment fund (Mandatory)Demonstrated track record in a core equity research function such as fundamental research, quantitative research, or data science at a top tier financial institution (Mandatory)Multiple hands-on projects building with AI (e.g., GitHub repository of skills built for research, various side projects, and other demonstrated practical AI interests) (Mandatory)Experience across multiple investment disciplines (e.g., both research and risk, or research and quantitative methods) or client-facing / forward-deployed experience (Nice-to-have)Avid user of AI tools (genuine integration into workflows vs experimentation) and have strong views on what works, what breaks, and where the leverage is (Mandatory)Hands-on experience leveraging financial data vendors (e.g., Bloomberg, Visible Alpha, FactSet, PitchBook, CapIQ, or similar) (Mandatory)Technical proficiency with data APIs or MCP connectors, SQL/Python for data processing, core libraries, and/or agentic AI frameworks (Nice-to-have)Ability to build trust quickly, ask the right questions, and navigate unstructured conversations with senior investors and C-suite execs at top hedge funds (Mandatory)Why you should join us * Career Reinvention Without Starting Over – This role is for research analysts who love the intellectual rigour of fundamental equity research but have grown frustrated with the grind: the long hours, the tedious manual processes, and the limited upward trajectory beyond portfolio management. We let you leverage everything you have built across your research career while shedding the parts that make the job unsustainable. You are not pivoting away from finance – you are redefining what finance work looks like in the AI era. * Skip the AI Adoption Lag – Most hedge funds are still years away from meaningfully integrating AI into their core investment workflows. If you believe AI will transform how research gets done and are tired of waiting for your firm to catch up, we put you at the frontier of that transformation today. You will not be experimenting on the side or lobbying for internal adoption – building and deploying AI-powered research workflows is the job. * Genuine Ownership and Direct Access to Decision-Makers – With a lean team and no layers of bureaucracy, individuals at all levels are trusted to drive decisions and outcomes – with scope meaningfully broader than at larger or more structured organisations. That same flatness extends to the client side: you are working on-site directly alongside heads of research and C-suite executives at some of the most sophisticated hedge funds in the world. That level of visibility is extremely difficult to access from a traditional analyst seat, and it compounds over time. * Ground-Floor Team With Real Momentum – We are building this forward-deployed analyst function from scratch and looking to scale from one or two people to five as quickly as possible. Joining now means you are not slotting into an established team with rigid processes – you are helping define the playbook for how AI adoption gets delivered to institutional investors. * Bootstrapped, Post-PMF, and Built to Last – We've reached $10M+ ARR with a lean team and no external funding – a strong signal of genuine product-market fit built on real revenue, not VC runway. There are no externally imposed milestones or investor pressure dictating the roadmap. For candidates who want to join at the most exciting inflection point – where the product has proven itself but the scaling is still ahead – this is a rare opportunity to have outsized impact and grow alongside the business as it enters its next phase. * R&D Culture Within a Commercial Business – The company operates like a hybrid between a SaaS startup and an R&D team – constantly evaluating new developments in AI and accommodating the roadmap accordingly. Engineers are not just building towards a fixed vision; they are actively contributing to how that vision evolves. The culture values curiosity, craft, and elegant solutions to genuinely hard problems. * Calibre of the Team – The engineering team brings experience from some of the most demanding institutions in finance and technology – Citadel, Goldman Sachs, Millennium, and D.E. Shaw. For candidates who care about the quality of the people they work alongside and who they can learn from, this is a meaningful signal.

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences., • Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers., • Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance., • Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization., • Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models., • Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency., • A strong track record in either:, • Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or, • Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact., • Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar., • A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions., • Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)., • Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them., • Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows., • A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We’re SeekingQvest US is seeking an experienced Senior Consultant in Applied AI & Change Management to join our growing Applied AI practice. In this role, you will help lead several technology and business consulting projects ranging from the implementation of Applied AI technology solutions, to the formulation of organizational and process strategy, to PMO establishment. We are looking for an organized and ambitious team member who will excel in a fast-paced environment.What You'll Do • Help guide project teams through all core project phases of Applied AI implementation, including project setup, requirements gathering, design, development, testing and deployment., • Conduct initial reviews of deliverables and give feedback., • Proactively identify risks and issues, and provide mitigation strategies., • Lead various client meetings such as stakeholder interviews and client workshops., • Build and maintain strong client relationships., • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement.What You'll Bring, • 3-5+ years Systems Integration, Implementation, SDLC, Project Management experience, • Experience implementing AI/ML/Applied AI systems, • 3+ years in consulting / professional services, big firm experience preferred, • 1+ years of experience with organizational change management (OCM), including creating strategies to shepherd an organization and stakeholders through a large-scale change, • Consistent exposure to end-to-end SDLC (requirements analysis, design, development management, testing and delivery), • Trained on process and/or technology methodologies (e.g. Lean Process Improvement, Six Sigma, Agile implementation, Waterfall model), • Experience working with a project team on at least 2 package or custom solution implementation projects, • Experience with presentation and spreadsheet tools such as PowerPoint, Visio, and Excel, • Bachelor's degree in engineering, information systems, computer science, business administration, or other related fieldsPreferred Experience, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)Travel RequirementsEmployees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. Remote & Hybrid WorkWhile remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. Life at QvestWe were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Job DescriptionWhy Join AngelList We’re solving some of the hardest problems in venture capital and private markets. You’ll work with a team that values precision, urgency, and long-term thinking. If you want to shape how startups are funded and built, this is the place. About AngelList We exist to accelerate innovation by increasing the number of successful startups in the world. We do this by building the financial infrastructure that makes it easier for more people to invest in world-changing companies. AngelList is the nexus of venture capital and the startup community. We support $171B+ in assets and have powered investments into over 13,000 startups—over 300 of which are unicorns. Today, 57% of top-tier U.S. VC deals involve investors on AngelList. While our scale is large, our ambition is larger. If you're excited to build the future of private markets, come build with us. About the Role:$15.4 billion. 20,000 startups. That's the capital our platform has put to work — and every dollar of it runs through the Accounting team’s infrastructure. We’re the engine that keeps our entire financial platform clean, accurate, and battle-tested. This isn't a maintenance role. It's a builder role — one where AI-first thinking, financial rigor, and technical leadership converge to reshape how venture capital actually moves. This is a founding Staff Engineer opportunity. You will work closely with engineering leadership and cross-functional partners to drive technical excellence across teams. You’ll shape the architecture, define the standards, and push the platform toward a first-principles accounting system designed for self-serve configurability.You will have the opportunity to: • Transform our home-grown accounting system into a foundational primitive, defining the interfaces that other teams consume., • Define scalable accounting infrastructure, owning architectural decisions end to end and ensuring execution follow-through across the company., • Apply AI to address the long-tail of data integrity challenges; create reusable patterns for reconciling increasingly complex money movement., • Partner with engineering leadership to shape roadmaps, surface technical risk early, and ensure we are building the right things the right way.You most likely:, • Have operated at staff level or equivalent. You are highly autonomous, have had impact beyond your immediate team, and have a track record of architectural decisions that held up as systems scaled., • Have demonstrated a multiplier effect on engineering teams. You’ve been the person who defined the patterns a team reached for—and the team was measurably better for it., • Are comfortable in high-stakes, domain-rich systems. You may not know fund accounting today, but you’ve built systems where correctness is non-negotiable—financial, healthcare, infrastructure, or similar. You build deep domain expertise quickly by working closely with subject-matter experts., • Have a deep love of startups, having worked at one (or potentially started one). The domain is part of the job., • Have strong hands-on coding ability. You write production code regularly, review others’ work rigorously, and have no interest in becoming a purely advisory engineer. AngelList has offices in a few cities, New York City and San Francisco. We have a hybrid in-office model: teammates come in at least 2 days per week (Tuesdays and either Wednesday or Thursday). Compensation: The compensation for this role consists of a competitive base salary, benefits, and equity package. The base salary for this role is $240,000+ annually but actual will vary based on a number of factors including a candidate’s professional background, experience, and location. Full details about our Total Rewards package will be provided during the recruitment process. Benefits: We support your life both in and outside of work. Explore our benefits Learn about Funders & Founders What Guides Us: At AngelList, we are united in our purpose to accelerate innovation and build the future of private markets. Our beliefs and values shape what we work on and how we create impact. If the below resonate, we'd love to have you with us. Our beliefs Our values & leadership expectations AngelList is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 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 Director of Data Platform & Engineering Information Technology POSTED: 5/14/2026 ABOUT CJA The New York City Criminal Justice Agency (CJA) is a not-for-profit service and research organization that operates in partnership with the New York City Mayor's Office of Criminal Justice. CJA is the City's main pretrial services agency, combining operations, pilot projects, and research under one roof. CJA utilizes procedural justice practices to provide pretrial services to over 100,000 arrested annually in New York City. Information collected about these arrestees and subsequent case processing is maintained in the agency's internal and externally shared database systems, which are used to conduct descriptive and evaluation research on arrestee characteristics, case processing and court outcomes, and on issues and potential reforms to criminal justice policy in New York City. CJA's programs operate in the criminal courts and detention facilities 24 hours a day seven days a week within the 5 boroughs of NYC, employing over 300 employees, citywide. DEPARTMENT SUMMARY NYCJA's Information Technology team provides strategic vision, leadership, and innovative solutions so that CJA's internal and external stakeholders have the trusted data and applications they need to deliver high-quality IT solutions to support pretrial services and research. Our data platform powers operational decision-making that impacts individuals, programs, and city-wide strategy. Our systems and platform powers daily operations, and we are expanding our capabilities into a scalable cloud environment to support real-time data needs and long-term analytics and research. The Data Platform and Engineering Team designs, delivers and sustains operation of a secure, scalable and high-performing enterprise data ecosystem supporting mission-critical operations, analytics and strategic decision-making. Position Summary This position serves as the senior technical authority and program leader for enterprise data platform architecture, engineering and governance within NYCJA. Reporting to the IT Executive Director, this position plays a pivotal role in shaping data platform adoption and in driving data insights and innovation. Primary Responsibilities (Major Duties) • Lead the design, delivery, and operation of CJA's enterprise Data Platform (Data Hub) (Azure Gov stack, pipelines, storage, analytics, and access layers), including architecture, reliability, security, and cost management supporting mission-critical, real-time and analytical workloads, • Ensure secure, reliable and scalable data solutions that support operations, programs and strategic decision making, • Define and enforce data architecture, engineering standards, and governance (quality, lineage, access, stewardship), • Develop and oversee platform delivery strategy and execution across multiple workstreams, balancing operational stability, modernization and stakeholder needs, • Build, lead and develop the Data Platform Engineering team, including hiring, mentoring, with full accountability for delivery, platform health, standards, and stakeholder outcomes, • Partner with executive leadership and stakeholders to translate business needs into data platform solutions, • Advocate for platform health, investment, and long-term direction We are seeking a hands-on technical leader with deep experience building and operating enterprise data platforms in regulated, mission-critical environments. This role is responsible for leading and growing the Data Platform & Engineering team, with full accountability for delivery, platform health, technical standards, and stakeholder outcomes. The ideal candidate brings proven experience owning data platforms at scale, spanning architecture, data engineering, and operations. A strong background in Azure data services such as Data Factory, ADLS, and Synapse or equivalent cloud platforms is essential, along with experience working with real-time and operational data systems, not just batch analytics. Success in this role requires a deep understanding of data governance, including data quality, lineage, and access control, particularly within regulated environments such as CJIS or similar frameworks. The candidate must be able to lead and scale high-performing technical teams, driving accountability and consistent delivery while fostering a culture of ownership and continuous improvement. This position also demands strong stakeholder management skills, with the ability to translate complex business needs into practical, scalable solutions. The role operates across platform, application, and analytics boundaries, requiring close collaboration with Software Engineering teams and business stakeholders. The right candidate is equally comfortable setting strategic direction and executing against it, balancing long-term platform evolution with immediate operational demands in a complex and evolving environment Minimum Qualifications* • Ten (10) years of progressively responsible specialized experience., • Three (3) years of experience in senior-level leadership roles with broad operational responsibilities, • Applied knowledge of CJIS-like governance, Data Factory, Synapse, ADLS or equivalent platforms, Power BI or equivalent tools, APIs and AI-enabled workloads. Salary: $185k- $235K + comprehensive benefits BENEFITS: CJA offers a very generous benefit plan including health, dental and vision insurance, a comprehensive mental health, and wellness, Employee Assistance Program (EAP) plan, four weeks' vacation, paid holidays, and a retirement plan with employer matching contributions. CJA is also strongly committed to professional learning and development for its staff members and offers staff varied opportunities for learning and development through partnerships and vendor services for web based, in-person professional development training, as well as in-house job training and development. HYBRID WORKSCHEDULE: M-F 9AM-5PM (T-Thurs in office/ Mon & Fri remote) CJA VALUES Each employee at CJA is guided by these values in our work: • Commitment: We are active partners in criminal justice reform., • Fairness: We are guided by fairness and the presumption of innocence for those who are detained and work with integrity and without bias to protect the privacy and interest of court-involved people and their families. CJA is committed to creating a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate based on race, color, national origin, sex, gender identity, religion, sexual orientation, age, disability, parental status, veteran status, or any other protected status under applicable laws. We encourage individuals of all backgrounds to apply. CJA is seeking applicants who pursue professional development pathways by participating in educational opportunities, reading professional publications, maintaining professional networks, and engaging with professional associations *Note: Only those candidates being considered will be contacted.

Job DescriptionWhat We Offer: Our excellent salary and benefits package includes medical, dental, vision, life insurance, short and long-term disability coverage, education reimbursement, 401(k), performance bonuses, and an employee stock program. Employee Resource Groups and Programs offered include the Young Professionals Group, Women at Wade Trim, Diversity, Equity and Inclusion, Professional Development, Leadership Development, Rotation Program, Mentor Program, Sustainability Program, and Wellness Program. Position Description: We are Looking for a Water Resources Engineer to join our team in New York, NY, supporting wet weather infrastructure projects such as stormwater, drainage, and collection systems. Candidates should hold a bachelor’s degree in civil or environmental engineering and be a licensed Professional Engineer (PE) or able to obtain licensure within six months (if out of state). The ideal candidate will have at least five years of experience, strong hydrologic and hydraulic modeling skills, and experience with CSO/SSO programs. Excellent technical writing, communication, and collaboration skills are required.Typical responsibilities include: • Provide technical planning, design and construction support on various wet weather projects that may include combined sewer overflow, collection system, pump station, stormwater, hydrologic and hydraulic models, and/or other projects, • Prepare engineering calculations and supporting analysis of alternatives, • Prepare and evaluate wet weather control alternatives, • Develop and complete applications, permits, engineering reports and specifications, • Prepare and review engineer estimates, • Prepare design cost estimates, • Conduct research and development for projects, • Monitor task budget and progress, • Prepare project status and other reports, • Communicate project details with other design engineers, • Conduct project cost reviews, • Promote sales, • Prepare and review scope, budget, and schedule for project tasks, • Assist with proposals, marketing, project reports, and technical presentations, • Conduct on-site inspections as needed, • Attend and/or conduct client and project meetings, • Attend various meetings including pre-design, plan review, pre-construction, professional organization, staff, etc., • Attend seminars and/or training classes, • Maintain excellent client relations, • Maintain a safe working environmentEducation:, • Bachelor's degree in Civil or Environmental EngineeringSkills/Experience:, • Strong background in stormwater, drainage, and collection systems design, • Experience with wet weather programs (CSO/SSO, LTCPs, consent decree work), • Proficiency in hydraulic/hydrologic modeling tools (SWMM, InfoWorks, SewerGEMS, etc.), • Understanding of green infrastructure design and climate resiliency, • Familiarity with NYC DEP and DDC standards (preferred)-Licensed Professional Engineer (PE) required (or ability to obtain within 6 months if out-of-state), • Strong technical writing and communication skills, • Ability to manage multiple tasks and coordinate across teams, • Real-time control (RTC) or smart sewer systems

Job Description Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the opportunity to work on cutting-edge research in new and emerging fields. Responsibilities: • Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being addressed., • Implement, train, and validate proposed algorithms for specific problem domains., • Contribute to the integration of algorithms within larger programmatic systems that require these capabilities., • Collaborate with others in a multidisciplinary team environment to accomplish research goals., • Pursue both independent and collaborative research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory., • Publish research results in peer-reviewed scientific journals and present results at conferences, seminars, and meetings., • PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning techniques., • Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods)., • Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++., • Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe., • Proven ability to undertake original research and communicate findings in peer-reviewed publications., • Experience working with a multidisciplinary team of scientists, engineers, and project managers to develop and apply these capabilities to inform engineering decisions. We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job Description Job Title: Solutions Sales Engineer Location: Hoboken, NJ or Remote with Travel Division: Revenue Department: Customer Success About Us: Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company’s portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Position Description: The Senior Solutions Sales Engineer is a high‐impact, customer‐facing role responsible for driving both technical adoption and revenue growth. This role blends solutions engineering, sales engineering, product expertise, Python prototyping, and hands‐on deployments for QCi’s quantum and quantum‐inspired computing platforms. You will support the full customer lifecycle: pre‐sales discovery, demos, proof‐of‐concepts, deployment, onboarding, troubleshooting, and long‐term adoption. You should be equally comfortable designing technical solutions, presenting to customers, and rolling up your sleeves during on‐site installs for multi‐day engagements. Ideal for someone who thrives in emerging technology, enjoys field work and collaboration, and can translate complex quantum concepts into practical business value. Duties and Responsibilities: • Serve as the primary customer‐facing technical lead, handling discovery, demos, support, and ongoing guidance., • Review, triage, and route support tickets while maintaining clear communication with customers and internal teams., • Develop Python‐based proofs‐of‐concept to validate use cases and demonstrate platform capabilities., • Lead on‐site deployments, integrations, and user onboarding (including multi‐day customer visits)., • Translate quantum and reservoir computing concepts into practical business value for diverse audiences., • Support the sales cycle through technical discovery, demos, solution design, and proposal inputs., • Represent QCi at conferences and events by delivering live demos and engaging prospects., • Capture customer feedback and insights to inform product improvements, documentation, and internal workflows., • Collaborate cross‐functionally with Sales, Engineering, Product, Data Science, and Marketing to deliver tailored solutions and aligned customer experiences. Required Skills and Experience: • Bachelor’s degree in Computer Science, Engineering, Physics, Applied Mathematics, Information Technology, Natural Sciences, or related technical/business field., • Master’s degree or quantum/AI focus preferred., • 5–8+ years in customer‐facing technical roles (Solutions Engineering, Sales Engineering, Technical Account Management, Customer Success Engineering, Application Engineering)., • Strong track record supporting sales cycles, delivering demos, and enabling technical decision‐making., • Advanced Python proficiency, including scripting, prototyping, data libraries (pandas, numpy), and experience supporting embedded software or internal tools., • Understanding of resource access, system permissions, APIs, and basic architecture principles., • Experience in on‐site deployments, system integrations, hardware/software configuration, and troubleshooting., • Confident public speaker capable of representing QCi at industry events and customer briefings., • Excellent written/verbal communication and the ability to break down complex concepts for any audience., • Strong organization, prioritization, and problem‐solving skills in fast‐moving environments., • Experience with collaboration/support tools such as Jira, Confluence, Salesforce, and ticketing systems., • Willingness to travel 30–50%, including multi‐day onsite customer engagements (3–5 days).

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Science Experts Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices., • Design challenging data science tasks and write accurate, well-structured analytical solutions., • Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor., • Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches. Must-Have • 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Upload resume, • AI interview based on your resume

Job Description KUBERNETES ENGINEER Overview We are hiring a Kubernetes Engineer who writes production-grade software that programmatically engages with Kubernetes, not someone who operates clusters and writes scripts. You will live and breathe Kubernetes, collaborate closely with the team on anything that touches users' Kubernetes clusters, and bring deep technical curiosity to open-source debugging and cluster-level problem solving. If you are more excited about operating Kubernetes than writing software that interacts with it, this role is not for you. If you are excited about both and have a track record of going deep, keep reading. About the Company The company is the cloud platform for modern tech companies. They provide the power of the cloud without the complexity and cost, allowing the next generation of builders to run anything, anywhere. Traditional engineering orgs allocate enormous time and money to managing AWS, Azure, and GCP, and quickly become locked in. The company enables top engineering teams to instantly create production-grade infrastructure on any cloud provider, deploy their application code, and easily monitor and manage it, allowing them to focus on what they do best: building a great product. Series A funded, profitable, growing 8x in ARR since 2022, headquartered in New York with an SF office. Flat team, high ownership, working with some of the most exciting YC-backed companies. Key Responsibilities • Write production-grade software that programmatically engages with Kubernetes, • Manage Kubernetes cluster upgrades end-to-end, • Debug at the node level: shell into virtual machines, dig through log files, and find root causes, • Read through open-source repositories to debug third-party dependencies, • Collaborate with the team on anything that touches users' Kubernetes clusters and provide meaningful feedback, • Work in two-week project cycles with full autonomy to propose and drive your own work, • Talk to customers directly via Slack and bring product intuition to infrastructure decisions Requirements — Must Have • 5 - 8 years working with Kubernetes and writing production-grade software, • Has managed Kubernetes cluster upgrades, • Comfortable debugging at the node level: shelling into VMs and digging through log files, • Comfortable reading open-source repositories to debug third-party dependencies, • Genuinely excited about Kubernetes, not just experienced with it, • Excited about collaborating with others and providing feedback on anything that touches users' clusters, • End-to-end ownership mindset; has owned the full development lifecycle of code in production, • Genuine interest in dev tooling, • Based in or willing to relocate to New York, fully in-person 5 days a week, • H-1B transfer OK · OPT OK · O-1 considered Requirements — Nice to Have • Experience with Go, • Experience with GitOps, • Has worked on open-source projects in the Kubernetes ecosystem, • Has built a Kubernetes controller Compensation • Base Salary: $200,000 - $270,000 Benefits & Perks • 30 days PTO, • 30 days remote per year, • Relocation covered Interview Process 1. Intro with Team Lead, 2. Applied algorithms and data structures, 3. System design, 4. Specialized coding discussion based on prior interview feedback, 5. On-Site Work Trial, 6. Offer Extended

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Engineer Type: Contract Compensation: $35–$75/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original engineering questions that test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined., • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)., • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers., • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format., • Supply 1–5 academic references per question from reputable sources such as peer-reviewed journals and university repositories. Must-Have • PhD or doctoral candidate in Engineering or a closely related field., • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Strong command of graduate-level engineering principles, applied mathematics, and domain-specific standards., • Professional engineering licensure (PE) or industry experience is a strong plus., • Upload resume, • AI interview based on your resume

Job DescriptionAI Agent Engineer — CollectWise Location: Manhattan, NY (Onsite) | Compensation: $200,000 – $300,000 | Equity: 0.25% – 1% About CollectWise CollectWise is a YC-backed startup using generative AI to automate debt collection in a $35B US market. Their AI agents are already outperforming human collectors by 2x at significantly lower cost. With a team of five, they have scaled to a $2M annualized run rate and are targeting $10M ARR within the year. The Role This role owns the full voice AI stack end-to-end. You will design and build real-time conversational agent systems that operate at production scale across millions of interactions. The role combines infrastructure engineering, prompt engineering, and applied AI in a highly regulated environment. What You'll Do • Build and own voice AI infrastructure on top of LiveKit, • Design orchestration systems including state management, latency optimization, and reliability, • Own prompting strategy including conversation flows, tone, compliance-safe language, and edge-case handling, • Develop evaluation frameworks including A/B testing, regression testing, and KPI tracking, • Continuously improve voice agent performance using real-world call data and outcomes, • Optimize ASR, STT, TTS, turn-taking, and interruption handling, • Build scalable systems supporting millions of voice interactions, • Migrate legacy implementations to modern voice AI infrastructure, • Collaborate with product, operations, and leadership to align technical systems with business outcomesWhat We're Looking For, • 2+ years experience in voice AI, conversational AI, prompt engineering, or speech systems, • 3+ years experience in backend, platform, or infrastructure engineering, • Strong experience with Node.js, AWS, and SQL, • Experience building and shipping production systems in fast-paced environments, • Experience with voice orchestration frameworks such as LiveKit or similar, • Strong prompt design and conversational flow development skills, • Strong analytical ability to tie system performance to business metrics, • Excellent English communication skills required

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who we’re seeking Qvest is seeking an experienced Senior Solution Architect to join our dynamic consulting team specializing in Media & Entertainment. The ideal candidate will have deep expertise in media systems, content supply chains, and broadcast workflows, and a proven track record of designing scalable, modern, and efficient media technology architectures.As a key technical leader, you will engage with major broadcasters, studios, and media platforms to design innovative solutions across content creation, post-production, playout, OTT delivery, and archive. You will collaborate closely with clients, product teams, and systems integrators to modernize legacy environments and architect next-generation solutions in cloud and hybrid ecosystems.What you'll do • Lead architectural design and technical strategy for complex M&E system implementations across linear broadcast, OTT, and digital platforms., • Translate business requirements into end-to-end media workflows and technical architectures., • Design integrations across diverse media systems including MAM, PAM, playout automation, encoding/transcoding, and cloud storage platforms., • Serve as a trusted advisor to media clients, supporting digital transformation, cloud migration, and technology modernization initiatives., • Evaluate and recommend tools, platforms, and technologies aligned to client use cases and industry best practices., • Oversee and review system architecture documentation, data flow diagrams, and interface specifications., • Guide technical delivery teams and partner vendors, ensuring successful execution of designs and alignment to architecture principles., • Participate in pre-sales engagements, contributing to RFP responses, client pitches, and solution estimations.What you’ll bring, • 10+ years of experience in media systems architecture, solutions engineering, or consulting within the Media & Entertainment industry., • Proven expertise in broadcast workflows, including playout, signal chain, live production, and newsroom integration., • Deep knowledge of media formats (e.g., IMF, MXF, ProRes, XDCAM, HLS, MPEG-DASH, JPEG2000) and codec standards., • Experience designing file-based and live workflows across ingest, QC, metadata management, versioning, and delivery., • Strong understanding of key M&E technologies:, • MAM/PAM systems: Avid, Dalet, Vizrt, Cantemo, Sony Hive, CatDV, • Playout automation: Grass Valley Morpheus, Ross OverDrive, Viz Mosart, Evertz Overture, • Transcoding/workflow orchestration: Telestream Vantage, AWS Elemental, Harmonic, Signiant, Aspera, • Cloud platforms: AWS Media Services, Azure Media Services, GCP, Object Storage (S3, Blob), • Streaming & OTT: DRM, HLS/DASH packaging, CDNs, SSAI/DAI, • Experience with hybrid cloud and cloud-native architectures (especially AWS or Azure) for media pipelines., • Familiarity with media metadata schemas (e.g., EBUCore, XMP, IPTC, Dublin Core) and industry standards like SMPTE ST 2110, SMPTE 2022, SCTE 104/35, DPP., • Proficiency with workflow modeling and tools such as BPMN, Visio, Lucidchart, or UML., • Strong client-facing communication and presentation skills., • Ability to navigate complex technical conversations with both engineers and business stakeholders., • Comfortable operating in a fast-paced, consulting environment with multiple stakeholders., • Thought leadership and passion for emerging trends in media technology.Preferred, • Experience working with or consulting for broadcasters, studios, or large media platforms., • Hands-on experience with production environments including Newsroom Computer Systems (NRCS), studio automation, or live control rooms., • Certification in AWS (e.g., AWS Solutions Architect Professional) or relevant cloud certifications., • Experience with Agile and DevOps methodologies, CI/CD pipelines in media workflows., • Knowledge of AI/ML applications in media (e.g., auto-tagging, QC, speech-to-text) is a plus.Travel RequirementsEmployees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. Remote & Hybrid WorkWhile remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. Life at QvestWe were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Job Description Client is seeking to hire a Senior Infrastructure Engineer to design, operate, and scale the systems that power their platform. You'll work at the intersection of blockchain, cybersecurity, and distributed infrastructure, ensuring services are reliable, secure, and ready to meet the demands of a trillion-dollar financial industry. This role goes beyond maintaining servers. You'll architect, automate, and secure infrastructure, improve resilience, and embed best-in-class DevOps and SRE practices into workflows. You'll collaborate across engineering, product, and security to translate requirements into infrastructure that is scalable, cost-efficient, and secure. Responsibilities • Design, build, and maintain secure, scalable backend services and APIs (REST)., • Architect databases and microservices for performance, reliability, and growth., • Own projects end-to-end: from requests, implementation, to production and iteration., • Troubleshoot complex issues, resolve performance bottlenecks, ensure resilience., • Contribute to CI/CD pipelines, observability, and overall engineering excellence., • Collaborate with product, security, and leadership on roadmap and technical direction., • 8+ years of backend software engineering experience in fintech or blockchain., • Strong in TypeScript, plus ideally at least one low-level language (Rust, Go, C++)., • Proven track record building scalable APIs, infrastructure, and developer tools., • Expertise with databases (PostgreSQL, DynamoDB, NoSQL) and AWS services., • Skilled in microservices, CI/CD pipelines, observability, and SSLDC practices., • Familiar with applied cryptography, PKI, and backend security fundamentals., • Strong problem-solving, clear communication, and ability to deliver under pressure., • Remote - Location: US or EU (remote-first, office optional). Must be in the US, not Canada or in the European Union. France or Paris.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: A lab signs with CoreWeave. They have thousands of GPUs waiting. Their first month? Spent on cluster setup instead of research. Building deployment scripts, fighting container images, wiring up job orchestration. They came to train models. Instead, they're doing operations. This is the problem. We're building the Applied Training team to fix it. You'll be an early member of a small team, responsible for our Kubernetes-native research cluster platform, or the sandbox client for agentic training and evaluation, or possibly a new project altogether. The goal is specific: Give every CoreWeave customer the research infrastructure that currently only exists inside frontier labs. About the role: • Contribute to the roadmap for Applied Training. Figure out what actually unlocks new workloads and what's just nice to have. Work directly and closely with customers, and other teams inside of CoreWeave that are building cloud native primitives. Compute, storage, networking, etc., • For the research cluster platform: design and build a complete research cluster experience. CLI, job configuration schema, Kubernetes operators, daemons. Solve the problems researchers actually hit: code distribution, checkpoint-triggered evaluation, cross-cluster scheduling, programmatic job control. Replace the patchwork of scripts customers keep building on their own., • For sandbox infrastructure: own the Python SDK and work in a very tight loop with the backend team. When an RL training run needs to spawn thousands of isolated containers for agent rollouts, that's this system. When someone wants to run agent benchmarks at scale, that's this system. Make it work with our Kubernetes clusters, storage, and auth so researchers don't have to think about infrastructure., • Write the documentation for running popular OSS training frameworks on CoreWeave. The work that can unblock customers and help them succeed., • Work with infrastructure teams and customers directly. The customers are large AI labs running thousands of GPUs. Understand how they structure their internal supercomputing stacks. Bring that knowledge back to what we build.Who You Are:, • 8-12+ years building distributed systems, ML infrastructure, or developer platforms., • Real Kubernetes experience: custom controllers, operators, scheduling, CRDs, workload orchestration at scale. Not just deploying things to Kubernetes or cluster administration., • Excited about rigorous engineering, but enabled by AI based workflows., • You understand what makes researchers productive. Code distribution matters. Fast iteration cycles matter. Workflows that don't require becoming infrastructure experts matter., • Familiarity with training: how distributed jobs get scheduled, how ranks initialize, what breaks at scale., • You've shipped infrastructure that other people rely on daily. Not prototypes. Production systems., • Experience building internal ML platforms or research clusters at a company doing large-scale training., • Familiarity with agentic AI: RL training with rollouts, agent evaluation, sandbox isolation for running untrusted code., • Background with Slurm, Ray, or similar workload orchestration. Opinions on where they fall short., • Experience with container runtimes, isolation (gVisor, Kata), or serverless platforms., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Role You'll Play: At Playlist, we're reimagining how technology can foster meaningful, real-world connections. As a Senior Software Engineer on the SmartDesk team, you'll be at the forefront of building an AI-powered front desk assistant that transforms how wellness businesses communicate and operate. • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to marketYou'll drive innovation by:, • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to market The Experience You'll Bring:, • 5+ years of Senior-level experience building full-stack features for SaaS products, • Proven track record of developing user-facing web applications and supporting APIs, • Expertise in designing and shipping AI-powered features in production environments, • Strong experience with distributed systems, third-party integrations, and messaging platforms, • Proficiency in making architectural decisions that balance technical debt, innovation, and business needs, • Deep understanding of engineering fundamentals, including testing, observability, and maintainability, • Exceptional communication skills with the ability to collaborate across multidisciplinary teams, • Comfort navigating ambiguity and rapidly learning emerging technologiesTechnologies You'll Use:, • LLMs and Generative AI Frameworks, • AWS (ECS, SQS, RDS), • Python, • TypeScript / JavaScript The base salary range for this position in the United States is $151,000 to $201,000 USD. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plans. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

Job Description About the Company This is an AI‑native startup building advanced legal automation systems for small and mid‑sized law firms. The team recently raised a Series A, has grown revenue more than 4× in the last four months, and is scaling quickly to meet demand. With a current team of ~15, every engineer plays a defining role in product direction, culture, and technical standards. The company's AI agents already outperform human lawyers in third‑party evaluations — this is applied AGI work, not toy demos. About the Role We're hiring a full‑stack engineer (1–5 years experience) who loves building, shipping, and owning production systems. You'll work across the entire stack — TypeScript, Python, React, Next.js, LLMs, agentic workflows — and ship features that immediately impact real customers. This is a high‑agency, high‑ownership role where you'll work directly with founders, legal experts, and internal teams to build AI systems that automate real legal workflows. What You'll Do • Ship production‑grade features across the full stack (TypeScript, Python, React, Next.js), • Build intuitive UI/UX for AI‑native workflows using LLMs and agentic architectures, • Prototype and iterate rapidly on zero‑to‑one features, • Own your work end‑to‑end: design build deploy monitor iterate, • Contribute to both product engineering and infrastructure, • Work closely with internal teams to understand workflows and automate them, • Help set the engineering bar and shape the culture for future hiresMust‑Haves, • 1–5 years of full‑stack or product engineering experience, • Strong proficiency in TypeScript and Python, • Has shipped production‑quality features at a reputable, high‑growth company (Series A+ preferred), • Can point to something they've built and are proud of (GitHub, portfolio, personal project), • Holds a 4‑year CS degree (or equivalent technical degree), • High agency and reliability — able to own problems independently, • Comfortable working in‑person 5 days/week in NYC, • Thrives in fast, scrappy, early‑stage environmentsNice‑to‑Haves, • Experience at high‑growth companies like Figma, Notion, Airtable, etc., • Experience with LLM APIs, agentic workflows, or AI‑native product patterns, • Experience building production frontend with React, • Prior startup or founding experienceCompensation & Benefits, • Competitive base salary, • 0.5%–1% equity, • Full health, dental, vision, • Visa sponsorship available (H‑1B transfers + new applications, OPT, TN), • Relocation support to NYCWork Environment, • On‑site 5 days/week in Manhattan, • High‑agency, high‑ownership culture, • Fast‑moving, collaborative, and product‑obsessed, • Engineers work closely with founders and domain experts, • Expectation of independent execution with minimal hand‑holding

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 To build the data foundation that powers Stuut's intelligence layer. You'll work closely with our product and engineering teams to transform raw financial data into actionable insights that help our customers get paid faster. This is a foundational role, you'll be our first data hire, which means you'll shape everything from our data architecture to how we think about analytics. This is a high-impact role for someone who can think strategically about data infrastructure while rolling up their sleeves to build pipelines, models, and systems from scratch. You'll translate messy data into clean, reliable datasets that drive product decisions, customer insights, and business growth. If you've ever wanted to own the entire data stack at a fast-growing company, this is it. What You’ll Do * Build and own our data infrastructure from the ground up — design pipelines that ingest, transform, and model data from customer ERPs, payment processors, and internal systems * Build the transformation and semantic layer that serves as the single source of metric truth across customer-facing analytics, internal reporting, and our AI/ML systems * Design the canonical data model that normalizes information across heterogeneous source systems, with quality tests and observability built in from day one * Build the event and signal pipelines that turn product interactions and outcomes into clean, labeled data — the foundation for analytics, ML, and intelligent product features * Partner with product, engineering, and applied ML to embed data quality, lineage, and observability into everything we ship * Implement DataOps best practices so our data — and the AI features built on top of it — stays timely, accurate, and trusted * Collaborate with leadership to define KPIs, build dashboards, and surface insights that drive strategic decisions * Scale our data platform as we grow from dozens to hundreds of customers, anticipating needs before they become bottlenecks You Might Be a Fit If You… * Have 3+ years of hands-on experience building production data pipelines using Python * Know your way around SQL and modern cloud data warehouses; experience with Snowflake or BigQuery is a plus * Have deep experience implementing ETL/ELT workflows at scale using tools like dbt, Airflow, or similar — and have opinions on what good looks like * Have built or contributed to a semantic / metrics layer and care about metric consistency across surfaces * Understand data modeling fundamentals and can design canonical schemas that normalize messy, heterogeneous source data into something usable * Have worked with real-world data from SaaS APIs, ERPs, and third-party integrations — and have battle scars to show for it * Care deeply about data quality and observability — freshness, lineage, automated testing, and anomaly detection as first-class concerns * Have experience partnering with ML or applied AI teams on feature pipelines or supporting data infrastructure (bonus, not required) * Thrive in ambiguity and get energized by building something new rather than inheriting someone else's stack * Have experience (or strong interest) in fintech, B2B SaaS, or financial data — understanding AR/AP workflows is a big plus 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: $135K - $190K

Job DescriptionSalary: JOB DESCRIPTION: Database Engineer Company: Paga Sector: FinTech Position: Database Engineer Reports to: Software Team Lead/Senior Database Engineer Location: Lagos, Nigeria Experience: 1 to 6 years of database engineering experience ABOUT PAGA Paga is on a mission to enable one billion Africans and millions of SMEs to pay, preserve hard-earned income, participate in global trade, and purchase goods and services at home and abroad. We have built a multicurrency, cloud-based payments and financial services engine that leverages multiple business services built on the same best-in-class infrastructure to serve the ecosystem through three businesses - Paga Engine (Enterprise B2B - ); Paga (Consumer - ); and Doroki (SME Retail - ). Paga has three licenses with the Central Bank of Nigeria mobile money, international remittance, and a microfinance bank. Paga is headquartered out of the United Kingdom and has operating entities in Nigeria, United States, and Ethiopia. Founded in 2009, Paga now serves millions of users and businesses across Africa and beyond. Paga is a licensed financial services company and a leading payments company in Nigeria. Our purpose at Paga is to make it simple for 1 billion people to access and use money. We do that by delivering innovative financial services to the mass market across large, underserved markets. We were founded on the simple belief that the growing ubiquity of the internet and mobile phones enables us to build an ecosystem that empowers everyone to digitally send and receive money and to use simple but meaningful financial services. At Paga we value above all else, Collaboration, Ownership, Results Orientation, Integrity and Innovation (CORII). As a Software Engineer - Mobile iOS Native at Paga, you will take on responsibility for implementing high-quality functionality for well-defined functional or technical areas of the iOS platform. You will design, build, and maintain native iOS applications that serve millions of customers across Africa. You will work within an agile, functionally-aligned team across a broad range of technical platforms and frameworks. You will participate in the full range of product development and product-maintenance activities including design, support, code review and training and be expected to engage consistently with other stakeholders across the organization within the functional areas that your work affects. KNOWLEDGE AND SKILL REQUIREMENTS • A degree in a related discipline, • 1 6 years database programming experience, • Agile product development methodology experience, • Excellent SQL programming skills, • Strong knowledge and experience with database performance optimization and optimization application, • Working knowledge of database management concepts, • Strong Microsoft SQL specific applied knowledge, • PostgreSQL applied knowledge a plus, • MySQL specific applied knowledge a plus TECHNICAL QUALIFICATIONS • SQL Code Sophistication Understands database programming concepts, from basic functional up to fairly complex programming constructs/techniques and applies them in their work. Can Implement complex, well-defined functions, scripts, stored procedures and triggers to a high level of quality to support application development., • SQL Code Performance and Optimization - Is aware of significant database programming performance "smells" and avoids them independently. Considers performance in their implementation and leverages well known methods to produce performant code. Can identify issues related to database performance and provide corrective measures. Can evaluate existing data storage solutions and recommend improvements for performance efficiency, • Testing - Is fastidious about testing query results and testing the impact of potential write operations prior to provision for any production use. Takes pride in the accuracy of their results., • No-SQL Database Knowledge - Can understand no-sql data source paradigms and implement data queries for no-sql databases. May have working knowledge in one or more common no-sql data stores., • Code Cleanliness and Organization - Produces clean and well-organized, well-documented code. Effectively documents database products and objects. Is meticulous about in-code comments to support reusable database objects, • Tool/Routine Automation - Is consistent about automating or tooling repetitive database engineering tasks to improve long-term productivity and institutionalize activities, • Bug Free Code - Produces bug-free code at a reasonable pace. Doesn't require much time or back-and-forth with testing to produce error-free code., • Process Adherence & Development - Follows defined development processes with little or no oversight. Works well in an iterative, agile development environment and adheres to processes effectively. NON-TECHNICAL VALUES & TRAITS • Scope - Is able to take on specific, well defined, lower-complexity tasks and execute them effectively and to a high level of quality with supervision. May own small to medium features of the system from technical design through to completion with guidance., • Initiative - Takes the initiative to reach out to superiors and senior peers whenever necessary for support and assistance. Takes initiative to effectively breakdown, prioritize and implement tasks tactically. Takes initiative to improve on design and strategic impact on the areas of responsibility in collaboration with feature stakeholders., • Follow Through/Scrappiness/Grit/Availability - Sees tasks through to completion, focusing on quality and completeness rather than speed of execution. "Does what it takes" to marshal resources and support to drive tasks to completion efficiently., • Mastery/Depth of Understanding - Is able to develop a sufficient understanding of the task at hand to execute it effectively. Develops strong, self-sufficient knowledge of a specific area of the system. Understands core system framework enough to be able to use them with minimal supervision. Capable of providing on-call support for areas of the system that they are familiar with. Understands company process and methodology well., • Business Impact Awareness, Pragmatism - Takes direction effectively to implement tasks per instruction from managers. May make independent sensible design decisions that optimize business value of work. Avoids focusing on unimportant details and excessive bikeshedding., • Vision & Strategic Perspective - Is able to understand the vision and strategic goals of the organization. Understands current business strategic goals and incorporates them in design and development decisions in an effective way. Demands an understanding of strategic motivations for their work, • Collaboration Works well in a team environment composed of multiple product development skills. Is courteous, tactful and diplomatic. Responds positively to request for help from internal and external partners. Does his/her share of tasks. Takes on additional work, when asked, to help a colleague out. Keeps people informed of progress on key tasks., • Ownership & Results Orientation Demonstrates self-motivation and initiative taking in personal and professional level. Is comfortable with rapid change and is willing to take ownership to deliver results in a high-pressure product development environment. Takes decisive and accurate action to deliver value. Accepts responsibility for outcomes even when elements are not within his/her control, providing a balanced and objective explanation. Supports and encourages others to adopt a constructive attitude to the successful completion of work responsibilities. Share own successes and praise others for motivation. Motivates colleagues through their own enthusiasm and willingness to learn., • Integrity Is honest without fail. Treats everyone with respect. Expresses an interest in the way people behave, recognizing the importance of attitudes and motives. Acknowledges the good work of others. Pays close attention to the needs of others., • Policy Adherence - Keeps up to date with rules and regulations. Applies policies, processes and procedures to daily working. Identifies and proposes solutions for improvements to ways of working., • Communication Shares technical and product-specific knowledge with team and company through 1x1 conversations, presentations, and support. Expresses ideas or facts clearly. Good written and verbal communication skills. Promotes two-way communication with others through correct interpretation of messages and appropriate responses. Communicates in a non-threatening way. Shows empathy. Click on this link to apply for this job. We are an equal opportunity employer and value diversity inclusion. We do not discriminate on grounds of colour, race, nationality, religion, age, ethnic origin, disability, gender, marital status, or sexual orientation in our employment practices.

Job DescriptionDescription: KS Engineers, P.C. (KSE) is a mid-size engineering and construction management firm ranking in the ENR Top 500 for design and ENR Top 100 for construction management. We are headquartered in Newark, NJ, with regional offices in New York City and Newburgh, NY; Philadelphia and Pittsburgh, PA; Mount Laurel and Mount Arlington, NJ; and Rocky Hill, CT. The firm provides engineering, construction management, and land surveying services to both public and private sector clients. KSE offers a full range of employee benefits, including medical, dental and vision insurances, a 401(k) plan, paid time off, Flexible Spending Accounts (FSAs), long- and short-term disabilities, and term life insurance. KS Engineers, P.C. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Position: Senior Inspector – NJ DCA Reports to: Department Manager and/or Project Manager General Qualities: • Qualified NJ DCA Certified Special Inspector to support inspection services on construction projects throughout New Jersey., • This role is responsible for ensuring that all work complies with applicable codes, standards, and project specifications, while maintaining the highest levels of safety and quality., • 3–9 years of relevant inspection experience Technical Duties & Responsibilities: • Perform field inspections in accordance with NJ DCA regulations, project specifications, and applicable building codes, • Inspect construction activities including structural steel, welding, concrete, masonry, and fireproofing, • Verify compliance with approved plans, submittals, and contract documents, • Identify and report non-conforming work and coordinate corrective actions, • Prepare and submit detailed daily inspection reports and documentation, • Coordinate with contractors, engineers, and project stakeholders to ensure quality and compliance, • Bachelor’s degree in civil, Structural, or Geotechnical Engineering (preferred), • Structural Welding, • Structural Steel & Bolting, • Reinforced Concrete, • Structural Masonry, • Spray-Applied Fireproofing, • NJ DCA Special Inspector – Concrete Placement, • NJ DCA Special Inspector – Prestressed Concrete, • NJ DCA Special Inspector – Soils, • Nuclear Gauge Safety Certification (U.S. Department of Transportation), • OSHA 30 Certification Physical Requirement: • Ability to pass a physical exam for full mobility, • Capable of lifting and/or moving up to 50lbs carrying, and transporting equipment, samples, and materials, • Comfortable navigating active construction sites, including ladders, scaffolding, and uneven terrain, • Willingness to work in varying site conditions and project environments KS Engineers, P.C. is an EOE/AA/VEV/Disabled Employer. KSE will not discriminate based on race, color, religion, creed, sex, national origin, marital status, age, disability, veteran status, citizenship status, or other status protected by law.

Job DescriptionBenefits: • 401(k), • Health insurance About Us Lightning Mechanical has been serving New Jersey and the greater Tri-State area since 2005. We specialize in commercial, industrial, and multi-tenant HVAC services, including repair, maintenance, installation, and in-house sheet metal fabrication. Our team is factory-trained on Daikin VRV and Applied systems, along with many other VRF manufacturers, giving us an edge in delivering dependable service and quality workmanship HVAC Contractor New Jersey_ Rep. As a growing contractor with a reputation for excellence, were looking to bring on the next generation of project management talent. Position Summary We are seeking a motivated Junior HVAC Project Manager to support the execution of commercial and industrial mechanical projects. This is an excellent opportunity for someone with 13 years of experience (or strong internship/assistant PM experience) who is eager to grow into a senior-level role. Youll work closely with senior project managers and company leadership, gaining hands-on exposure to scheduling, budgeting, procurement, and client relations. Responsibilities • Assist in managing HVAC projects from kickoff to closeout under the guidance of senior staff., • Track project schedules, budgets, and progress updates., • Support the preparation of submittals, RFIs, change orders, and project documentation., • Coordinate material and equipment deliveries., • Communicate with subcontractors, vendors, and internal teams to ensure timely execution., • Attend project meetings, document action items, and follow up with stakeholders., • Monitor site safety compliance and quality standards., • Gradually take ownership of smaller projects as skills and experience grow. Qualifications • 13 years of experience in HVAC, mechanical contracting, or construction project management., • Familiarity with HVAC systems, terminology, and construction practices., • Strong organizational, communication, and problem-solving skills., • Proficiency with Microsoft Office; exposure to project management software is a plus., • Bachelors degree in Mechanical Engineering, Construction Management, or related field (preferred but not required)., • Driven, detail-oriented, and eager to develop into a senior project manager. Compensation & Benefits • Competitive salary: $55,000 $70,000 per year., • Health, dental, and vision insurance options., • 401(k) retirement plan., • Paid time off and holidays., • Mentorship and career growth opportunities with a clear path to senior-level project management.

Job Description About Synchron Synchron’s vision is to build non-surgical brain–computer interfaces at global scale that protect the fundamental human rights of freedom of expression and autonomy. Our first mission is to develop motor decoders that restore the ability of 15 million people with paralysis to interact with the digital world. Our second mission is to develop whole-brain cognitive decoders that enable hundreds of millions of people with cognitive decline to preserve and expand their agency as cognition changes over time. In pursuing these goals, we aim not only to help humans flourish, but also to drive fundamental discoveries in human intelligence. Our team operates at the intersection of healthcare and technology, translating breakthrough research into real-world, safety-critical systems. Employment: Full-Time Location: Brooklyn, New York (Onsite) About the Role We are seeking an energetic, personable, and adaptive researcher to work directly with the pioneering participants of our brain-computer interface (BCI) product. This role bridges human neuroscience research, applied machine learning, and real-world BCI deployment. You will work closely with our machine learning, research engineering, clinical, and product teams to collect, analyze, and interpret neural and behavioral data, contributing directly to the improvement of real-time neural decoding models and user experience. Your work will directly translate to the ability of our users to control the BCI. The ideal candidate is resourceful, learns fast, handles uncertainties strongly, and has excellent experiment operations. You should be as comfortable speaking with participants and their caregivers as you are experimenting with model training pipelines or analyzing data. Key Responsibilities • Conduct research sessions with BCI users, including setup, calibration, and structured data collection., • Analyze and interpret multimodal data (neural, behavioral, video) to inform product and research decisions., • Develop and iterate on machine learning models for neural signal decoding and behavioral prediction., • Collaborate with machine learning and research engineering teams to align experimental protocols with product goals., • Document findings and methodologies for internal and external dissemination., • Support the design of human research protocols and ensure compliance with ethics and safety standards., • Bachelor’s, Master’s, or PhD in Neuroscience, Computer Science, Biomedical Engineering, or a related field (or equivalent experience)., • Expertise in Python, with model training workflows (e.g., PyTorch, TensorFlow, scikit-learn, metaflow), and data science frameworks and tools (e.g., NumPy, Pandas, SciPy, matplotlib, seaborn)., • Expertise in machine learning techniques and applications for real-time systems, • Demonstrated ability to problem-solve under uncertainty and adapt quickly to new environments., • Excellent interpersonal and communication skills for working directly with BCI users and research participants., • Experience conducting or supporting human research., • Familiarity with brain–computer interface systems or electrophysiological data., • Experience designing or executing experiments with human participants., • Experience in applied research environments integrating software, hardware, and data science.Compensation, • The base salary range for this role is $150,000 – $220,000USD depending on experience, skills, and qualifications. We are unable to offer visa sponsorship for this position at this time. Benefits (for W-2, full-time, exempt employees in the US only) ***Intern positions not eligible • Subsidized medical and dental insurance coverage for you and your dependent(s), • Life insurance, short-term disability, long-term disability, • 401k, • Discretionary unlimited PTO, • Flexible Spending Account for you and your dependent(s), with eligible plan elections, • Commuter benefits for NY employees Equal Employment Opportunity (EEO) Synchron is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants and provide equal employment opportunities without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable law. If you need a reasonable accommodation during the application or interview process, please let us know. Join Us At Synchron, you will be part of a transformative mission and you will work alongside driven people who believe in the power of collaboration and innovation to make a lasting impact. If you are excited to stretch your skills and contribute to something meaningful, apply and now and build the future with us.

Job Description Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone. We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. More about us Product (Captions by Mirage) Research (Seeing Voices, technical-white-paper) Updates (Mirage on X / twitter) TechCrunch, Forbes AI 50, Fast Company (press) Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the role This role focuses on designing and building intelligent systems that power creative workflows for short-form video. You’ll help shape how AI-driven experiences reduce friction, accelerate learning, and unlock new creative possibilities for our users—while experimenting with emerging models and techniques to bring these experiences to life in production. Applied AI engineers work across product, machine-learning, and systems engineering—owning meaningful problems end-to-end and helping define how our models are used across the product. Responsibilities * Build and ship end-to-end AI-powered products and systems that meaningfully improve creative workflows, balancing quality, performance, and reliability * Integrate state-of-the-art models, combining internal research and external capabilities to unlock new product experiences * Measure and improve system quality in production, using experimentation, evaluation frameworks, and real-world feedback to guide iteration * Design the systems that support intelligent behavior, including how models gather context, make decisions, and operate efficiently at scale What Makes You a Great Fit * 5+ years of professional industry experience * A track record of designing and developing ML systems in production * Deep experience with context engineering: RAG systems, token optimization, context management at scale * Experience building evaluation systems and agentic infrastructure (context gathering, tool selection) * Exceptional problem solving fundamentals and ability to learn quickly in a rapidly evolving space * Able to operate effectively in an extremely fast-paced environment and scope and deliver projects end-to-end Even better if... * You have worked with multi-agent architectures * You have experience fine-tuning LLMs for specific use cases * You have a pulse on where generative media and agentic AI technology is going * You are grounded, collaborative, and willing to do whatever it takes to help the team win * You have been a startup founder or an early engineer at one Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment 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. Please note benefits apply to full time employees only. Compensation Range: $185K - $285K

Job DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! We’re moving fast, and the numbers speak for themselves:- Partnered with enterprise brands like Google, AAA, Ro, Coursera- Raised $82M (top tier investors including Emergence & Homebrew)- Completed 250MM+ calls- Driven $7B revenue for customers- Scaled to $## ARR- Built amazing NYC (Midtown) in office culture ABOUT THE ROLE: As a Technical Product Lead on the Voice AI Agent team, you'll drive the experience that matters most: making Regal's voice AI agents indistinguishable from the best human agents and the highest-performing in the market. You'll partner closely with engineering to set the product vision for how Regal evaluates, benchmarks, and continuously improves agent quality—building the eval frameworks, defining the performance bar, and translating frontier AI research into production gains our customers can feel on every call. This role sits at the heart of what makes Regal win. You'll work across infrastructure and applied to drive decisions that directly impact conversation quality and competitive differentiation. If you want to shape what "best-in-class" means for Voice AI—and have the technical depth and product instinct to back it up—this role is for you. RESPONSIBILITIES: Define and Own the Quality Bar: Partner with engineering to establish Regal's point of view on what makes the best Voice AI agent—across naturalness, accuracy, task completion, and conversational flow. Translate that vision into measurable standards the entire organization rallies around. Optimize the Latency-Cost-Intelligence Tradeoff: Develop the product strategy for balancing response time, inference cost, and model capability. Partner with engineering to architect a pipeline where customers get the smartest, fastest responses at sustainable unit economics. Build Evaluation & Benchmarking Frameworks: Develop comprehensive eval sets, automated regression suites, and A/B testing infrastructure to ensure Regal's agents stay top-performing as models, prompts, and configurations evolve. Stay at the Frontier: Track emerging trends in LLMs, speech-to-text, text-to-speech, and real-time inference. Evaluate new models, techniques, and architectures and translate the ones that matter into Regal's production stack. Drive Competitive Differentiation: Develop and execute a strategy for how Regal's Voice AI agents outperform alternatives—whether through model selection, latency optimization, or proprietary fine-tuning. Bridge Customers and Infrastructure: Go deep with customers to understand what "quality" means in their specific context (industry, use case, caller expectations), then translate those insights into infrastructure and model-level improvements that scale across the platform. Measure, Iterate, Ship: Define success metrics for agent quality (e.g., conversation completion rate, caller sentiment, response latency percentiles, escalation rate). Build dashboards, run experiments, and drive a continuous improvement loop with engineering and applied AI. Align and Communicate: Set a clear vision for the Voice AI team and communicate it crisply to leadership, engineering, and cross-functional stakeholders. Manage the roadmap, make hard prioritization calls, and keep the team moving fast toward outcomes that matter.ABOUT YOU: Technical Depth with Product Instinct: 4–6 years of experience as a Product Manager, Product Engineer or founder, ideally working on AI/ML products, infrastructure, or developer platforms. This role is Product lead for a research team, so you're comfortable navigating model architectures, inference pipelines, and API design—and you know how to translate that understanding into product decisions that move metrics. Eval & Data Mindset: You think in experiments, benchmarks, and feedback loops. You've built or contributed to evaluation frameworks, A/B testing programs, or quality scoring systems—and you understand why rigorous measurement is the foundation of any AI product. Natural Leader: You set a vision and bring others along. You communicate complex tradeoffs crisply, make decisions with incomplete information, and create clarity for your team in ambiguous, fast-moving environments. Deeply Curious, High Agency: You don't wait to be told what to investigate. You dig into call recordings, run your own experiments, read research papers, and chase down the root cause. You act with urgency and ownership. Preferred Background: Computer Science, Math, or Engineering background preferred but not required. What matters is that you can go deep on technical problems and come back with a clear product direction.Benefits/Perks • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • Subsidized Class Pass membership, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Science Experts Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices., • Design challenging data science tasks and write accurate, well-structured analytical solutions., • Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor., • Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches. Must-Have • 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Upload resume, • AI interview based on your resume #hiringmercor

Job Description Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team responsible for taking ideas from concept to production — building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community. This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank's platform, and you will help define and build that future. What you'll do • Design, build, and deploy end-to-end AI-powered product experiences from concept through production., • Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure., • Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling., • Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning., • Build multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal LLMs, embedding models, and specialized tooling such as SAM2/SAM3., • Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across Material Bank's platform., • Evaluate, refine, and improve AI-generated outputs for quality, tone, accuracy, and creative alignment through testing, iteration, and human-in-the-loop evaluation strategies., • Partner closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and translate ambiguous ideas into production-ready AI capabilities., • Make architectural decisions that balance speed, scalability, latency, cost, accuracy, and long-term maintainability., • 8+ years of experience building and shipping production software, including significant full-stack engineering experience., • Demonstrated success designing and deploying production-grade AI/ML systems and AI-powered product experiences., • Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or equivalent custom tooling., • Strong engineering fundamentals across backend systems, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems., • Experience working with multimodal models, visual analysis systems, and image-based AI workflows at scale, including familiarity with modern image-generation tooling and services., • Strong systems thinking with the ability to balance trade-offs across latency, cost, scalability, accuracy, reliability, and user experience., • Proven ability to independently take ambiguous problems from idea to shipped product with minimal oversight., • Strong product instincts, visual sensibility, and a high bar for quality, usability, and craftsmanship in AI-generated experiences., • Genuine interest in creative industries such as architecture, design, fashion, media, photography, or art, with an appreciation for aesthetics and taste., • Open-source contributions, side projects, or publicly demonstrable AI work that reflects curiosity, experimentation, and passion for applied AI are strongly preferred., • Our people: We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution., • Relaxation and Celebrations: Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect)., • Health Benefits: We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program., • Plan for your Retirement: 401(k) eligible after your first 90 day's employed!, • Giving Back: We sponsor multiple events throughout the year to help out our communities., • Growth: We'll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters!

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs a Software Engineer in the Robotics and Automation group at Radical AI, you will design and deploy systems to automate our material science research and discovery laboratory. You will specialize in robotics, automation, and perception software development. Your experience and vision will shape both the physical and systematic implementation of lab automation. You will collaborate closely with Mechatronics, Mechanical Engineering and Material Scientists to meet rigorous and sometimes dynamic design requirements at a profound deployment speed. Mission • Architect and develop software systems that control and orchestrate robotic workcells for autonomous materials experimentation, • Design scalable control frameworks for flexible automation involving robots, motion systems, sensors, and lab instruments, • Collaborate with hardware, mechatronics, and science teams to translate experimental workflows into reliable automated processes, • Build and maintain APIs and services for scheduling, execution, monitoring, and data capture, • Develop simulation, testing, and validation tools to accelerate development and ensure system reliability, • Integrate 2D and 3D vision systems (cameras, lighting, depth sensors) with robotic manipulation, motion planning, and execution, • Optimize system performance, robustness, and throughput under rapid iteration cycles, • Contribute to technical direction, architecture decisions, and best practices across the robotics, perception, and automation software stack, • Mentor junior engineers and help establish engineering standards in a fast-growing organization, • Bring an attitude of collaboration and open-mindedness, to facilitate fearless and creative problem solving skills that empowers our team to ship world class technology at an unprecedented speed.About you, • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field, • Four+ years of professional software engineering experience, with significant work in robotics or automation systems, • Strong proficiency in modern programming languages such as Python and C++, • Experience with robotic control frameworks (e.g., ROS/ROS2 or equivalent custom systems), • Experience with physical simulation environments (e.g. MuJoCo, IsaacSim), and hardware-in-the-loop testing, • Solid understanding of motion planning, state machines, real-time or near-real-time control systems, • Experience integrating hardware systems including robots, sensors, vision systems, and industrial equipment, • Ability to work independently in a hands-on, development-oriented environment., • Strong communication skills and ability to collaborate across engineering and scientific disciplines.Pluses, • Experience deploying autonomous systems in laboratory, manufacturing, or industrial environments, • Experience deploying autonomous mobile robots and working with simultaneous localization and mapping (SLAM), • Experience with reinforcement learning and computer vision applied to robotics, • Familiarity with machine learning applied to robotics, experimentation, or optimization, • Prior startup experience or ownership of systems from early prototype through productionWhat we offer, • A competitive compensation package also includes the best in benefits., • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in physical sciences, experimental research, quantitative data analysis, scientific reporting, technical evaluation, and structured scientific review. This role supports current and upcoming remote consulting opportunities focused on physical sciences research review, scientific task development, experimental-method analysis, quantitative data assessment, technical reporting, and high-quality project execution. Selected professionals will apply their subject-matter expertise to review realistic scientific scenarios, evaluate technical outputs, prepare structured feedback, and support accurate, evidence-based scientific workflow tasks. Key Responsibilities Professionals in this role may contribute to: Scientific Research & Technical Review • Review scientific materials involving physical sciences, experimental methods, quantitative analysis, and technical reasoning, • Evaluate scientific outputs against source materials, research context, methodological standards, and documented review criteria, • Support structured review of research summaries, scientific explanations, technical reports, experimental scenarios, and analytical workflows, • Review scenarios involving experimental design, measurement workflows, data interpretation, statistical reasoning, and scientific reporting, • Evaluate quantitative outputs for accuracy, consistency, clarity, and alignment with scientific principles, • Support structured review of datasets, charts, lab-style documentation, research notes, and technical analysis materials, • Create or review tasks and deliverables based on real-world physical science workflows, • Provide domain-specific feedback on scientific accuracy, reasoning quality, data interpretation, and technical communication, • Support evaluation workflows involving model outputs, scientific reasoning, and research-style problem solving Strong candidates may have: • Professional experience in physical sciences, experimental research, applied science, scientific analysis, laboratory work, quantitative research, or technical reporting, • Background in one or more areas such as physics, chemistry, materials science, earth science, atmospheric science, astronomy, applied mathematics, or related scientific fields, • Familiarity with workflows involving experimental methods, data analysis, scientific reporting, research documentation, and technical evaluation, • Comfort reading and preparing scientific artifacts such as research summaries, data analyses, experimental notes, technical reports, charts, and methodology descriptions, • Strong written communication skills, • A degree or professional background in physics, chemistry, materials science, earth science, environmental science, astronomy, applied mathematics, engineering, or a related physical sciences field is helpful, • Graduate-level research experience, laboratory experience, scientific publications, or applied technical work is highly relevant, • Experience with experimental research methods, quantitative data analysis, scientific modeling, technical writing, or research publication workflows, • Familiarity with peer-reviewed literature, scientific datasets, laboratory documentation, measurement methods, uncertainty analysis, or research-quality reporting, • Experience preparing or reviewing technical reports, research summaries, scientific assessments, benchmark tasks, lab-style workflows, or analytical documentation, • Strong comfort with spreadsheets, statistical tools, Python, MATLAB, R, scientific software, or domain-specific research tools, • Apply physical sciences expertise to structured remote project work, • Contribute to high-quality scientific review, technical evaluation, quantitative analysis, and research workflow assessment, • Work on flexible assignments aligned with your scientific or technical background, • Use your analytical judgment in a focused, evidence-based review environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $75–$110 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

Job Description R2Net is a diamond bridal jewelry company with a technology soul. R2Net Inc. is an innovative technology company that provides e-commerce and supply chain platforms to connect the entire span of the diamond industry ecosystem, including manufacturers, retailers, and consumers. We are seeking an Intern who will be responsible for Manufacturing excellence documentation and will support the development of training documents SOPs and a comprehensive specification library for our core products. This role requires Graphic design, 3D design and CAD proficiency, the ability to layout visual training documents, to translate designs into clear technical documentation, and excellent communication skills. The intern is expected to work with urgency, accuracy, and a high level of ownership. Responsibilities: • Organize and maintain structured filing systems for training documents, SOPs, and QC materials to ensure accessibility, consistency, and version control, • Support preparation and standardization of QC training documentation, including tolerance guidelines, defect definitions, and onboarding materials aligned with workflows, • Develop and maintain SOPs for manufacturing, QC, and production, ensuring alignment with operational practices and consistency across tea, • Create, organize, and maintain a detailed CAD-based specification library for core products, • Develop and refine technical specifications for production and quality control use purposes., • Translate current production files into clear, accurate technical specifications and documentation, • Ensure all specifications meet internal standards and quality requirements, • Collaborate with CAD, Quality and Production teams to validate specifications and ensure they meet the required use cases, • Experience using CANVA software, office 360 suit and familiar with preparing presentations for training., • Hands-on experience using CAD software (Preferably Matrix, Rhino, or similar), • Familiarity with the concept of specifications for production and quality use, • Strong understanding of technical drawings, dimensions, tolerances, and materials, • Excellent written and verbal communication skills, • High level of organization and attention to detail, • Ability to work independently, responsibly, and with a sense of urgency, • Comfortable managing multiple tasks and meeting deadlines Hourly base pay: $17.00 - 19.50 Final pay rate shall be determined and is based on experience and qualifications. At this time, R2NET will not sponsor a new applicant for employment authorization for this position. What You’ll Gain: • Hands-on experience building a real-world CAD specification library used in production, • Improved skills translating design concepts into clear, professional technical documentation, • Practical experience collaborating with cross‑functional teams (design, engineering, production), • Strengthened CAD proficiency and technical accuracy through applied, deadline-driven work

Job Description We’re hiring a Head of AI Product & Architecture Consulting! Employment Type: Full-Time/Direct Hire Location: Richmond, VA, Atlanta, GA, Washington, DC, New York City & Charlotte, NC Metro Areas Location Type: Hybrid - 1-2 days onsite per week - Home Office/Local Ippon office About Ippon: The Ippon story started in 2002 in Paris, France - cue in the accordion. Our founder and CEO Stéphane Nomis used his unique experience as an international Judo champion to create a culture based on the sports values of ambition and excellence. Our USA Headquarters office is located in Richmond, VA, with additional offices in New York, NY, Washington DC, and Atlanta, GA. We are a technology consulting firm that specializes in helping accelerate our client’s digital roadmap in the areas of Product Management, Cloud, DevOps, Data, AI, and Software Engineering. Expanding partnerships is the top priority in our strategy, and we are proud to be a Premier Snowflake Partner and an Advanced AWS Partner. Ippon stands out through its financial services industry expertise, technical excellence, and a distinctive coaching mindset. About the position: The Practice Head of AI Product & Architecture will lead Ippon's APA practice, combining deep expertise in software development, product engineering, agile delivery, architecture, and applied AI. This role is responsible for growing a high-performing consulting team, shaping the practice's methods and offerings, and ensuring delivery excellence across complex client engagements. The ideal candidate is a proven leader with strong consulting instincts and a track record of delivering meaningful technology outcomes. They bring deep grounding in modern engineering practices and software craft, alongside hands-on AI experience — applied practically across product development, software delivery, customer experiences, and enterprise operations. Roles and Responsibilities:Practice Leadership & Team Development * Lead and grow the practice across people, offerings, delivery standards, and market positioning. * Continuously improve consulting methods, delivery playbooks, technical standards, and ways of working in collaboration with Customer Success and Senior Leadership. * Build a strong team culture grounded in software craft, product thinking, architectural discipline, and practical AI adoption — with an emphasis on psychological safety, accountability, and measurable improvement. * Recruit, develop, coach, and retain high-performing consultants, engineers, architects, product leaders, and delivery practitioners. Delivery Excellence * Provide senior oversight across client engagements involving software development, product engineering, AI-enabled delivery, modernization, and architecture. * Ensure solutions are maintainable, secure, scalable, and aligned to client outcomes, promoting modern practices such as continuous delivery, test automation, observability, and platform thinking. * Use metrics such as DORA, flow metrics, and business outcome measures to drive evidence-based improvement. * Help clients adopt flexible, sustainable delivery models that balance speed, governance, quality, and business value — coaching cross-functional teams on effective collaboration across product, engineering, architecture, security, and compliance. AI Leadership * In collaboration with the CTO, shape APA's approach to applied AI across product engineering, software development, architecture, and delivery transformation. * Help clients identify and pursue practical AI use cases that improve delivery speed, product quality, customer experience, or operational efficiency. * Guide teams in the responsible use of AI-assisted development tools, agentic workflows, and intelligent applications, with clear understanding of associated risks including governance, security, privacy, and regulatory considerations. * Partner with Ippon's data and cloud leaders to connect APA's AI capabilities with strengths in AWS, Snowflake, and data architecture. Client and Thought Leadership * Support sales pursuits, proposals, and executive conversations — translating ambiguous client needs into clear engagement strategies, delivery plans, and measurable outcomes. * Act as a trusted advisor to senior client stakeholders at the intersection of product, engineering, architecture, data, cloud, AI, and governance. * Define and package APA offerings across AI-enabled product engineering, software modernization, delivery effectiveness, and engineering excellence. * Drive brand awareness through thought leadership initiatives including events, blogs, white papers, and client success stories. Competencies we are looking for: Minimum Qualifications: * 5+ years of consulting experience * 5+ years of experience leading software engineering, product engineering, architecture, or technology consulting teams. * 5+ years of experience building, managing, coaching, and growing high-performing technical teams. * 7+ years of experience and deep understanding of modern software development practices, including software architecture, software craft, DevOps, CI/CD, testing strategies, and cloud-native delivery. * 7+ years of experience with product development and product-oriented ways of working. * Strong working knowledge of agile delivery practices, with the judgment to adapt methods to fit client context rather than applying process mechanically. * Hands-on experience with AI tools, AI-enabled software development, intelligent applications, or applied enterprise AI use cases. * 7+ years of experience in financial services, banking, insurance, capital markets, or related regulated industries * Excellent organizational skills, including the ability to manage people, priorities, offerings, delivery quality, and practice operations simultaneously. * Strong client-facing communication skills, including the ability to engage credibly with executives, product leaders, engineering leaders, architects, and delivery teams. * Experience supporting business development, proposal creation, solution design, or account growth in a consulting environment. * Ability to travel up to 20% of the time Preferred Qualifications: * Bachelor's degree in Computer Science or a related field * Experience leading a consulting practice, capability, center of excellence, or large technology delivery organization. * Experience using DORA metrics, SPACE, flow metrics, or other engineering effectiveness frameworks to improve delivery performance. * Experience with AI-assisted development tools, agentic workflows, LLM-enabled applications, or enterprise AI governance. * Familiarity with AWS, Snowflake, modern data platforms, and cloud-native architecture. * Experience with modernization programs, legacy system transformation, platform engineering, or large-scale digital product delivery. * Experience creating market-facing offerings, white papers, executive presentations, workshops, and assessment frameworks. * Understanding of regulatory requirements and compliance standards (e.g., GDPR, HIPAA) within the Financial Services and Insurance industries. * Knowledge of IT strategy and management * Demonstrated experience of presenting talks at conferences, publishing white papers, and public speaking. What we offer: * Competitive salary – Great starting salaries for well qualified candidates * Generous Paid Time Off policy - Ippon offers flexible time off to help you be your best * Health, dental, and vision insurance – We are dedicated to helping our employees live healthier lives through comprehensive health programs * 401k with company match - Ippon offers an industry leading 401(k) matching plan * Family Leave - We support the importance of family and offer maternity, paternity and family medical leave plans * The chance to work in a startup-esque environment with a fun, smart, and healthy work environment, focused on our values, teamwork, and 5406 custom Slack emojis Salary range listed is base salary. Role is eligible for a company performance bonus, as well as MBO's. We value the diversity and different perspectives each of our employees bring to Ippon Technologies. Ippon Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran, or disability status. Visit us on LinkedIn or at to learn more. So, do YOU speak Ippon?

Job Description Role Summary Lexeo is at an inflection point where AI and advanced analytics can materially accelerate decision-making across discovery, development, and operational execution. This Sr. Director will set direction and deliver applied AI/ML solutions across internal workflows and externally facing outputs, ranging from R&D insights to partner-ready analyses, while partnering closely with scientific teams and, when needed, external vendors/partners to solve real problems. This role is intentionally hands-on and outcome-driven: a leader who can build, validate, and operationalize models using real-world biopharma data to raise the signal-to-noise ratio in small or unstructured datasets (including synthetic control arm approaches where appropriate). Key Responsibilities AI/ML Strategy + Delivery • Define and execute Lexeo’s applied AI/ML roadmap across discovery and development, prioritizing use cases that improve speed, quality, and decision confidence., • Deliver solutions that are internal-only (e.g., scientific decision support, operational forecasting) and those that are generated internally but external-facing (e.g., partner-ready analyses (regulatory dossiers, briefing books, protocols etc.), validated dashboards, and decision materials)., • Lead development and selection of appropriate ML approaches (e.g., XGBoost, Random Forest, SVMs, and other advanced models) based on problem framing, data constraints, interpretability needs, and deployment context., • Apply techniques to amplify signal-to-noise in smaller datasets (e.g., regularization, Bayesian methods, hierarchical modeling, augmentation, multimodal integration, careful feature engineering, uncertainty quantification)., • Translate drug discovery and translational questions into testable analytical hypotheses; partner with bench scientists to design data capture that enables strong modeling., • Partner with stakeholders across R&D, CMC, Clinical, Safety, and IT/Security to implement scalable data pipelines and AI-enabled workflows., • Improve internal processes through automation and analytics, focusing on measurable impact (cycle time, error reduction, throughput, decision latency)., • Establish practical governance for data quality, documentation, and fit-for-use standards aligned with the realities of biopharma environments (including where regulated practices apply). What Success Looks like (First 6-12 Months), • A prioritized AI/analytics roadmap tied to measurable R&D outcomes; clear ownership and delivery cadence., • 2–4 production-grade analytics solutions adopted by teams (internal and/or external-facing outputs as needed)., • A repeatable approach for small datasets and high-noise signals; documented modeling standards and review practices., • Strong partner engagement model: vendors/partners used strategically, with internal capability building and durable outcomes. Required Skills and Qualifications, • Advanced degree in a quantitative or scientific discipline (PhD strongly preferred; MS with exceptional experience considered)., • 10+ years of relevant experience across applied data science/ML in life sciences/biopharma (or adjacent domain with direct drug discovery translation), including 5+ years leading teams and influencing senior stakeholders., • Deep familiarity with advanced ML methods (including XGBoost, Random Forest, SVMs) and the judgment to select and justify the right tool for the job., • Demonstrated experience building predictive models with real-world, imperfect datasets and delivering them into production or decision workflows., • Proven ability to improve processes and operationalize analytics—moving beyond prototypes to adoption., • Strong cross-functional communication: can partner with scientists, engineers, and executives; can explain model performance and limitations clearly. Preferred Skills and Qualifications, • Direct experience in drug discovery, translational research, and/or R&D decision support (target ID/validation, MoA, biomarker strategy, preclinical data integration)., • Experience with small data strategies, causality-aware thinking, and synthetic control arms or closely related methodologies., • Experience operating in regulated/quality-sensitive environments and building documentation practices that scale (particularly relevant where validation and traceability are required).

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest US is seeking an experienced Senior Consultant in Rights Management to join our growing IP & Rights Management Consulting practice. In this role, you will help lead projects that optimize our clients' Rights Management systems, and help lead other technology and business consulting projects. We are looking for an organized and ambitious team member who will excel in a fast-paced environment, and who is passionate about content IP & Rights Management.What you'll do • Help guide project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Conduct initial reviews of deliverables and give feedback, • Proactively identify risks and issues, and provide mitigation strategies, • Lead various client meetings such as stakeholder interviews and client workshops, • Build and maintain strong client relationships, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat you'll bring, • 3-5+ years System Implementation, SDLC, Integration, and Project Management experience, • 3+ years in consulting / professional services, big firm experience preferred, or Project Management experience at a non-consulting organization, • Subject matter expertise in content IP/Rights, especially in the Media & Entertainment space, • Familiarity with an SDLC methodology that covers requirements analysis, development, and delivery, • Experience with presentation and spreadsheet tools, such as PowerPoint, Excel, and Visio, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related fields, • Some experience in the following Rights Management areas:, • Rights management system implementation (e.g., Rightsline, RSG, Mediamorph, FilmTrack, Vistex), • Rights management in content acquisition / production management, publishing / distribution, and licensing, • Rights management experience with participations and/or residualsPreferred Experience, • 1+ year of experience in Media & Entertainment/Broadcast and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PwC)Travel RequirementsEmployees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. Remote & Hybrid WorkWhile remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. Life at QvestWe were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Job Description Castle Park Investments is seeking a tech-driven analyst to join our data and technology team, reporting directly to Kutay Gozalan, VP of Data & Technology. This role is ideal for a current student, recent graduate, or early-career professional passionate about transforming real estate operations through data analytics and artificial intelligence. We are open to candidates at various stages—whether you're a senior undergraduate, a graduate student, or a recent graduate ready to hit the ground running. For current students, we're looking for someone with a manageable course load who can commit approximately 20 hours per week (with some flexibility). For those who perform well, this internship is designed to convert into a full-time position. You will play a pivotal role in enhancing our portfolio-wide KPI tracking, building machine learning pipelines, and leading the integration of AI tools to optimize processes across our 4,500+ unit portfolio spanning manufactured housing communities, RV resorts, and campgrounds in 9 states. Key Responsibilities: ● Create data collection pipelines from property management systems into our cloud-hosted storage environment. ● Identify, pilot, and implement AI-powered tools to automate workflows in marketing, leasing, maintenance, and investor reporting. Be the internal champion for AI adoption across all departments. ● Build internal business intelligence tools, including automated Excel reports using SQL queries and custom live dashboards deployed through AWS CloudFront, leveraging AI-assisted coding tools. ● Deploy automated machine learning pipelines, supported by AI tools, to interpret and summarize data, surface trends, and enhance decision-making. ● Partner with operations, acquisitions, and investor relations teams to translate data insights into actionable business decisions. Requirements Qualifications: ● Current senior pursuing a Bachelor's degree, graduate student, or recent graduate in Data Science, Business Analytics, Computer Science or Engineering, or Software Engineering. ● For current students: ability to commit approximately 20 hours per week (flexible based on course load and availability). ● Strong analytical and problem-solving skills. ● Foundational experience with business intelligence tools such as Tableau, Power BI, Google Looker, or similar. ● Strong SQL and Python skills, including experience with API integrations and data analytics libraries such as Pandas and NumPy. ● Passion for AI and emerging technologies with a track record of self-driven learning and experimentation. ● Strong communication skills—ability to translate complex technical concepts for non-technical stakeholders. ● Self-starter mentality; thrives in fast-paced, entrepreneurial environments with minimal supervision. Preferred Qualifications: ● Basic JavaScript knowledge and experience with front-end web development, ideally using Node.js. ● Experience using AI tools such as Claude Code to build BI tools or other applications. ● Familiarity with cloud computing, preferably on AWS. ● Experience working in IDEs like Visual Studio Code. Benefits ● Be part of a fast-growing real estate investment platform that is redefining attainable housing across the U.S. ● Work hands-on with industry-leading AI and data-driven solutions applied directly to real estate ownership and operations. ● Collaborative, entrepreneurial environment with a clear path to full-time employment. ● Competitive compensation and benefits package.

Job Description Who We Are Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world's most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Who We Hire Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it. Mission As the AI Engineer at Kargo, you will architect, build, and scale AI-powered products and automations for Kargo's commercial organization. Operating within the Data & AI team, you are the connective tissue between revenue teams and AI infrastructure — proactively identifying high-value use cases, building intelligent workflows and agentic applications, and deploying trustworthy systems across Salesforce, Snowflake, Slack, and other internal platforms. You're both hands-on and capable of owning the strategic roadmap for AI operations at Kargo. This is a hybrid role requiring onsite presence 4 days per week. Outcomes - What Success Looks Like in 6-12 Months • At least 3 high-impact AI automations are live and actively used by commercial teams — measurably reducing manual work or improving data quality across Salesforce, Slack, or Snowflake, • A governance model is in place covering prompt engineering standards, audit trails, and a feedback loop that drives continuous iteration, • Cross-functional stakeholders trust and use the tools you've built, and Kargo's Data & AI leadership has a clear, prioritized AI Ops roadmap that you own and drive Design & Automation • Design, build, deploy, and maintain AI-powered automations and agent workflows using modern orchestration frameworks — LangGraph, n8n, OpenAI Responses/Agents tooling, MCP-compatible architectures — with integrations across Salesforce, Slack, Snowflake, Atlassian, Google Workspace, Looker, and Airtable, • Translate business pain points into modular, extensible automation flows that are observable, debuggable, and fault-tolerant; proficient in Python or JavaScript for custom connectors and scripting, • Build production-grade LLM applications — agent workflows, retrieval systems, internal copilots — using ChatGPT Enterprise and related LLM APIs for knowledge surfacing, workflow routing, decision support, and dynamic content generation, • Work cross-functionally with Sales, Client Services, Media Strategy, Marketing, Product, and Ops to discover automation opportunities, prototype quickly, document tooling, and drive self-service adoption, • Prompt libraries, embeddings-based retrieval, or vector databases (Pinecone, Weaviate) and RAG pipelines Builder's Instinct • AdAge Best Places to Work, • ThinkLA Partner of the Year, • Built In Best Places to Work, • Cynopsis 2025 Top Women in Media - Jeannine Shao Collins, • Martech Breakthrough Awards - Best Overall Adtech Company, • Digiday Media Awards Best Event, • Cynopsis Media Impact Awards-Best CTV Platform, • Martech Breakthrough Awards-CTV Innovation, • Big Picture: kargo.com Pursuant to applicable fair chance laws, including the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Kargo will consider qualified applicants with arrest and conviction records for employment.

Job DescriptionJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier –this isn’t it. The Role Eight Sleep is looking for an experienced mobile Product Manager to join our growing Product team. The ideal candidate has shipped exceptional mobile products in high-growth start-ups, working closely with designers and engineers in fast-moving, squad-like teams. They are a power user of modern AI tools and leverage them daily to accelerate discovery, analysis, and execution. We want someone with deep product management roots, strong technical instincts, and a passion for health tech and wellness. In this role, you’ll collaborate with machine learning engineers, sleep science researchers, designers, and mobile engineers to build smart, AI-powered, autonomous experiences that help people achieve the best sleep biologically possible. You’ll balance a bold product vision with a sharp focus on user needs, ensuring every feature creates measurable impact for our members. As one of the early AI adopters in the sleep space, Eight Sleep is training models on the world’s largest sleep dataset to power groundbreaking features in our app - and expects every member of the product team to leverage AI tools daily to move faster and smarter. We prefer someone based out of our NYC HQ. What You'll Help Build * Partner with our product researchers to gather qualitative and quantitative customer research to deeply understand customer’s sleep needs and transform that into value-add user stories and product requirements * Work with complex data sets and to deliver seamless experiences around sleep and recovery * Write stories and sprint goals that clearly communicate key objectives. Develop, refine, prioritize and track implementation of requirements and new features * Conduct thorough QA on new app features, ensuring bug-free releases * Assess customer opportunities, prioritize initiatives, and make data and judgment driven trade-offs * Design and run A/B tests to learn about customer behavior, iterate, and optimize * Closely collaborate with and orchestrate efforts across functions and teams, including engineering, UX, analytics, research, and product marketing * Conceptualize, scope, define, and drive projects through the product life cycle * Communicate product details to senior management * Work cross-functionally with customer care and marketing teams to validate, launch, support, and monitor new features * Track and measure the success of each release, and feed those learnings back into the roadmap What You'll Need to Succeed * 3-5+ years of experience in mobile product management (experience with hardware IoT products a plus) * Proven track record shipping consumer-facing apps or services with high customer satisfaction * Experience working closely with designers, engineers, researchers, and product marketing * Demonstrated ability to leverage AI tools to increase velocity and quality in product development workflows * Relentless resourcefulness - ability to make big things happen with limited resources * Excellent communication and organizational skills, with attention to detail and prioritization in changing environments * Comfort innovating in complex, ambiguous situations * Genuine passion for sleep, wellness, technology, and connected devices Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with*: * Lunch in the office 5 days per week * Full access to health, vision, and dental insurance for you and your dependents * Supplemental life insurance * Flexible PTO * Commuter benefits to ease your daily commute * Paid parental leave *List of benefits may vary depending on your location At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Please note: This role is open to applicants in the US. Compensation (salary and equity) listed is reflective of candidates based in New York, NY. Compensation Range: $140K - $200K

Job DescriptionAbout Fractional AI How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages? Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand. Our clients include Zapier, Airbyte, and companies from industries ranging from data infrastructure to healthcare and life sciences. We were founded by repeat founders Chris Taylor, Eddie Siegel, and Travis May (Founder of Datavant, $7B exit), and are backed by Shaper Capital. Most of our engineers are former founders or staff engineers from top tech companies like Google and Stripe. We're headquartered in SF with additional offices in NYC, Raleigh-Durham, and Dubai. The Role This role is designed for former engineering leaders (IC or EM) or founders who are comfortable owning end-to-end technical outcomes but specifically want to continue being impactful as individual contributors and spend more time in the code. You'll work on a small, high-caliber team (2–5 engineers and a PM) building AI products for our clients. You'll set technical direction, write code, and be the person the team looks to when something is hard. You'll spend roughly 75% of your time in code and 25% working directly with clients — often their CTOs — understanding problems, walking through tradeoffs, and making sure what we’re building meets their needs. Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices. What You Bring * 8+ years of engineering experience, with deep care for the craft. You've shipped multiple complete products end-to-end and write elegant, production-ready code across multiple disciplines. * Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design. * Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build. * High ownership mindset. You jump in without instruction, embrace a "no job too big, no job too small" mindset, and want to shape strategy and culture. * Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty–with yourself and your team. Our Engineering Philosophy We're opinionated about what works in production, and we write about it — from why most eval setups fail by collapsing everything into a single score, to why defaulting to chat interfaces limits AI's impact. We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over. After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI. How Fractional Is Different A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else. Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our engineers think. Our Values * Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team. * Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier. * Over "engineer" the culture: For every big decision, we ask “would this make Fractional a better or worse place for our team?” Location San Francisco, CA New York, NY Work Arrangement: 4 days in-person, Fridays remote Benefits * 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. * 📈 401k with Matching: Invest in your future with our company-matched retirement plan. * 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. * 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. * 🚑 Health FSA: Manage out-of-pocket health expenses effectively. * 🚌 Commuter Benefits: Make your travel to work easier and more affordable. * 🏥 Life Insurance: Providing peace of mind for you and your loved ones. * 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us? Compensation Range: $230K - $350K

Job Description Capnexus is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capstone is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capnexus is looking for a highly skilled Senior AWS Full Stack Developer to design, develop, and deliver a cloud-native application for a 12-week AI-powered modernization engagement in the construction industry. You will serve as a hands-on full stack developer building an intelligent subcontractor pre-qualification platform leveraging AWS services including Amazon SES, QuickSight, Lambda, and API Gateway, with a modern frontend and serverless backend. This is an exciting opportunity to work on cutting-edge generative AI solutions that transform manual document review workflows into automated, intelligent processes. Responsibilities: • Design and develop the application architecture, UI/UX, and technical requirements during the Discovery & Design phase., • Configure and integrate AWS SES for automated email delivery and Amazon QuickSight for executive-facing dashboards., • Build and deploy a document upload portal enabling subcontractors to submit insurance certificates, bonding letters, and financial statements., • Develop RESTful and serverless APIs using AWS Lambda and Amazon API Gateway to support frontend/backend integration., • Create real-time status and risk profiling dashboards in Amazon QuickSight integrated with CMIC ERP data., • Integrate AI-powered document validation and exception management workflows driven by Amazon Bedrock., • Build and manage automated subcontractor outreach features including personalized email generation and response tracking via Amazon SES., • Develop and host frontend applications using AWS Amplify, Amazon S3, and Amazon CloudFront., • Participate in CI/CD pipeline setup, automated testing, and deployment to production environments., • Collaborate with cross-functional team members including AI/ML, DevOps, and Data Engineering resources., • Conduct integration testing, support user acceptance testing (UAT), and develop user training materials., • Contribute to knowledge transfer documentation and post-deployment operations guides. Qualifications: • 5+ years of full stack software development experience, with at least 2+ years working in AWS cloud environments., • Proficiency in modern frontend frameworks (React, Angular, or Vue) and backend development using Python, Node.js, or TypeScript., • Hands-on experience with AWS serverless architecture including Lambda, API Gateway, S3, and Amplify., • Experience building and configuring Amazon QuickSight dashboards and data visualizations., • Familiarity with Amazon SES for transactional and automated email workflows., • Strong understanding of RESTful API design, data modeling, and cloud-native integration patterns., • Experience with CI/CD pipelines and DevOps practices (AWS CodePipeline, CodeBuild, or equivalent)., • Solid skills in frontend/backend integration, application testing, and deployment automation., • Excellent problem-solving, communication, and collaboration abilities within Agile/Scrum teams. Nice to Have: • Experience with Amazon Bedrock, Amazon Textract, or other AWS AI/ML services., • Familiarity with ERP systems or API integrations (CMIC or similar construction/enterprise platforms)., • AWS Certification (Developer Associate or Solutions Architect)., • Experience with CloudFront CDN configuration and S3 static site hosting., • Background in construction, insurance, or financial services industries. "Our Culture": At Capnexus, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: • "A Customer Obsessed, Delivery Focused, Culture", • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME, • "A Culture of Learning and Sharing", • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially., • "A Culture of Growth and Scalability", • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time., • "All Work is Strategic", • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters, • Big or small, we execute our plans and strategies with focus, commitment, and passion We offer: Job Type: Full-time, short-term Benefits: • Remote work Capnexus is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please!

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in advanced mathematics, proof-based reasoning, competition mathematics, quantitative problem solving, and structured mathematical evaluation. This role supports current and upcoming remote consulting opportunities focused on structured mathematical reasoning review, advanced problem solving, proof evaluation, benchmark development, quantitative analysis, and high-quality project execution. Selected professionals will apply their mathematical expertise to solve challenging problems, evaluate reasoning quality, prepare structured written outputs, and support accurate, rigorous mathematical review workflows. Key Responsibilities Professionals in this role may contribute to: Advanced Problem Solving & Mathematical Reasoning • Solve advanced mathematical problems across competition math, proof-based mathematics, quantitative reasoning, and research-style problem sets, • Work through problems involving areas such as number theory, combinatorics, algebra, real analysis, complex analysis, probability, and linear algebra, • Produce precise, well-structured mathematical solutions with clear reasoning and rigorous justification, • Review mathematical proofs, solution paths, derivations, and advanced reasoning outputs against structured criteria, • Evaluate correctness, rigor, clarity, completeness, and logical consistency in mathematical work, • Provide clear written feedback explaining reasoning issues, missing steps, alternative approaches, and solution quality, • Develop original advanced mathematical problems, solution keys, and evaluation rubrics, • Support benchmark-style work involving mathematical reasoning, proof construction, and quantitative evaluation, • Apply statistical or quantitative methods to assess performance patterns across mathematical tasks Strong candidates may have: • Strong background in advanced mathematics, mathematical competitions, proof-based coursework, academic research, quantitative finance, theoretical computer science, statistics, or related quantitative work, • Demonstrated participation or achievement in elite mathematical competitions such as IMO, Putnam, USAMO, national olympiads, or comparable advanced competitions, • Deep proficiency across multiple mathematical areas such as combinatorics, number theory, algebra, real analysis, complex analysis, linear algebra, probability, or statistics, • Ability to produce precise, rigorous, and well-structured mathematical writing, • Strong attention to detail and ability to evaluate complex reasoning step by step, • A bachelor's degree or higher in mathematics, applied mathematics, statistics, computer science, physics, engineering, economics, or a related quantitative field is helpful, • Advanced degree, olympiad-level training, academic research experience, or comparable high-level mathematical background is highly relevant, • IMO, Putnam, USAMO, national olympiad, or equivalent high-level competition experience, • Graduate-level training in mathematics, statistics, theoretical computer science, physics, or quantitative finance, • Experience writing original mathematical problems, proof solutions, evaluation rubrics, or benchmark-style materials, • Familiarity with mathematical modeling, quantitative research, probability, statistics, or computational mathematics, • Apply advanced mathematical expertise to structured remote project work, • Contribute to high-quality mathematical reasoning, proof review, problem design, and quantitative evaluation workflows, • Work on challenging assignments aligned with your mathematical strengths, • Use your mathematical judgment in a focused, rigorous review environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $45–$70 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

Job Description About impact.com impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results. Your Role at impact.com: We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics. This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business. You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both. What You'll Do: Yield Optimization & Pricing Models • Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory., • Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health., • Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns., • Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives., • Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions., • Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving., • Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes., • Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making., • Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers., • Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic., • Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue., • Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy., • Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate., • Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides., • Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly., • Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse. Required • Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems)., • Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack., • Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership., • Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems., • Technical skills:, • Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks)., • Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference)., • Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining., • Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events., • Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques)., • Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums., • Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms., • Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML., • Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems., • Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions., • Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling)., • Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training., • Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts., • Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack., • Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain., • Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal., • Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking., • Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. • Medical, Dental, and Vision insurance, • Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled, • Flexible spending accounts and 401(k), • Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life., • Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health., • A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval., • Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses., • Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver. #LI_NewYork_NewYork