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About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. Our team's mission is to grow inspired engagement with Pinterest, through comprehension and adoption of our core features among Consumers. As the Lead Product Analyst for Lifecycle Marketing, you have the opportunity to shape not only your role and be the Pinner Engagement Measurement & Insights subject-matter expert but also use data to shape Pinterest's product adoption strategy. What you'll do: • Use data to shape Pinterest's product adoption strategy. From understanding the audience to identifying/sizing the opportunity and executing in-product experiments, you will translate data into insights and action, communicate recommendations and learnings to the broader organization and feed insights to update the creative best practices., • Develop product and marketing measurement plans, learning agenda and goals to ensure team is maximizing learning at every opportunity and delivering actionable insights to inform future iterations., • Lead end-to-end experimentation effort from designing, setting up to comprehensive reporting on campaign/test performance across a host of metrics such as business, behavioral, product adoption and channel performance metrics., • Build and maintain central reporting dashboards to improve visibility and accessibility of product lifecycle, GTM performance and in-product marketing impact across team and stakeholders., • Socialize actionable, timely insights and findings with cross functional partner to inform/influence key decision and planning., • Establish best practices and center of excellence on product marketing measurement and approaches. What we're looking for: • Exceptional data analysis skills. 8+ years of experience analyzing data in a fast-paced, data-driven environment (e.g. consumer tech). Expert in SQL or Python/R with experience in leveraging a variety of analytical tools and dashboards to visual data such as Tableau or Apache Superset. Experienced in designing and setting up global product and marketing measurement frameworks, executing A/B tests and comprehensive analysis, from data-driven user segmentation (behavioral, demographic, etc.), designing product growth experiments (A/B and multivariate tests), to funnel analysis, with a proven track record of success., • Entrepreneurial self-starter. You thrive in a fast-moving, ambiguous environment, and are independently capable of seeking information, corralling resources, and delivering results without waiting for direction. Scrappy, creative problem solver who is able to work around constraints to maximize test and learn opportunities. Attention to detail and commitment to high-quality results-oriented output. Comfortable with technical work, can use self-serve tooling without dedicated Engineering support., • Strong communication skills. You can move seamlessly between conversing with engineers or PMMs and leading presentations with senior executives., • High-energy, positive team player. You have a proven ability to build strong working relationships with business partners; this is a highly cross-functional role, so a low ego and a high instinct for collaboration are musts. Demonstrated ability to work with cross-functional stakeholders to identify and prioritize data needs and influencing decision making through data., • Keen aptitude to scale the team. Help build out processes for a small (but mighty) team. Help build our influence across the organization to tackle each of the above for your coverage area., • Graduate degree in a quantitative field such as mathematics, statistics, computer science or engineering (or equivalent work experience). Relocation Statement: • This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1-2 times every 6 months, and therefore can be situated anywhere in the country. #LI-REMOTE #LI-PW1 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$145,747—$300,067 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary The Drug Pricing Surveillance Senior Analyst will play a key role in advancing Capital Rx's pharmaceutical pricing strategy by collecting, analyzing, and interpreting market data across diverse reimbursement and distribution channels. This role partners closely with crossfunctional teams-including Analytics, Legal, Network Management, and Audit-to compare market pricing to Judi Health's contracted rates, surface pricing variability, and identify opportunities for improved value for client plans and their members. The specialist will design integrated, userfriendly reporting that enables datadriven decisionmaking and supports operational workflows across the organization. Additionally, this role contributes to safeguarding fiduciary responsibilities by helping stakeholders understand evolving industry dynamics and compliance expectations. The ideal candidate brings strong analytical skills, experience with pharmaceutical or healthcare data, exceptional communication abilities, and the capacity to manage multiple complex projects in a fastpaced environment. Position Responsibilities: • Pharmaceutical Market Data Collection: Collect data on available prices to end users for pharmaceuticals across distribution and reimbursement channels, including traditional insurance reimbursement, direct-to-patient, and direct-to-employer models, • Pricing Comparison and Analytics: Use available reporting and analytics tools (and collaborate with our dedicated Analytics team) to compare available market pricing to Judi Health's contracted pricing for pharmaceuticals; facilitate executive understanding of pricing variability, • Opportunity Analyses: Identify and investigate opportunities for pricing improvement, working with other teams and departments to scope initiatives aimed at achieving more favorable pricing for client plans and their members, • Integrated Report Design: Design and implement pricing variability data reporting for consumption by users across teams and levels that can be integrated into workflows of relevant teams (for example, audit, network management, etc.), • Fiduciary Duty Protection: Use industry news and direction from our Legal team to facilitate understanding among key stakeholders of health plan sponsor fiduciary duty and our strategies to fulfill our responsibilities as dedicated administrators Required Qualifications: • Bachelor's Degree required, • 2+ years of experience with significant data analytics responsibilities applicable to pharmaceutical pricing, such as in a health plan, PBM, value-based care, or managed care environment; consulting, advising, or tech enablement focused on the preceding areas also considered applicable, • Ability to balance multiple complex projects simultaneously with minimal direction, • Great time-management and organizational skills to manage multiple active projects simultaneously, • Exceptional written, verbal, and presentation skills, • Experience working with data reporting tools, conducting data analyses, and effectively consuming/interpreting data reports and visualizations, • Proficient in Microsoft Office Suite with emphasis on Microsoft Excel and PowerPoint, • Master's Degree in relevant field (Management, Accounting, Healthcare Administration, Health Policy, Data Science, etc.), • Experience with prescription drug channels and payment workflows (pharmacy reimbursement, rebate administration and GPO relations, regulatory requirements, etc.), • Experience with health insurance or health benefits administration (pharmacy benefits in particular), • Experience producing reporting that facilitates data-driven decisions and workflows for stakeholders across functions and levels, • Ability to think strategically and identify inefficiencies, develop long-term solutions, and challenge and improve existing processes through automation and redesign, • Highly detail-oriented and analytical Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • 7+ years of full-time engineering experience, post-graduation, • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases 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.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Exciting Opportunity at MSK: Postdoctoral Research Fellow- Translational Cancer Genomics & Health Disparities We are seeking a highly talented and motivated Postdoctoral Research Fellow to join the Balogun-Chakravarty Laboratory for Gastrointestinal Cancer Disparities at Memorial Sloan Kettering Cancer Center. This is a joint position bridging the GI Oncology Service (Department of Medicine) and the Molecular Diagnostics Service (Department of Pathology and Laboratory Medicine), under the mentorship of Drs. Fiyinfolu Balogun and Debyani Chakravarty. Our laboratory investigates how community factors and socioeconomic status shape the genetics and biology of gastrointestinal cancers, integrating large-scale genomic datasets with real-world clinical data to advance precision oncology and health equity. We collaborate closely with clinicians across Memorial Hospital, community hospital partners, and MSK core facilities to conduct innovative translational research. • The successful candidate will join the interdisciplinary research teams of Drs. Fiyinfolu Balogun and Debyani Chakravarty bridging the GI Oncology and Clinical Computational Diagnostics Services., • The primary focus of this fellowship will be research studies investigating the influence of community and socioeconomic status on the genetics and biology of GI cancers. There will also be opportunities to develop partnerships with community hospitals to establish research workflows and provide a framework for data acquisition., • This framework will serve as a platform for hypothesis generation and a building block to improve precision oncology outcomes. This position will also involve a mixture of methodological development and analysis of large-scale datasets of patient samples from a leading cancer center., • PhD in a computational or quantitative discipline - including computational biology, bioinformatics, biostatistics, epidemiology, population genomics, data science, or a related field, • Experience with genomic data (NGS), clinical or real-world datasets (EHR, cancer registries), or both, • Strong foundation in quantitative methods, study design, and large-scale data analysis, • Proficiency in at least one statistical programming language: R, Python, or SAS, • Independent thinker with strong written and verbal communication skills, • Background in cancer disparities, health equity, population genomics, or cancer epidemiology, • Experience linking genomic data with clinical or socioeconomic variables, • Strong understanding of quantitative methods, study design, data analysis, and interpretation., • Proficiency working with large genetic or population-based datasets (e.g., SEER, TCGA, NGS pipelines, or EHR-linked cohorts), • Experience in at least one of: cancer genomics, genetic epidemiology, clinical data science, or computational oncology Submit C.V., letter of interest, and references in your application submission to: Juana Almonte Pay Range: $72,000 - $76,385 Helpful links: Additional Information: Learn more about working as a Post-Doctoral Fellow at MSK: What distinguishes this opportunity is access to high-quality facilities, innovative technologies, and a collaborative environment that promotes ingenuity. Working alongside leading professionals in computational genomics, genetic epidemiology, and GI oncology, you will contribute to research that advances precision oncology and improves outcomes for underserved patient populations globally. This fellowship is particularly well-suited for candidates motivated by health equity and the integration of real-world data into translational science. Pay Range: $0.00 - $10,000,000.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Lab or Department & Position Overview The Chan Lab in the Human Oncogenesis & Pathogenesis Program at Memorial Sloan Kettering Cancer Center is seeking a highly motivated and successful computational postdoctoral fellow to study the mechanisms and therapeutic implications of tumor cell plasticity. Our lab in translational computational oncology integrates single-cell and spatial genomics, cell-free DNA profiling, and machine learning to understand how tumors evolve under therapeutic and microenvironmental pressures. We leverage large, deeply annotated patient cohorts with longitudinal sampling, tightly coupled with functional preclinical models, to enable discovery and validation of mechanisms of tumor evolution. A central focus is lineage plasticity, the ability of cancer cells to transition between phenotypic states, which underlies metastasis, immune evasion, and drug resistance. Current research directions include: * Defining transcriptional and epigenetic programs that drive lineage plasticity across adenocarcinoma, squamous, and neuroendocrine states in solid tumors * Investigating analogous mechanisms of lineage switching in hematologic malignancies, including Richter's transformation and myelofibrosis. * Mapping immune and treatment-induced pressures that shape cell fate decisions across space and time * Building predictive computational models of lineage transformation and therapeutic resistance through multi-modal data integration (scRNA-seq, ATAC-seq, spatial imaging, lineage tracing, cfDNA) This position offers the opportunity to work with deeply annotated patient cohorts, longitudinal samples, and cutting-edge experimental systems in a highly collaborative environment. We are seeking individuals who bring creativity, intellectual curiosity, and a strong drive to uncover underlying mechanisms, with a clear motivation to translate discoveries into improved patient care. Responsibilities include developing and applying computational methods, biological interpretation, assisting or leading in manuscript writing, engaging in a vibrant scientific community through regular work-in-progress and lab meetings, and other academic activities. For more information, please visit the lab website at ___. Candidate Requirements The ideal candidate should have: * A PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field * Proficiency in Python and R * Prior experience in computational biology * Ability to engage in independent thinking * Excellent skills in written and verbal communication * Collegiality as a team member and a willingness to mentor other trainees * At least 1 published first-author manuscript Required: Application Submission Details If you have any questions about this job opportunity, please contact: Dr. Joseph M. Chan, MD, PhD Please include a cover letter, brief statement of prior research experience and research interests, CV, and contact information for three references in your application submission. Salary Range Salary: $72,000-$87,000 (depending on postgraduate experience) Pay Range: $0.00 - $10,000,000.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Director, Center for DAIR. You will lead the coordination and execution of complex, large-scale AI research initiatives in mental health contexts. You will manage a team of approximately 10 data scientists and software engineers and collaborate closely with the Clinical Project Manager and project leadership, ensuring seamless collaboration and timely delivery of project milestones. You will oversee project planning, resource allocation, risk management, and stakeholder communication, using common project management tools and methodologies. This role requires strong project management expertise, technical fluency to communicate effectively with the engineering teams that will report to you, and the ability to navigate complex research environments while maintaining alignment with project objectives and organizational goals. This is a full-time, exempt position. A hybrid schedule will be required for employees based in the New York Tri-State area or California Bay Area, with a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. Remote positions will be considered for candidates located outside of these regions . The in-office requirement and schedule are subject to change based on the needs of the program and the organization. Please note: We are not currently able to employ individuals residing in Ohio, North Dakota, Washington, or Wyoming. You Will: • Work with team members across management, multiple engineering teams, clinical researchers, and stakeholders to develop project plans, timelines, milestones, resource requirements and deliverables, all in alignment with the overall mission of the project and organization., • Guide the team through the entire product development lifecycle, from road mapping and requirements gathering, through prioritization and scoping (OKRs), delivery of designs, and project management of engineering execution., • Coordinate cross-functional teams including data scientists, AI engineers, software developers, clinical researchers, and external collaborators to ensure efficient workflow and communication., • Achieve consensus around product vision and priorities across product research, design, engineering, and data science along with our leadership team., • Monitor project progress, identify risks and bottlenecks, and implement mitigation strategies to keep projects on track and within budget., • Help design and implement clinical validation and quality assurance testing for data generation, annotation workflows, and software development to ensure scientific rigor and reproducibility., • Ensure data quality, security, and compliance with privacy regulations for handling sensitive data. You Have: • Master's in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience is required., • 8+ years experience in technical project management for software development, data science, or AI/ML research projects., • 8+ years of experience working regularly with software development lifecycle, data engineering, machine learning, or cloud computing concepts., • 5+ years of practical experience with project management tools and methodologies (e.g., Notion, Jira, Kanban)., • 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning)., • 5+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required., • Demonstrated experience managing complex, multi-phase projects in software development environments with multiple stakeholders and competing priorities. #LI-hybrid #LI-remote Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our ___. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at ___ This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Exciting Opportunity at MSK: At Memorial Sloan Kettering Cancer Center, data drives discovery-and discovery saves lives. We are seeking a dedicated and self-driven highly skilled Software Engineer to help us design, build, and sustain software systems and analytical pipelines that power groundbreaking cancer genomics, medical imaging, and EHRbased research. In this role, we work closely with Biostatistics faculty and scientific teams whose research directly informs clinical decisionmaking and improves patient outcomes. Together, we are building robust, productionquality software that enables advanced analysis of some of the most complex and impactful biomedical datasets in cancer research. This role is ideal for someone who thrives at the intersection of rigorous engineering and scientific discovery-someone who enjoys turning challenging analytical questions into reliable, maintainable, and reproducible software solutions. Through this work, we shape the computational foundation that supports MSK's mission to transform cancer care through research. Role Overview: • Design, implement, and maintain software systems and data pipelines supporting realworld cancer genomics, medical imaging, and EHR data, • Collaborate with interdisciplinary teams to translate analytical and research requirements into reliable, production-quality software, • Develop tools and services for data ingestion, validation, transformation, storage, and access, ensuring performance and data integrity, • Implement and carry out standard methodologies in software engineering, including version control, testing, documentation., • Optimize systems for performance, scalability, and reliability across large and heterogeneous datasets, • Communicate technical designs, trade-offs, and implementation details clearly to both technical and scientific collaborators, • Contribute to open-source or internal software libraries, platform documentation, and long-term architectural planning Key Qualifications: • PhD in a computational science discipline required, • Experience working with statistical and machine learning methods applied to genomics and/or imaging data, • Experience in biotech, life sciences, or healthcare data environments Familiarity with data storage and management systems, including SQL and NoSQL databases, object storage, data lakes, and data warehouses, • Familiarity with common genomics and imaging data formats and standards (e.g., BAM, VCF, DICOM, OMETIFF), • Proficiency in one or more programming languages commonly used in dataintensive systems (e.g., Python, R) Core Skills: • Strong statistical thinking and analytical reasoning skills, • Strong software engineering foundations with an emphasis on code quality, testing, and maintainability, • Passion for building reliable, scalable, and wellengineered software for scientific and clinical applications, • Ability to work effectively in highly collaborative, multidisciplinary environments, • Comfort operating in a fastpaced, researchdriven setting and navigating complex technical challenges, • Commitment to reproducibility, robustness, and engineering best practices, • Resilience and creativity in addressing technical setbacks and complex problem spaces Additional Information: • Schedule: Monday - Friday, 37.5 hrs., onsite, • Location: 633 Third Avenue, NYC, • Reporting to: Biostatistics Service Leader Helpful Links: #LI-POST Pay Range: $121,400.00 - $200,400.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Technical Project Manager, you will lead the implementation and validation of evaluation frameworks for assessing both AI systems in clinical and mental health research contexts, and the symptoms of their users. You will own the distillation of clinical definitions into evaluation rubrics, combining applied clinical science with evaluation operations to ensure that rubrics are clinically grounded and operationally scalable. You will work closely with both the clinical and data science teams, ensuring knowledge is effectively operationalized to the satisfaction of both specializations. Supervising a small team of data science and software professionals, you will establish reliability standards, oversee the design of metrics for use in multi-rater evaluation systems, and ensure scientific rigor through quality assurance, versioning, and comprehensive documentation. This is a full-time, exempt position. A hybrid schedule will be required for employees based in the New York Tri-State area or California Bay Area, with a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. Remote positions will be considered for candidates located outside of these regions . The in-office requirement and schedule are subject to change based on the needs of the program and the organization. Please note: We are not currently able to employ individuals residing in Ohio, North Dakota, Washington, or Wyoming. You Will: • Translate clinical symptom evaluations and manualized therapeutic protocols into reliable, consistent, precise, and scorable evaluation criteria., • Design and implement metadata standards and protocols for multi-rater clinical evaluation systems, enabling crowd-sourced ratings from diverse clinical experts., • Set reliability standards and adjudication logic for resolving disagreements among clinical annotators, ensuring consistency across large-scale annotation efforts., • Establish and enforce quality assurance processes, versioning systems, and comprehensive documentation for all evaluation rubrics and measurement frameworks., • Contribute to scientific publications, white papers, and technical documentation of measurement methodologies and validation studies., • Collaborate with clinical leadership to ensure evaluation criteria accurately reflects clinical best practices, safety standards, and clinician feedback., • Supervise and mentor a small team of data analysts and engineers, providing guidance on evaluation methodologies, statistical analysis, and rubric implementation., • Collaborate with other technical project stakeholders, to ensure that technical definitions and requirements of all curated rubrics and resources are being met. You Have: • PhD, PsyD, MD, or equivalent experience in measurement science, psychometrics, biostatistics, clinical psychology, epidemiology, or related field, • 8+ years of applied evaluation experience in clinical research, health outcomes research, or psychometric assessment, • 5+ years of experience with patient evaluation, clinical rating scales, or performance assessment frameworks, • 5+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required. Experience can be concurrent with education., • 5+ years of experience with applied statistics, including reliability analysis, classical test theory, item response theory, or factor analysis., • Demonstrated leadership of multi-rater or benchmark systems. #LI-hybrid #LI-remote Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our ___. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at ___ This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. The MRI Physics Group at MSK is seeking a Postdoctoral Research Fellow or Research Scientist in MR-guided Radiotherapy (MRgRT). The successful candidate will work under the direct supervision of Dr. Can Wu and will participate in MRI research activities within the group led by the Vice Chair of Research, Dr. Ricardo Otazo, in the Department of Medical Physics. The primary goal of this position is to develop novel motion imaging techniques, such as 4D MRI, for motion-adaptive radiation therapy of high-risk thoracic and abdominal tumors. Specifically, we aim to develop motion-resolved MRI data acquisition methods (e.g., 3D radial sampling) and deep learning-based image reconstruction techniques to enable rapid 4D MRI reconstruction for treatment planning of tumors affected by respiratory motion, including those in the lung, pancreas, and liver. The work will involve developing and implementing novel algorithms for MRI data acquisition, image reconstruction, and image processing, as well as translating these techniques into clinical practice. In addition, there will be opportunities to pursue research in quantitative MRI methods for assessing treatment response across a range of tumor sites, including head and neck, rectal, gynecologic, liver, and pancreatic cancers in the context of radiotherapy. The selected candidate will have the opportunity to work in a highly collaborative, multidisciplinary environment alongside clinical imaging and radiotherapy physicists, engineers, computer scientists, and clinicians within the Departments of Medical Physics and Radiation Oncology at one of the world's leading institutions in clinical cancer care and research. This collaborative environment offers unique opportunities to contribute to translational research, engage in innovative, cutting-edge projects, and collaborate with a multidisciplinary community dedicated to advancing MRIguided radiotherapy and improving patient care and outcomes. The candidate will benefit from advanced imaging and computing resources, as well as opportunities to advance professionally and share research outcomes through conferences and publications. World-class facilities are available to support the research project, including but not limited to the following: • One Elekta Unity MR-Linac system (which includes a 1.5T Philips MRI scanner) and two 3T Philips scanners (Elition MR7700)., • Five high performance computer (HPC) servers with multiple GPUs for image processing and reconstruction, and deep-learning tasks., • Active research collaborations with Philips and Elekta for MRI sequence development and image reconstruction., • PhD degree in physics, engineering, computer science, or related field, • Strong programming skills (e.g., Python, Matlab), • Expertise in developing deep-learning models for imaging applications, • Experience in MRI data acquisition and image reconstruction (preferred but not required), • A strong track record of peer-reviewed publications, • Highly motivated with the ability to work both independently and collaboratively, • Excellent written and verbal communication skills in English Application Requirements Please submit your CV and any inquiries regarding this position to: Can Wu, Ph.D. Department of Medical Physics Memorial Sloan Kettering Cancer Center Pay Range: $72,000 - $93,730 Salary and benefits will be commensurate with experience and the cost of living in New York City. The office is located on the Upper East Side of Manhattan, within walking distance of the MSK main campus hospital and the David Koch Center for Cancer Care at MSK, where the MRI and MR-Linac machines are located. Subsidized housing near the MSK campus is available for Postdoctoral Research Fellows. Pay Range: $0.00 - $10,000,000.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Title: Motion Capture Coordinator Department: Hillier College of Arch & Design Reports To: Assistant Professor, School of Art and Design Position Type: Staff Position Summary: The Strengthening American Infrastructure (SAI) project seeks to improve the usability of public transportation hubs for all Americans, regardless of ability. Using Virtual Reality (VR) simulations, we are studying how people with varying mobility and perceptual abilities navigate public spaces. This research will inform the design of more efficient and accessible public transportation hubs, expanding opportunities for all. We are in collaboration with the Rutgers University Dept. Of Psychology. Rutgers will be performing the human subject studies. At NJIT, we will be recording motion capture data of people that can be used for game design. We are seeking a highly motivated and detail-oriented recent graduate to assist with the motion capture component of this research project. You will play a crucial role in supporting the development and implementation of the motion capture data collection process. This position will provide valuable experience in research methodology, data collection, and project management. Essential Functions: Recruitment: • Assist with the recruitment and screening of participants for motion capture sessions., • Manage participant scheduling and communication., • Ensure adherence to all ethical guidelines and informed consent procedures. Motion Capture Sessions: • Assist with preparing the motion capture studio and equipment., • Provide guidance and support to participants during motion capture sessions., • Accurately capture motion data using specialized software and equipment., • Ensure data quality and integrity throughout the collection process. Data Management: • Organize and manage motion capture data, ensuring proper labeling and storage., • Assist with data preprocessing and basic analysis. Collaboration: • Collaborate with the research team on data collection protocols and procedures., • Contribute to the development and improvement of data collection processes. Additional Functions: • Assist with project-related tasks as assigned., • Participate in team meetings and contribute to project discussions. Prerequisite Qualifications: • Bachelor's degree in a relevant field (e.g., Human-Computer Interaction, Psychology, Human Factors, Computer Science)., • Strong interest in human movement, human-computer interaction, and/or accessibility research., • Excellent communication and interpersonal skills., • Ability to work effectively independently and as part of a team., • Strong organizational and time management skills., • Experience with motion capture technology and software (e.g., Vicon, MotionBuilder) is a plus., • Familiarity with data analysis software (e.g., MATLAB, Python) is desirable., • Commitment to ethical research practices., • 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. Salary Information: In compliance with the NJ Pay Transparency Law, the hourly rate/range for this position is $25.00 (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. FLSA: Non-Exempt Part-Time Special Instructions to Applicants: Benefits: • Gain hands-on research experience in a cutting-edge virtual reality lab., • Contribute to a project with real-world impact on accessibility and public transportation design., • Develop valuable skills in motion capture technology, data analysis, and project management., • Work alongside experienced researchers and learn about the field of human-computer interaction. Apply NowShare Save Job

About Cerberus Founded in 1992, Cerberus is a global leader in alternative investing with approximately $70 billion in assets across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. For more information about our people and platforms, visit us at ___. Job Purpose: Cerberus established our Residential Opportunities investment platform in 2008 to capitalize on opportunities to acquire distressed residential mortgage-backed securities following the Global Financial Crisis. Over the past decade, our Residential Opportunities platform has continued to build upon its expertise in residential debt and evolved to earn recognition as an innovator and market leader in securitizing performing residential real estate loans and investing in single-family rental real estate (SFRs). Our Residential Opportunities strategies seek to maximize absolute return through a combination of capital appreciation and current income, investing primarily in mortgages, loans, and real assets, and leveraging our proprietary asset management platforms to enhance performance and drive value. As an Analyst at Cerberus Operations and Advisory, you will help the team expand its analytic and modeling capabilities across all aspects of Cerberus’ Residential Real Estate strategy, from analyzing hard asset and capital markets transactions to supporting operational excellence. Using the team’s tailored data, you will be expected to create reports, model asset performance, and support research projects. You will partner with portfolio managers, data scientists, and leaders in our proprietary property management platform to build and execute investment and operational strategies that create value for clients. This role operates within a “start-up” environment within the Residential Opportunities platform, requiring comfort operating in a fast-moving, high-ambiguity environment where priorities shift and many problems will not have a predefined path to solution. Responsibilities: • Data Analysis Expertise: Analyze structured and unstructured data related to residential real estate, property management, and credit underwriting operations to uncover and display insights that inform investment decisions., • UI and Presentation Design: Create and support data visualizations via PowerPoint, Python, Tableau, PowerBI., • Strategic Problem Translation: Translate business scenarios and investment ideas into succinct data problems by identifying and analyzing key drivers. Seamlessly align business objectives with appropriate cost functions, demonstrating an acute understanding of available data nuances., • End-to-End Project Ownership: Manage the end-to-end delivery of success criteria, data, algorithms, statistical models, and reporting tools. You will be expected to engage from project inception and work with relevant parties to collect, analyze, and output analysis / models for broad consumption. Work collaboratively within cross-functional teams to ensure timely and high-quality deliverables. Your adeptness will ensure efficient problem-solving and the realization of desired outcomes., • Financial Acumen Development: Demonstrate a proactive approach to expanding knowledge in investing and real estate fundamentals, leveraging analytical skills to explore market trends and financial concepts., • IT Stack Optimization: Comfortable setting up and troubleshooting data connections (e.g., Snowflake, APIs, MCPs) and partnering with IT teams to onboard new tools and systems., • Team Synergy: Collaborate seamlessly with fellow team members, lending your skills to group projects and promoting a cohesive and productive team dynamic., • Flexibility and Initiative: Thrive in a high-ambiguity environment where many assignments will be loosely defined, requiring you to independently frame the problem, identify the right approach, and drive to a conclusion without waiting to be directed. Intellectual curiosity and the habit of proactively seeking out answers on your own are essential to success in this role. Interest in AI and exploration of new analytical tools is a strong plus. Qualifications: • 1-3 years of work experience with a degree in Engineering, Computer Science, Information Systems, Data Science, Mathematics, or a related quantitative field; candidates with a business, finance, or economics background and strong demonstrated technical skills are also encouraged to apply, • Experience with Python, SQL, Git, • Experience with Azure, Snowflake, PowerBI, Fabric a plus. Otherwise, can learn in the role, • Demonstrated ability to manipulate and summarize large datasets, • Highly motivated with excellent attention to detail and organizational skills, • Strong communication skills with the ability to present findings clearly to both technical and non-technical audiences, including senior leadership; comfortable translating ambiguous asks into structured analysis and working within a collaborative team environment The base salary for this position is expected to be between $115,000.00 and $140,000.00. The base salary offered to the chosen candidate will be commensurate with a candidate’s relevant experience and other qualifications for the position, as determined by the Company in its sole discretion. In addition to base salary, this position is eligible for an annual discretionary bonus [which is often a meaningful portion of the compensation package], and a robust benefits package.

TITLE: Data & Data Governance DEPARTMENT: Data Analytics LOCATION: New York, USA FLSA STATUS: EXEMPT JOB SUMMARY Data & Data Governance reports to Chief Data and Analytics Officer. Leading Data Governance, Data quality and Data Lineage function. This role provides support to core data analyst function. CORE JOB RESPONSIBILITIES ___ Data Analysis • Performs complex analyses., • Conducts and facilitates issues identification based on in-depth analysis on various data sets to determine Route cause analysis and work with appropriate parties to remediate data issues., • Analyze raw data a across source systems and turn it into actionable insights and support business decision-making., • Provide ad-hoc analytics support., • Utilize statistical and analytical tools to identify trends, patterns, and anomalies in the data, automate testing procedures and find opportunities to eliminate manual data exchanges., • Perform data profiling of source data to assess quality and Identify opportunities to improve data quality at the source., • Work with business data owners to create Business Glossary, • Work with business data owners to identify CDE and governing data quality rules., • Document technical and business metadata., • Assess and improve data quality by identifying and addressing data discrepancies, inconsistencies, and inaccuracies., • Design and Implement data quality checks and validation processes to maintain high standards of data accuracy., • Own data delivery projects under guidance of CDAO, • Work with business take holders to understand business requirements and translate those requirements into data and technical specifications., • Work with IT and data engineering to facilitate solution and make sure the solution meet requirements., • Document data processes, data lineage, and meta data to ensure transparency and facilitate knowledge transfer within the organization., • Create and maintain artifacts for assigned data projects., • Document company data assets and contribute to data modeling., • Help with existing reporting systems. Technical Data Skills • Expert level SQL skills, • Experienced with ETL, data mapping and transformation rules., • Intermediate skills with Python and R and willingness to advance., • Knowledge and understanding of data modeling, different data modeling technics, and data warehousing., • Experience with Oracle, SQL Server, or similar RDBMS platform., • Some exposure to Big Data technologies, ApacheSpark, AWS, AWS S3, amazonGlue, cloud -based data architecture is preferred., • Understanding of data governance frameworks, policies, data cataloging, CDE, metadata and data quality, • Ability to implement and enforce data governance standards., • Excellent communication skills to convey complex data findings to both technical and non-technical stakeholders., • Bachelor’s degree in computer science, Data Science, or data engineering, • 3-5 years of experience as a Data Analyst with exposure to data governance practices., • Previous work experience in the banking or finance industry is highly desirable., • Strong analytical and problem-solving skills with the ability to translate data into actionable insights., • Meticulous attention to detail to ensure data accuracy and quality., • Curios and open to learning advanced data tools and technologies. ___ Specific duties and responsibilities may vary based upon departmental and Bank needs. Other duties may be assigned similar to the above consistent with the knowledge, skills and abilities required for the position.

We’re a startup with big ambitions: to make estate planning modern, visual, and intelligent. ___ is the first AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations. Our technology unifies scenario modeling, client visualization, and document creation into one seamless, digital experience. Our team brings together diverse subject matter expertise across estate planning, wealth management, and scaling SaaS startups. We’re distributed across the U.S., with a mix of fully remote and hybrid roles, and we embrace flexibility while staying closely connected. At Vanilla, you’ll join curious builders and problem-solvers who thrive on speed, autonomy, and impact. Here, you won’t just join a company, you’ll help create it. If you’re excited to tackle hard problems, move quickly, and see your work shape both an industry and a growing startup, we’d love to meet you. Job Summary Vanilla is seeking a Senior Software Engineer - AI Applications with a strong background in software development, data science, machine learning, and artificial intelligence. You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineering skills will come into play here as you’ll take ownership in constructing services to ingest structured results. If you’re a proactive problem-solver who lives to disrupt archaic processes with cutting-edge technology, this is the job for you. As a Senior Software Engineer, you will work collaboratively with engineering and subject matter experts to find innovative and disruptive uses of AI to streamline (or replace) workflows. Responsibilities * Machine learning and AI: You are passionate and knowledgeable about the current and future state of AI. * You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineer skills will come into play here as you'll take ownership in constructing services to ingest results. * You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights. * You can drive technical vision and leverage open source technologies and cloud services to build an AI/ML platform. * You can build tooling to support model training, evaluation, inference serving, monitoring and alerting. * You want to use the latest ML frameworks and open source tools to develop new model training pipelines. * Hands On Coding: You have direct experience with software engineering and are familiar with modern languages like Python, Javascript, Go, Rust * You have experience building microservices and understand the tradeoffs of the approach. * Data handling: You can identify, extract, transform, and load data from disparate sources into a centralized system. You are able to normalize, cleanse, and validate this data. * Database management: You are able to design and implement schemas, optimize queries, and manage database performance. * Project management: You must be an effective self-organizer: prioritize tasks, manage resources, and communicate effectively with non-technical stakeholders. * Collaboration: We are one team. You must be able to collaborate with engineers, subject matter experts, product managers, and designers to ensure the success of projects. Qualifications * Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. * 6+ years relevant work experience. * Proficiency in, at least, one modern programming language such as Python or Javascript. * Experience building commercial SaaS solutions. * Experience integrating with backend services, and APIs. * Experience with OpenAI, Anthropic, or similar for both chat and API interfaces. * Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation. * Experience with tuning AI performance and scalability of AI infrastructure. * Preferred experience with AI observability, monitoring, and signaling with tools such as LangChain or LangGraph. * Experienced with LLM orchestration tooling and decision frameworks. * Experience or exposure building agentic capabilities and workflows. * Experience or exposure to evaluation testing frameworks. * Exceptional candidates will have direct experience with RAG for tuning LLMs. * Experience with API design and accessing data from external sources. * Ability to effectively articulate technical challenges and solutions. * Deal well with ambiguous/undefined problems; ability to think abstractly. * Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. * Candidates must be legally authorized to work in the United States without the need for sponsorship now or in the future. Vanilla is unable to provide visa sponsorship at this time. You Might Be a Great Fit If: * You have hands-on experience with AI and Large Language Models (LLMs). You’ve worked with OpenAI, GPT models, or other similar technologies and have integrated them into real-world applications. * You are a critically thinking software engineer. You have built and maintained scalable microservices and understand the tradeoffs of this architecture. * You can build AI-powered applications with high accuracy. You understand the challenges of AI implementation and know how to optimize models, fine-tune them, and create efficient pipelines for training, evaluation, and deployment. * You are a problem-solver and innovator. You love tackling undefined, ambiguous problems and applying AI to disrupt outdated processes. You’re excited about revolutionizing estate planning with cutting-edge technology. You May Not Be a Great Fit If: * You are primarily a data scientist or ML researcher, rather than a software engineer. While AI and machine learning are key components of this role, we need a strong application developer first. You should be comfortable building production-ready software, integrating AI models into applications, designing APIs, and working with databases. If your experience is mostly in research, data modeling, or experimentation without deploying AI-driven applications, this may not be the right fit. * You prefer working in highly structured, slow-moving environments. At Vanilla, we move fast and iterate quickly. The salary range for this role is $160,000 to $190,000. Our compensation packages also include a performance based bonus and equity. Compensation is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. * Flexible paid time off policy and 10 company-wide paid holidays * Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents * Medical, dental, and vision benefits coverage for employees and their families * 401K eligibility after one month of employment * Free estate planning documents * Budget for learning & development and home office setup * Paid parking or transit for hybrid and in office employees Vanilla Technologies Inc. (dba "Vanilla") 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Vanilla participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

The Enterprise Architect, AI and Platform Engineering is responsible for defining, governing, and evolving EDETEK’s end-to-end enterprise architecture across AI, data, platform engineering, and product ecosystems. This role provides architectural leadership and technical direction to ensure that all platforms, products, and shared services align with business strategy, regulatory requirements, and long-term scalability goals. This individual will serve as the architectural authority across AI, cloud, data, and application domains, ensuring coherence across product lines while enabling innovation and rapid delivery. The ideal candidate brings strong experience in enterprise and solution architecture within regulated life sciences environments, with hands-on exposure to AI-enabled platforms and cloud-native systems. 1. Enterprise Architecture Strategy and Governance • Define and maintain the enterprise architecture vision across applications, platforms, data, and AI capabilities., • Establish architectural principles, standards, and reference architectures that guide AI and platform engineering initiatives., • Ensure alignment between business strategy, product roadmaps, and technology investments., • Lead architectural governance, reviewing designs for compliance, scalability, security, and maintainability. 2. AI and Platform Architecture Oversight • Provide architectural oversight for AI platforms, data pipelines, and machine learning lifecycle components., • Define target architectures for AI enablement, including data ingestion, feature management, model training, inference, deployment, and monitoring., • Partner with AI, data science, and platform engineering leaders to ensure consistency across MLOps, data platforms, and shared services., • Guide adoption of modern architectural patterns including microservices, event-driven systems, service mesh, and API-first platforms. 3. Cloud, Data, and Integration Architecture • Define cloud architecture standards for AWS-based SaaS platforms, including networking, identity, access management, security, resiliency, and disaster recovery., • Architect enterprise-scale data platforms supporting analytics, reporting, and AI workloads., • Establish integration and interoperability patterns across internal platforms, partner systems, and customer environments., • Ensure architectural decisions balance scalability, performance, cost optimization, and operational excellence. 4. Product and Engineering Alignment • Partner closely with Product Management, Platform Engineering, and Delivery teams to translate product requirements into scalable, reusable architectures., • Ensure architectural consistency and reuse across multiple products and shared services., • Support solution architecture for strategic customer initiatives and complex enterprise deployments., • Influence build versus buy decisions for platforms, tools, cloud services, and AI capabilities. 5. Compliance, Security, and Quality Architecture • Ensure enterprise architectures comply with regulatory and quality standards including 21 CFR Part 11, GxP, HIPAA where applicable, and global data privacy requirements., • Embed security, auditability, validation, and traceability principles into architectural standards and solution designs., • Support responsible AI practices by ensuring governance, explainability, and model traceability are addressed at the architectural level., • Work closely with security, QA, and compliance leaders to maintain audit-ready platforms. 6. Technology Roadmapping and Thought Leadership • Maintain multi-year enterprise architecture roadmaps aligned with EDETEK’s growth and product strategy., • Evaluate emerging technologies across AI, cloud, data platforms, and developer tooling for relevance, risk, and ROI., • Act as a trusted architectural advisor to executive leadership and senior stakeholders., • Mentor enterprise, solution, and platform architects across the organization., • 12 plus years of experience in enterprise architecture, solution architecture, or large-scale platform architecture roles., • Strong experience in Life Sciences, particularly Clinical Development, R&D, or regulated healthcare and clinical data environments., • Proven expertise in designing and governing cloud-native architectures on AWS at enterprise scale., • Experience architecting AI-enabled, data-intensive, or analytics-driven platforms deployed in production., • Strong understanding of distributed systems, integration patterns, data architecture, and security architecture., • Experience working with product and engineering teams operating in agile delivery models., • Bachelor's or Master's degree in computer science, Engineering, or a related field., • AWS Advanced AI and general certifications, • Experience defining and governing MLOps and AI platform architectures., • Familiarity with clinical data standards such as CDISC and regulated software validation practices., • Hands-on technical background with technologies such as Python, Java, .NET, Spark, PostgreSQL, and AWS-native services., • Experience with enterprise integration platforms, API management, and event streaming technologies., • Prior experience serving as an architectural review board member or design authority., • Shape the enterprise architecture that underpins AI-powered clinical and R&D platforms at scale., • Influence how AI, data, and cloud technologies are applied responsibly across regulated life sciences environments., • Partner closely with executive leadership on long-term technology and platform strategy., • Choice of comprehensive Medical, Vision and Dental Insurance plans, • Paid vacation time and sick days, • Corporate holidays annually, • Participation in the 401K Plan, • Comprehensive perks and discount programs for AAA, wholesale, insurance, Rx, fitness, pets, entertainment, etc., • Health Advocate and Employee Assistance Program

About Us: Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most. With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life. Engineering at Gametime You will be a key contributor to the Engineering team responsible for building and maintaining the client-side applications and backend systems that power the Gametime experience for millions of users. We empower engineers to take full ownership of their code and foster a culture grounded in testing, code reviews, observability, experimentation, and operational excellence. At Gametime, we value collaboration, inclusivity, and the strength of diverse perspectives — creating an environment where people love to build together. We are also investing deeply in the future of AI. This includes building internal tools and workflows powered by AI, incorporating agentic systems into our backend architecture, and preparing our marketplace and infrastructure to be AI-ready. Engineers are encouraged to explore and adopt AI capabilities in their development process, and those who contribute to advancing AI adoption within our stack will play a key role in shaping that evolution. The Role We are seeking an experienced Senior Backend Software Engineer to join the Core E-Commerce Platform team. This team is responsible for the technology and systems that power the Payment, Fraud, and Account Management domains of the Gametime marketplace. This is a senior individual contributor (IC3) position for engineers who demonstrate strong technical ownership within their team, contribute to key projects, and support engineering excellence through thoughtful implementation and collaboration. You will collaborate closely with Engineering, Product, Design, Data, and business stakeholders to shape the future of our platform. Key Responsibilities: • Design and implement high-performance Golang microservices for e-commerce checkout, account management, and fraud mitigation., • Take ownership of components and features within backend systems, ensuring reliability, scalability, and maintainability., • Build, test, monitor, and maintain critical integrations and infrastructure., • Develop and support robust internal and external APIs with high throughput and low latency requirements., • Collaborate closely with Product, Design, and Data teams to deliver technical solutions aligned with user and business goals., • Participate in code reviews, share knowledge with teammates, and uphold engineering best practices., • Drive projects from implementation to production deployment with a focus on quality and operational readiness., • Contribute to ongoing improvements in system performance, observability, and CI/CD workflows., • Explore and help implement AI-powered capabilities within our systems and workflows, including agentic tools and intelligent automation., • Support a collaborative, inclusive engineering culture through thoughtful communication and continuous improvement. Key Competencies: • Backend Development: Proficiency in building reliable backend systems using Golang (or Python, Ruby, Java, C++, C#, Rust, Scala, etc.)., • System Design: Experience developing distributed systems with a focus on performance, reliability, and maintainability., • AI Fluency: Familiarity with using AI tools (e.g.,Cursor, Claude, ChatGPT) or contributing to AI-powered systems is a plus., • Working Familiarity with: OIDC Authentication (Google, Apple SSO), E-Commerce Fraud Prevention, Payment Service Provider Integrations (Stripe), • API Development: Capable of designing and maintaining well-structured internal and external APIs., • Cloud Infrastructure: Familiarity with AWS, Google Cloud, or Azure and infrastructure-as-code practices., • Event-Driven Systems: Experience working with messaging systems like Kafka, RabbitMQ, or similar., • Databases: Solid experience with relational databases (e.g. PostgreSQL, MySQL) and NoSQL technologies (e.g. MongoDB, DynamoDB)., • Team Collaboration: Works effectively with cross-functional partners to deliver reliable solutions and shares knowledge through code reviews and discussion. Minimum Qualifications • Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Experience: 5+ years in software engineering. At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range $164,467 - $193,491 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: ___ The Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now? As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach. You will... • Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization., • Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc., • Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc., • Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time., • Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline., • Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World (our simulation platform) and on physical test tracks. Qualifications: • BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum for 5 years of industry experience., • Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping)., • Proven experience building and optimizing online and/or offline Simultaneous Localization and Mapping (SLAM) systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP)., • Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.)., • Exceptional systems-level programming skills in modern C++ and/or Rust, with a strong understanding of memory management, concurrency, and real-time computing constraints., • Proficiency in python for data analysis, prototyping, and tooling., • Strong mathematical foundation in linear algebra, calculus, and probability theory., • A proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles operating in the real world. Bonus/nice to have: • Familiarity with industry-standard optimization libraries (e.g., GTSAM, Ceres Solver, g2o)., • Experience with "learned localization" - applying deep learning and AI/ML models to improve traditional state estimation and feature matching.

About Lyra Health Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally. The company has delivered 13 million sessions of mental health care, published more than 20 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role: We’re looking for an exceptional Sr. Fullstack Software Engineer to join our team. We care deeply about making a difference in people’s lives and hope you do too! Remote candidates must be physically located within the United States. • Take ownership of the full-stack development process, from designing backend APIs to implementing the frontend components that will consume them, • Create lasting impact by building and continuously improving our Python and Java-based microservices, • Work with fellow engineering team members to collaboratively create and refine technical designs and solutions, • Collaborate with key partners including data science, product management, design, and behavioral health specialists, • Follow and promote best practices during all phases of software development, adhering to the highest quality and securitystandards, • Drive continuous technical improvement for our platforms and tooling, • Bachelor’s degree in Computer Science or related technical field, • 6+ years of experience developing enterprise or consumer web applications, • Relevant professional experience building scalable back-end services and APIs using Python and/or Java/Spring, • Relevant professional experience developing web applications with ___ and React Native, • Experience with TypeScript, Amazon web service and state-management libraries like Redux preferred

Our software engineers at Epistemix show a clear passion for quality and love to bring software to life. You are energized by the idea of building something new and want to work on problems that matter. In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and strive to produce simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. Epistemix helps organizations forecast outcomes and manage risk by modeling how people behave. Our platform consists of two core products: Populus, which provides access to realistic, high-resolution synthetic population data, and Polaris, which enables scenario planning through advanced data science and simulation. Together, they empower customers to evaluate the potential impact of strategies before deploying them in the real world. Organizations across healthcare, consumer industries, insurance, and government use Epistemix to reduce uncertainty, optimize decisions, and accelerate time to value. Whether estimating total addressable market, testing public health interventions, or forecasting behavior change, our tools help teams make confident decisions when pre-existing data may not exist. Leading up to our Series B financing, we are hiring key roles onto the team and entering an exciting phase of growth and innovation. Join us to combine cutting-edge technology with a purpose-driven mission to make the world a better place. As a Senior Back-End Software Engineer, you will be at the forefront of our product's evolution. Your key responsibilities will include: * Design, develop, and maintain clean, testable, and highly maintainable code, ensuring top-tier performance and reliability. * From initial requirements gathering to deployment and ongoing maintenance, take full ownership of the software development lifecycle, ensuring seamless delivery and operation. * Design, build, test and deploy a highly scalable and resilient system architecture that supports current needs and future growth. * Define the technical direction for engineering solutions, actively collaborating with internal teams to ensure technological advancements are perfectly aligned with the company's strategic goals. * Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience * 7+ years of back-end software development experience,with a significant portion in a senior role. * Expert proficiency in Python, particularly with FastAPI. * Strong experience with TypeScript for backend development (Node.js/NestJS experience is a plus). * Deep hands-on experience with AWS cloud services, including but not limited to EC2, EKS, Lambda, S3, RDS, DynamoDB, SQS, SNS, CloudWatch, and IAM. * Proven experience designing, building, and operating microservices architectures. * Extensive experience with Kubernetes for container orchestration. * Expertise in Infrastructure as Code (IaC) using Terraform. * Hands-on experience with Atlantis for Terraform pull request automation. * Demonstrated experience or strong understanding of data science orchestration platforms, such as ___. * Solid understanding of relational and NoSQL databases, including advanced querying, optimization, and data modeling. * Experience with API design principles (RESTful, GraphQL) and security best practices (OAuth2, JWT). * Strong understanding of distributed systems concepts, asynchronous processing, and message queues. * Experience with CI/CD pipelines and tools (e.g., GitHub Actions, Jenkins). * Strong communication and interpersonal skills, with the ability to articulate complex technical concepts clearly. * Ability to work effectively in a fast-paced, agile environment. By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include: * Equity & Incentives – Participation in our stock option program. * Flexible Time Off – Autonomy to manage your schedule and work-life balance. * Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees). * Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference. This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.

About Us Propel is on a mission to build technology that strengthens the social safety net. We’re a passionate team of ~100 Propellers who envision a future where every American has the tools and resources they need to thrive. The Role Are you a Senior Fullstack Engineer looking to build 0→1 products at a mission-driven company? Do you enjoy creating consumer-grade experiences and thrive in high-autonomy startup environments? We’re looking for a motivated Senior Fullstack Engineer to join Propel and help build new Medicare and Medicaid products from the ground up. In this role, you’ll work end-to-end across frontend and backend systems to develop user experiences that help people understand coverage options, surface savings opportunities, and enroll in healthcare plans. You’ll collaborate closely with product and design, and help shape technical architecture, internal tooling, and scalable integrations with healthcare and government systems. AEP schedule note: This role experiences a predictable work spike from September through early December during the Medicare Annual Enrollment Period (AEP). During this window, there’s less flexibility in work schedules and a higher urgency to support launches and reliability. Outside of AEP, the team operates with significantly more flexibility. What we offer: • An engineering culture that is humble, motivated, and collaborative, • Consistent knowledge sharing through projects or bugs demos, Lunch & Learn presentations, and documentation, • A people-first approach to management where we value engineers’ voices, support career development, and offer opportunities for technical growth that interest you, • Meaningful work and a strong shared sense of mission, • A remote-first working environment. Our headquarters is in Brooklyn and we have a co-working monthly stipend for employees outside of NYC. We're currently accepting applications from the states we have an established entity, which includes California, Colorado, District of Columbia, Florida, Georgia, Illinois, Maryland, Massachusetts, New Jersey, New York, Oregon, Pennsylvania, Texas, Virginia, and Washington., • 20 Days of PTO, • 4% 401K match, • $10k lifetime spend towards Carrot Fertility, • Excellent Medical, Dental and Vision options, • Fair, equitable, and competitive salaries. Propel believes that everyone should be compensated fairly and equitably. We set our salary ranges using compensation data from hundreds of NYC based startups at our stage. Additionally, pay is not determined based on location. The salary range for this position is $165,000 - $230,000 depending on experience and interview performance. Equity and excellent benefits come with this position as well! What you will do: • Build software systems used by millions of low-income Americans, helping to put dollars back in their pockets, • Build iOS and Android apps using Vue + TypeScript + Capacitor, • Develop significant server-side software using Python and Flask, backed by Postgres and Redis; leverage AWS offerings as well as other open source technologies, • Create software that is reliable, scalable, and maintainable, • Effectively communicate with team members during projects, code review, etc., • Contribute to building our engineering culture and processes as we continue to scale, • Collaborate on deciding on the right projects, building great solutions, and helping your team succeed, • Work with our Product and Design team to scope projects and execute on innovative products, • Participate in our on-call rotation What you have: • 5+ years of experience designing, building, shipping, and maintaining complex full-stack software, • Experience with a startup environment or the ability to operate effectively when faced with ambiguity, • Excitement to dive deep into our codebase and product ecosystem to contribute to large and impactful projects, • Strong communication skills across technical and non-technical audiences and topics, • Eagerness to learn and actively contribute to team discussions, design doc reviews, and code reviews, • Computer science degree or equivalent fundamentals learned elsewhere, • Fluency in Python and JavaScript or a willingness to learn and specialize in these languages, • Passion for making a difference in the lives of our users, • Nice to have: Experience with or knowledge of government services, particularly safety net services like SNAP, WIC, TANF, SSI, SSDI, Medicaid, Section 8 Additional Considerations: • We are committed to building a diverse and inclusive team, and welcome applicants from all backgrounds and abilities., • We're currently accepting applications from the states we have an established entity, which includes California, Colorado, District of Columbia, Florida, Georgia, Illinois, Maryland, Massachusetts, New Jersey, New York, Oregon, Pennsylvania, Texas, Virginia, and Washington., • Background Check Requirement: For roles with access to confidential employee or customer information, a background check may be conducted following a conditional offer. All background checks are handled in accordance with applicable laws, including the Fair Credit Reporting Act (FCRA). More About Propel Propel is a technology company that’s strengthening the social safety net for people who receive government benefits. Over 5 million Americans trust the free, modern Propel app to manage their government benefits, save money, and get updates when their benefits change. We’ve also partnered with renowned institutions and organizations like Vote.org, GoFundMe, and GiveDirectly. Propel is a for-profit, venture-backed company that holds its social mission at its core. We're proud to be supported by a blend of nonprofits, impact investors, and world-class investors, including the Robin Hood Foundation, Andreessen Horowitz, Nyca Partners, Financial Health Network, JPMorganChase, Kevin Durant, Serena Williams, and Nas. Learn more about our impact from the press Join us, and let's build something amazing together!

Location: US (East & Central Time Zones) Entry-level data engineers at Thoughtworks partner with senior developers to build, maintain, and test data applications on different projects. They listen thoughtfully to understand the context of a business problem and write clean and iterative code to deliver a powerful end result. They are passionate about the data world and want to learn using the latest tools, frameworks, and offerings. Our entry-level consultants start their careers with the First Year Experience, our year-long program beginning at Thoughtworks University with a three-week immersive training, followed by monthly sessions on specific topics. We value tech talent from diverse backgrounds. Whether you are a computer science major with under a year of experience, a coding boot camp graduate, or a career changer aiming to become a seasoned data engineer, join our passionate technologist community and seize the opportunity to grow. Work Authorization: You must be authorized to work in the United States on a full-time basis without the need for employer sponsorship now or in the future. Thoughtworks will not offer employment to F-1 (student) visa holders who require employer sponsorship in the future or who cannot work full-time at the time of application • You will pair to write clean and iterative code using the best practices in a pair programming environment., • You will collaborate with fellow team members to build data processing pipelines, addressing clients' challenges., • You will learn and apply the latest Big Data technology and data engineering practices to solve client problems., • You will learn and use continuous delivery practices to improve software delivery., • You will work in collaborative, cross functional teams to build innovative customer experiences and create meaningful change for a variety of clients., • You will learn to incorporate data quality into your day-to-day work as well as the delivery process., • You will collaborate within Thoughtworks’ teams as well as with client’s teams, encouraging open communication and advocating for shared outcomes., • You have a strong foundational knowledge of Python and understand OO concepts., • You understand analysis, coding and object-oriented concepts., • You have basic conceptual understanding of data modeling., • You have awareness of clean-code concepts and practices., • Conceptual knowledge of or exposure to cloud data platforms like Snowflake or Databricks is a plus., • You have working knowledge of writing and optimizing SQL queries., • You thrive in a collaborative, flat environment that values transparency, openness, feedback and change., • You have a passion for learning and sharing knowledge as well as a desire to create meaningful solutions for business problems., • You are resilient in ambiguous situations and can approach challenges from multiple perspective. There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full ___. Thoughtworks is an equal-opportunity employer. We are committed to providing equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable federal, state, or local law. We prohibit discrimination and harassment of any kind and are dedicated to providing a work environment free from discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, stermination, layoff, recall, transfer, leaves of absence, compensation, and training. Thoughtworks is also an affirmative action employer of veterans and individuals with disabilities. For additional information, please see the ___. Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment in the United States. Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law. If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by ___ or speaking with your recruiter. Requests may be made at any stage of the application or interview process. Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements. Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process. As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Remote Benefits: The annual salary range posted is subject to many factors and may vary depending on experience, geographic location, job responsibilities, performance, skills and/or training. Salary $83,000 - $88,000 USD

ABOUT THE TEAM Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy LLMs into production with measurable impact. We provide the core infrastructure to tune, evaluate, and serve specialised models at scale — pioneering task-specific LLM development and running production-ready workflows that serve millions of requests while optimising for both cost and performance across distributed systems. Our tightly-knit team was previously involved in the creation of state-of-the-art open-access large language models. We raised a $20M seed led by Index Ventures and ICONIQ in early 2024, and we’re already live in production with customers including Manulife, AT&T, and Deloitte, across travel and financial services — with much more to be announced soon. ABOUT THE ROLE We’re looking for a Customer Success Engineer to be the technical backbone of our customer relationships — from the first technical conversation through to long-term production success. Based in New York City, you’ll operate across the full customer lifecycle: deep enough technically to win enterprise deals in pre-sales, and commercially minded enough to grow and retain the accounts you help land. The best people in this kind of role run rigorous discovery, design architectures that solve real business problems, and earn the kind of trust that makes customers come back for every major decision. You won’t just hand off after a deal closes. You’ll stay embedded: owning deployment success, driving adoption, and becoming the trusted technical advisor your customers rely on in production. The role suits someone who has operated at the intersection of Solutions Engineering and Customer Success before, or a strong Solutions Architect ready to own the full arc of customer value. WHAT YOU’LL DO Pre-Sales * Lead customer-facing workload planning — understanding model usage patterns, expected throughput, and infrastructure constraints to scope solutions accurately from day one. * Own solution architecture in the sales cycle: infra selection, TCO calculation, and performance benchmarking tailored to each prospect’s environment and LLM workloads. * Design and deliver compelling technical demos and proof-of-concept implementations that map Adaptive ML’s capabilities directly to customer pain points and existing infrastructure. * Respond to technical evaluations, RFPs, and security reviews; go deep with engineering and data science counterparts on architecture decisions and integration requirements. * Partner with Account Executives to shape deal strategy, accelerate procurement timelines, and remove technical blockers standing between a prospect and a signed contract. Post-Sales * Own technical onboarding end-to-end — designing integration architectures, working directly with customer engineering teams, and driving time-to-first-value. * Support and continuously optimise live deployments: cost optimisation, performance tuning, and workload expansion across multi-geo and multi-team customer environments. * Be the escalation point for production issues — investigating and debugging problems spanning k8s deployments, Helm configurations, model serving infrastructure, and distributed systems. * Drive workload expansion proactively: surface new use cases, additional model workflows, and untapped product capabilities that create value across your account portfolio. * Conduct regular technical and business reviews with customer stakeholders, translating infrastructure metrics into business impact and building the case for renewal and growth. Internal & Cross-Functional * Build reusable technical assets — reference architectures, integration guides, runbooks, and demo environments — that scale knowledge and accelerate future deals. * Act as the voice of the customer internally: channel field insights directly to Product and Engineering to shape the roadmap and prioritisation. * Contribute to infra sizing and workload planning discussions alongside Solutions and DevOps colleagues, with particular focus on the NA region (NYC/Toronto coverage). YOUR (IDEAL) BACKGROUND We encourage candidates to apply even if their experience doesn’t match every point below. Experience * 3–6+ years in a customer-facing technical role — Solutions Engineer, Solutions Architect, Customer Success Engineer, or Technical Account Manager — ideally in B2B SaaS, cloud, or infrastructure. * Proven ability to operate across both pre-sales and post-sales: you’re as comfortable running a technical architecture review for a VP of Engineering as you are debugging a production incident with a DevOps team. * Track record with enterprise customers in complex technical environments — multi-stakeholder deals, long sales cycles, and durable post-sale technical relationships. * Demonstrable outcomes: successful deployments, adoption growth, expansion revenue, or strong renewal rates. You own the result, not just the activity. * Experience at a fast-growth or early-stage company is a strong plus — you know what it takes to build things from scratch under pressure. Technical Skills * Strong infrastructure instincts: you can confidently size GPU and storage requirements, reason about TCO trade-offs, and produce architecture diagrams that a CTO would trust. * Skilled at architecture design — you can whiteboard a solution live, document it clearly, and defend design decisions with technical rigour. * Hands-on with Kubernetes (k8s): you can investigate deployment issues, read and edit Helm charts, and navigate distributed systems problems in production environments. * Python proficiency — enough to build proof-of-concepts, write integration scripts, and benchmark model performance against real customer workloads. * Familiarity with ML infrastructure concepts: model serving, LLM fine-tuning, inference optimisation, and the operational realities of running models at scale is a strong plus. * Comfortable working alongside DevOps and SRE teams; you understand their tooling, constraints, and language. The Right Profile * You ask sharp discovery questions, design clean solutions, and earn trust through genuine expertise rather than commercial polish. * Strong communicator across audiences — you can simplify a complex distributed architecture for a CFO and go deep on inference latency with a staff ML engineer in the same afternoon. * You own outcomes. In fast-moving, ambiguous environments you figure out what matters and act — you don’t wait for a brief. * Genuine curiosity about generative AI and LLMs. The technology you’re selling and supporting moves fast; intellectual interest in the space makes a real difference. * Based in New York City, comfortable in the NA time zone for customer-facing coverage. BENEFITS * Comprehensive medical (health, dental, and vision) insurance. * 401(k) plan with 4% matching. * Unlimited PTO — we strongly encourage at least 5 weeks each year. * Mental health, wellness, and personal development stipends. * Visa sponsorship available if required.

Location: Remote Clearance: Active DoD Secret clearance required Employment Type: Full-Time (W-2) Citizenship: U.S. Citizenship required IntelliTech is seeking a Tech Lead / Full-Stack Engineer to serve as the technical anchor on a high-visibility Department of War program focused on operationalizing a Government-owned digital twin application for ammunition industrial base readiness. This role will lead the modernization of an existing Python / React web application from a single-host prototype into a production-aligned, containerized platform deployed in an Army cloud environment. This is a hands-on technical leadership role. The ideal candidate will write production code daily, own architecture decisions, drive sprint execution, and serve as a primary technical interface with Government stakeholders. This individual will work closely with other senior engineers across data/AI and platform/DevSecOps functions on a lean team where every engineer is expected to ship high-quality production code. Technical Leadership • Own overall application architecture and drive technical decisions across frontend, backend, simulation, and data tiers., • Lead sprint planning, backlog refinement, and technical prioritization in coordination with project leadership., • Conduct code reviews and enforce standards for code quality, testing, documentation, and maintainability., • Serve as a primary technical point of contact for Government engineering and product stakeholders., • Modernize and extend a Python FastAPI backend serving as the application control plane for data operations, scenario lifecycle management, and AI orchestration., • Decouple the SimPy discrete-event simulation engine from the API tier into independently scalable worker containers., • Design and implement run request queueing, worker orchestration, and result persistence patterns., • Build governed ingestion workflows, including validation services for schema enforcement, referential integrity, circular reference detection, and business-rule validation with actionable user-facing feedback., • Implement dataset versioning, lineage tracking, and run-level traceability linking scenario outputs to explicit input versions., • Build version-bounded caching strategies for validated inputs, run-ready artifacts, and comparison outputs., • Extend and maintain a React / TypeScript frontend using Material UI, Recharts, and data-grid-based visualizations., • Build user workflows for AI-assisted scenario Q&A, guided scenario generation with analyst review and approval, and brief-ready output presentation., • Implement upload validation feedback, dataset versioning interfaces, and scenario comparison views., • Design and implement the AI integration layer brokering access between the application backend and a Government-approved hosted LLM endpoint., • Build scoped retrieval logic constraining AI context to approved run artifacts, simulation outputs, and post-processed metrics., • Implement guided scenario generation that converts user intent into structured JSON configurations for analyst review before execution., • Implement function-calling and tool-use patterns that enable the LLM to query live scenario data through backend APIs., • Instrument the application pipeline to capture timing, bottleneck, concurrency, and throughput metrics., • Design and execute integration testing across frontend, backend, database, object storage, cache, and worker services., • Benchmark throughput and performance improvements against established baselines., • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 8+ years of relevant experience; or Master’s degree in a related field and 6+ years of relevant experience., • Active DoD Secret clearance., • 8+ years of professional software engineering experience., • Strong hands-on Python backend development experience, including FastAPI or Flask, asynchronous patterns, REST API design, and data processing with Pandas and NumPy., • Strong React / TypeScript frontend development experience, including React 18+, component architecture, state management, and modern UI frameworks such as Material UI., • Experience with containerized architectures, including Docker and orchestration concepts such as Kubernetes, ECS, or EKS., • Experience with MongoDB or other document-oriented databases, including schema design, query optimization, and async drivers., • Experience integrating LLM APIs such as OpenAI, Anthropic, or equivalent platforms, including function calling, tool-use patterns, and prompt engineering for structured outputs., • Experience building and maintaining production-grade applications in cloud-based environments, preferably AWS., • Experience leading technical execution across multiple application layers in a complex engineering environment., • Experience supporting DoD or federal Government programs., • Strong communication skills and the ability to work directly with technical and non-technical stakeholders., • Experience with SimPy or other discrete-event simulation frameworks., • Experience with defense supply chain, logistics, manufacturing, or industrial base mission domains., • Experience leading small engineering teams on Agile Government contracts., • Experience with Amazon DocumentDB, Redis / ElastiCache, Amazon S3, and Army or AWS cloud environments., • Familiarity with munitions industrial base concepts such as BOM structures, production lines, CAGE codes, and surge planning., • Experience building decision-support, simulation, or analytics applications for Government analysts., • Experience with Terraform, Helm, CI/CD pipelines, and production container deployment patterns., • Prior experience supporting Army logistics, manufacturing, or modernization programs., • Backend: Python 3.11+, FastAPI, SimPy, Pandas, NumPy, Pandera, Motor (async MongoDB), • Frontend: React, TypeScript, Material UI, Zustand, Recharts, MUI X Data Grid, • Database: MongoDB / Amazon DocumentDB, • Cache: Redis / Amazon ElastiCache, • Storage: Amazon S3, • AI Integration: OpenAI API or Government-approved hosted LLM endpoint, function calling, scoped retrieval, • Infrastructure: Docker, EKS / ECS, Helm, Terraform, • CI/CD: GitLab CI, GitHub Actions, or Government-approved pipeline tooling Candidates should be prepared to discuss: • systems or applications they have built from scratch across backend and frontend layers, • their experience leading architecture and technical implementation decisions, • how they have modernized or productionized prototype applications, • their experience with Python, React, containerized deployment, and cloud-native architectures, • their experience integrating AI capabilities into operational applications IntelliTech provides a comprehensive benefits package designed to support employees’ well-being and professional growth, including health insurance, dental insurance, and vision insurance, a 401(k), paid time off, professional development opportunities, and flexible work arrangements to support work-life balance. IntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. Our mission is to empower government and commercial clients to solve complex technical challenges through practical, innovative, and mission-focused engineering solutions. At IntelliTech, we are committed to building a diverse and inclusive workplace. We believe that a variety of perspectives and backgrounds leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply.

Camgian is seeking a Senior Software Engineer who will lead the development of software frameworks and applications through architecture, design, implementation, testing and documentation. The successful candidate will lead or support various project tasks, organize, schedule and task team activities. As a senior engineer you will influence engineering design and software development, supervise other software engineers, and act as a mentor and technical resource. Qualifications * Bachelor’s degree in Computer Science, Software Engineering or Computer Engineering * Proficiency in Java, JavaScript, Python, C++, Golang, SQL, Linux * Experience with UI/UX design and development * Experience in DevOps tools (Jira, Git, Jenkins, Artifactory) * Experience in Software Development Life Cycle Processes and Agile Methodologies * 5+ years of software development experience * United States Citizenship Desired Skills * Master’s degree in Computer Science, Software Engineering or Computer Engineering * Experience in Backend design, development, and integration * Experience in Software architectures, Data frameworks and Security * Understanding of Secure Communications and Message Delivery Tools * Production deployment of Machine Learning (ML) models Responsibilities * Lead software development projects to meet customer/product requirements ensuring high quality through unit, functional, integration, and regression testing * Document architecture, design, test plan and user guide * Deploy software applications to production * Participate in design reviews and present your work to the company * Track project/product milestones and releases ensuring schedule and budget are met * Train & mentor junior engineers, perform architecture, design and code reviews * Lead continuous process and productivity improvements in the team * Engage in professional development activities to enhance your skillset Exceptional work ethic, willingness to learn, tenacity not to quit, aptitude to surpass, and strong desire to work in a fast-paced environment are necessary for success. Collaboration and cross pollination with other teams will be frequent; thus communication, openness, and willingness to share both success and failure is a must. We are a team-centric organization, there are no individuals, we win and lose together. Camgian offers a competitive salary, fun work environment, fringe benefits, and an equity opportunity. Camgian Culture and Core Value Traits * Ability to work as part of a team while maintaining independent thinking * Self-driven and self-starter in addition to excellent communication skills * Thinking outside the box and an aptitude for innovation and problem solving * Always willing to explore the other side of fear, be challenged and to crave cutting edge technologies

At Scale AI, we help leading enterprises turn AI from a promising capability into reliable systems that improve real workflows and deliver measurable business value. We are hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment. This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production. In many cases, the data scientist builds the first usable version of the solution, proves value quickly, and helps drive it into a durable product or platform capability. The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions. • Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria, • Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans, • Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems, • Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration, • Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations, • Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement, • Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline, • Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production, • Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities, • 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role, • Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact, • Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans, • Strong foundation in statistics, experimentation, causal reasoning, and measurement, • Experience building tools or products, not just analyses - for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications, • Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work, • Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly, • Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives, • High ownership and bias toward shipping in fast-moving environments with incomplete information, • Experience in a forward deployed, solutions, consulting, or other client-facing technical role, • Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, • Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, • Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, • Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, • Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$167,200—$209,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. 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.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. What you'll do: • Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI., • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems., • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work., • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards., • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation., • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems, • Write clean, efficient, and sustainable code, • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we're looking for: • This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs., • Ability to legally work full time (40 hours/week) from September-December 2026, • Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field, • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow), • Proficiency with AI-native engineering, including the design of agent-friendly codebases., • High degree of autonomy in learning new agent-first development tools., • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability., • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints., • Experience in research and in solving analytical problems, • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields, • Strong passion for research and for answering hard questions with research, • Meaningful Work: Contribute to projects that impact millions of users worldwide., • Mentorship: Learn from and be guided by experienced engineers and researchers in the field., • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection Information regarding the culture at Pinterest and benefits available for this position can be found___. US based applicants only The salary for this position is $12,100 monthly. #LI-HYBRID #LI-EB1 Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: As an individual contributor on the Product team, you will pay a critical role in contributing to the success of Capital Rx. The Capital Rx Product team seeks individuals who are passionate about improving the landscape of pharmacy prior authorizations, while providing superior service. The expectations for growth in this role are to push beyond the core data and reporting and to serve as an expert across all domains of Judi, our Enterprise Health Platform. Position Responsibilities: • Provide subject matter expertise support on Judi's function and reporting capabilities related to prior authorization, • Take accountability for accurate translation of reporting requirements for Capital Rx's customers, • Support analytics and reporting needs for the prior authorization team and related groups, • Own swift resolution and clear communication of critical reporting issues, • Present analysis results clearly, • Assist in testing of new Judi functionality to ensure enhancements are functioning as expected and accurately processing claims transactions, • Build key cross-functional relationships with other internal teams, • Provide virtual and in person product demonstrations, • Note: Role may periodically require meeting participation, service support or other requirements outside of standard business hours Minimum Qualifications: • Bachelor's degree, with record of strong academic performance in Computer Science, Actuarial Science, Statistics, or Economics or equivalent work experience strongly preferred, • 2+ years of proven experience in data analytics and reporting required, • 2+ years of experience in Structured Query Language (SQL) required, • 2+ years of experience with ETL or ELT preferred, • 2+ years of PBM, pharmacy, health plan, or related experience preferred, • 1+ years working with JSON or other data-exchange format tools preferred, • 1+ year of Python, R, or similar programming experience preferred, • Experience presenting analysis to clients and/or management preferred, • Proficient in Microsoft Excel, • Extremely organized, detail-oriented, and able to easily pivot priorities, • Ability to work effectively with virtual teams, • Ability to travel 5-10% This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$80,800—$101,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Global Financial Firm located in Jersey City, NJ has an immediate contract opportunity for an experienced Software Python Engineer Pay rate range: $ 87. Requirements: PhD or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field.

Senior Datacenter and Cloud Engineer Cooley is seeking a Senior Technology Datacenter and Cloud Engineer to join the DevOps team. Position summary: The Senior Data Center and Cloud Engineer ("DCE") is responsible for the firm's Datacenters and local office server rooms and is a technical expert who executes effectively on server infrastructure projects. This position will have a thorough understanding of firm technologies and systems and will be able to understand both the business and technical requirements for new products that will be engineered and implemented by the group. Position responsibilities: • Analyze system performance, modify parameters to improve throughput and effectively utilize system resources. Monitor resource usage, making required adjustments, • Participate in on-call production support activities, • Work closely with the Architecture and Engineering group as well as the Network Engineering group to provision complex infrastructure designs, for example, the design, implementation and support of VMware server infrastructure, • Monitor, maintain and ensure the regular execution of backup routines by responding to system alerts and maintaining data replication between datacenters and DR locations, • Participate in the planning, testing and execution of DR/BC procedures including failover and failback between datacenters and across the Firm's network, • Proactively create and implement procedures to prevent and reduce the severity of outages. Implement automation wherever possible, • Responsible for implementation of required hardware and/or software for all tier and affinity infrastructure, • Responsible for all aspects of the datacenternetwork including racking, cabling and power related to the infrastructure including those involving services from providers such as co-location management and carrier services, • Maintain the integrity of the servers (physical and virtual), storage systems, network and security devices and overall network infrastructure for the business unit via actively monitoring, troubleshooting, and participating in regular monthly systems patching and upgrade activities, • Responsible for identifying problem areas in a proactive way and developing solutions to meet the challenges in theDatacenter environment, • Responsible for troubleshooting and issuemanagementthroughout the datacenter and cloud systems, • Analyze business needs and the external environment to develop, scope, and enable implementation of enterprise infrastructure, • Communicate ideas through presentations, reports, and documentation, • Work with stakeholders, management, and subject matter experts to develop and implement technology strategies, • Collaborate with technology leadership in developing and maintaining a roadmap for assigned areas, • Coordinate with and participate in activities with vendors, as required, • Provide clear and grammatically correct documentation, emails, procedures, and status (both verbal and written), • Comply with all department policies, standards and procedures, • Participate in change control and change managementprocesses, • Respond to administrative requests and responsibilities in a timely manner, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 6+ years' direct applicable experience (e.g., system administration with advanced systems engineering), • Enterprise architecture expertise for both collocated and cloud datacenters, • Experience with Hyperscalers, specifically Azure and AWS, • Bachelor's or master's degree in computer science or related discipline, • Current certifications in AWS or Azure or VMware, • Experience working in a law firm or professional services environment, • NetApp storage and enterprise storage protocols to include CIFS, NFS, iSCSI, and FC, • Experience with backup software Cohesity or Veeam and AWS Backup, • Experience with:, • Enterprise server technology, specifically Cisco UCS, • Scripting with PowerShell and/or Python, • Enterprise backup technologies, • Enterprise DR Methodologies and technologies, • DevOps technologies and methods Competencies: • Professional demeanor at all times, including during project engagement, • Excellent communication (verbal and written) skills, • Strong project management skills, and the ability to translate complex technical concepts into simple language, • Strong team player who can successfully interact with all levels of business professionals and effectively work with diverse personalities, • Strong analytical and project management skills. Capable of interpreting and applying complex technical information, • Ability to work independently and to make sound judgments regarding the best course of action to resolve problems; ability to determine when further expertise is necessary and contact the proper individuals, as required, • Ability to work effectively under pressure, set priorities, handle a number of matters concurrently and in a timely manner, all within a fast-paced environment, • High level of organizational skills required to adequately manage projects, monitor numerous live systems simultaneously, ascertain trends which may indicate problems and keep accurate up-to-date records Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $130,000 - $195,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Discover What's Possible at BetMGM Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business. As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include: * Medical, Dental, Vision, Life, and Disability Insurance * 401(k) with company match * Pre-tax spending accounts including health care FSA and commuter savings * Flexible paid time off * Professional development reimbursement and ongoing skills training opportunities * Employee resource groups * Swag, ticket giveaways, and more! At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. About the Role As a Senior Data Analyst, Risk & Fraud, you will leverage data and analytical techniques to detect, investigate, and mitigate fraud and financial risk across the business. You will transform large, complex datasets into actionable insights that support real-time decision-making and long-term risk strategy. This role partners closely with stakeholders across Fraud Operations, Payments, Risk, and Compliance to identify emerging threats, uncover patterns in user behavior, and enhance detection and prevention frameworks. You will play a key role in analyzing transactional activity, monitoring fraud trends, and driving data-informed improvements to controls and processes. This is a fast-paced, high-impact environment where success is defined by your ability to translate data into clear, evidence-based recommendations that reduce risk and improve operational efficiency. Responsibilities * Analyze large-scale transactional and behavioral data using SQL to identify fraud patterns, emerging threats, and key risk signals across the customer lifecycle. * Design and develop scalable analytics solutions and automations (e.g., Python, Streamlit - a plus) to support fraud detection, investigation workflows, and operational efficiency. * Build and maintain dashboards and monitoring tools (e.g., Power BI) to track fraud, payments, and risk performance metrics, reducing manual investigative effort. * Support the development and optimization of fraud detection strategies, rules, and risk indicators through data-driven analysis and testing. * Perform deep-dive investigations into suspicious activity (e.g., multi-accounting, geolocation anomalies, payment abuse) to uncover fraud networks and inform mitigation strategies. * Ensure data quality, integrity, and consistency across fraud and risk reporting through strong validation, documentation, and control processes. * Partner closely with Fraud Operations, Payments, Risk, and Compliance teams to translate analytical findings into actionable insights and measurable process improvements. * Communicate complex fraud trends and investigative findings clearly and effectively to both technical and non-technical stakeholders Qualifications * Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics), or equivalent experience in data analytics within risk, fraud, or payments * 3+ years of experience in data analysis within risk, fraud, payments, or a related domain * Strong analytical skills with proficiency in SQL and experience with data visualization tools (e.g., Power BI) * Experience working with Python for data analysis or automation (preferred) * Experience analyzing transactional or behavioral data to identify trends, anomalies, or risk signals * Excellent communication skills, with the ability to translate complex findings into clear, actionable insights for non-technical stakeholders * Strong problem-solving mindset with a focus on continuous improvement * Ability to work in a fast-paced environment, adapt to changing priorities, and deliver under tight deadlines * Proficiency with Microsoft Excel and PowerPoint for analysis and presentation of findings * Strong troubleshooting skills, with the ability to identify, investigate, and resolve data or process issues * Naturally curious, with a proactive approach to solving business and risk-related problems * Strong verbal reasoning and critical thinking skills * Data-driven mindset, using quantitative analysis to inform decisions and recommendations * Ability to understand stakeholder needs and translate them into effective analytical or technical solutions Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives. About BetMGM BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. If you need assistance or accommodation with your application due to a disability, you may contact us at . This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-JLEE

Job Description Join a forward-thinking financial conglomerate and be at the forefront of innovation in the industry. We're seeking a Machine Learning Developer to be part of our dynamic team. If you're a Python enthusiast or an adept programmer with a passion for data-driven decision-making, we want to talk to you. Job Description: Position Overview: As a Machine Learning Developer, you'll be a valuable member of our team, working on projects that span from infrastructure development to cutting-edge modeling. The ideal candidate is someone with strong coding abilities and a solid foundation in mathematics, computer science, statistics, or machine learning. If you have an entrepreneurial spirit, a collaborative mindset, and a hunger for professional growth, we'd love to meet you. Key Responsibilities: • Engage in a mix of infrastructure work (25%) and modeling (75%)., • Handle projects in various ML disciplines, including Natural Language Processing (NLP), unstructured data analysis, predictive modeling, and classic machine learning., • Collaborate with a two-person team and liaise with different stakeholders within the organization., • Strong coding skills, preferably in Python or a similar programming language., • Solid background in mathematics, computer science, statistics, or machine learning., • A proactive and entrepreneurial mindset., • Preferred: At least 2 years of professional work experience., • Experience in ML disciplines, particularly in NLP, unstructured data analysis, predictive modeling, or classic machine learning, is a significant advantage. Application Process The application process for the Machine Learning Developer position consists of three steps to ensure we find the best candidates: Step 1: Introductory Call The first step involves a 30-minute introductory call with the hiring manager. This is an opportunity for you to discuss your skills, experience, and aspirations, and to learn more about the role and the team. Step 2: Coding Algorithm Test If you successfully pass the introductory call, the second step is a coding algorithm test. You will be provided with a coding challenge to assess your problem-solving and programming skills. This test helps us understand your practical abilities and how well you can apply your knowledge to real-world scenarios. Step 3: Coding Interview In the third step, we will conduct a coding portion of the interview to evaluate your development skills in more depth. This interview is designed to ensure that your coding and development skills meet our standards and align with the responsibilities of the role. We encourage all qualified applicants to take the first step and schedule an introductory call. Join our innovative team and demonstrate your development skills to make a significant impact in the financial industry. To schedule your introductory call and advance to the next steps, please send your resume and a brief introduction. Cypress Group is committed to diversity and inclusion in the workplace. We appreciate the interest of all applicants and will contact candidates who advance to the coding interview phase.

Job DescriptionAbout Us For 20 years, Ladders has connected ambitious professionals with $100K+ opportunities, now serving over 8 million members. We're a profitable, small, collaborative, venture-backed team in NYC that moves fast, ships real products, and applies AI in ways that genuinely help people land better careers. The Role We're looking for a thoughtful Senior Full-Stack Engineer(6+ years experience) who thrives owning problems end-to-end. You'll design and build AI-powered features that reach millions of job seekers, make pragmatic architectural decisions, and balance speed with long-term quality. This is not a backlog-ticket role, we want someone who takes a concept all the way to production, not just executes what's handed to them. This is a NY based role with regular in-office presence required (hybrid schedule). What You’ll Do * Design and build AI-powered products and features that deliver meaningful user impact * Build and maintain scalable backend services and user-facing applications * Collaborate closely with product and design team, and other engineering teams to deliver high-impact features * Make structural technical decisions and clearly articulate trade-offs when solving complex problems • Take ownership of a product area, service, or technical domain and drive it forward, • Continuously improve system performance, reliability, and developer experienceWhat We’re Looking For 6+ years of professional software engineering experience * Strong foundation in programming and software design principles * Proven experience building well-scoped, performant modern web applications * Production experience with React or Next.js and at least one of the following languages: Go, Python, or JavaScript * Comfort navigating the full stack and pulling in what's needed to ship * Strong ownership mindset and ability to work effectively within cross-functional teams Nice to Have * Experience working with AI tools, prompt engineering, or integrating AI into development workflows * Search infrastructure experience (Elasticsearch or similar) * Familiarity with message brokers (e.g., Kafka, RabbitMQ, AWS SQS) * Database optimization experience (e.g., MariaDB or similar relational databases) • Experience with modern frontend tooling (e.g., Vite), • Background in Computer Science or equivalent practical experienceWhat Success Looks Like Consistently delivers product features with high quality and strong attention to detail * Uses AI-assisted development fluently, producing clean and maintainable code at higher velocity * Builds strong partnerships with engineers, product and design, contributing to team and organizational growth • Proactively surfaces problems and drives them to resolution, • Makes the codebase, the system, and the team around you measurably better over time Competitive compensation: base salary $200,000 ~ $220,000 + stock options * Home office setup stipend * Gym membership reimbursement * Commuter benefits program * Comprehensive health coverage: medical, dental, and vision • 401(k) retirement plan The products we’re building have meaningful social impact, and we believe that diverse experiences and viewpoints make that work stronger. We’re committed to building an inclusive team and would love to hear from you. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About DataCamp Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum—helping millions worldwide upskill in data and AI. About the role This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here's what your day-to-day will look like: • Manage the entire content development lifecycle and deadlines., • Source and recruit top-tier subject-matter experts as instructors., • Collaborate with instructors to create engaging content., • Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production., • Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective., • Continuously assess course performance using learner feedback and engagement data to drive improvements., • A solid technical background in Python and SQL. A technical background in data engineering is a plus., • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences., • Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development., • A deep understanding of the DataCamp course format—you have an intuitive understanding of what makes a great DataCamp course., • An existing network of potential subject matter experts who can become DataCamp instructors. Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team: • Exciting Challenges – Tackle some of the most important educational challenges in Data & AI., • Work with the Best Instructors – Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more., • Competitive Compensation – We offer a competitive salary with attractive benefits., • Work Flexibility – Benefit from flexible working hours and a remote-friendly culture., • Professional Growth – Access to a yearly learning & development budget., • Global Culture – Join a team that values international collaboration., • Annual Retreats – Participate in international company retreats, fostering a global team spirit.

Job Description Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious ML engineer as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES MINIMUM QUALIFICATIONS • BSc. degree in Computer Science or related fields, • 3+ years of experience with Python, • 3+ years hands-on experience developing architectures with machine learning frameworks such as PyTorch, • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • MSc. degree in Computer Science or related fields, • Experience in Natural Language Understanding, Dialogue Systems, Semantic Parsing, Transfer Learning and learning with limited data, • Experience with building models in the commerce/retail domain Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K

Job Description PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world's leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. Enterprises trust our conversational AI platform to automate millions of customer interactions every day. Your mission is to define the strategy and lead the developer ecosystem for our new Developer Platform. This includes creating world-class technical content, nurturing a vibrant community of AI builders, and acting as the primary advocate for external developers integrating with our APIs and agent-building tools. We are looking for an impact driven and technical Developer Relations Manager to own the developer journey, driving platform adoption, and establishing PolyAI as the premier destination for Conversational AI developers. You will lead technical advocacy, mentor builders, and align closely with product, marketing, and engineering teams, translating frontier Agentic AI into intuitive, well-documented, and scalable developer resources. If you are motivated by empowering developers, solving complex integration challenges, and transforming technical platform capabilities into a thriving, community-led ecosystem, we want to meet you. Key Responsibilities • Define and Lead the Developer Ecosystem Strategy. Establish a winning DevRel strategy and unified developer journey across our core platform APIs, SDKs, and integration points. Define, monitor, and report on key developer success indicators, driving continuous improvement to maximize developer ROI and platform stickiness., • Own and Deliver World Class Technical Content. Oversee the entire content lifecycle for developers, from strategic prioritization of topics to the creation of high-quality tutorials, API documentation, code samples, reference architectures, and video guides demonstrating how to build and optimize LLM-powered agents., • Be the Voice of Developers. Serve as the principal bridge between the external developer community and internal technical execution. Champion developer needs, translate community feedback into actionable product requirements, and challenge our engineering teams to continuously elevate the developer experience (DevEx)., • Community Building and Advocacy. Act as the face of PolyAI to the developer community. Host webinars, speak at industry conferences, organize hackathons, and actively nurture technical discussions on platforms like GitHub, Discord, or Stack Overflow to ensure developers feel supported and engaged., • Integrate and Optimize Core AI Technology for Builders. Work alongside product teams to ensure our underlying LLM, RAG, and tool-calling pipelines are exposed to developers in a way that is intuitive, scalable, and consistent. Provide hands-on feedback during the development of new platform features., • Lead Developer Go-to-Market Strategy. Direct developer-focused Go-to-Market collaboration, including the coordination of API beta programs, developer launch kits, and technical enablement sessions to drive rapid, grassroots platform adoption.Requirements, • 5+ years of experience in Developer Relations, Technical Evangelism, or Software Engineering, with a strong focus on community engagement and developer experience., • Proven experience driving developer adoption and managing technical communities for API-first B2B, or Enterprise SaaS developer platforms at scale., • Exceptional ability to use qualitative developer insights and quantitative usage data to define, validate, and evolve a technical advocacy strategy., • Demonstrated track record of creating compelling, high-quality technical content (e.g., code repositories, blog posts, architecture diagrams, and technical presentations) that drives developer engagement., • Superior communication skills, with the ability to articulate complex technical AI/ML concepts to both deeply technical audiences and executive leadership., • Strong technical background. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience in software development (particularly with Python, Node.js, and REST/GraphQL APIs).Preferred Requirements, • Experience working with conversational AI, Natural Language Processing (NLP), Large Language Models (LLMs), or speech technologies., • Previous experience defining, measuring, and moving quantitative success metrics for developer communities or open-source projects., • Experience working on a global B2B or Enterprise platform with a significant international developer footprint. 🏥 Comprehensive health coverage for you and your loved ones 👪 Life Insurance ◻️ STD and LTD 💰 The opportunity to contribute to the company's 401k plan 🏝 Flexible PTO policy + 11 designated company holidays 📚 Annual learning and development allowance 🏡 We're all about making WFH work for you - that's why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus! 🧡 Enhanced parental leave 👨️‍👩️‍👧 Company-funded fertility and family-forming programmes 🌸 Menopause care programme with Maven 🌎 Sabbatical Program: 5-week paid sabbatical available after 5 years of employment At PolyAI, we take great pride in our values - they guide everything we do. We believe that a strong culture leads to meaningful work and lasting impact. Our core values are: Only the best We expect the best from our people, we hire people that expect the best from themselves, and we nurture this drive for excellence. Ownership We care deeply about what we do. We take ownership of our initiatives, decisions and outcomes. Relentlessly improve We demand more from ourselves and are always evolving. Continuous, obsessive improvement is the only way we will transform the world of conversational AI. Bias for action Our world moves quickly and so do we. We take calculated risks and we deliver impact fast. Disagree and commit We are all working toward the same goal. If we donʼt agree with something, we work hard to understand it and when a decision is made, we accept it and give it our all. Build for people We want the world to enjoy the experiences they have with us. We are building for a future that prefers automation. PolyAI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status. Kindly find the Privacy Notice for our recruitment process by following the link here. This document provides important information regarding how we handle your personal data throughout the recruitment journey.

Job Description About Synaptrix Labs Inc. Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience. We're seeking a full time Research Scientist, Artificial Intelligence (PhD) to join our growing team of researchers & engineers. If you're passionate about shaping the future of brain-computer interfaces and excited by the potential of deep learning in neurotechnology, we want to hear from you! Responsibilities: • Design, prototype, and optimize state-of-the-art AI systems for neural decoding, including diffusion models, graph neural networks, contrastive/self-supervised frameworks, and transformer-based sequence models., • Conduct foundational research on neural time-series representation learning: build architectures that extract latent dynamics from EEG, EMG, or related biosignals., • Develop high-fidelity simulation environments for testing decoding algorithms, incorporating stochastic signal noise and realistic biophysical constraints., • Scale model training across multi-GPU and multi-node clusters using PyTorch Distributed, DeepSpeed, or JAX/Flax; profile and tune system performance for sub-10 ms inference latency., • Build and maintain end-to-end research pipelines for large-scale signal datasets, including preprocessing, artifact rejection, and multimodal fusion with video, audio, and IMU data., • Collaborate with neuroscientists and hardware engineers to integrate learned models into real-time BCI control loops and embedded systems., • Contribute to core ML infrastructure: experiment tracking, model versioning, dataset lineage, and reproducibility standards., • PhD or equivalent deep technical expertise in Machine Learning, Artificial Intelligence, Computer Science, Computational Neuroscience, or related fields., • Strong command of PyTorch or JAX, with experience implementing custom training loops, loss functions, and model architectures., • Proven ability to conduct end-to-end research, from conceptual design to reproducible experiments and evaluation., • Strong mathematical foundations in linear algebra, probability, optimization, and information theory., • Experience working with high-dimensional time-series or sensory data (EEG, speech, video, motion capture, etc.)., • Skilled in Python, NumPy, Pandas, and scientific computing workflows; experience with CUDA or low-level GPU debugging is highly valued., • Deep familiarity with neural signal modeling, neural decoding, or biosignal preprocessing (EEG/MEG/ECoG/EMG)., • Experience designing self-supervised or generative models (diffusion, VAEs, contrastive, masked modeling) for noisy, non-stationary data., • Background in reinforcement learning, optimal control, or human-in-the-loop systems, especially in continuous domains., • Publications or preprints in top venues (NeurIPS, ICML, ICLR, CVPR, EMBC, Nature Neuro)., • Familiarity with distributed training, mixed-precision, multi-GPU orchestration, and cloud ML infrastructure (AWS/GCP/Azure)., • Contributions to open-source ML frameworks or custom CUDA kernels., • Understanding of neural signal acquisition hardware, embedded inference, or edge ML deployment. At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation. Expected Compensation: The base salary for this role is anticipated to fall within the following range. Actual compensation will depend on your experience, technical expertise, and relevant education or training. In addition to base pay, Synaptrix offers equity to all full-time employees, reflecting our commitment to shared success and long-term company growth. Base Salary Range: $85,000 - $150,000 USD What We Offer: • An opportunity to change the world and work with some of the smartest and most talented experts from different fields, • Growth potential; we rapidly advance team members who have an outsized impact, • Paid holidays, unlimited PTO

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 Company Overview: With an annual budget of $2.3 billion and more than 7,000 employees throughout the five boroughs, the New York City Department of Health and Mental Hygiene (NYC DOHMH) is one of the largest public health agencies in the world, serving 8 million New Yorkers from diverse ethnic and cultural backgrounds. We're tackling a broad range of public health issues with innovative policies and programs and getting exceptional results, but our work is never finished. The breadth of our innovative programs provides the widest range of choices for every member of our team. Job Description: The Bureau of Vital Statistics (BVS) is housed within the Center for Population Health Data Science. BVS registers, amends, processes, and analyzes all vital events in New York City while also issuing certified copies of certificates to the public. Vital events include births, deaths, and spontaneous and induced terminations of pregnancy. The position of Data Analyst reports to the Director of the Statistical Analysis & Reporting Unit within the Office of Vital Statistics. The Data Analyst will analyze these types of data for the purpose of publishing the Annual Summary of Vital Statistics on a timely basis, as well as producing data tables for the Provisional Birth & Death Data page. Work related to the Annual Summary will include creating data tables, data visualizations, and updating text summary statements; the analyst will also perform data checks and may help with copy-editing of the Annual Summary. On an as-needed basis, the Data Analyst will help fulfill internal and external data requests; learn how to match vital event data with other datasets; coordinate projects (e.g., a variable standardization project); contribute to or lead research projects that are disseminated via internal presentations, local or national conferences, or peer-reviewed publications; respond to public health emergencies that require an agency-level response. The selected candidate will be an employee of Public Health Solutions, a nonprofit organization which is the fiscal and administrative manager of the grant but will be supervised by DOHMH. Duties: • Conduct statistical analyses of birth, death, other vital event data, and other registry or survey data, applying standard analytical tools to address the research questions posed, including data matching., • Prioritize and complete internal and external vital statistics data requests as assigned., • Produce Annual Summary of Vital Statistics data tables and figures., • Produce routine quarterly, monthly, weekly reports., • Support internal and external colleagues on data provision and analysis., • Provide consultation or guidance to internal and external data requesters on statistical methods and data interpretations., • Work independently or collaborate with other internal or external researchers on analyses, reports, and peer-review papers, to share these data with wider audience., • Coordinate larger projects, organizing tasks and roles, as assigned., • Run automated mortality surveillance system reports, as needed., • Collaborate with other staff on projects using machine learning & AI approaches., • Respond to data requesters, verify proper data governance procedures, and track progress of data requests, as needed., • A master's degree or doctorate from an accredited college or university with a specialization in an appropriate field of public health, epidemiology, statistics, health economics, or data science., • Strong written and verbal communication skills are required., • Extensive experience using SAS or R and experience using Microsoft Office, Excel, Access, and PowerPoint are required. Being familiar with computer languages, such as SQL or Python will be a plus., • The candidate should be a self-starter with strong initiative and sound judgment, who is able to work both independently and in a team, to analyze data and provide written interpretations of both statistical analyses results and methods., • The preferable candidate will have experience presenting results to expert audiences, such as at national public health conferences and in peer-reviewed manuscripts., • Experience with stakeholder engagement and project management., • Excellent communication (verbal & written) and interpersonal skills., • Strong analytical skills and ability to manage and report complex information., • Experience with data collection, analysis and interpretation., • Desire to grow professionally, develop new skills and willingness to work outside of comfort zone., • Experience working with the public health sector and coordinating projects involving multiple stakeholders., • Ability to prioritize and work in fast-paced environment with hard deadlines., • Hybrid Work Schedule., • Generous Paid Time Off and Holidays., • An attractive and comprehensive benefits package including Medical, Dental and Vision., • Flexible Spending Accounts and Commuter Benefits., • Company Paid Life Insurance and Disability Coverage., • 403 (b) + employer matching and discretionary company contributions., • This is a temporary grant-funded position ending in November 2027., • This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date., • Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties. We look forward to learning more about you! PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans. Monday-Friday 35 Hours Per Week

Job DescriptionCareer Renew is recruiting for one of its clients a Technical Product Manager, Data and Internal Products - this is a fully remote position for US-based candidates. Salary range: 180-230K USD plus benefits plus equity.We are the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 by Naftali Harris and Max Blumenfeld and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others. We are looking for a Data Product Manager with 5+ years of experience to lead internal initiatives within our Tech organization. This person will build and maintain our core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. What will you be doing? * Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on dataintensive systems. * Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets and shared services. * Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving needs. * Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases and clarify requirements. * Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value. Key Requirements * 5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred. * Hands-on experience working with large datasets (e.g., Spark, Databricks, BigQuery, Snowflake). * Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling. * Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problems. * Experience driving large internal initiatives with multiple stakeholders and managing cross-functional dependencies. Tech stackSpark, Databricks, BigQuery, Snowflake Requirements: 5+ years of experience PM, founder, or equivalent cross-functional product role (Mandatory) Resume must show both big data product work and internal tooling experience with specific projects named (Mandatory) At least 1 year at a Series B/C startup; current or most recent role must be at a startup, not big tech (Mandatory) Prior engineering title required (SWE, data scientist, ML engineer, or highly technical data analyst) (Mandatory) Data pipeline experience required: production-level work with data ingestion, cleaning/normalization, and modeling with specific tools cited (Mandatory) Python and AWS familiarity required; big data tooling (Spark, Databricks, BigQuery, Snowflake, or Redshift) must be explicitly named on resume (Mandatory) Domain experience in fintech, payments, fraud, or identity is a significant differentiator (Nice-to-have) Located and authorized to work in the United States. (Mandatory) Why you should join Market-leading fraud prevention company - We're the go-to identity verification solution for major US banks, credit unions, and fintech unicorns, processing hundreds of millions of identities. $85M raised from top-tier investors - Backed by Andreessen Horowitz, Craft Ventures, and NYCA Partners with strong financial runway. Forbes Fintech 50 recognition - Named to the prestigious list every year since 2023, plus we made history as the first eCBSV provider. Competitive compensation package - $180K-$230K base salary plus equity and comprehensive benefits including employer-paid health insurance for you and dependents. Remote-first culture - Work from anywhere in the US with flexible PTO and regular company-wide in-person events.

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needs Problem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical vision Leadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. We're looking for a new leader in our data organization to guide and grow our product data science team at Spring Health. This is primarily a coach role: you'll spend a majority of your time on leadership, team enablement, and cross-functional strategy, with the opportunity to get hands-on with strategy and analysis for the most critical initiatives. You will lead product data science across our R&D organization, spanning both our member-facing and provider-facing experiences, with a focus on discovering growth opportunities through experimentation and enabling the broader R&D team to execute on them. You'll help refine and operationalize our metric tree, with a particular focus on acquisition and activation across the full ecosystem of how members find care and how providers deliver it. Your work will help more people who need care successfully get into and stay in care long enough to get better, in line with our mission to remove all barriers to mental health. What you'll be doing • Work with R&D leaders to set the vision for how product data science drives growth, especially in our acquisition and activation funnels. This includes how we use experimentation, causal inference, and behavioral analysis to identify and prioritize the most impactful opportunities., • Partner with Product, Design, and other R&D teams to refine and align on our metric tree, ensuring we are focused on the right measures of success and can clearly see the impact of our work., • Design and continuously refine how the product data science team operates within R&D: roles and responsibilities, collaboration models, team rituals, and how we partner with other data and R&D teams., • Manage and develop a team of data scientists supporting multiple areas within R&D. This includes 1:1s, performance reviews, feedback, and clear growth paths that build both technical and product/strategy skills., • Work with your team and cross-functional partners to design and maintain experimentation and measurement frameworks (e.g., clear hypotheses, guardrail metrics, success criteria) that can be reused across R&D and make it easier to run high-quality tests., • Your team regularly identifies high-quality growth opportunities through experimentation and analysis, and partners with R&D to execute on them, leading to meaningful improvements in key product and member outcomes., • Experimentation continues to grow as a core part of how R&D operates: tests are well-designed, results are clear and actionable, and learnings are documented and reused across teams., • You are passionate about changing the face of mental health care and Spring Health's mission to remove all barriers to mental health resonates with you., • You have substantial experience (typically 10+ years) working with data in analytics or data science roles, with a strong focus on product and/or growth for digital products., • You have experience (typically 3+ years) experience managing and mentoring data scientists or product analysts, including responsibility for performance, career development, and hiring., • You have deep experience using experimentation to drive growth: defining hypotheses and KPIs, designing and interpreting A/B tests and other experiments, and translating results into clear recommendations for product and business partners., • You are comfortable owning and refining a metric tree / KPI hierarchy, and you can bring stakeholders together around shared definitions and measures of success., • You are deeply fluent in growth thinking: you're comfortable mapping acquisition and activation funnels, identifying friction points, and using tools like funnel analysis, cohort analysis, and growth loops to find and size opportunities., • You have experience using modeling and causal inference (e.g., drivers analyses, uplift/propensity models) to identify what's truly driving key metrics and where to focus experiments., • You're comfortable diving into SQL and Python code when needed to sanity-check data, review your team's work, and give clear technical guidance., • You have experience working with a modern data stack (for example, a cloud data warehouse, dbt, and a BI tool like Looker) and understand how good data modeling and a strong semantic layer enable consistent metrics., • You have strong user and stakeholder empathy: you can understand the challenges facing R&D teams and translate them into data science projects and experimentation roadmaps that meaningfully improve how we get members into care. Benefits provided by Spring Health: Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria. • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year., • $200 per year donation matching to support your favorite causes. Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know. Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

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 DescriptionWho we are Findigs is on a mission to make renting work for all of us: to support every path, and simplify the way forward. We’re making every aspect of renting fairer, stress-free, and more convenient by changing the fundamentals of renting.Our digital rental application offers a safe and seamless way to apply and get approved for your next home. We specialize in developing software and services for property managers nationwide, empowering them to deliver exceptional service to renters, while evaluating applications with unmatched speed and precision. The Role As a Senior Software Engineer, you will play a pivotal role in delivering innovative and fast-paced software solutions. In this role, you will own end-to-end product features, working alongside a cross-disciplinary product team composed of Product, Data, Design and Engineering. You’ll also work with the team to drive solutions that address product and business objectives to make renting a better experience for everyone. In this Senior position, you will be responsible for delivering product features to market. You’ll be tasked with partnering with cross-functional partners, while mentoring and coaching early career Engineers in order to up-level skillsets and foster a strong, collaborative team dynamic. Our tech stack includes: Python, Django, Typescript, React, Temporal.io, Postgres, and more. Please note, we are unable to sponsor or take over sponsorship of an employment Visa at this time.Where you will make an impact: • Lead the design, development, and deployment of end-to-end web applications and services., • Partner with Product, Data Science, Compliance, and Security to define, scope, and deliver impactful projects., • Architect scalable, performant, and secure systems, and guide technical decisions across the stack., • Own features from concept to integration, collaborating with engineers to connect frontend and backend systems., • Champion secure coding practices, reusability, and maintainability through hands-on development and code quality standards., • Contribute to team performance through mentorship, code reviews, pairing, and thoughtful technical documentation., • Continuously improve site performance and observability using telemetry and proactive optimization., • Help prioritize features, navigate trade-offs, and shape the user and developer experience with creative, practical solutionsQualifications of a successful candidate:, • Bachelor’s Degree in Computer Science/Engineering, bootcamp or equivalent work experience., • 6+ years of full-stack development experience with proficiency in Node.js, Python, Java, or Ruby., • Strong experience with relational and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or DynamoDB., • Skilled in API design (REST, GraphQL, gRPC) and service-oriented architecture., • Hands-on experience with cloud platforms (AWS, GCP, or Azure), containers, and orchestration tools like Docker and Kubernetes., • Familiarity with CI/CD pipelines, automated testing, and test-driven development., • Solid understanding of security best practices, encryption, and data privacy regulations (e.g., GDPR, CCPA, PCI-DSS)., • Excellent communicator with experience collaborating across teams and leading engineering initiatives., • Proven leadership in mentoring, technical decision-making, and driving best practicesNice-to-haves:, • Experience in fintech or PropTech., • Background in identity verification, KYC standards, and fraud detection technologies., • Familiarity with document verification tools and AI-based identity solutionsExperience working in regulated industries and with compliance frameworks like AML and KYCWhat we offer:, • Location: We operate on a hybrid schedule (3-4x times in-office per week), with core collaboration days on Monday, Tuesday, and Thursday at our newly renovated NoHo office., • Mission-Driven Culture: A collaborative, high-impact workplace where we challenge each other to grow, innovate, and drive meaningful change., • Competitive Compensation: Competitive base salary + Pre-IPO equity., • Generous Time Off: We trust our team to manage their own time and workload. That's why we offer a flexible Paid Time Off (PTO) policy, allowing you to take the time you need to rest and recharge. We also observe all company holidays.

Job DescriptionAbout Duetti Duetti is redefining how independent music creators monetize and grow their careers. Founded in 2022 by CEO Lior Tibon and COO Christopher Nolte, Duetti partners with creators to unlock the value of their catalogs through flexible, straightforward deals, while also offering top-tier catalog management, distribution, and marketing services. Since its founding, Duetti has partnered with over 1,100 music creators across 40 countries, including Connor Price, Ingrid Contreras, and Brent Morgan, helping them monetize their music on their own terms and reach new audiences. Backed by leading investors including The Raine Group, Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, Duetti has raised over $635 million in capital to fund independent music creators. Fueled by a belief in independence and financial empowerment, Duetti is building a more sustainable future for music creators everywhere. With offices in New York City, Los Angeles, Miami, and London, Duetti offers competitive benefits, flexible paid time off, and a hybrid work model. We pride ourselves on a culture that blends ambition with genuine care – an environment where your work immediately shapes outcomes for artists worldwide. Role Overview At Duetti, data is at the heart of everything we do. We are seeking a skilled Backend Developer with experience in DevOps and full-stack development to join our team. In this role, you will be instrumental in optimizing the infrastructure that powers our data-driven initiatives, supporting cloud deployment, and enhancing the developer experience. Your expertise will contribute to building scalable and robust systems, enabling efficient deployment, monitoring, and management of our applications. As a Backend Developer at Duetti, you will collaborate closely with data engineers, data scientists, and cross-functional teams to understand their requirements and implement high-quality solutions. We provide our engineers with the platform to enhance their skills and grow in their careers. We are looking for a talented individual with strong back-end development skills, experience in cloud technologies, and a good understanding of scalable infrastructure systems. Proficiency in scripting languages such as Python is essential. Familiarity with cloud platforms like AWS and experience with containerization technologies, such as Docker or Kubernetes, are required. A problem-solving mindset, the ability to work collaboratively, and a passion for building efficient and scalable systems are key qualities for success in this role. Join our team and contribute to the growth and success of Duetti as we leverage data and the cloud to transform the music industry. We offer a competitive compensation and benefits package, along with opportunities for professional development and growth. You Will: * Design, develop, and maintain scalable and robust back-end systems to support data processing, analysis, and API services. * Collaborate with front-end developers and cross-functional teams to integrate server-side logic with user-facing elements. * Design and implement secure, scalable APIs to facilitate communication between services. * Contribute to the design and optimization of our cloud-based architecture, ensuring reliable and secure operations. * Implement cloud-based services and technologies to support efficient data processing and storage. * Work with containerization technologies, such as Docker or Kubernetes, to ensure scalability and flexibility. * Automate deployment, monitoring, and maintenance processes to improve efficiency and reduce downtime. * Troubleshoot and debug infrastructure-related issues, providing timely resolution and ensuring smooth system operations. * Collaborate closely with data engineers, data scientists, and other stakeholders to understand requirements and implement high-quality solutions. * Stay updated with the latest trends and technologies in cloud computing, API design, and infrastructure development, proposing innovative solutions to enhance our systems. Requirements: * Bachelor’s degree in Computer Science, Engineering, or a related field. * 5+ years of proven experience as a Backend Developer, DevOps Engineer, or similar role, with hands-on experience in building and maintaining scalable infrastructure. * Strong experience in API design and implementation, ensuring security and scalability. * Proficiency in back-end programming languages such as Python, and experience with full-stack development is a plus. * Strong understanding of scalable architecture and best practices for infrastructure and API development. * Familiarity with cloud platforms, such as AWS, and experience with cloud services (e.g., EC2, S3, Lambda, EKS). * Experience with containerization technologies, such as Docker or Kubernetes. * Knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or CircleCI. * Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation. * Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or Datadog. * Strong problem-solving and troubleshooting skills, with the ability to identify and resolve issues efficiently. 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 Trexquant is seeking an experienced quantitative researcher to lead our Systematic ETF Strategy Team. In this role, you will manage a team of researchers focused on designing, implementing, and trading systematic ETF-based strategies within Trexquant’s core quantitative framework. Your leadership will play a critical role in scaling ETF strategies into a meaningful asset class for the firm. Responsibilities • Lead and mentor a team of researchers to expand ETF capabilities by identifying new data sources, signals, and strategies., • Oversee the design, backtesting, and implementation of systematic ETF trading strategies., • Collaborate with the development team to enhance the performance, robustness, and scalability of ETF simulation and trading infrastructure., • Partner with execution and financing teams to optimize trade execution and capital efficiency., • Work with the risk team to establish monitoring frameworks, controls, and capital allocation processes specific to ETF exposures., • 5+ years of experience researching and trading quantitative ETF-based strategies., • Bachelor’s, Master’s, or Ph.D. in Mathematics, Statistics, Computer Science, or a related STEM field., • Proven leadership experience managing quantitative research teams., • Strong quantitative, analytical, and problem-solving skills., • Proficiency in Python; familiarity with large-scale data analysis and backtesting frameworks a plus. Benefits • Competitive salary with performance-based bonus., • Collaborative, casual, and friendly work environment., • PPO health, dental, and vision insurance fully covered for you and your dependents., • Pre-tax commuter benefits., • Weekly company-provided meals. Applications are now open for our NYC office, opening in September 2026. The base salary range is $130,000 to $200,000, depending on candidates’ educational and professional background. Base salary is only one part of Trexquant’s total compensation, which may include a discretionary and performance based bonus. Trexquant is an Equal Opportunity Employer

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 DescriptionAbout Kiddom Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. The InfraOps team's primary mission is to enable and empower Kiddom's engineering organization by building a scalable, sustainable, and reliable platform that our teams can depend on to meet company KPIs. As Kiddom scales the infrastructure beneath our product becomes increasingly critical — and this is your opportunity to help shape it from the ground up. This is an opportunity to join a small, highly skilled team where your scope is defined by your abilities and passion. If you're tired of the feature factory and want real ownership over meaningful technical decisions, this role was built for you. The work you do here directly impacts students, teachers, and schools across the country — so we take it seriously, and we want teammates who do too. You will: • Grow our DevOps efforts from small scale to large scale multi-region, • Share ownership of the entire infrastructure architecture, • Aim for high availability, high resiliency, • Support the engineering team with tools to evaluate the performance of their code in production environments, speed up CI/CD pipeline, & feature verification, • support the engineering team with tools to speed up CI/CD pipeline, feature verification, • Design and build a scalable, generalized framework for third-party API integrations, • Leverage existing infrastructure and components to build RESTful web services, • Build APIs and robust testing environments for internal and external developers, • Bring an attention to detail - what we do affects people’s educational opportunities and we have to be mindful of thatYou have:, • BS or MS in Computer Science or a related field, • 5+ years professional software engineering experience, • Experience with Java, or Python, Go, Clojure in a production environment, • Experience designing and building REST APIs, • Exposure to authorization technologies (OAuth), • Experience with continuous integration and automation tools and processes, • Strong knowledge of design patterns and software engineering best practices, • Excellent problem solving and debugging skills, • Strong acumen or exposure to DevOps or SRE methodologies, • Keen sense for SecOps., • Functional experience using internal tools: javascript, golang, and python, • Prior success scaling infrastructure at a rapid growth saas startup, • Strong empathy for educators and students, • Passion for improving education equityNice to have

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