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Job Description#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Senior or Staff Software Engineer at Nextdoor, you'll join a focused team of developers, product managers, and designers who are passionate about using technology to cultivate a kinder world where everyone has a neighbor they can rely on. We are a small, high performing team of engineers that wear multiple hats and prioritize impact for our customers. We care about moving fast and delivering impact, without compromising on quality and reliability as guided by our Engineering Principles. You will have the opportunity to learn from your co-workers and teach them. As a team, we will make each other better and build great software. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. The Impact You'll Make We believe in empowering our teams to own all aspects of bringing Nextdoor to life. As such, you'll get the opportunity to make key contributions across our engineering stack - this includes developing and improving frameworks across our backend services, in addition to making direct contributions to your team's product area. In addition to writing code, you'll help define the features that we build, through collaboration internally with product managers, data scientists, and other engineering leaders. We believe engineers should have a stake over all aspects of the product - from coming up with the next big ideas to build, through helping set expectations and plan roadmaps, all the way through understanding the impact of new features through rigorous data analysis. As your career at Nextdoor develops, you'll also get the chance to grow your role towards what you're most passionate about. Your responsibilities will include: • Backend development in a variety of languages/frameworks including:, • Python/Django, • Kotlin / JVM, • Go, • SQL, • GraphQL, • Redis, • Postgres, • Kafka, • AWS, • Mentoring a team of talented engineers designing and building the next generation of Nextdoor, • Collaborating with product management, data science, and design to ensure we build the right things to maximize impact on neighbors, • Working with engineers in Toronto, New York, San Francisco and beyond, • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises, • Build in-person relationships with team members and contribute to Nextdoor's company cultureWhat You'll Bring To The Team, • 6+ years of experience as a Software Engineer and a Bachelor's degree in Computer Science, or equivalent work experience, • High-initiative leader who can drive technical vision to enable the rapid iteration of Nextdoor's product, • Strong coding and debugging abilities across multiple systems and domains, • Experience designing, building and deploying flexible backend systems at scale The starting salary for this role is expected to range from $165,000 to $250,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here. #LI-Hybrid

Job DescriptionPrimary Job Title: Application DeveloperAlternate/Related Job Titles: • Junior Python Developer, • Actuarial Systems Developer, • Position Type: Contract, • Contract Duration: 12 Months, • Start: As Soon As Possible, • Pay Rate: $45.08/hrJob Summary:The Application Developer partners with Actuary, IT Data, and vendor engineering teams to support the Actuarial Modeling and Data Management Platform. This role contributes to development, integration, data engineering, and technical support activities that strengthen platform performance, automation, and usability. This is an excellent opportunity for a junior developer with strong Python skills to grow into a specialized engineering career within actuarial, financial, or risk domains.Key Responsibilities:, • Support development of platform features and enhancements using Python., • Assist in building data pipelines, integrations, and workflows for actuarial modeling., • Collaborate with senior developers on performance tuning, reliability improvements, and application support., • Participate in testing, verification, and deployment of solutions., • Partner with Actuary Model Development to provide data, analytics, and tooling support., • Work with Actuary Valuation teams to enable model analytics, reporting, and workflow automation.Required Experience:, • 2–5 years of experience as a Python developer., • Undergraduate degree in Computer Science, Engineering, IT, or related field (or equivalent combination of education and experience)., • Experience contributing to development projects, platforms, or data workflows.Nice-to-Have Experience:, • Exposure to actuarial systems, financial modeling, or risk analytics., • Experience with C++ or high-performance computing environments., • Experience in cloud environments (AWS / Azure).Required Skills:, • Strong proficiency in Python, including debugging, testing, and version control., • Understanding of core software development principles., • Basic knowledge of SQL, data management, and cloud tools., • Strong documentation and problem-solving abilities., • Effective communication and collaboration skills for cross-functional work.Preferred Skills:, • Exposure to C++ and interest in learning advanced computing tools., • Understanding of modeling, analytics workflows, or financial system integrations.Additional Skills:, • Ability to partner with actuarial teams and technical stakeholders., • Support for data engineering workflows and automation. #gttic #gttjobsCompany DescriptionGlobal Technical Talent is a subsidiary of Chenega Corporation () with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure. We are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier. There is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: Awards SIA’s Fastest Growing Staffing Firm: 2023 and 2015 SIA’s Best Staffing Firm to Work for: 2019 -2023 Inc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015 Randstad Preferred Supplier: 2020 - 2023 TechServe Alliance Excellence Award. 2019 NH Business Magazines Fast 5 fastest growing companies Ernst & Young Entrepreneur of the Year Finalist: 2015Global Technical Talent is a subsidiary of Chenega Corporation () with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure.\r\n\r\nWe are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier.\r\n \r\nThere is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: \r\n \r\nAwards\r\n\r\nSIA’s Fastest Growing Staffing Firm: 2023 and 2015\r\nSIA’s Best Staffing Firm to Work for: 2019 -2023\r\nInc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015\r\nRandstad Preferred Supplier: 2020 - 2023\r\nTechServe Alliance Excellence Award. 2019\r\nNH Business Magazines Fast 5 fastest growing companies\r\nErnst & Young Entrepreneur of the Year Finalist: 2015

Job Description Overview CTG is seeking to fill an ETL Engineer position for our client. Location: New York, NY Duration: Ongoing Contract Duties: * Design, build, and maintain ETL pipelines from scratch using Python. * Develop efficient, reusable code for data ingestion, cleansing, governance, and reporting. * Write and optimize SQL queries, stored procedures, and DB objects across MS SQL, Oracle, DB2, and Postgres. * Implement data modeling, schemas, and entity relationships. * Develop Airflow DAGs for workflow orchestration. * Work with BigQuery, Databricks, Delta Lake, Node.js, JSON, and NoSQL databases. * Learn and adopt new cloud-based business apps and tools. * Onsite 3 days/week at Amex Tower (NYC metro area). Skills: Python, PySpark, MS SQL (SSIS/SSRS), Oracle PL/SQL, RDBMS, Big Data, ETL/Data Warehousing, Data Analytics, Node.js, JSON, NoSQL, Airflow; familiarity with Spark is a plus. Experience: * Independent contributor capable of writing code and ETL pipelines from scratch. * Expert in SQL, OOP, data modeling, and big data platforms. * Strong analytical and problem-solving skills. Education: Bachelor’s degree in Computer Science, IT, or related field preferred, or equivalent experience. Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services for this role. To Apply: To be considered, please apply directly to this requisition using the link provided. For additional information, please contact JoAnn Abramo at . Kindly forward this to any other interested parties. Thank you!

Job Description Note: Base salary offers for this position may vary based on factors such as location, skills, and relevant experience. Some positions may include additional compensation in the form of bonus or commissions. CPower is a leading Virtual Power Plant platform, monetizing the value of customer-sited energy to intelligently strengthen the grid. For over a decade, we’ve made turning flexible energy into revenue simple for partners and large energy users such as businesses, manufacturers, public institutions and healthcare organizations, delivering over $1.2 billion from demand response and energy flexibility programs to customers since 2015. With 6.7 GW of customer capacity nearly 23,000 sites, we’re empowering energy users across North America, enabling them to benefit from an innovative energy economy. We are looking for an enthusiastic Quality Assurance Intern for a position with a first-in-class dynamic energy company based in Baltimore, MD. Applicants should be passionate critical thinkers, and highly motivated to succeed in a unique and innovative team setting. Program Overview This paid internship program will run for 11 weeks beginning June 1, 2026 and ending August 14, 2026. This is a hybrid position with the intern working remotely and at our Baltimore office or New York City Office three days a week (Tues/Wed/Thurs). Essential Duties and Responsibilities • Manage and execute end to end Quality Assurance (manual and automated)., • Collaborate and document test processes and execution with the PM and development team., • Create and maintain test automation test plans, scripts, test data set-up, and test cases., • Control the execution of tests and monitor outcomes to ensure requirements are met., • Monitor automated processes and identify methods that can be automated to ensure coverage is maximized., • Research and develop automation solutions for various front/middle/back end use to keep consistent with industry standards and new technologies., • Run SQL queries to perform database testing and/or functional regression., • Ensure the test set ups are accurate before pushing issues to the developers., • Accurately report and track testing related defects by writing effective bug reports and verify bug fixes., • Communicate progress and statuses clearly to the team during stand ups and bring up roadblocks, if any, and solutions to mitigate for smooth delivery of the work items every Sprint., • Rising Sophomore, Junior, or Senior pursuing BS degree in Computer Science/Engineering, MIS, CIS, or other degree with equivalent experience or Graduate student pursuing MS degree in Computer Science/Engineering, MIS, or CIS., • Experience with front-end technologies such as HTML, CSS, JavaScript, and PHP., • Read C#, Python, or JavaScript code and create tests of code logic using testing frameworks preferably with some programming capability for creating and modifying automated tests., • Ability to write and run SQL effectively and independently to gather test data needed for set ups, manipulation, and analysis., • Comfortable working in a high-paced environment with frequent priority changes., • Communication skills – oral and written- will need to be able to explain novel and complex ideas to stakeholders of all levels including the development team., • Problem-solving and creative thinking – will be required to troubleshoot problems as they arise and find effective solutions to perform complex system tests., • Organizational skills – to map out projects, prioritize workload and keep accurate documentation as necessary by tracking test results and provide recommendations., • Flexibility & adaptability –be able to keep up with latest techniques and technologies and adapt as needed., • Analytical skills – will gather and interpret data, should be able to spot trends and notice outliers., • Keen attention to detail – must be able to spot when processes do not comply with guidance and provide alternative suggestions. Should be able to read and interpret the details of external guidance and industry regulations., • DevOps tool experience preferred., • REST or SOAP experience for web services testing., • C# or Python programming (for automation)., • Selenium or Playwright. CPower is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. We believe that diversity and inclusion among our team members is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.

Job DescriptionSalary: $52 hourly Position: Data Engineer Location:New York City(Hybrid 3x in office) Employment Type:Contract-to-hire Contract Duration: 6months-1year The data engineer is responsible for designing, building, and maintaining the systems and infrastructure needed for data storage, processing, and analysis. The data engineerwill work with a multidisciplinary Agile team to build high-quality data pipelines, generate insights from connected data, and advance the company's data-driven decision-makingcapabilities. Responsibilities: Designs, develops, optimizes, and maintains data architectureand pipelines that adhere to ELT principles and business goals. Solves complex data problems to delivers insights that helpsbusiness achieve its goals. Creates data products for engineer, analyst, and data scientistteam members to accelerate their productivity. Engineer effective features for modelling in close collaborationwith data scientists and businesses. Leads the evaluation, implementation and deployment ofemerging tools and process for analytics data engineering inorder to improve productivity as a team and quality. Partners with machine learning engineers, BI, and solutionsarchitects to develop technical architectures for strategicenterprise projects and initiatives. Fosters a culture of sharing, re-use, design for scale stability,and operational efficiency of data and analytical solutions. Advises, consults, mentors, and coach other data and analyticprofessionals on data standards and practices. Develops and delivers communication and education plans onanalytic data engineering capabilities, standards, andprocesses. Learns about machine learning, data science, computer vision,artificial intelligence, statistics, and/or applied mathematics asnecessary to carry out role effectively. Key Skills: • Experience in building data pipelines and deploying/maintaining them following modern DE best practices -target tech stack: Python OSS Data Ecosystem (PySpark, pandas, Dash); knowledge of SQL, DBT is a plus, • Heavy experience with Azure Data Factory is a must., • Basic familiarity with BI tools (e.g., Alteryx, Tableau, Power BI, Looker), • Experience working in data engineering or data architect role Qualifications &Technical Skills • Must be able to work in the US. SoHo Dragon does not provide visa sponsorship., • Bachelors degree in computer science, statistics, engineering, or a related field, • 3+ years experience as a Data Engineer, preferably in a large organization Interpersonal Mindset & Behaviors • Focused on agile delivery with a fail-fast, succeed early mindset and measurable outcomes, • Flexibility to changes in work direction as the project develops according to highest-priority business needs, • Strong work ethic; ability to work at an abstract level and gain consensus, • Exemplary organizational skills with attention to detail, access, and quality assurance, • Excellent communication and listening skills, collaborating closely with multidisciplinary team members, • Have a can do attitude and thrive on a test and learn mentality

Job Description The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting-edge AI systems capable of complex biological reasoning across multiple scales. * You will build foundational models for biology capable of reading and writing biology at scale * You will develop deep generative models for biological applications, exploring innovative architectures to capture the complexities of multi-scale biological systems * You will work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi-GPU and multi-node setups while handling large-scale biological datasets * You will engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimization * You will develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits Who We're Looking For: * You have a Bachelor's in Computer Science, Machine Learning, or a related technical field * You have 3+ years of experience in developing and implementing deep generative learning models * You have experience pre-training models and are proficient in distributed computing environments * You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX) * You have experience with deep learning and generative architectures such as transformers, diffusion models and autoencoders * You are skilled in working with terra-scale datasets and scaling models to billions of parameters * You have a strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metrics * You have experience in designing and implementing efficient data pipelines for processing and managing large datasets * You are experienced in developing robust evaluation frameworks and ensuring data integrity in machine learning projects * You are experienced in code organization, version control, and collaborative software development practices. Who You Are: * You have excellent problem-solving skills and the ability to quickly adapt to new challenges * You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them * You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty * You have excellent communication skills and can clearly articulate complex technical concepts * You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity Bonus points * You have experience applying machine learning to biology or chemistry * You have contributed to open-source machine learning projects or published research papers in the field of AI/ML * You have experience optimizing machine learning models for high-performance computing environments * You are familiar with ML-Ops practices and tools for managing ML experiments and deployments Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer * We encourage new and different ideas, creativity and contrarian thinking * Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you * You own your day-to-day management. What we care about is that we all hit our milestones * Competitive salary and equity in a growing, well-funded startup * Excellent medical, dental, and vision coverage Compensation Range: $110K - $250K

Job Description Senior Software Engineer (6-Month W2 Contract | Fully Remote) Russell Tobin + Associates is supporting our client, a global management consulting and technology organization, in their search for a Senior Software Engineer. This is a 6-month W2 contract role, fully remote, with a competitive pay rate (pending experience). About the Role As a Senior Software Engineer, you’ll be a key individual contributor on a cross-functional development team, building enterprise-grade B2B software products and platforms that drive meaningful impact for clients. These products leverage proprietary intellectual property to deliver scalable, high-quality solutions that sustain operational excellence and enable digital transformation. You will lead the development of core technical components, influence product design and architecture, and deliver secure, maintainable, and adaptable software in alignment with modern engineering practices. You’ll be part of a collaborative and innovative environment focused on cloud-native development, data-driven insights, and emerging technologies such as GenAI and LLM-based integrations. Key Responsibilities • Lead design and development of complex software components and features., • Build and maintain enterprise-grade software products that meet client business goals., • Collaborate closely with product managers, designers, and other engineers to deliver scalable solutions., • Participate in and lead code reviews, ensuring adherence to high engineering standards., • Contribute to Agile ceremonies, translating user stories into actionable technical tasks., • Debug and support production-level deployments, managing delivery risks and communicating effectively with stakeholders., • Explore and implement cutting-edge tools, libraries, and frameworks to enhance product performance and maintainability., • Apply software engineering best practices including TDD, CI/CD, and design-driven development., • 4+ years of experience in software engineering., • Proven experience developing B2B or enterprise-grade software products., • Strong programming skills in Python (required)., • Proficiency in at least one additional language: C# (.NET) or JavaScript/TypeScript., • Hands-on experience with relational (SQL) and NoSQL databases (PostgreSQL, MongoDB/CosmosDB a plus)., • Experience designing and deploying cloud-native applications on AWS, Azure, or GCP., • Familiarity with Docker, Kubernetes, and/or serverless frameworks (Lambda, Azure Functions)., • Understanding of software security, scalability, and maintainable code design., • Experience integrating GenAI or LLM-based technologies using frameworks such as LangChain or LlamaIndex (preferred)., • Knowledge of Agile methodologies and continuous integration tools., • Strong analytical, problem-solving, and communication skills., • Experience with ETL pipeline development (Azure ADF, AWS Glue, or GCP Dataflow)., • Familiarity with testing frameworks across C#, Python, or JavaScript., • Exposure to observability tools for distributed systems., • Collaborate with industry-leading professionals shaping digital and operational transformation., • Contribute to high-impact projects across diverse sectors., • Work in a culture that values continuous learning, innovation, and technical excellence., • Fully remote flexibility with opportunities for travel and cross-functional collaboration. Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. #RTA #JD-E2EProf

Job Description Software Engineer NYC AI Data Science Labs – Investment Management J Harlan Group is currently conducting a search for a Software Engineer at a prominent Investment Manager in their NYC AI Data Science Labs. This opportunity is available in both their New York City offices and at their brand-new AI Data Science squad in their new Baltimore location. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact on asset management This is a “hands-on” – “end-to-end” engineering opportunity with direct responsibility to Design, Develop, and Deploy autonomous AI systems as part of the firm's AI Data Science Labs' AI Engineering team. Collaborate in cross-functional squads, contribute to the Build-Operate-Transfer process, and help scale responsible AI solutions across the enterprise. The AI Data Science Labs is focused on building the firm's next-generation data and AI platforms, aiming to seamlessly deliver on-demand ML-powered insights across their firm. Responsibilities • Design, build, test, and deploy AI agents and intelligent systems for modern cloud-based, n-tier architectures., • Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights., • Championing engineering excellence by applying best practices in AI development, continuous integration, and code quality., • Contribute to projects on agent orchestration, prompt engineering, and real-time, data-driven automation., • Manage technical debt and drive ongoing improvements in AI platforms and infrastructure., • Proactively seek opportunities to apply AI agents for increased business value and operational efficiency., • Collaborate directly with business stakeholders to understand needs and priorities., • Make technology decisions that support current and future business objectives and fiscal responsibility., • Translate business requirements into effective technology solutions. The ideal candidate would have a background: • BS or MS in Computer Science or a related technical field (or equivalent experience), • 2+ years of professional development experience in an object-oriented language (Java, Python, or JavaScript preferred)., • Practical experience building AI-driven applications using LLMs, including:, • Prompt engineering, • Retrieval-augmented generation (RAG), • Vector search, • Agent-based workflows, • Model/tool orchestration, • Ability to integrate LLMs into cloud-native microservices and apply safety/guardrail patterns, implement human-in-the-loop review flows, and evaluate AI output for groundedness, reliability, and compliance., • Hands-on experience with cloud-native architectures (AWS, Azure), containerized microservices, and agent frameworks., • Strong analytical and problem-solving abilities., • Commitment to quality via automated testing, code reviews, and continuous delivery., • Results-driven with a passion for learning and staying current with emerging technologies. Preferred: • Experience with React and/or Angular., • Solid understanding of financial markets and financial instruments. An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for technology engineering high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a publicly owned global asset management firm with $1.8 trillion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The salary range is $118,000 - $202,000 plus employees may also be eligible for annual discretionary incentive compensation. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Work Flexibility: This role is eligible for remote work up to three days a week. Benefits: The firm invests in their people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions, • Flexible and remote work opportunities, • Health care benefits (medical, dental, vision), • Tuition assistance, • Wellness programs (fitness reimbursement, Employee Assistance Program), • Paid time off for vacation, illness, medical appointments, and volunteering days, • Family care resources, including fertility and adoption benefit

Job Description Job Description: As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value. Key responsibilities: • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams., • Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models., • Partner with data scientists to understand, implement, train, and design machine learning models., • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform., • Construct optimized data pipelines to feed machine learning models., • Extend existing machine learning libraries and frameworks., • Develop processes, model monitoring, and governance framework for successful ML model operationalization., • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results., • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations., • 7+ years of experience in Machine Learning., • Extensive software engineering experience with strong working experience as a Machine Learning Engineer., • Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred., • Advanced proficiency with Python, Java, and Scala., • Strong computer science fundamentals such as algorithms, data structures, multithreading., • Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG., • Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch, • In-depth experience building solutions using public clouds such as AWS, GCP., • Experience using ML platforms like SageMaker, H2O, DataRobot, etc., • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc., • Experience managing relationships in a cross-functional environment with multiple stakeholders., • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud., • Experience working in Agile/ Scrum development process., • Thought leadership and innovative thinking., • Excellent communication and collaboration skills.

Job DescriptionA World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Software Engineers at Palantir build software at scale to transform how organizations around the world use data. In this role, you’ll have an opportunity to grow more quickly than you ever envisioned as you contribute high-quality code directly to Palantir Gotham, Palantir Apollo, or Palantir Foundry: products that are deployed at some of the most important institutions across the public and private sectors. You'll create features used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters in countries around the world. Palantir's Product Development organization is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might join a team that builds a Foundry front-end application, or a component of the Gotham release infrastructure. We encourage communication and collaboration among teams to share context, skills, and experience, so you'll also have the opportunity to learn about other business areas. Core Responsibilities As a Software Engineer, you are involved throughout the product lifecycle - from idea generation, design, and prototyping, to execution and shipping, all while also being paired with a mentor dedicated to your growth and success. You'll collaborate closely with technical and non-technical counterparts to understand our customers' problems and build products that tackle them. One of the most effective ways to understand what our users need is to meet them. You may receive an opportunity to tour the assembly line at an auto-manufacturer or join a counter-terror analyst at their desk to really understand their mission and difficulties. SWE principles include: • Ownership: We see projects through from beginning to end in spite of obstacles we may encounter.• Collaboration: We work internally with people from a variety of backgrounds — such as other Software Engineers, Product Managers, Designers and Product Reliability Engineers. We also partner with our business development teams (Forward Deployed Engineers, Deployment Strategists) in order to understand and solve our customers' problems.• Trust: We trust each other to effectively handle time and priorities, and don't micromanage. We want people to have the space to think for themselves, while feeling supported by their team. Technologies We Use It doesn’t matter what languages you know when you join us; what matters is that you can write clean, effective code and learn new languages quickly. Our software is constantly evolving, so we need engineers who can do the same. Alongside peers that bring diverse experience - whether you’re a former university Teaching Assistant, switched to computer science recently, or are a hackathon enthusiast — you'll build your skills to apply the best technology to solve a given problem. Right now, we use: • A variety of languages, including Java and Go for backend and Typescript for frontend• Open-source technologies like Cassandra, Spark, Elasticsearch, React, and Redux• Industry-standard build tooling, including Gradle and GitHubWhat We Value • Ability to communicate and collaborate with a variety of individuals, including engineers, users and non-technical team members., • Willingness to learn and make decisions independently, and the ability to ask questions effectively., • Active US Security clearance, or eligibility and willingness to obtain a US Security clearance.What We Require, • Engineering background in fields such as Computer Science, Mathematics, Software Engineering, and Physics., • Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools., • Experience coding in programming languages, such as Java, C++, Python, JavaScript, or similar languages.To apply, please submit the following:, • An updated resume / CV - please do so in PDF format.

Job Description Cloud Data Engineer MUST be local to New York City; Hybrid Schedule, at least 3 days onsite Salary up to $145k No Sponsorship Available In this role, you will support all aspects of data engineering activities, including data design, development, testing, debugging, documentation, deployment, and production support. The ideal candidate will have strong expertise in building and managing data pipelines using PySpark, Python, SQL, and Airflow. Key Responsibilities: • Design, develop, and optimize scalable data pipelines on Databricks using PySpark to process large volumes of financial data for real-time analytics and reporting., • Implement ETL pipelines for structured and semi-structured financial data from batch and streaming processes using tools such as Apache Kafka, Airflow, and SQL., • Implement Gold Layer transformations in Databricks for curated, high-quality datasets that support business intelligence and analytics., • Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to deliver high-quality data solutions that meet business requirements., • Implement DevOps best practices for data engineering workflows, including CI/CD pipelines, to ensure efficient and reliable data processing., • Ensure data quality, governance, and compliance with financial regulations to support accurate and reliable financial reporting., • Automate workflows using Airflow for scheduling and orchestration, improving operational efficiency., • At least 3 years of experience with Databricks and PySpark for big data processing in a financial services environment., • 5+ years of strong programming experience in Python and advanced SQL., • Hands-on experience with Airflow for workflow orchestration, including designing and managing complex DAGs., • Knowledge of cloud platforms (Azure or AWS), including data lake architectures and related services such as Azure Data Lake Storage or AWS S3., • Understanding of financial domain data and regulatory requirements, with experience in handling sensitive financial information., • Proven experience with Databricks and PySpark for big data processing., • Strong programming skills in Python and advanced SQL., • Hands-on experience with Airflow for workflow orchestration., • Knowledge of cloud platforms (Azure or AWS or GCP) and data lake architecture., • Bachelor's degree in computer science., • Experience working in Agile/Scrum environments, with a strong understanding of Agile methodologies and practices., • Familiarity with CI/CD pipelines for data engineering, including tools such as Jenkins, GitLab CI, or Azure DevOps., • Background in financial services or investment banking, with experience in handling financial data and understanding industry-specific challenges.

Job Description Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role We’re looking for a Data Scientist to help power our marketing strategy. In this role, you’ll partner with Marketing, Product, and Finance to improve acquisition performance, refine attribution, and build the measurement foundations that guide our company’s growth. As the first Data Scientist dedicated to marketing analytics, you will define core success metrics, evaluate funnel performance, and uncover insights that shape our go-to-market strategy. Key Responsibilities * Analyze acquisition, lifecycle, and overall marketing performance to surface trends, identify funnel gaps, and highlight opportunities to improve efficiency and customer value. * Build and maintain predictive models that support forecasting, customer understanding, targeting, and personalization. * Develop and improve marketing measurement frameworks to better understand channel impact, attribution, and drivers of growth. * Conduct deep analyses of customer behavior, segments, and retention patterns to inform marketing and product strategy. * Design, run, and evaluate experiments (e.g., A/B tests) to measure the impact of marketing initiatives and guide decision-making. * Assess multi-channel campaign performance and provide clear recommendations to marketing partners to improve outcomes. * Work closely with cross functional teams and leadership to enhance data quality, evolve marketing datasets, and support scalable analytical workflows. * Communicate insights clearly and effectively, turning complex analyses into actionable recommendations for leadership and cross-functional teams. Requirements * Minimum of 5 years of experience in data science, marketing data science, or growth analytics within B2C, B2B, e-commerce, or SaaS environments. * Advanced proficiency in SQL and Python, including experience with data manipulation libraries and statistical modeling. * Hands-on experience with modern cloud data warehouses (e.g., BigQuery) and building scalable data models or pipelines for analytics. * Strong understanding of marketing measurement, including CAC, CLV, ROAS, funnel analytics, incrementality testing, and attribution methods (MMM, MTA, SKAN). * Experience with predictive modeling, such as LTV, churn, conversion propensity, clustering, and time-series forecasting. * Familiarity with mobile measurement partners, including AppsFlyer or Adjust, and mobile attribution concepts. * Experience designing and evaluating experiments, with a solid grounding in statistical testing, causal inference, and uplift modeling. * Demonstrated ability to work cross-functionally, partnering with Marketing, Product, Finance, and Data Engineering stakeholders. * Exceptional analytical and problem-solving skills, with the ability to break down ambiguous problems and operate autonomously in fast-paced environments. * Clear and effective communication skills, with the ability to convey complex technical insights to non-technical audiences. Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $150K - $200K

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. As a Software Engineer working on the Agent team at Radical, you’ll help build and push our AI agent towards scientific superintelligence. You’ll design, build, and maintain a variety of tools this agent can access and operate such as running Bayesian optimization, referencing scientific literature, querying against an internal experimental database, and queueing quantum chemistry simulation workflows. We work in a deeply technical domain—ML, materials science, and experimental automation—and your software will directly influence real-world outcomes.About You • 0 to 1 experience developing agents & agentic workflows in production., • Python expertise, including asynchronous programming, type checking, and packaging. You are comfortable with the modern Python AI ecosystem including frameworks such as LangChain and PydanticAI., • Developed and maintained agentic tools for retrieving data, leveraging internal & external APIs, writing & executing code, etc., • Developed and maintained data pipelines for ingesting, storing, and transforming source data for LLMs., • Experience with developing and debugging agentic patterns such as multi-agent cooperation, goal decomposition, context management, and autonomous operation., • Frontend engineering experience with Svelte, React, or similar frameworks. You’ve built responsive, real-time interfaces and care about state management, testing, and usability., • Comfort with telemetry, observability, and debugging tools—structlog, OpenTelemetry, Prometheus, Grafana, etc. You think about how systems fail and how to make failure modes easy to diagnose., • You're driven by technical depth and product impact. You want your code to directly influence what happens in the real world—and you’re eager to work alongside roboticists, ML engineers, and scientists to make that happen.Pluses, • Have built SDKs and developer tools., • Exposure to scientific computing, quantum chemistry, or ML-in-the-loop pipelines and infrastructure., • Experience working with structured telemetry, logs, or time-series data., • Comfort developing and debugging in hybrid on-prem/cloud environments (e.g., Docker, k8s).What 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, • Unlimited PTO and 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 DescriptionA World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Software Engineers at Palantir build software at scale to transform how organizations use data. Our Software Engineers are involved throughout the product lifecycle, from idea generation, design, prototyping, and production delivery. You will collaborate closely with technical and non-technical teammates to understand our customers' problems and build products that solve them. We encourage movement across teams to share context, skills, and experience, so you'll learn about many different technologies and aspects of each product. Engineers work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop, becoming a strong technical contributor and engineering leader. Our Product Development organization is made up of small teams of Software Engineers. Each team focuses on a specific aspect of a product. Our infrastructure teams are responsible for the lowest layers of our software stack, often focused on database technologies, distributed systems, large scale data systems, security, and application infrastructure. As a Software Engineer on infrastructure working on our Foundry platform, you'll contribute high-quality code to underpin Palantir Foundry and Gotham with performant, secure, and scalable building blocks, enabling products deployed to the most important institutions in the public and private sector. You'll build the foundational capabilities that power our products used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters, in countries around the world. We’re hiring engineers who are passionate about solving real-world problems and empowering both developers and end-users to work optimally. If you’re motivated to develop reliable, performant, and scalable systems, and to design robust APIs and primitives, this role offers the opportunity to make a significant impact on our products and the people who use them. Frontline Foundry Software Engineers may be offered the opportunity to Frontline, an exclusive program unlike any other. This unique, short-term assignment involves being embedded with customers, allowing you to work directly with users and gain firsthand insight into how our products are used and the challenges our customers face. Unlike traditional engineering roles, Frontline immerses you in complex, ambiguous problems, empowering you to deliver impactful solutions across some of the world’s most important industries and institutions. Some of our most successful products were built on the factory floor, addressing real-world problems for the world's most important institutions. These products were developed by some of our most successful product engineers, who began their careers in roles aligned with Frontline responsibilities, gaining a deep understanding of both our technology and our customers. Frontliners operate across a broad spectrum of responsibilities, much like a startup CTO. They work in small teams to own the end-to-end execution of high-stakes projects. This spectrum ranges from discussing architecture and building custom web apps to conducting workshops with users and strategizing with customer executives. No two days are alike, as each day is diverse and impactful. By witnessing how customers engage with Foundry and experiencing these pain points firsthand, you’ll gain unique insights that feed directly back into our development process, helping to refine and enhance our products.Core Responsibilities • Building a performant search and indexing ecosystem for complex granularly permissioned data, • Contributing to open-source data processing libraries, integrating the latest innovations to achieve performance gains, • Building the distributed systems that power large scale compute workloads, orchestrating and efficiently scheduling hundreds of thousands of containers every hour, • Designing architecture and opinionated APIs to keep application developers on the happy path, • Tracing and performance observability in high scale distributed microservice architectures, • Building reliant, performant, and scalable systems for storage, auth, or asset serving to enable other product teams to build robust applications without deep domain expertise in the underlying systems, • Automating the deployment, management, and operations of complex distributed systems like Cassandra, Elasticsearch, Kafka, and more across different environmentsTechnologies We Use, • Different backend languages, including Java, Rust, and Go, • Open-source technologies like Cassandra, ElasticSearch, Spark, Kafka, Kubernetes, Flink, • Industry-standard build tooling, including Gradle and GitHubWhat We Value, • Demonstrated ability to collaborate and empathize with a variety of individuals. Able to iterate with users and non-technical stakeholders and understand how technical decisions impact them., • Ability to learn new technology and concepts, even without in-depth experience. Experience developing and managing highly-available distributed systems is beneficial, but not required., • Bias towards quality and thoughtful about edge cases (“anything that can go wrong will go wrong”); writes code that is defensive against all possibilities., • Builds solutions and APIs with users in mind while maintaining a high engineering bar. Seeks to centralize and abstract complexity away from our users in order to expose simple, powerful APIs for consumers., • Active US Security clearance, or eligibility and willingness to obtain a US Security clearance is beneficial, but not necessary.What We Require, • Engineering background in Computer Science, Mathematics, Software Engineering, Physics or similar field., • Strong coding skills with demonstrated proficiency in programming languages, such as Java, C++, Python, Rust, or similar languages., • Familiarity with storage and data processing systems, cloud infrastructure, and other technical tools.

Job Description Capgemini is at the forefront of innovation, integrating AI technologies to enhance customer experience and streamline operations. We are seeking an experienced and innovative Verint AI Software Engineer to join our team supporting a premier U.S. Property & Casualty insurance carrier. This role is ideal for a technologist with deep expertise in Verint AI and a strong understanding of enterprise voice ecosystems, including CISCO, Google Cloud, and NICE. You will be instrumental in designing, developing, and optimizing AI-driven solutions that enhance customer experience, operational efficiency, and digital engagement. In this role, you will work closely with cross-functional teams to design, develop, and deploy AI-driven solutions that leverage Verint AI technology to address complex business challenges. Our Client is one of the United States’ largest insurers, offering a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world. This role offers a unique opportunity to work on innovative AI initiatives with a leading U.S. insurance carrier, within a collaborative environment that fosters innovation, creativity, and continuous learning. You'll gain exposure to enterprise-scale projects and advanced technologies, while enjoying a comprehensive benefits package that includes health coverage, retirement plans, and professional development support. Key Responsibilities: • Design, develop, test, and implement AI-based applications using Verint technology, including IVA and Speech Analytics., • Collaborate with business stakeholders to understand requirements and translate them into scalable technical specifications., • Analyze structured and unstructured data to develop AI algorithms that support intelligent decision-making and customer interaction., • Integrate Verint AI solutions with enterprise platforms such as CISCO telephony, Google Cloud services, and NICE workforce management systems., • Debug and improve existing Verint implementations for performance, scalability, and user experience., • Stay current with trends in AI, voice engineering, and social engineering to recommend innovative approaches and technologies., • Provide technical guidance and mentorship to junior developers, fostering a collaborative and growth-oriented environment., • Document technical specifications, architecture designs, and system integration processes. Benefits: • Opportunity to work on cutting-edge AI initiatives., • Collaborative work environment that promotes innovation and creativity., • Proven experience in software development with a strong focus on AI technologies and methodologies., • Direct experience with Verint solutions and platforms., • Demonstrated experience with Verint AI., • Deep familiarity with voice engineering technology ecosystems that include Verint, Google, CISCO, NICE and other similar technologies., • Strong programming skills in languages such as Python, Java, or C#., • Solid understanding of social engineering techniques and digital behavior analysis., • Ability to work effectively in a collaborative team environment., • Excellent problem-solving and analytical skills., • Effective communication skills, both verbal and written. Competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally renowned group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • Performance Bonus Note: Benefits differ based on employee level. About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported €22 billion in revenues in 2024.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Backend Engineers design, build, operate, and maintain the various cloud-based services that power Hinge. You’ll solve complex technical challenges and own a significant portion of the software stack that allows millions of users to find meaningful connections. You’ll write high-quality code, design reliable systems, and operate the software that you build by taking part in on-call. As a Backend Engineer, you’ll also be part of a diverse cross-functional team that includes partners in Product, Data Science, ML, iOS, Android, and Data Engineering. You’ll have a hand in defining and implementing the technical strategy for how we innovate in multiple product areas (e.g. Recommendations, Monetization, User Safety, etc.). Responsibilities • Design and build Web APIs for a microservice architecture., • Taking part in the backend On-Call rotation (around a week per quarter), • Design and develop distributed systems in Go using cloud infrastructure, ensuring high performance and scalability., • Lead projects end-to-end from technical design to implementation, while managing personal workload, meetings and timelines effectively., • Collaborate across teams promoting a culture of inclusivity, growth, and strong cross-functional communication.What We're Looking For, • 5+ years of industry experience as a backend/service engineer, • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure., • Strong programming skills: Proficiency with Go and Python is a bonus!, • System Design & Architecture: A deep understanding of distributed computing concepts, event based architecture, and cloud design patterns., • Collaboration and Communication skills: Solid writing skills paired with the ability to clearly communicate complex ideas to teammates from both technical and non-technical backgrounds. #Hinge 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 DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Join Hinge as a Staff AI Engineer for Trust & Safety Operations, where you’ll lay the cornerstone of our agent-powered future. You will architect the foundational workflows, guardrails, and tooling that turn AI agents into everyday teammates for our Moderation, Appeals, and Support operators. Think of it as building the “operating system” for AI within Trust & Safety: establishing the orchestration layer, standardizing tool schemas, automating the agent lifecycle, instrumenting real-time monitoring, and ensuring every solution is robust, scalable, efficient, and responsible. You’ll collaborate closely with operations professionals and engineers, meet non-technical stakeholders where they are, and deliver value in tight, incremental loops tied directly to solving their biggest problems. Because we’re still early in our agent journey, you’ll enjoy a broad scope with an expectation of mentoring peers, shaping best practices, and defining the north star for AI-native operations at Hinge. If you’re energized by building green-field systems that leverage AI to solve challenging problems, this is your invitation to help write the next chapter of Trust & Safety to create a safer and more meaningful user experience on their journey to find an intimate connection.Responsibilities • Own the technical roadmap for AI automation across Moderation, Appeals, and Support workflows, driving discovery and prioritization of high-impact AI automation opportunities while providing hands-on technical leadership from concept to production., • Prototype agentic solutions using the latest platforms and frameworks and integrate them with existing internal and third-party tools and systems., • Deliver reliable, scalable, and robust automations with the appropriate evaluations, guardrails, human oversight, and clear performance monitoring., • Drive adoption by producing documentation, running hands-on training and enablement sessions for non-technical operators, and curating prompt libraries and playbooks that empower self-service iteration., • Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to improving operational efficiency., • Embed safety, privacy, auditability, and responsible-AI standards into every workflow in partnership with Legal and Security teams., • Agentic & workflow-orchestration expertise: Proven ability to design, build, and operate multi-step LLM agents with modern coordination frameworks., • Applied AI engineering & prompt craft: Deep Python skills plus hands-on experience integrating foundation models and crafting robust prompts and utilizing vector databases., • Rapid prototyping & experimentation: Comfortable shipping quick proofs of concept, running A/B or shadow launches, and iterating based on data., • Backend, data-systems & tool integration: Skilled at wiring external services and internal data into agent workflows through well-designed APIs and schemas., • Human-in-the-loop system design: Able to blend automation with human oversight through clear escalation paths, review checkpoints, and moderator tooling., • Operator enablement & training: Talent for translating technical workflows into clear, actionable training for non-technical teams and supporting their day-to-day adoption., • 7+ years of software or machine-learning engineering experience, with a recent focus on AI-driven automation or agentic systems., • 2+ years delivering solutions that combine automated decision support with human-in-the-loop review, ideally in Trust & Safety, customer support, or adjacent domains., • 2+ years designing and tracking operational metrics that demonstrate ROI, accuracy, and user-experience improvements for automated workflows., • 1+ years of hands-on work prototyping or operating agentic workflows (e.g., MCP, Agentspace, n8n) in real-world or open-source projects. #Hinge 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 DescriptionA World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Backend Software Engineers at Palantir build software at scale to transform how organizations use data. Our Software Engineers are involved throughout the product lifecycle, from idea generation, design, prototyping, and production delivery. You will collaborate closely with technical and non-technical teammates to understand our customers' problems and build products that solve them. We encourage movement across teams to share context, skills, and experience, so you'll learn about many different technologies and aspects of each product. Engineers work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop, becoming a strong technical contributor and engineering leader. Our Product Development organization is made up of small teams of Software Engineers. Each team focuses on a specific aspect of a product. Our infrastructure teams are responsible for the lowest layers of our software stack, often focused on database technologies, distributed systems, large scale data systems, security, and application infrastructure. As a Software Engineer on infrastructure, you'll contribute high-quality code to underpin Palantir Foundry and Gotham with performant, secure, and scalable building blocks, enabling products deployed to the most important institutions in the public and private sector. You'll build the foundational capabilities that power our products used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters, in countries around the world. We’re hiring engineers who are passionate about solving real-world problems and empowering both developers and end-users to work optimally. If you’re motivated to develop reliable, performant, and scalable systems, and to design robust APIs and primitives, this role offers the opportunity to make a significant impact on our products and the people who use them.Core Responsibilities • Building a performant search and indexing ecosystem for complex granularly permissioned data, • Contributing to open-source data processing libraries, integrating the latest innovations to achieve performance gains, • Building the distributed systems that power large scale compute workloads, orchestrating and efficiently scheduling hundreds of thousands of containers every hour, • Designing architecture and opinionated APIs to keep application developers on the happy path, • Tracing and performance observability in high scale distributed microservice architectures, • Building reliant, performant, and scalable systems for storage, auth, or asset serving to enable other product teams to build robust applications without deep domain expertise in the underlying systems, • Automating the deployment, management, and operations of complex distributed systems like Cassandra, Elasticsearch, Kafka, and more across different environmentsTechnologies We Use, • Different backend languages, including Java, Rust, and Go, • Open-source technologies like Cassandra, ElasticSearch, Spark, Kafka, Kubernetes, Flink, • Industry-standard build tooling, including Gradle and GitHubWhat We Value, • Demonstrated ability to collaborate and empathize with a variety of individuals. Able to iterate with users and non-technical stakeholders and understand how technical decisions impact them., • Ability to learn new technology and concepts, even without in-depth experience. Experience developing and managing highly-available distributed systems is beneficial, but not required., • Bias towards quality and thoughtful about edge cases (“anything that can go wrong will go wrong”); writes code that is defensive against all possibilities., • Builds solutions and APIs with users in mind while maintaining a high engineering bar. Seeks to centralize and abstract complexity away from our users in order to expose simple, powerful APIs for consumers., • Active US Security clearance, or eligibility and willingness to obtain a US Security clearance is beneficial, but not necessary.What We Require, • Engineering background in Computer Science, Mathematics, Software Engineering, Physics or similar field., • Strong coding skills with demonstrated proficiency in programming languages, such as Java, C++, Python, Rust, or similar languages., • Familiarity with storage and data processing systems, cloud infrastructure, and other technical tools.

Job Description Senior AI Software Engineer NYC AI Data Science Labs – Investment Management J Harlan Group is currently conducting a search for a Senior AI Software Engineer at a prominent Investment Manager in their NYC AI Data Science Labs. This opportunity is available in both their New York City offices and at their brand-new AI Data Science squad in their new Baltimore location. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact on asset management This is a “hands on” – “end to end” engineering opportunity with direct responsibility to Design, Develop, and Deploy autonomous AI systems as part of the firm's AI Data Science Labs' AI Engineering team. Collaborate in cross-functional squads, contribute to the Build-Operate-Transfer process, and help scale responsible AI solutions across the enterprise. The AI Data Science Labs is focused on building the firm's next generation data and AI platforms, aiming to seamlessly deliver on demand ML powered insights across their firm. Responsibilities: -Design, build, test, and deploy AI agents and intelligent systems for modern cloud-based, n-tier architectures. -Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights. -Championing engineering excellence by applying best practices in AI development, continuous integration, and code quality. -Contribute to projects on agent orchestration, prompt engineering, and real-time, data-driven automation. -Manage technical debt and drive ongoing improvements in AI platforms and infrastructure. -Proactively seek opportunities to apply AI agents for increased business value and operational efficiency. -Collaborate directly with business stakeholders to understand needs and priorities. -Make technology decisions that support current and future business objectives and fiscal responsibility. -Translate business requirements into effective technology solutions. The ideal candidate would have a background: -BS or MS in Computer Science or a related technical field (or equivalent experience) -5+ years of professional development experience in an object-oriented language (Java, Python, or JavaScript preferred). -Hands-on experience with cloud-native architectures (AWS, Azure), containerized microservices, and agent frameworks. -Experience with React and/or Angular - Preferred -Solid understanding of financial markets and financial instruments - Preferred -Strong analytical and problem-solving abilities. -Commitment to quality via automated testing, code reviews, and continuous delivery. -Results-driven with a passion for learning and staying current with emerging technologies. An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for technology engineering high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a publicly owned global asset management firm with $1.8 trillion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: -Analytic and relentless in pursuit of the right answer -Strong communicators who excel at rapid synthesis -Able to demonstrate sound business judgment -Able to digest complexity while maintaining an understanding of the “big picture” of business needs -Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The salary range is $148,000 - $253,000 plus employees may also be eligible for annual discretionary incentive compensation. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Work Flexibility: This role is eligible for remote work up to three days a week. Benefits: The firm invests in their people through a wide range of programs and benefits, including: -Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions -Flexible and remote work opportunities -Health care benefits (medical, dental, vision) -Tuition assistance -Wellness programs (fitness reimbursement, Employee Assistance Program) -Paid time off for vacation, illness, medical appointments, and volunteering days -Family care resources, including fertility and adoption benefit

Job DescriptionWho you are: You’re a hands on Senior Data Engineer with strong Python skills and experience building robust data pipelines in cloud environments. You enjoy solving complex data problems, working cross-functionally, and building the infrastructure that powers analytics and product development. You’re ready to take the next step in your career at a company where your work will directly impact the business and customer experience. Does this sound like you? If so, keep reading and apply today!What you’ll do: • Design, build, and maintain reliable data pipelines to support internal analytics and customer-facing product features., • Architect, develop, and maintain robust data infrastructure using structured (Postgres) and non-structured databases (MongoDB), • Write, optimize, and maintain extensive SQL queries and scripts to support complex data retrieval and analysis., • Design, develop, and manage ETL processes using APIs to integrate various data sources seamlessly into our analytics environment., • Perform database optimization, performance tuning, and capacity planning to ensure maximum efficiency and reliability., • Own data integrations across systems and ensure data is clean, validated, and well-modeled., • Collaborate closely with data scientists, analysts, and software engineers to ensure the right data is available in the right format at the right time., • Leverage modern data tools and cloud infrastructure to build scalable solutions that meet business and technical requirements., • Troubleshoot data issues and continuously improve pipeline performance and observability.What you have:, • Advanced proficiency in Python and SQL in a production environment, including query optimization and schema design., • Proven experience working programmatically with structured (Postgres) and unstructured (MongoDB) databases., • Strong background in database performance optimization and capacity planning., • Demonstrated expertise in developing and maintaining ETLs using APIs and automation frameworks., • Experience with cloud platforms such as AWS (especially services like Redshift, or S3)., • Solid understanding of data modeling and best practices for data integrity and security., • Deep expertise with Spark., • Working knowledge of Terraform, Kubernetes, and CI/CD workflows., • Excellent communication and collaboration skills, with the ability to work cross-functionally and translate technical concepts to non-technical audiences., • Experience with orchestration tools like Prefect or Airflow., • Exposure to modern data workflows, notebooks, and warehouse modeling., • Ensure data quality and integrity through proactive monitoring, testing, and validation processes.Why join Polly?, • High Bar of Talent: Polly consistently performs in the top quartile of start-up companies, and we consider the people of Polly the engine helping us achieve success. Many candidates choose Polly because of the collaborative, smart, and fun people that work here. We strive to hire the best to continue to raise that bar, and <5% of those that enter the interview process are presented with an offer., • Disruptive Mission: Mortgage capital markets is historically an under-innovated space; Polly is committed to changing that. Our purpose-built platform has reimagined and reinvented the way that our lender customers operate. We are seeking passionate and driven builders who are not interested in accepting the status quo., • Individual Impact & Growth: Every day, the Polly team doesn’t just work—they contribute to our overarching mission. Individual impact is highly visible and everyone’s voice matters. You will have exposure to every level of leadership, cross-functional teams, and impactful projects, giving you a unique opportunity to build and hone your skills., • Hybrid Workplace with Innovation at the Core: Here at Polly, we believe in blending flexibility with in-person collaboration. With a hybrid model, our employees work on site three days a week (Tues./Wed./Thurs.) at our Innovation Hubs, located in Dallas-Fort Worth and San Francisco (remote available for this role, hybrid strongly preferred), driving forward-thinking solutions and fostering teamwork.Employee Benefits:, • Competitive Compensation: Polly offers competitive salaries designed to reward your expertise and direct impact/contributions., • Comprehensive Health Coverage: Employees enjoy 100% company-paid medical, vision, dental, disability, and life insurance, granting peace of mind., • Flexible Vacation, Done Right: Take time off to recharge when you need it with Polly’s flexible, non-accrued vacation policy—because we trust you to balance work and life., • Hybrid Environment: Polly employees work on site three days a week (Tues./Wed./Thurs.) at our Innovation Hubs, located in Dallas-Fort Worth and San Francisco.Interview Process, • Recruiting Screen - 30 minute 1:1 with a Polly Talent Team Member, • Initial Team Round - 30 minute 1:1 with Polly’s Data Science Lead, • Assessment - Live Assessment

Job Description • Unfortunately, no visa sponsorship or transfer will be provided with this position., • If you're up for the challenge, we'd love to hear from you. When you click apply, there will be an application form for you to complete. It should take around 5 to 10 minutes to complete. Cornspring is an innovative start-up FinTech company, with a mission to empower Family Offices and Asset Owners with real-time, AI driven data intelligence and portfolio insights. The tools we are building are solving one of the most complex and valuable challenges in Finance. Our clients operate at the highest levels of global finance, managing billions in assets. Yet, legacy systems fail them: slow, fragmented, and outdated. Cornspring is redefining Family Office services by leveraging state-of-the-art generative AI and Large Language Models to provide unparalleled insights and efficiency to Family Office investment and accounting data. This is a high-ownership environment, and we need exceptional engineers who bring a mix of talent and passion to join us on our incredibly exciting journey. We are currently looking for a top-tier Senior Data Engineer with deep expertise in Python programming in a financial context. This is a pivotal role, where you will be tackling technically challenging problems and working with cutting edge AI technology. You will be reporting to the Head of Data Operations and will be working alongside a team of talented engineers. • You will be responsible for developing and maintaining our ETL pipelines, handling diverse data formats, and ensuring data quality and consistency., • You'll work on automating data processing workflows while implementing robust validation and error handling mechanisms to maintain data integrity., • You will conduct testing on data movement, transformation code, and data components to ensure integrity, accuracy, and high-quality deliverables for all data processing., • You will design and implement data solutions for new initiatives and provide continuous oversight for existing solutions to improve quality and performance., • You will assess and integrate new data sources into pipelines to meet evolving business needs., • The role requires a strong expertise in Python data manipulation libraries and a solid understanding of financial data structures., • University degree in Computer Science, Software Engineering or equivalent., • Solid data engineering experience., • Experience designing and maintaining ETL pipelines, integrating data from multiple sources (including APIs)., • Experience working with remote teams., • Competitive salary., • Hybrid working: we work from a beautiful office in Manhattan 2 days a week., • Being part of a revolutionary movement in Family Office technology., • Working with cutting-edge AI and data technologies., • Challenging projects that make a real impact to our sector.

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR 1Vxvxla96D

Job DescriptionSalary: Senior Elixir Engineer at Vic.ai Remote Location: Remote This is a fully remote position, full-time, with flexible working hours and work arrangements. About Vic.ai Vic.aiis creating the Intelligent Accounting era, using artificial intelligence to automate accounting and provide advisory, business insight, and eventually businessforesight. Were a Series A stage start-up, founded by three Norwegian entrepreneurs and backed by renowned Silicon Valley investors (including Costanoa Ventures, Cowboy Ventures, and GGV Capital). Were US-based, but our team is global, from New Zealand to California. Were bringing AI to Finance and Accounting because the industry is ripe for automation and big-data insight and the market ishuge: $200B just in the US. Our main office locations is in New York. We have a well established remote-work culture, and over 50% of our team are working fully remote. We have a solid team of very experienced, yet humble, Elixir engineers, will you be our next team member? About you Youve been a software engineer for 5+ years, but youve been a tinkerer and a builder your whole life. Were a team of builderswhen we arent building Vic.ai, were tinkering with a personal project, contributing to open source, modding a drone, building a computer from components, etc. Were looking for an experienced developer who enjoys working with server-side technologies. You possess a good mixture of DevOps and application development skills and would like to build innovative solutions with experienced teammates in a flexible environment. You should have plenty of experience in building performant, easy to use, well-monitored, and well tested APIs, designing efficient data flows, communicating clearly, sharing knowledge, and questioning existing solutions. Youre ready for the next step in your career, ready to take on fast-moving challenges. Youre enthusiastic about AI and the possibilities it opens for software development and transforming traditional work. You aim at reaching greatness and delivering exceptional outcomes in your work. As a team player, you are not afraid of reaching out to your colleagues to discuss development challenges, especially when you are stuck trying to solve a specific issue. You are fluent in English. Job Requirements • Advanced Elixir programming experience is a must, • Solid understanding of working in Linux shells, • Ability to spin up servers, setting them up and make them available for application deploys, • Having great understanding of the value of automated tests, and ability to implement them across the whole stack, • Designing efficient deploy flows and continuous integration, • Solid knowledge of key-value stores, SQL, and relational databases; preferably PostgreSQL, • Ability to implement and maintain robust concurrent background job systems, having a grasp of concurrency patterns and message queues, • Fluent English, spoken and written, clear and effective daily communication with the team What youll do • Build and deploy high-uptime products and infrastructure as part of the Vic.ai platform, • Integrate Elixir systems with non-uptime-critical systems in Python, • Design and establish validation, testing, correctness, and resilience best practices across teams, • Ship products and services as part of a small, collaborative team, • Help establish engineering process, tools, and systems that will allow us to scale the code base, productivity, and the team Who we're looking for: • BS (or higher) in Computer Science or a related technical field, or equivalent technical experience, • 5+ years of relevant work experience, • Professional experience with Elixir programming language, • Track record of shipping high-quality products and features, • Ability to turn business needs into engineering solutions As an early employee, you'll be working with a small team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture. We Offer We're not just fully remote, we also offer Competitive salary Generous vacation time, family and travel-friendly environment Work alongside an enthusiastic, collegial, and driven team in a highly meritocratic environment Above all, you should enjoy the journey. Our engineers are creative, technical, smart, and genuinely like each other. They enjoy the work they do, and so should you!

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 opportunityData is core to Radical AI's mission and as a Data Engineer, you'll collaborate with cross-functional teams (software, ML, materials science) to build robust data solutions. You will be directly involved in designing, building and maintaining infrastructure to support agentic workflows for our AI materials design engine, as well as maturing our existing data infrastructure that relates to our autonomous lab. In this you'll create a best-in-class system to accelerate Radical AI's ability to develop the next evolution of scientific progress and get to work at the intersection of cutting edge models, autonomous experimentation, and materials science. As a foundational member of the team, you'll have the opportunity to shape the standards, culture, and values of the data engineering team.Mission • Work side by side with AI researchers and engineers, shaping the next generation of autonomous systems for materials discovery., • Own the end-to-end planning, execution, and delivery of largescale data initiatives., • Drive a continuous improvement culture through retrospectives, process streamlining, and lean execution experiments., • Help define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making within scientific discovery., • Design and implement data pipelines connecting our autonomous lab with operational and product systems, including our AI-driven discovery engine., • Build and support scalable, audit-proof architecture., • Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains., • Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation.About you, • B.S. or M.S. in Computer Science, Information Security, Engineering, or a related field, or equivalent practical experience., • 6+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets., • Strong background in computer science: algorithms, data structures, system design and data modeling., • Strong Python and/or Go skills and and experience deploying production-grade code (not just notebooks)., • Experience with relational SQL/NoSQL databases and data lakehouse/warehouse frameworks (e.g., BigQuery, Snowflake, Redshift, Databricks)., • Experience with data pipeline frameworks (e.g., Beam, Spark, Kafka, Pulsar, etc.), modern data orchestration frameworks (e.g., Dagster, Prefect), and cloud-native storage (e.g., S3, ADLS)., • Experience with large scale distributed system design, operation and optimization., • Experience with lightweight, embedded analytical databases (e.g., Duckdb, SQLite)., • Proficient at scaling up and managing high-volume document ingestion pipelines., • An experimental mindset: comfortable testing hypotheses, learning from failures, and iterating quickly; doesn’t shy away from problems with no right answer., • Proven ability to scope ambiguous problems, develop end-to-end solutions, and communicate outcomes effectively.Pluses, • Experience with vector databases (e.g. Pinecone, pgvector, Qdrant, TurboPuffer, etc.)., • Knowledge of or experience with aagentic processes and/or frameworks (e.g., LangChain, CrewAI, PydanticAI, AutoGen, etc.)., • Demonstrated experience with LLMOps (e.g., Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning, etc.) 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 DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR eo3X22hHCS

Job DescriptionOur Mission: Hospital-Quality Care, Everywhere. The healthcare industry still relies on faxes and phone tag to coordinate critical care for patients at home. We think patients and the clinicians who serve them deserve better than a system stuck in 1995. Verse Medical is building the modern software infrastructure to make it happen. We're a well-funded Series C company (backed by General Catalyst, SignalFire, and Sapphire Ventures) on a mission to heal a fragmented system. Our platform connects the dots between providers, payors, and patients, ensuring people get the high-quality care they need, reliably and right where they live. We’re growing fast and looking for people who are driven by this mission to join us! Our Values: The Principles That Guide Us Our values are the operating system for how we work together and with our partners. They aren't just words on a wall; they are the principles we bring to every decision, every day. * We are transparent, upfront and direct. We operate with honesty and clarity. We share information openly, the good and the bad, and believe that direct, respectful feedback is the foundation of trust and progress. * We value speed of iteration. We are building something new, which means we learn by doing. We prioritize rapid iteration and getting solutions into the hands of users, believing that progress is more valuable than perfection. * We give 110% effort, 30% of the time. We are passionate about our mission, and there are moments that require us to go the extra mile. We believe in focused intensity when it counts, balanced by a sustainable pace that keeps our team energized for the long run. * We empathize with customers to a fault. When our users face a problem, we own it. Instead of asking them to change, we ask ourselves, "How can we make this better?" We believe true innovation comes from deep empathy and a relentless focus on solving the real-world challenges of healthcare. Your Impact: How You'll Help Us Heal a Broken System As a Sr. Full Stack Software Engineer, you'll be shaping the future of at-home care. You'll be a key part of the team, working closely with customers & internal teams to define exactly what needs to be built. Our engineers deeply understand our users’ and internal needs, which has been a big key to our success. What You'll Achieve: A Glimpse into Your Contributions Within your first year, you will have the opportunity to: * Build software for hospitals and patients that will make their lives easier. * Find creative solutions to complex technical and product problems. * Build prototypes fast, but with a path in mind to turn them into robust systems over time. * Operate with a lot of independence and responsibility in solving complex issues. * Work with relevant stakeholders outside of engineering to figure out the right solutions to issues. What You'll Bring: The Skills for Our Shared Mission We believe that diverse experiences and backgrounds lead to better solutions. While we have an idea of what will help someone succeed in this role, we are open to being convinced by your unique story and skills. If you believe you can achieve the outcomes above, we encourage you to apply. Core Skills & Experience: * At least 4 years experience building, shipping, and maintaining full-stack applications in a production environment. * Advanced degree in Computer Science or other relevant technical focuses. * Proficiency in building applications with both backend (e.g., Python, TypeScript/JavaScript) and frontend (e.g., React, Vue) technologies. * A strong command of SQL and experience designing and querying relational databases (e.g., PostgreSQL, MySQL). * The ability to articulate complex technical concepts clearly to both technical and non-technical audiences. Our Team & Our Tools You'll be joining the Engineering team, a group of talented innovators who value pragmatism, simplicity, and speed of execution. We collaborate closely and believe the best ideas can come from anywhere. The tools and technologies you'll use include * Languages: Python, Typescript * Frameworks: Flask, React, Apollo GraphQL * Infrastructure: Postgres, Airflow, AWS, Google Cloud Platform The Rewards & Reality: Compensation, Benefits & Logistics We believe in taking care of our team, both professionally and personally. Here’s what we offer: * Meaningful Compensation: $160,000-$200,000 base salary + equity * While our compensation bands provide a clear framework, every candidate is assessed on a case-by-case basis. Your final offer will be thoughtfully determined by your individual experience, interview performance, and current market data. * Comprehensive Health & Wellness: We cover 100% of your health insurance premium and provide access to high-quality dental and vision insurance plans for you and your dependents. * Plan for the Future: We offer a 401(k) plan to help you save for your future. At this time, the company does not offer a 401(k) match. * Career Growth: You'll have opportunities for rapid career advancement in a company that's at a major inflection point. We want you to grow with us. Work Environment & Location * This role is based in our New York City office in Chelsea. We have a hybrid model, with a requirement of 4 days per week in the office to foster collaboration and innovation. * Please note that at this time, we are not able to provide visa sponsorship for this position. All candidates must be authorized to work in the United States. Our Pledge for an Equitable Future At Verse Medical, our mission is to deliver equitable, hospital-quality care to everyone, regardless of their background or where they live. We can only achieve this if our own team reflects the diversity of the patients we serve. We are committed to building a workplace where everyone feels a sense of belonging, where their contributions are valued, and where they can do their best work. We embrace diversity of all kinds—race, gender, age, religion, identity, experience—and are actively working to build a more inclusive and equitable world, starting from within our own walls. We are an equal opportunity employer. We are also committed to providing a positive and accessible interview experience. If you require any accommodations to participate in our process, please contact us at . Compensation Range: $160K - $200K

Job DescriptionOXMAN OXMAN is a hybrid Design and R&D company that fuses design, technology, and biology to invent multi-scale products and environments. The fusion of disciplines within our work opens previously impossible opportunities within each domain—allowing design to inspire science and science to inspire design. At OXMAN, we question dominant modes of design that have divorced us from Nature by prioritizing humanity above all else (human-centric design). Although it is design that has caused this rift, we believe that design also offers the greatest opportunity to heal it. We propose a Nature-centric approach that delivers design solutions by, for, and with the natural world, while advancing humanity. In this pursuit, we reject all forms of segregation and instead call for a radical synergy between human-made and Nature-grown environments. This approach demands that we design across scales for systems-level impact. We consider every designed construct a whole system of heterogeneous and complex interrelations—not isolated objects—that are intrinsically connected to their environments. In doing so, we open ourselves up to moving beyond mere maintenance toward the advancement of Nature. Summary OXMAN is seeking a Research Engineer with expertise in Deep Reinforcement Learning, Deep Generative Modeling, and Data-Driven Design Optimization to join our interdisciplinary team. Leveraging advanced computational techniques, you will develop innovative design methods that support and enhance ecological processes, bridging human-made and natural environments.In this role, you will explore the intersection of generative design methods and data-driven optimization strategies. Your primary objective will be creating approaches that integrate generative design, ecosystem simulation, and optimization techniques to enhance ecosystem services benefiting both humans and natural biodiversity. You will develop and test generative models and procedural techniques for designing environments, behaviors, and scenarios. These designs will be evaluated and refined through data-driven optimization and reinforcement learning methods, aiming to maximize positive ecological outcomes, such as biodiversity and resilience. Please provide cover letter and portfolio if available. Responsibilities • Develop and refine advanced deep generative models and reinforcement learning algorithms to generate, explore, and optimize built-environment design strategies aimed at enhancing ecosystem services., • Create decision-making frameworks that combine procedural generation with machine learning and data-driven optimization, improving interactions between built and natural environments., • Investigate and implement interfaces between procedural generation techniques, machine learning approaches, and deep generative modeling., • Collaborate with computational ecologists to integrate generative design frameworks with ecosystem simulation models, producing architectural and infrastructural designs that interact positively with natural environments., • Apply optimization and reinforcement learning techniques to align generative design outputs with ecological performance indicators, such as species richness, carbon sequestration, and water management., • Collaborate with data scientists and ecologists to incorporate extensive, diverse datasets (remote sensing, climate data, biodiversity records) into generative and optimization methodologies., • Contribute to model validation by comparing simulated results to empirical ecological data, ensuring accuracy and reliability., • Prepare detailed technical documentation of methods, assumptions, and implementations to support reproducibility and knowledge sharing.Qualifications, • Ph.D. or equivalent experience in Computer Science, Machine Learning, Operations Research, or related fields., • Proven experience developing and deploying deep generative models, reinforcement learning algorithms, and data-driven optimization methods in practical design problems., • Strong knowledge in mathematical modeling, probabilistic methods, simulation techniques, procedural modeling, and complex systems., • Proficiency in handling and analyzing large, heterogeneous datasets (environmental, climate, remote sensing) using Python, C++, or similar languages., • Experience with GIS tools and remote sensing technologies for geospatial analysis., • Demonstrated ability to work in cross-functional teams, bridging machine learning research with ecology, architecture, engineering, and design., • Enthusiasm for pushing boundaries in design and science; ability to merge rigorous computational methods with innovative thinking.

Job DescriptionDescription: Hybrid Onsite | 3 days per week onsite in mid-town Manhattan As a Senior ETL QA Engineer, you will be involved throughout the development lifecycle with particular responsibility for the quality assurance of software development and deployment, with emphasis on manual test case creation and execution. You will work closely with developers to ensure requirements are met with the correct quality standards and conduct manual tests to ensure the software created is fit for purpose. You will also be responsible for creating, executing, and managing test cases for various kinds of testing such as functional, end-to-end, integration, and regression, along with proper reporting and tracking of bugs Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Pay: $50 - $57/hr W2 Responsibilities: • Work as part of cross-functional, passionate Agile project teams to ensure quality is driven into the heart of the development process from requirements definition through delivery., • Translate functional requirements and specifications into documented test plans, cases, and steps., • Peer review test cases and ensure test coverage., • Conduct exploratory testing., • Execute functional test plans manually., • Create and maintain test data, tools, and scripts., • Contribute toward predictable delivery of quality releases., • Identify issues, risks, and dependencies, escalating and managing where appropriate., • Report bugs and errors to development teams., • Highly Proficient in SQL skills, • Extensive ETL / Data Warehouse Testing, • Batch Testing, • 7+ years of overall testing experience as a lead QA engineer supporting enterprise web applications., • 4+ years of DB/ETL processes/Data Warehouse Testing experience., • Experience in Batch Testing., • Experience in EDI Testing., • Experience in File Ingestion Testing and Data Quality Testing., • Experience using Python programming to automate data quality checks, data profiling, and anomaly detection., • Proven experience in writing and executing manual test cases (functional, end-to-end, integration, etc.)., • Thorough understanding of SDLC and QA processes in an Agile delivery environment., • Excellent working knowledge of testing fundamentals and test case design techniques., • Ability to discover, integrate, and organize test data by implementing an effective Test Data Management Strategy., • Proficient with bug tracking and test management tools (e.g., Zephyr for JIRA)., • Ability to write intermediate to complex SQL scripts to create and manipulate data, with experience in data migration testing., • Functional knowledge of databases such as Oracle, SQL Server, PostgreSQL., • Experience with DDL, DML, and DQL SQL syntaxes, functions, joins, and operators., • Experience with database validations and data quality testing., • Ability to understand applications, batch flows, and associated services in relation to service levels and impacts., • Proficient in utilizing an enterprise scheduling solution (e.g., IBM Workload Scheduler) to monitor and manage batch processing., • Operational experience with file transfer protocols such as FTP and SFTP., • Experience with AWS or other cloud platforms., • Experience in Reports Testing using Business Objects, Crystal Reports, or similar., • Strong collaboration skills with the ability to develop and maintain relationships across teams., • Excellent attention to detail and strong communication skills, both verbal and written. Education Requirements: • Bachelor’s or Master’s degree in Computer Science. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate. Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job DescriptionCompStak is a pioneer in crowdsourced commercial real estate (CRE) data and analytics. Our platform transforms raw lease, sales, and property data into actionable insights for brokers, lenders, landlords, and investors. As we expand our data products, the scale and sophistication of our data pipelines and analytical systems are critical to delivering reliable, timely, and high-quality insights to our customers. Location: New York, NY (Hybrid- Three days per week in the office, subject to change) We are seeking an Applied Data Scientist – Econometrics with a strong foundation in economics, econometrics, finance, or commercial real estate and an interest in applying quantitative modeling to real-world market behavior. This role is ideal for someone who understands how markets work, has experience working with data, and wants to apply (and grow) modern analytical and data science methods within a commercial real estate context.In this role, you will help shape how CompStak analyzes, models, and interprets market dynamics by combining domain expertise with econometric and quantitative techniques. Your mission is to:-Apply econometric and statistical modeling to analyze and forecast trends in commercial real estate and related economic drivers.-Learn and apply modern analytical and machine learning techniques as needed to enhance insights and support CompStak’s data products.-Build scalable workflows that integrate structured CRE datasets with new, unstructured sources to support data enrichment and automation.-Collaborate closely with engineering, product, and data teams to develop data-driven solutions.-Bridge domain knowledge and quantitative methods to deliver models that are accurate, interpretable, and meaningful for business decisions.Responsibilities • Develop econometric and predictive models: Use quantitative methods to identify patterns, forecast trends, and interpret economic relationships in CRE markets., • Build and optimize data workflows: Create and refine data ingestion and transformation pipelines for structured and unstructured commercial real estate datasets., • Ensure data quality: Clean, validate, and reconcile datasets from diverse sources to ensure accuracy and reliability., • Communicate insights: Translate complex quantitative analysis into clear, actionable insights for both technical and non-technical stakeholders., • Stay current: Keep up with developments in econometrics, applied analytics, and trends in CRE markets and data science.Skills & Experience, • 3+ years of experience in an econometrics-focused or analytical role (e.g., economics research, finance, market analysis, consulting, commercial real estate, or corporate strategy)., • Strong understanding of econometrics, applied statistics, and quantitative modeling, demonstrated through academic or professional experience., • Proficiency in Python and familiarity with analytical/ML libraries (pandas, NumPy, scikit-learn, XGBoost)., • Experience working with large or complex datasets and using data to study market dynamics., • Excellent organizational, communication, and stakeholder management skills., • Bonus: Hands-on experience or interest in LLMs, embeddings, NLP tools, or modern ML frameworks (e.g., Hugging Face, LangChain, PyTorch/TensorFlow).

Job DescriptionFounded by NASA, Google, Sidewalk Labs, Waymo, and Cruise experts, Thalo is a tech-enabled services company transforming the HVAC industry with next-generation sensing and AI-powered intelligence. Heat pump and other HVAC failures cost billions in emergency repairs and wasted energy annually, and are managed by an increasingly short-handed labor pool. Thalo is building an AI-powered platform transforming static assets into self-monitoring, high-performance systems, empowering technicians to shift from reactive fixes to proactive service. Our team has built self-driving cars at Waymo, worked on satellite imagery at Google, designed systems for John Deere, developed space missions for NASA, led manufacturing design for Boom Supersonic jets, and more. We are united by our shared goal of making products that help us decarbonize today and accelerate drawdown globally at the intersection of cutting edge, robotics-inspired hardware and the built environment. Our ideal candidate is excited to operate at both the leadership and tactical levels, jumping between hands-on engineering work and higher level strategy work. This role will be responsible for leading our software engineering team and improving the experience of Thalo products by defining and driving the software engineering roadmap, integrating ML models into our platform, mentoring existing team members, and partnering closely with our CEO to iterate on our product vision. If you’ve led software engineering teams with a hands-on approach at a startup, we’d love to talk!What We Offer • An immediate opportunity to make an impact fighting climate change with a mission-driven team., • An in-person, collaborative culture. In our midtown Manhattan office, we not only have a stocked pantry but we also dedicate time to connect with each other during weekly happy hours and quarterly offsites., • National subsidized healthcare plans for medical, dental, and vision insurance., • Additional benefits include a 401(k) program, 12 weeks paid parental leave, and paid time off, • Free, anonymous mental health and coaching appointments through Lyra., • Thalo Labs believes everyone should be compensated fairly. At our ground-floor stage, our compensation structure places a strong emphasis on the value of high equity, with an annual base salary ranging from $190,000-$240,000.What You'll Do, • Own and execute Thalo’s software product strategy in partnership with the hardware, leadership, and GTM teams, • Architect and develop AI enabled HVAC monitoring and analytics products that deliver automated insights to customers on a daily, weekly, and monthly cadence, • Research, develop, and implement ML models in production environments to enhance the performance of Thalo’s software platform, • Mentor, grow, and lead a high-performing team while maintaining strong engineering practices., • Continuously build and improve software infrastructure for large-scale data ingestion, storage, transformation, and analysis.What You Have, • 7+ years of experience working as a software engineer and 2+ years experience leading engineering teams, preferably in an early stage startup environment., • Extensive experience and knowledge working in a hardware-driven product ecosystem, such as autonomous vehicles, robotics, or IoT devices., • Experience developing, deploying, and managing large-scale web and data-intensive applications., • Experience researching and implementing ML models in customer facing products, • Comfort with our tech stack (React, Typescript, Python, Pandas, Django, Terraform, AWS, etc.,), • Prior experience and a passion for leading and mentoring engineering teams., • Even if you don’t meet all the requirements listed above, we still encourage you to apply. We’re interested in meeting with a broad array of candidates. Bonus Points, • A passion for tackling climate change and promoting sustainability, • BS, MS or PhD in Computer Science or related field

Job Description About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We partner directly with: AI-first startups building products powered by LLMs, generative AI, intelligent automations, Established tech companies: scaling their ML infrastructure, recommendation systems, and data platforms, and Enterprise innovation teams integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Our Client Is a San Francisco based startup building a GenAI-native platform that automates one of the most complex, time-consuming challenges in finance and Tax and turning dense tax documents into structured, usable data in minutes. Their system processes everything from K-1s and K-3s to intricate footnotes with near-human precision, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. They serve some of the most sophisticated players in private wealth, and asset management, helping them move faster and make better decisions in an industry where accuracy and speed define competitiveness. Backed by seasoned founders and AI leaders from top-tier tech companies like facebook and salesforce, this team combines product craftsmanship with cutting-edge machine learning to bring intelligence to a domain that has long resisted automation. Recently acquired by a global technology leader, the company now operates with the mindset, pace, and creative autonomy of a startup but with the stability, benefits, and resources of an established enterprise. Youll be joining a team of proven builders whove scaled products to acquisition, engineered systems that power billions of data points, and are now applying GenAI to redefine how financial data is understood, structured, and acted upon. Location: Union Square, San Francisco Work type: Full Time, 5 days a week On-Site. Compensation: above market base + bonus + equity Visa: sponsorship available for candidates with demonstrated brilliance and expertise. What we are looking for Were seeking an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles, especially with document understanding and extraction. You are an exceptional builder who thrives at the intersection of real world features and AI/ML engineering, someone who not only understands how models work, but also how to use them to deliver real, measurable value to end users. This role is central as they scale their GenAI-native platform for tax document processing, combining the velocity of a startup with the backing of resources and reach of a large multi national firm. Roles & Responsibilities * Build and scale the ML and product infrastructure that powers intelligent tax document processing at production scale. * Design and optimize inference systems, dataset pipelines, and specific logic to improve accuracy, speed, and quality as we expand to millions of documents. * Collaborate closely with accountants and tax domain experts to deeply understand workflows, pain points, and quality thresholds translating insights into productized ML systems. * Integrate inference pipelines into a seamless, end-to-end experience that transforms how tax professionals process and interpret documents. * Develop expert systems that encode institutional tax knowledge into scalable, maintainable software components. * Drive experiments, measure outcomes, and iterate rapidly on core ML metrics. * Collaborate cross-functionally with product, engineering, and leadership to shape technical direction and influence product vision. Qualifications Core Experience * 4+ years of experience in machine learning / AI engineering with proven end-to-end ownership of ML-powered products. * Strong track record of building systems that create direct user value, not just research prototypes or internal tooling. * Demonstrated ability to work with large, complex datasets, optimizing for accuracy, scalability, and reliability. Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products. * Comfortable with Python and popular ML libraries (e.g. pandas, scikit-learn, spaCy, pytorch, tensorflow, keras), cloud providers such as GCP/AWS, container technologies (e.g. Docker, Kubernetes), web application development including Python-based web servers (e.g. Flask, Django), and database and storage layers (e.g. Postgres, SQL, S3/GCS). * Experience deploying or integrating LLMs, LLM APIs, Agents and prompt engineering into production systems. * Strong Python proficiency and hands-on familiarity with ML infrastructure and data workflows. * Experience in document understanding, OCR, or applied NLP. * Exposure to financial or tax-related data environments. * Startup or 01 product experience. Soft Skills * Exceptional problem-solving ability, curiosity, and product intuition. * Strong communication skills with the ability to engage directly with domain experts and translate complex needs into technical solutions. * Growth trajectory demonstrated through promotions or increasing scope of responsibility. Other roles in Applied AI / ML in the US, check them out here: * Applied AI / ML engineer focusing on LLMs, and Knowledge Graphs: [

Job Description GENERATIVE AI SOFTWARE ENGINEER - Global Investment Firm J Harlan Group is currently conducting a search for a GENERATITIVE AI SOFTWARE ENGINEER at a prominent Global Investment Firm in NYC. Technology is foundational to everything this firm does. They are seeking exceptional engineers with a strong computer science background and hands-on experience building Generative AI systems. As a Software Developer specializing in GenAI, you will design and develop the firm's next generation of generative AI applications and underlying infrastructure—helping make AI accessible, reliable, and impactful for both technical and non-technical users across the organization. You will work alongside highly talented engineers, quants, and domain experts to create advanced, data-intensive AI systems. This is a role for individuals who enjoy building real, production-grade AI/ML systems, experimenting with cutting-edge technologies, and influencing the adoption of generative AI at scale. The firm values individuals who are agile, intellectually curious, creative, and hands-on, and who thrive in a fast-paced, collaborative environment. PRINCIPAL RESPONSIBILITIES: As a Generative AI Software Engineer, you will help design, build, and scale the firm's GAI capabilities. Responsibilities include: Core GenAI Engineering • Develop and maintain shared generative AI infrastructure, including internal LLM platforms, AI orchestration layers, and firm-wide tools enabling safe, scalable model usage., • Build foundational components such as vector databases, embedding pipelines, LLM gateways, evaluation frameworks, and retrieval systems to support AI-powered applications across the firm., • Work on greenfield GenAI applications, from concept to prototype to production deployment, tailored to internal users such as researchers, technologists, investment teams, and operations groups., • Prototype and evaluate new models, techniques, and frameworks—such as RAG, multi-agent systems, and model-to-model orchestration—and collaborate with colleagues to determine where they can create real business value., • Partner closely with engineering teams, quants, operations, and business stakeholders to understand workflows and design AI solutions aligned with firm needs. The ideal candidate combines excellence in software engineering with a deep interest in AI/ML and a practical, experimental approach to generative AI. Technical Qualifications • Strong computer science fundamentals, including algorithms, systems, and data structures., • Hands-on experience with LLMs, embeddings, RAG pipelines, vector databases, or related GenAI systems., • Deep comfort building production-quality software in Python or other high-level languages., • Historically, successful developers at the firm have been top performers in their academic programs (CS, EE, Math, Physics, etc.)., • A “tinkerer's mindset”—curious, hands-on, eager to experiment with new models and techniques., • Thrives in a collegial, collaborative, fast-paced environment., • Strong ownership mentality: desire to build systems that matter, not just prototypes., • Excellent communication skills and the ability to work with diverse users—including traders, researchers, engineers, and investment professionals. An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for Generative AI, a high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 ABOUT THE CLIENT: The firm is a prominent multinational investment management firm. The company manages a variety of investment funds that make extensive use of quantitative methods and proprietary computational technology to support fundamental research in the management of its investments. They have a relentless focus on innovation and integration: innovation in new products, markets and businesses as well as new tools, models and technology management and performance structures; integration of fundamental research, quantitative strategies and technical analysis, all supported by an intensive focus on operational excellence and comprehensive risk management. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber w ho are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs SALARY RANGE: The expected annual base salary for this position is $200,000 to $250,000. Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program. 'J Harlan Group, LLC' is an executive search and advisory firm specializing in recruiting for Financial Services, Management Consulting and Public Accounting companies. The organization is a global leader in professional staffing and consulting services working with major companies in the US and Global investment capitals around the world. Built by industry leaders to meet the talent demand needs for highly professional and specialized roles, J Harlan Group, LLC operates under the highest level of professional and quality standards providing a customized project approach for each client and search assignment.

Job DescriptionAbout Us We are on a mission to bridge the gap between enterprise business knowledge and data, democratizing data discovery and curation to prepare organizations for the era of generative AI. Today's data tools are overly complex, poorly integrated, and siloed, forcing AI Practitioners and data scientists alike to spend more time wrestling with tools, relying on tribal knowledge, and navigating data lakes rather than doing meaningful data science work. The current landscape of data tools and processes is heavily manual and needs to catch up with the vast amount of data generated daily. With the advent of Gen AI and multi-modality, this challenge has only grown more complex and broken. Backed by top VC funds, we are committed to making enterprise data AI-ready faster, more reliably, and with a stronger foundation of factual semantic knowledge. This leads to more accurate models, superior outcomes, and better business results. Our team of seasoned data infrastructure and machine learning experts (from LinkedIn, Visa, Truera, Hive, and Branch) has spent the past two decades building bespoke systems to solve these very challenges. Join our growing team of ML research and data infrastructure experts. We're committed to empowering AI and data scientists to seamlessly integrate semantic learning with generative AI. Be part of our journey to shape the future of enterprise AI. About the Job We’re looking for a Forward-Deployed Engineer to join our founding team and bring our AI-native data infrastructure to life in real-world environments. This is a hybrid role blending infrastructure, product, and delivery—you’ll work across systems, tools, and teams to bring new deployments from concept to scale. Think of it as a "jack-of-all-systems" role: one foot in Kubernetes and Ray clusters, the other in semantic pipelines and user-facing use cases. You’ll be a first responder, architect, and operator—deploying zaimler’s semantic infrastructure into dynamic enterprise settings, collaborating closely with ML and infra engineers, and making sure customers get value from day one. This role prefers candidates in or aligned to the Eastern Time Zone (EST) & will require travel onsite to customer locations. What You Will Be Doing • Build, deploy, and scale zaimler’s platform in diverse customer environments (Kubernetes-native, often hybrid cloud), • Own the infrastructure stack: provisioning, scaling, monitoring, and incident handling for data/ML pipelines., • Stand up and optimize distributed compute systems using Ray, Kubernetes, and supporting cloud services., • Bridge ML and infra—help ML engineers productionize knowledge extraction, entity linking, and retrieval pipelines, • Write Terraform, Helm charts, Dockerfiles, and bash scripts that others rely on, • Contribute to internal tooling, automation, and observability to make zaimler repeatable and scalable., • Interface directly with early customers to understand their environment, workflows, and edge cases.Prior Experience, • 3+ years of experience in backend or infrastructure roles (infra/platform, SRE, or devops welcome), • Deep familiarity with Kubernetes, Docker, Terraform, and Helm, • Experience managing or deploying distributed compute frameworks (Ray, Dask, Spark, etc.), • Fluency in at least one scripting language (Python, Bash, Go preferred), • Strong debugging skills across the stack—from network hiccups to memory leaks, • Experience deploying in cloud-native environments (AWS/GCP/Azure), • Comfortable being customer-facing and managing ambiguity in real-time, • Strong sense of ownership and bias toward action in early-stage environmentsNice to Haves, • Experience deploying or integrating LLMs or vector databases, • Background in ML Ops or building/operating data infrastructure at scale, • Familiarity with GPU optimization, multi-tenancy, or air-gapped environments, • Prior startup or zero-to-one deployment experience, • Familiar with Ray Serve, VLLM, or similar frameworks

Job DescriptionAbout Amigo Amigo builds AI agents for healthcare—systems that handle patient conversations, take clinical actions, and escalate to humans when needed. Our agents operate autonomously within bounded clinical domains. Clear inclusions, exclusions, and handoff protocols. The scope of autonomous operation expands over time as we validate performance across patient populations. We own the data foundation end-to-end: patient interactions, agent reasoning traces, outcome data, and synthetic data with known fidelity. This enables population-level analytics and continuous improvement. Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions. About this role As a Staff Software Engineer (Data) at Amigo, you'll own the technical direction of our data platform—a strategic differentiator that powers agent improvement, clinical analytics, and research collaboration. You'll architect streaming and batch infrastructure on Databricks that processes agent conversations, clinical events, and patient outcomes at scale. We own the entire data foundation: raw interaction data, agent reasoning traces, clinical outcomes, and high-fidelity synthetic data. You'll drive architecture decisions for population analysis, data mining pipelines, the Research Platform backend, and secure data sharing with academic partners. What you'll do * Own technical architecture for the data platform across Databricks, Delta Lake, and supporting infrastructure * Drive engineering standards for pipeline reliability, data quality, and observability * Architect streaming and CDC pipelines that power real-time analytics and agent feedback loops * Design the data backend architecture for Research Platform, including natural language query capabilities * Architect data mining systems for persona discovery, scenario extraction, and edge case detection * Design anonymization and data sharing infrastructure for research partnerships with academic medical institutions * Own multi-region data architecture and compliance requirements * Make build vs. buy decisions for data tooling and evaluate technical tradeoffs * Mentor engineers and establish patterns that raise the bar for the data team * Collaborate with data scientists, agent engineers, and clinical operations to align data capabilities with business needs What we're looking for * 7+ years of production data engineering experience, with significant time at high-caliber engineering organizations * Expert-level experience with Databricks, Spark, and Delta Lake at scale * Strong Python and SQL skills with deep understanding of distributed data systems * Proven track record designing data architectures that scale * Deep experience with streaming systems, CDC patterns, and real-time data processing * Strong understanding of data modeling, medallion architecture, and query optimization * History of establishing engineering standards and mentoring engineers * Extremely high standards for data quality, reliability, and operational excellence * Both execution-oriented and defensive-minded: you ship infrastructure while anticipating failure modes * Excellent communication across engineering, data science, and executive stakeholders Nice to have * Experience with healthcare data platforms or HIPAA compliance at scale * Background architecting multi-tenant data systems with strict isolation requirements * Experience building natural language query interfaces or LLM-powered data tools * Track record with ML infrastructure (feature stores, training pipelines, model serving) * Experience with Delta Sharing or cross-organization data collaboration * Knowledge of vector search systems and embedding infrastructure at scale Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth * Daily catered lunch and dinner Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Development setup of your choice * Academic collaboration opportunities Compensation Range: $220K - $260K

Job DescriptionCompany DescriptionDuetti was founded by Lior Tibon, former COO of TIDAL, and Christopher Nolte, former Business Development executive at Apple Music, with the mission of getting a wide range of artists quick and easy access to catalog sales and unlocking new investment opportunities. Leveraging their experience in streaming and support from innovative music and technology investors including Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, Duetti's music platform has provided over 700 artists up to $7 million per transaction. The proprietary model provides data-driven prices for established tracks, allowing artists to sell individual tracks or even parts thereof, while Duetti then markets those tracks going forward using proprietary ROI-focused techniques. With offices in New York City, Los Angeles, Miami, and London, Duetti offers a competitive benefits package, including healthcare coverage, flexible paid time off, and a hybrid work model. Duetti provides an inspiring and familial yet ambitious work environment, where your expertise and creativity will contribute to reshaping the future of artist monetization and make an immediate tangible impact on artists’ lives. Join us on this transformative journey as we reshape the financial landscape for artists. Job DescriptionWe're looking for an Analytics Engineer to join as an early member of our Data Team and help build the systems that power artist sourcing, track pricing, portfolio management, and catalog growth. This role sits at the intersection of analytics, engineering, and product with high autonomy, technical ownership, and direct business impact. You will report to the Head of Data & Analytics and help define the future of our data products. Because data fuels everything we do, the Data Team works horizontally across the entire company. While your core focus will be deal-flow optimization and catalog pricing - the core of Duetti’s business model - you’ll also collaborate with music-industry veterans, financial experts, and senior engineers and data scientists across a variety of initiatives.You Will: • Own the core models, transformations, and analytics products that drive track and catalog pricing decisions, • Partner with Finance & Management to uncover insights into catalog performance, revenue drivers, and portfolio health, • Collaborate with Data Science to refine predictive models and integrate third-party and proprietary datasets, • Work closely with Product to design internal tools, workflows, and decision support systems, • Identify and resolve data quality and pipeline issues, ensuring a reliable analytics foundation across teams, • Dive deep into streaming performance and catalog behavior to uncover optimization opportunities for acquired catalogs, • Explore and build LLM-powered internal tools that automate data workflowsRequirements, • 5+ years in analytics engineering or data analytics roles within high-growth environments, • Strong SQL & Python skills for data modeling, transformation, and automation, • Hands-on experience with BI tools (Looker, Tableau, or equivalent), • Ability to translate complex data into clear, actionable insights for technical and non-technical stakeholders, • A builder mindset: autonomous, curious, proactive, and excited to shape a fast-moving analytics stack, • Experience with music streaming data, KPIs, or creator-economy platforms (preferred but not required)

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Data Infrastructure team builds the foundational datasets and platform services that power business intelligence and data science across CoreWeave. Our mission is to democratize access to trusted data and create an environment where data-driven decision-making thrives at every level of the organization. About the Role: We're looking for a Software Engineer II focused on reliability, scalability, and performance to strengthen CoreWeave's data platform. You'll design, build, and operate the storage and compute systems that support enterprise analytics and AI workloads. This includes owning our data lake and clustered compute environments, building observability and performance frameworks, and ensuring that our data infrastructure is secure, efficient, and self-healing. This role is ideal for engineers passionate about building reliable distributed systems at scale. Who You Are: * 2+ years of experience with Kubernetes and Helm, with deep understanding of container orchestration and distributed systems. * 3+ years of programming experience in Go, Rust, Python, C++, C#, or Java. * 3+ years of scripting experience in Python or Bash for automation and operational tooling. * Strong understanding of data storage, distributed compute, and service reliability principles. * Experience with Prometheus, Alertmanager, and Grafana for monitoring and alerting. * Experience administering scaled deployments of Spark, Ray, Kafka, Flink, or similar on Kubernetes is preferred. Preferred: * Familiarity with large-scale observability and performance frameworks. * Experience implementing automation for deployment, monitoring, and capacity management. Wondering if you're a good fit? We believe in investing in our people and value candidates who bring their own diverse experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team: * You love building reliable distributed systems. * You're curious about optimizing data infrastructure and performance at scale. * You're an expert in designing and operating containerized, production-grade services. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you won't want to miss. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: * Be Curious at Your Core * Act Like an Owner * Empower Employees * Deliver Best-in-Class Client Experiences * Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $160,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionAbout Clair If you can send your friends money in seconds, why does it still take your employer two weeks to send your paycheck? At Clair, we are on a mission to create financial freedom for America's workers by giving them a digital banking platform that allows them to get paid as soon as they clock out of work. But we're not just another digital bank or on-demand pay provider. We meet Americans at their place of work by embedding our products within the scheduling, workforce management, and payroll apps they already use every day. Learn more about us at getclair.com/about About the Role As a Senior Data Scientist on Clair's Data Science team, you'll be responsible for developing and maintaining the next generation of credit models and predictive systems that power Clair's financial products. You'll shape how millions of hourly workers access affordable credit, leveraging cutting-edge data science to assess risk, predict repayment, and optimize credit decisions. We're looking for someone who thrives at the intersection of data science, machine learning, and fintech, and who's excited to translate messy, real-world data into clear, actionable intelligence. This role blends credit modeling with feature engineering — from designing new model features (including predictive features) based on user transaction data to deploying and monitoring production-ready ML models that drive critical product decisions. To succeed, you'll need a deep technical foundation in machine learning and statistical modeling, hands-on experience in model deployment, and strong communication skills to collaborate with engineers, product managers, and risk teams. Key Responsibilities • Develop and maintain credit risk and repayment models that directly power Clair's underwriting and decision systems., • Design and engineer predictive features using transaction-level data, including the prediction of user income flows, spending, and repayment behaviors., • Collaborate with engineering teams to deploy, monitor, and optimize models in production environments using AWS and Snowflake ML Platform., • Build prototypes of new modeling methodologies and present them to stakeholders for evaluation and feedback., • Investigate and analyze credit performance, identifying root causes of model drift or unexpected repayment behavior., • Partner cross-functionally with product, risk, and engineering teams to turn data insights into product improvements and credit strategy refinements., • Communicate technical concepts clearly to both technical and non-technical audiences., • Stay current on best practices and emerging techniques in credit modeling, explainable AI, and financial ML systems. Minimum Qualifications • 5+ years of professional experience in data science and machine learning., • Proven track record of leading end-to-end data science projects — from research and model development to deployment and monitoring., • Experience building and productionizing credit or risk assessment models., • Strong proficiency in Python and familiarity with modern ML libraries (TensorFlow, PyTorch, XGBoost, etc.)., • Strong command of SQL and experience working with large transactional and time-series datasets., • Strong communication skills and ability to translate complex findings into actionable insights., • Experience working with cross-functional teams in a fast-paced production environment.Preferred Qualifications, • Experience in fintech or credit risk modeling., • Experience with cloud-based machine learning environments (AWS, Azure, Snowflake ML Platform, etc.)., • Familiarity with model explainability techniques and compliance requirements in financial modeling. Location: This is a hybrid position based out in New York City, you will be expected to come into the office at least three days a week (Tuesdays, Wednesdays, & Thursdays) with additional days on occasion for client meetings. Compensation: The annual base salary for this role is $165,000 to $172,000. The base pay for this role is determined using many factors, such as education, skills and experience and is reflective of Clair Series stage and size. Base pay is only one part of Clair's competitive total compensation package which includes equity, benefits and additional perks. The base pay range is subject to change and may be modified in the future. Clair will only contact candidates from @getclair.com email addresses. We will never ask for payments or sensitive personal information during the hiring process. If you happen to receive anything suspicious, please ignore it. Need more convincing? Apart from getting to work with our incredible team, here are some of the benefits you can expect when you join Clair: • Medical, Dental, & Vision Coverage, with option to extend to your family, • Fully-paid parental leave, • Company-sponsored 401k, HSA, and FSA, • Unlimited vacation for salaried roles, generous PTO for hourly roles, • Work from home setup allowance, • Access to your earnings every day on Clair

Job DescriptionSoftware Engineer Multiple Locations in CA, CO, MD & VADirect PlacementAssisted relocation availableUp to $300,000 AnnuallyPrimary PurposeWe are seeking a Software Engineer to join a high-performing agile team that uses the Scaled Agile Framework (SAFe) methodology to support a nationally significant and fast-paced program. Program execution follows DEVOPS best practices and employs robust development, test, and production environments. Behavior Driven Development (BDD) and test automation tools are utilized alongside a full suite of team collaboration tools. The program is focused on injecting new technology and adding advanced capabilities in support of an ongoing operational system.Major Duties & Responsibilities • Actively participate in program increment planning and related team activities, • Analyze and study complex system requirements, use design software tools, provide support using formal specifications, data flow diagrams, and other accepted design techniques with the use of Computer Aided Software Engineering (CASE) tools, and will use sound software engineering principles to ensure that developed code is modifiable, efficient, reliable, understandable, fault-tolerant, and reusable, • Provide software process management and control throughout the coding portion of the software development process and will promote code reuse and cross-program collaboration by creating common functions and shared actions for developers and testers., • Engineer, author, tune and document automation scripts in a development environment and deploy to the test/production bench. Qualifications:, • Clearance: TS/SCI w CI Poly, • Bachelor's Degree in Computer Science or a related discipline. Relevant work experience may be substituted for a Degree, • Demonstrated experience with Java is required, • Experience or familiarity with multiple of the following: Java/JEE, Python, C/C++, SQL, SOAP, WSDL, WADL, PERL, PowerShell, VBS, Eclipse, Postgres, Oracle, Jenkins on a Windows platform., • Experience with User Interface development, knowledge of databases and structures, and/or experience working with XHTML, HTML, XML, XSLT, • Experience developing on Windows, and/or Linux operating systems, • Must have a strong understanding of sound software development principles and practices, • Must be able to plan and prioritize personal tasking and be able to communicate effectively verbally and in writing

Job Description ChasmTeam Senior Machine Learning Engineer at JudiHealth Location: Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc., • Develop and maintain backend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI models and services., • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment., • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services., • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Document and communicate development processes, system designs, and architectural decisions., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field., • Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph., • Experience working with voice AI technologies and conversational AI., • Deepgram, PlayHT, ElevenLabs, • Telephony technologies, such as Twilio is a big plus, • Familiarity with cloud platforms such as AWS or Azure., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • Passion for customer, innovation, product quality, service excellence, and test engineering, • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment., • Experience working with microservices/an API-based application paradigm. Salary Range $150,000 - $180,000 USD

Job Description AI Software Engineer NYC AI Data Science Labs – Investment Management J Harlan Group is currently conducting a search for a AI Software Engineer at a prominent Investment Manager in their NYC AI Data Science Labs. This opportunity is available in both their New York City offices and at their brand-new AI Data Science squad in their new Baltimore location. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact on asset management This is a “hands-on” – “end-to-end” engineering opportunity with direct responsibility to Design, Develop, and Deploy autonomous AI systems as part of the firm's AI Data Science Labs' AI Engineering team. Collaborate in cross-functional squads, contribute to the Build-Operate-Transfer process, and help scale responsible AI solutions across the enterprise. The AI Data Science Labs is focused on building the firm's next-generation data and AI platforms, aiming to seamlessly deliver on-demand ML-powered insights across their firm. Responsibilities • Design, build, test, and deploy AI agents and intelligent systems for modern cloud-based, n-tier architectures., • Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights., • Championing engineering excellence by applying best practices in AI development, continuous integration, and code quality., • Contribute to projects on agent orchestration, prompt engineering, and real-time, data-driven automation., • Manage technical debt and drive ongoing improvements in AI platforms and infrastructure., • Proactively seek opportunities to apply AI agents for increased business value and operational efficiency., • Collaborate directly with business stakeholders to understand needs and priorities., • Make technology decisions that support current and future business objectives and fiscal responsibility., • Translate business requirements into effective technology solutions. The ideal candidate would have a background: • BS or MS in Computer Science or a related technical field (or equivalent experience), • 2+ years of professional development experience in an object-oriented language (Java, Python, or JavaScript preferred)., • Hands-on experience with cloud-native architectures (AWS, Azure), containerized microservices, and agent frameworks., • Experience with React and/or Angular - Preferred, • Solid understanding of financial markets and financial instruments - Preferred, • Strong analytical and problem-solving abilities., • Commitment to quality via automated testing, code reviews, and continuous delivery., • Results-driven with a passion for learning and staying current with emerging technologies. An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for technology engineering high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a publicly owned global asset management firm with $1.8 trillion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The salary range is $118,000 - $202,000 plus employees may also be eligible for annual discretionary incentive compensation. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Work Flexibility: This role is eligible for remote work up to three days a week. Benefits: The firm invests in their people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions, • Flexible and remote work opportunities, • Health care benefits (medical, dental, vision), • Tuition assistance, • Wellness programs (fitness reimbursement, Employee Assistance Program), • Paid time off for vacation, illness, medical appointments, and volunteering days, • Family care resources, including fertility and adoption benefit

Job DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. As a Senior Software Engineer on our Trading Platforms Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors. Your Team We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.Responsibilities • Design real-time distributed trading systems that place orders across a global set of markets and asset classes (Go / C++), • Build and optimize large-scale data infrastructure and stream processing systems for historical and real-time machine learning feature pipelines (Python/Airflow/Go/beam), • Own observability and remediation tooling used to analyze trading performance and risk (Go / Python / React), • Integrate with new assets and markets and drive clarity on the resulting requirements, • Improve the resilience and performance of our trading systems, • Develop tooling to integrate data from diverse vendors, unifying symbol mappings for data consistency, • Lead company spanning complex projects. Collaborate across research, legal, trading, finance operations data, and infra teams to deliver end-to-end trading systems, • Mentor and develop other engineers on the team, and share your practices and knowledge with the team and companyRequirements, • Computer Science Degree or equivalent experience, • 5+ years of software engineering experience building high-performance systems, • Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go and C++, • Excellent communication and project management skills in complex technical domains, • Track record mentoring engineers and leading technical directionPreferred Qualifications, • Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka), • Experience with profiling and performance optimizations on distributed systems. (Go / C++) #LI-DL1 We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOur Mission: Hospital-Quality Care, Everywhere. The healthcare industry still relies on faxes and phone tag to coordinate critical care for patients at home. We think patients and the clinicians who serve them deserve better than a system stuck in 1995. Verse Medical is building the modern software infrastructure to make it happen. We're a well-funded Series C company (backed by General Catalyst, SignalFire, and Sapphire Ventures) on a mission to heal a fragmented system. Our platform connects the dots between providers, payors, and patients, ensuring people get the high-quality care they need, reliably and right where they live. We’re growing fast and looking for people who are driven by this mission to join us! Our Values: The Principles That Guide Us Our values are the operating system for how we work together and with our partners. They aren't just words on a wall; they are the principles we bring to every decision, every day. * We are transparent, upfront and direct. We operate with honesty and clarity. We share information openly, the good and the bad, and believe that direct, respectful feedback is the foundation of trust and progress. * We value speed of iteration. We are building something new, which means we learn by doing. We prioritize rapid iteration and getting solutions into the hands of users, believing that progress is more valuable than perfection. * We give 110% effort, 30% of the time. We are passionate about our mission, and there are moments that require us to go the extra mile. We believe in focused intensity when it counts, balanced by a sustainable pace that keeps our team energized for the long run. * We empathize with customers to a fault. When our users face a problem, we own it. Instead of asking them to change, we ask ourselves, "How can we make this better?" We believe true innovation comes from deep empathy and a relentless focus on solving the real-world challenges of healthcare. Your Impact: How You'll Help Us Heal a Broken System As a Sr. Full Stack Software Engineer, you'll be shaping the future of at-home care. You'll be a key part of the team, working closely with customers & internal teams to define exactly what needs to be built. Our engineers deeply understand our users’ and internal needs, which has been a big key to our success. What You'll Achieve: A Glimpse into Your Contributions Within your first year, you will have the opportunity to: * Build software for hospitals and patients that will make their lives easier. * Find creative solutions to complex technical and product problems. * Build prototypes fast, but with a path in mind to turn them into robust systems over time. * Operate with a lot of independence and responsibility in solving complex issues. * Work with relevant stakeholders outside of engineering to figure out the right solutions to issues. What You'll Bring: The Skills for Our Shared Mission We believe that diverse experiences and backgrounds lead to better solutions. While we have an idea of what will help someone succeed in this role, we are open to being convinced by your unique story and skills. If you believe you can achieve the outcomes above, we encourage you to apply. Core Skills & Experience: * At least 7 years experience building, shipping, and maintaining full-stack applications in a production environment. * Advanced degree in Computer Science or other relevant technical focuses. * Proficiency in building applications with both backend (e.g., Python, TypeScript/JavaScript) and frontend (e.g., React, Vue) technologies. * A strong command of SQL and experience designing and querying relational databases (e.g., PostgreSQL, MySQL). * The ability to articulate complex technical concepts clearly to both technical and non-technical audiences. Our Team & Our Tools You'll be joining the Engineering team, a group of talented innovators who value pragmatism, simplicity, and speed of execution. We collaborate closely and believe the best ideas can come from anywhere. The tools and technologies you'll use include * Languages: Python, Typescript * Frameworks: Flask, React, Apollo GraphQL * Infrastructure: Postgres, Airflow, AWS, Google Cloud Platform The Rewards & Reality: Compensation, Benefits & Logistics We believe in taking care of our team, both professionally and personally. Here’s what we offer: * Meaningful Compensation: $190,000-$230,000 base salary + equity * While our compensation bands provide a clear framework, every candidate is assessed on a case-by-case basis. Your final offer will be thoughtfully determined by your individual experience, interview performance, and current market data. * Comprehensive Health & Wellness: We cover 100% of your health insurance premium and provide access to high-quality dental and vision insurance plans for you and your dependents. * Plan for the Future: We offer a 401(k) plan to help you save for your future. At this time, the company does not offer a 401(k) match. * Career Growth: You'll have opportunities for rapid career advancement in a company that's at a major inflection point. We want you to grow with us. Work Environment & Location * This role is based in our New York City office in Chelsea. We have a hybrid model, with a requirement of 4 days per week in the office to foster collaboration and innovation. * Please note that at this time, we are not able to provide visa sponsorship for this position. All candidates must be authorized to work in the United States. Our Pledge for an Equitable Future At Verse Medical, our mission is to deliver equitable, hospital-quality care to everyone, regardless of their background or where they live. We can only achieve this if our own team reflects the diversity of the patients we serve. We are committed to building a workplace where everyone feels a sense of belonging, where their contributions are valued, and where they can do their best work. We embrace diversity of all kinds—race, gender, age, religion, identity, experience—and are actively working to build a more inclusive and equitable world, starting from within our own walls. We are an equal opportunity employer. We are also committed to providing a positive and accessible interview experience. If you require any accommodations to participate in our process, please contact us at . Compensation Range: $190K - $230K

Job Description At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As a Principal Machine Learning Engineer, you will be embedded in our Data Science team and play a critical role in accelerating the delivery of AI solutions. Reporting to the Head of the UK AI & Data Science team, you will work alongside Data Scientists to take prototypes and translate them into reliable, production-ready services for business stakeholders. This is a hands-on technical leadership role: you will set direction, architect solutions, and mentor peers. The remit is squarely focused on last-mile delivery — taking prototypes built by Data Scientists and making them usable in real business settings by packaging them into services or APIs, wiring them into data sources, building lightweight feature and inference pipelines, and adding basic monitoring and retraining logic. You will accelerate pilot deployments so stakeholders can see value quickly, and then hand the solution off to the Central Engineering and Data team, who are responsible for firm-wide platforms, scaling, and long-term support. The ideal candidate will also bring applied data science skills and be comfortable moving between ML engineering and data science work. You should be able to contribute to model development and analysis when needed, in addition to owning deployment and operationalization. Key Responsibilities: • Translate data science prototypes into production-ready pilot ML services tailored to business use cases., • Build lightweight pipelines (feature engineering, model packaging, inference services) that integrate smoothly with central platforms while meeting immediate delivery needs., • Champion pragmatic MLOps practices (CI/CD for ML, monitoring, observability) to improve reliability without duplicating central engineering’s enterprise frameworks., • Partner closely with Data Scientists to operationalize models, and collaborate with central engineering to plan handoffs of successful pilots for hardening and scale., • Apply emerging ML engineering techniques (LLM deployment, RAG, vector databases) to accelerate delivery of applied projects., • Develop reusable components and lessons learned that central teams can adopt into firm-wide platforms., • Ensure ML workflows comply with governance, audit, and regulatory requirements., • Collaborate with central Engineering, Data, Product, and Security teams to ensure alignment with firm-wide platforms and standards., • Provide technical mentorship to ML engineers, raising the bar for applied delivery and model deployment. Qualifications: • 8+ years of experience designing, building, and deploying ML systems in production., • Proven track record of leading ML engineering projects from prototype to production delivery., • Deep expertise in modern ML frameworks (TensorFlow, PyTorch, JAX, Ray, MLflow, Kubeflow)., • Proficiency in Python and at least one backend language (e.g., Java, Scala, Go, C++)., • Strong knowledge of cloud ML infrastructure (AWS SageMaker, GCP Vertex AI, Azure ML) and containerized deployments (Kubernetes, Docker)., • Hands-on experience with ML pipelines, distributed training, and inference scaling., • Familiarity with monitoring stacks (Prometheus, Grafana, ELK, Datadog)., • Experience in regulated industries (finance, insurance, healthcare) with compliance and governance needs., • Strong communication and collaboration skills, with the ability to mentor others and influence technical direction., • Working knowledge of data science techniques (e.g., supervised/unsupervised ML, model evaluation, causal inference, feature engineering)., • Experience integrating with Palantir platforms (Foundry, AIP, Ontology) as a user/consumer., • Practical exposure to LLM and GenAI delivery (fine-tuning, RAG, vector search, inference)., • Experience optimizing GPU clusters or distributed training workloads. This is a hybrid position based in New York, NY or Santa Monica, CA. Fully remote candidates will not be considered. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: • Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems., • Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory., • Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team., • Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs., • Bachelor’s degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience., • Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management., • Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment., • Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms., • Ability to successfully handle multiple time-sensitive projects across several disciplines. We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job DescriptionCareer Renew is recruiting for one of its clients a Product Data Scientist - Crypto - this is a fully onsite role for London or New York based candidates. Salary range: 250-300K USD yearly. About the Role We're seeking an experienced, versatile Product Data Scientist who thrives in a fast-paced environment. In this role, you'll have the freedom to identify opportunities, design and implement solutions, and measure their impact across our product. You'll collaborate with cross-functional teams while maintaining ownership of your projects from conception to completion. What You'll Do * Design, run, and analyze A/B tests to optimize our consumer product experience * Proactively identify problems and opportunities through data analysis * Build and maintain dashboards to track key metrics and visualize insights * Develop models to understand user behavior and predict outcomes * Collaborate with product and engineering teams to implement data-driven solutions * Drive projects independently from problem identification through solution implementation * Communicate complex findings clearly to technical and non-technical stakeholders * Help establish data best practices and methodologies Requirements * 2-3 years of data science experience at a startup, scale-up, or FAANG/equivalent company * Proficiency with Python/R and SQL/BigQuery * Strong experience designing, running, and analyzing A/B tests on consumer products * Demonstrated ability to work autonomously, managing entire projects from ideation to implementation * Experience translating data insights into actionable recommendations * Excellent communication skills, with the ability to present complex findings clearly Preferred Qualifications * Experience with cryptocurrency and blockchain data * Strong data visualization skills (especially with Grafana) * Experience working with event tracking data (especially FullStory) * Advanced knowledge of statistical methods and causal inference * Experience building and maintaining data pipelines (especially with Dataform) * Familiarity with Machine Learning methods and applications * Experience in consumer tech products or fintech What We're Looking For We value generalists over specialists. The ideal candidate has breadth across the data science field rather than deep expertise in just one area. You should be proactive, self-motivated, and comfortable taking initiative to find problems worth solving. You'll thrive in our environment if you enjoy autonomy and are excited about having end-to-end ownership of your work. Benefits * Competitive salary and equity package * Flexible work arrangements * Comprehensive health benefits * Professional development budget * Collaborative, fast-paced environment * Opportunity to shape the future of [industry/product] * We're building a diverse team and encourage applications from candidates of all backgrounds Compensation & Package Base Salary + Equity/Tokens

Job DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. Your Team As a Senior/Staff Software Engineer in our Data Engineering group, you will contribute to scaling and advancing our entire data operation. This includes procurement and ingestion of new datasets, enabling data processing and analysis in research and production environments, building data-related infrastructure and tooling, and collaborating closely with various teams to facilitate and improve their usage of data. You will work with our team lead to design, scope, and deliver large scale projects within the team. You will collaborate closely with a diverse group of engineers, and directly impact the team's productivity and successful delivery. You will help to define the team's technical roadmap towards achieving strategic-level engineering goals. You'll participate in mentorship and development of other engineers on the team, and shaping our company's engineering culture. We seek brilliant thinkers who are passionate about taming complexity and solving problems through innovation and rigorous engineering. You’ll work in a collaborative environment that encourages creative thinking and experimentation, and values efficiency and attention to detail. Our engineers come from leading technology companies and top academic programs. Our team partners closely with machine learning researchers. We pride ourselves on being kind, friendly, and down-to-earth, and look for people who share those qualities.Responsibilities • Engage and collaborate in diverse software development work, including design and implementation of distributed systems and services, maintenance and deployment of production workflows, development of tools and libraries, and more, • Support our trading operations and promote our research effort through reliable delivery of high-quality and easily accessible data, • Build scalable data infrastructure, robust storage and distribution systems, and fault-tolerant production-critical pipelines, • Lead complex projects from start to finish, including gathering requirements, creating a robust software design, reasoning about supporting or dependent technologies, and communicating effectively with stakeholders, collaborators, and teammates., • Provide technical guidance to engineering and research staff, • Provide mentorship and support to help grow other team members and up-level the teamRequirements, • Computer Science / Engineering bachelor’s degree (or equivalent), • 5+ years of relevant software engineering experience, • Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale, • Experience working with large codebases and building modular, extensible, and maintainable software, • Expertise in a modern programming language, such as Python, Go, Java or C++, • Hands-on experience developing in a Linux/UNIX environment, • Design and implementation of scalable services and APIs, highly-available systems, and/or large-scale data infrastructure, • Experience with data storage and management technologies (e.g. PostgreSQL, Artifactory, Ceph, Redis)Preferred Qualifications, • Familiarity with cluster management and containerization technologies (e.g. Kubernetes, Docker), • Familiarity with job scheduling and orchestration technologies (e.g. Airflow, Slurm), • Familiarity with cloud storage, querying, and processing technologies (e.g. Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena), • Strong communication skills and a knack for explaining complex ideas with clarity and simplicity Compensation The base salary range for this position is $225,000 to $310,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical, dental and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. #LI-MB1 We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. 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 Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We're looking for an Engineering Manager to lead Garner's Data management team, which is made up of Data Analytics Engineers (DAEs). This team builds and governs the pipelines, DBT models, and curated datasets that power analytics, data science, and product features across the company. You'll manage engineers with deep expertise in SQL, DBT, ELT/ETL, and data modeling, guiding them to deliver production-grade data products on top of Garner's core data infrastructure. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. Relocation assistance is available for non-local candidates. What you will do: • Lead a team of Data Analytics Engineers delivering production-grade data products, • Drive Garner's data governance strategy: lineage, quality checks, contracts, metadata management, and compliance with regulated data standards, • Partner closely with the Data Engineering (infrastructure) team to ensure data products run seamlessly on shared platforms, • Provide technical guidance in data modeling, performance tuning, orchestration, and dataset design, • Collaborate with product, analytics, and data science stakeholders to deliver trusted, business-aligned data products, • Mentor DAEs, foster best practices, and grow Garner's next generation of data engineering leadersWhat you will bring to the team:, • 6+ years of experience working in the software engineering industry, • 3+ years of experience working in a Data Engineering function, • 1+ years of experience managing data analytics engineers or data engineers, • Proven experience with DBT and modern data stack tools (Spark, Iceberg, AWS Glue, Dagster, Soda, Airflow, etc.), • Strong track record implementing data governance frameworks: data quality, lineage, cataloging, and access management, • Expertise in storage/query optimization in cloud-based environments, • Ability to provide technical guidance and translate complex business requirements into a well-executed technical roadmap, • Familiarity with healthcare data standards (e.g. HIPAA, EDI) is highly desirable, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment

Job Description Hi, we're Oscar. We're hiring a Lead Data Scientist to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Lead Data Scientist runs modeling and analytics projects to achieve business objectives and support Oscar's goals. You will report into the Senior Director, Data Science. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $174,400 - $228,900 per year. You are also eligible for employee benefits, company equity grants, and annual performance bonuses. Responsibilities: • Translates business goals into plans and tactics for the team, • Works with more senior leaders to establish longer term strategies and roadmaps, • Participates in team-wide technical and operations management responsibilities, • Interacts and collaborates closely with data and business management across functional areas, • Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • 6+ years of industry or other quantitative technical fields (which may include academia), • 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • Advanced degree in a quantitative or technical field At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.