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Job DescriptionDescription: Hybrid Remote | Onsite 2 weeks per month in Jersey City, NJ As a senior developer on one of the agile squads you will have the opportunity to work on development/enhancement/support of existing Money Movement applications and contribute to the development of new capabilities within those areas. The teams are involved with many initiatives such as testing automation, paper elimination, digital credentials, and cloud transformation; technology stack will primarily consist of .net, Java, Oracle, and AWS. This Senior Full Stack Software Engineer opportunity would be great for someone looking to utilize their existing skillsets in addition to learning new technologies! The position will require hands-on software development, technical mentoring, cross team collaboration with a diverse and co-located engineering team, and the ability to visualize customer issues as drivers for internal change. We can facilitate w2 and corp-to-corp consultants. 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: $60 - $65/hr W2 Responsibilities: • Develop new features, • Java/ J2EE (Critical), • JavaScript (Required), • .Net (Required), • Continuous Integration Tools (e.g. Jenkins, Maven) (Critical), • Code Source Control (e.g. GIT) (Critical), • Communication (written/verbal) (Critical), • Team Player (with respect and integrity) (Critical), • Problem Solving (Required), • Confident/ Self-Aware (Required), • 5+ Years of experience in Software Development., • Application development on Public Cloud - AWS Managed Services, ECS, EC2, EKS, Serverless Framework/Lambda, API Gateway, Step Function, S3, ALB, Route53, • Develop and/or consume REST API using Java, Spring Boot., • Experience writing and performance tuning SQL/Functions/Procedures in transactional database systems such as Oracle, SQL Server, Postgres, • Building test suites using Junit, Mockito, Cucumber, Karate., • Experience in build technologies such as Gradle / Maven 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 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 DescriptionOur client, a highly respected A-rated P&C Insurance Company, is seeking an experienced Senior Data Engineer (Azure) to join their growing IT department. This is a unique opportunity to spearhead data engineering initiatives and lead a team responsible for building and optimizing scalable data pipelines and architectures. The ideal candidate will bring a blend of technical depth, strategic thinking, and leadership experience to drive the company's data strategy forward. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Drive cloud-based data solutions using platforms such as Microsoft Azure (e.g., Data Factory, Synapse Analytics, Databricks)., • Actively design, build, and deploy application solutions by writing, testing, and maintaining code across the full stack or within low-code/no-code platforms as appropriate., • Work directly with stakeholders and technical partners to gather requirements and turn them into practical, scalable technical solutions., • Implement and refine application architectures, contributing code and configurations that improve performance, reliability, and maintainability., • Develop and execute automated unit and integration tests, and contribute directly to regression testing efforts to ensure high-quality releases., • Perform detailed code reviews, provide technical feedback, and apply best practices to improve overall code quality., • Collaborate daily with engineers, QA, automation specialists, analysts, and project managers to deliver features and enhancements on schedule., • Engage directly with external vendors and contract resources, supporting implementation efforts and ensuring alignment with technical standards. Qualifications / Requirements:, • 5 - 10+ years of hands-on experience in data engineering with advanced proficiency in SQL, Python, and big data tools (e.g., Spark, Databricks). Proven experience designing and managing ETL/ELT processes and pipelines in Azure or other cloud environments., • Strong foundation in application architecture and system design, with the ability to evaluate, structure, and scale solutions effectively., • Hands-on experience applying established design patterns to implement business logic within middle-tier services, leveraging web services and modern architectural principles as appropriate., • Experience building and supporting cloud-native solutions using Microsoft Azure, with exposure to services such as App Services, Azure Functions, AKS, Azure DevOps, Azure SQL, and related platform or infrastructure components., • Solid programming experience with C# and SQL, including hands-on work with SQL Server environments and associated tooling., • Demonstrated capability in designing, developing, and maintaining REST-based backend services, with familiarity in multi-layered API architectures that separate process and experience concerns., • Strong background in automated testing practices, including writing unit tests with dependency injection and mocking frameworks, as well as contributing to integration and regression testing strategies., • Practical knowledge of DevOps concepts, including CI/CD automation, pipeline configuration, and experience working within Agile delivery models., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field from an accredited U.S. institution., • Microsoft Azure Data Engineering certification is strongly preferred.Salary / Benefits:, • $175,000 - $200,000+ annual base salary plus 10–20% performance bonus, • Flex schedule and ability to work remote, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer matching 401(k) plan, • Generous PTO plan

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. Strategic Account Executive - AI Data Services HumanSignal is looking for an exceptional Strategic Account Executive to drive growth with the world's most innovative AI companies. You'll be selling at the cutting edge: our Label Studio platform and Data Creation Laboratory services power the training data behind breakthrough AI applications at frontier labs and Fortune 500 enterprises. This isn't traditional SaaS sales. Our customers are building the future—advanced language models, autonomous systems, embodied AI, and applications that don't exist yet. They need purpose-built datasets manufactured from scratch, not scraped from the web. You'll be selling both our platform technology and our operational capability to create novel training data in controlled environments. The technical depth, deal complexity, and strategic importance of these relationships make this one of the most exciting sales roles in AI infrastructure. You'll own relationships with AI leaders like Anthropic, OpenAI, Google DeepMind, Meta, Nvidia, Tesla, and others pushing the boundaries of what's possible. Your success will directly enable the next generation of AI breakthroughs. You Will: • Own strategic accounts: Drive the entire relationship with our most important AI customers—from initial engagement through expansion and renewal, • Hunt and close new logos: Identify and win new customers among frontier AI labs, tech giants building AI capabilities, and innovative robotics companies, • Navigate complex organizations: Build deep relationships with executive stakeholders across engineering, ML research, product, and operations within customer organizations, • Drive revenue growth: Expand wallet share by identifying new use cases, additional business units, and opportunities to deepen our partnership, • Orchestrate internally: Lead cross-functional teams including delivery operations, engineering, product, and laboratory operations to develop winning strategies and flawless execution, • Be the customer advocate: Serve as the voice of the customer internally, influencing product roadmap and operational capabilities based on market needs, • Solve complex problems: Navigate technical requirements, custom data creation scenarios, and novel use cases that have never been done before, • Think strategically: Develop and execute comprehensive account plans that position HumanSignal as the long-term data infrastructure partner, • 8+ years of enterprise sales or account management experience with a track record of exceeding quota, • 2+ years selling deeply technical products or services to both business and technical audiences (ML engineers, researchers, AI/ML leaders), • Proven success closing complex, multi-stakeholder deals in the $500K-$5M+ range, • Experience in AI/ML, data infrastructure, cloud services, or other technical domains where you've sold to engineering and research teams, • Ability to understand technical concepts quickly and translate them into business value, • Strong consultative selling skills with ability to uncover needs, navigate ambiguity, and co-create solutions, • Executive presence and experience developing relationships with C-level stakeholders, • Track record of driving renewals and expansion within strategic accounts, • Excellent written and verbal communication skills, including creating executive-level materials, • Proficiency with modern sales tools (Salesforce, Outreach, Clari, LinkedIn Sales Navigator), • Strong project management abilities and exceptional organizational skills, • Technical background or degree in Computer Science, Engineering, or related field, • Experience selling services alongside software products, • Understanding of how training data impacts model performance, • Existing relationships within the AI research or frontier lab community You're not selling commodity software—you're enabling the teams building AGI, autonomous vehicles, humanoid robots, and AI applications we can't even imagine yet. Every deal you close helps unlock new capabilities that could change the world. You'll work with the smartest people in AI, solve problems that have never been solved before, and build relationships with companies defining the future of technology. About HumanSignal At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require. We believe the next frontiers in AI won't be unlocked by scraping what's left on the web—they'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability. We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future. We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $120,000 to $200,000 USD plus commission. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

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 the Staff Machine Learning Engineer (VP) on the ML Engineering team, you will be responsible for designing, deploying, and scaling advanced ML systems that power core business functions across the enterprise. Reporting to the Executive Director of ML Engineering, you will play a critical role in building production-grade ML infrastructure, reusable frameworks, and scalable model pipelines that deliver measurable business outcomes—ranging from cost optimization to top-line growth. You will act as a technical thought leader and strategic partner, shaping the organization's machine learning engineering practices and fostering a culture of operational excellence, reliability, and responsible AI adoption. Key Responsibilities: • Architect and deploy ML systems and platforms that solve high-impact business problems across regulated enterprise environments., • Lead the development of production-ready pipelines, including feature stores, model registries, and scalable inference services., • Champion MLOps best practices (CI/CD for ML, model versioning, monitoring, observability) to ensure models are reliable, reproducible, and cost-efficient., • Partner with Data Scientists to operationalize experimental models, enabling scalability and generalizability across diverse business domains., • Integrate emerging ML engineering techniques (e.g., LLM deployment, fine-tuning pipelines, vector databases, RAG systems) into enterprise-ready solutions., • Own the design of foundational ML platforms and frameworks that serve as building blocks for downstream AI applications., • Embed controls, governance, and auditability into ML workflows, ensuring compliance with regulatory standards and responsible AI principles., • Collaborate with Engineering, Product, and Security teams to embed ML-driven decision-making into enterprise platforms and workflows., • Define and track engineering and model performance metrics (latency, scalability, cost, accuracy) to optimize systems in production. Qualifications: • 8+ years of experience building and deploying machine learning systems in production environments at enterprise or platform scale., • Proven track record of leading ML engineering projects from architecture to deployment, including ownership of production-grade systems., • Deep expertise in ML frameworks and engineering stacks (TensorFlow, PyTorch, JAX, Ray, MLflow, Kubeflow)., • Proficiency in Python and at least one backend language (e.g., Java, Scala, Go, C++)., • Strong understanding of cloud ML infrastructure (AWS SageMaker, GCP Vertex AI, Azure ML) and containerized deployments (Kubernetes, Docker)., • Hands-on experience with data and model pipelines (feature stores, registries, distributed training, inference scaling)., • Knowledge of observability and monitoring stacks (Prometheus, Grafana, ELK, Datadog) for ML system performance., • Experience collaborating with cross-functional teams in regulated industries (finance, insurance, health) with compliance and governance needs., • Exceptional communication and leadership skills, with the ability to translate complex engineering challenges into clear business outcomes., • Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing, deploying, and integrating ML solutions in enterprise ecosystems., • Exposure to LLM and GenAI engineering (fine-tuning, vector search, distributed inference)., • Experience optimizing GPU clusters, distributed training, or HPC environments., • Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services., • Drive AI transformation for some of the most sophisticated financial entities., • Competitive compensation, benefits, future equity options, and leadership opportunities. Position Location This is an onsite position based in Manhattan in New York City. Compensation The salary for this position is $290,000-$300,0000. 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 Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious engineers as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES MINIMUM QUALIFICATIONS • BSc. degree in Computer Science or related fields, • 3+ years of experience with Python, • 2+ years of experience with Go, Rust, or Scala, • 2+ years hands-on experience developing architectures with machine learning frameworks such as PyTorch, • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • MSc. degree in Computer Science or related fields, • Experience in Architecting Software Systems, • Experience Natural Language Understanding, Dialogue Systems, Semantic Parsing, Transfer Learning and learning with limited data, • Experience with building models in the commerce/retail domain Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K

Job Description About G20 Group The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview We are hiring a Prediction Market Quant Engineer to build research and trading infrastructure for operating in prediction markets (event contracts) across multiple venues. You will design models that estimate event probabilities, detect mispricing, size positions, and manage risk – then translate them into reliable systems that run end-to-end (data → forecasting → execution → monitoring). This role sits at the intersection of quant research, engineering, and market microstructure, and is ideal for someone who enjoys shipping robust systems as much as developing models. Responsibilities Modeling & Research • Develop probabilistic models to forecast outcomes of real-world events (e.g., elections, macro releases, sports, policy decisions, industry milestones)., • Combine heterogeneous signals (time series, text/news, market data, polling/alternative data, fundamentals, expert priors) into calibrated probability estimates., • Build pricing and edge frameworks: fair value, uncertainty bands, expected value, and model drift/regime diagnostics., • Design evaluation methods (proper scoring rules like log loss/Brier score, calibration curves, back-tests with realistic costs and constraints). Trading & Market Design (Applied) • Identify and exploit mis-pricings across contracts/venues; design cross-market arbitrage and relative-value strategies where feasible., • Build position sizing and risk frameworks (Kelly variants, drawdown/risk budgets, scenario stress tests, liquidity/impact-aware sizing)., • For multi-outcome markets: enforce probability coherence (no-arb constraints, normalization) and portfolio optimization across correlated contracts. Engineering & Production • Build data pipelines and real-time services for ingesting, cleaning, and versioning market + external data., • Implement execution tooling: order management, smart routing (where applicable), monitoring, and automated safeguards., • Create dashboards/alerts for performance, exposure, model health (calibration, drift), and operational integrity., • Ensure reproducibility: experiment tracking, model registry, CI/CD, and robust testing. Collaboration & Governance • Work closely with trading/risk/compliance stakeholders to translate research into controlled deployment., • Degree in Quantitative Finance, Mathematics, Computer Science, Statistics, or a related quantitative field., • Strong engineering skills with Python (required); experience with production systems and data engineering., • Solid foundation in statistics, probability, and machine learning (calibration, uncertainty, causal pitfalls, time-series)., • Experience building backtests and evaluating predictive models with appropriate metrics (e.g., log loss/Brier, calibration)., • Familiarity with trading concepts: expected value, position sizing, risk budgeting, correlation, liquidity constraints., • Ability to communicate clearly about model assumptions, limitations, and risk., • Some schedule flexibility may be required around major event windows, • Self-motivated, detail-oriented, and comfortable working in a dynamic, startup-like environment. Preferred / Desirable Experience • Prior work in forecasting, sports analytics, political modeling, event-driven trading, or market-making/liquidity modeling., • Experience with NLP for news/social/media signals; knowledge graphs or information retrieval for event resolution., • Knowledge of prediction market mechanics (order books vs AMMs, fee structures, market manipulation/anti-manipulation signals)., • Proficiency with SQL; experience with streaming systems (Kafka), workflow orchestration (Airflow), and cloud (AWS/GCP/Azure)., • Experience with Bayesian methods, probabilistic programming (Stan/PyMC), or ensemble methods., • Familiarity with rigorous experimentation: online/offline evaluation, data leakage prevention, and model governance. Tech Stack • Python, SQL, pandas/numpy/scipy, PyTorch/sklearn, • Airflow/dbt, Kafka (or equivalents), Postgres/BigQuery, • Docker, Kubernetes (optional), CI/CD (GitHub Actions), • Observability: Prometheus/Grafana, OpenTelemetry (or equivalents) Deadline for application: Jan 4, 2025 Locations and Right to work: This role will be based in our Zurich, London, New York or Hong Kong office. Only candidates who possess the pre-existing right to work in one of the locations above without company sponsorship need apply. Join G-20 and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

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 Senior Associate, Machine Learning Engineer, you'll work alongside experienced ML engineers and data scientists to design, build, and scale machine learning systems that deliver real business value. Reporting to the Executive Director of ML Engineering, you'll gain hands-on experience developing production-grade pipelines, monitoring frameworks, and scalable ML applications that support mission-critical business functions. This is a high-growth opportunity for someone with early industry experience (or strong academic grounding) in machine learning engineering, eager to deepen their expertise in production systems and MLOps while growing within a dynamic AI team operating at the frontier of applied ML. Key Responsibilities: • Contribute to the design, development, and deployment of ML models and pipelines across business-critical domains such as financial services and insurance., • Support production efforts, including model packaging, integration, CI/CD deployment, and monitoring for performance, drift, and reliability., • Collaborate with senior engineers to build internal ML engineering tools and infrastructure that improve training, testing, and observability workflows., • Partner with Data Scientists to operationalize prototype models, ensuring they are scalable, robust, and cost-efficient in production., • Work with large-scale datasets to enable feature engineering, transformation, and quality assurance within ML pipelines., • Implement monitoring dashboards, alerts, and diagnostics for model health and system performance. Qualifications: • 5+ years of experience building and deploying machine learning models in production environments, with exposure to monitoring and diagnostics., • Solid understanding of machine learning engineering fundamentals (pipelines, deployment, monitoring) and familiarity with data science workflows., • Experience with MLOps tools such as MLflow, Weights & Biases, or equivalent. Exposure to observability/monitoring systems (Prometheus, Grafana, ELK, Datadog) is a plus., • Proficiency in Python and familiarity with ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch)., • Strong experience with data manipulation and pipelines using Pandas, NumPy, and SQL., • Knowledge of containerized deployments (Docker, Kubernetes) and cloud ML services (AWS SageMaker, GCP Vertex AI, or Azure ML) preferred., • Excellent problem-solving skills, eagerness to learn, and ability to thrive in a fast-paced, evolving environment., • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field., • Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including deploying and integrating ML solutions in enterprise ecosystems., • Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM engineering workflows., • Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services., • Drive AI transformation for some of the most sophisticated financial entities., • Competitive compensation, benefits, future equity options, and leadership opportunities. Position Location This is an on-site position based in Manhattan in New York City. Compensation The base salary for this position is $190,000-$200,000. 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 DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. About the Role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability. Requirements for the Role, • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI., • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments., • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX, • Agentic AI Tools: Experience with LangGraph, Google ADK or similar., • Agentic Architectures : Experience with advanced RAG & multi-agent systems., • Programming: Strong programming skills in languages such as Python, R, C++, and SQL., • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow. XDOyWllq0r

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: We are hiring a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning systems that power our core products in User Growth and Monetization. You will work on building deeply personalized user experiences that drive business growth and meet individual needs and preferences: by targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction. The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a user’s lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge.Responsibilities: • Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features, • Define and own the technical roadmap for ML within your product area and align with company-wide priorities, • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process, • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally, • Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data, • Communicate effectively to audiences of various technical and non-technical backgroundsWhat We're Looking For:, • Strong programming skills: Proficiency in Python and ML libraries such as PyTorch, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus., • System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing)., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role, • Previous experience in User Growth or Monetization, • 3+ years of experience designing and developing end-to-end, production grade ML systems, • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, • 3+ years of experience leading projects with at least 1 other team member through completion. #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 Description Core Responsibilities • Design and Development Architect design develop and maintain high quality scalable web applications using Angular for the front end and Java Python for the back end., • Front End Implementation Build dynamic responsive user interfaces with Angular HTML5 CSS3 and TypeScript, • Back End Systems Develop robust backend components APIs RESTful and business logic using Java potentially with frameworks like Spring Boot and Python with frameworks like Django or Fast API., • Database Management Design manage and optimize relational databases using SQL ensuring efficient data storage retrieval and integrity, • Integration Integrate frontend user interfaces with backend services and third party web services, • Testing and Debugging Write clean maintainable and testable code perform testing and debugging to resolve technical issues and optimize application performance., • Collaboration Work closely with cross functional teams including QAs BAs and other developers to define design and ship new features. Requirements Key Skills and Qualifications • Programming Languages: Strong proficiency in Java Python SQL TypeScript JavaScript HTML and CSS, • Front End Frameworks: Extensive experience with the Angular framework latest versions, • Back End Frameworks: Experience with relevant backend frameworks such as Spring Boot Java or Django Flask Python, • Database: Knowledge In depth knowledge of relational database systems e.g. PostgreSQL MySQL MS SQL Server Oracle and the ability to write complex SQL queries, • Tools Technologies: Familiarity with tools like NPM (Node Package Manager) Angular CLI Git and potentially cloud platforms AWS / Azure., • Methodologies: Understanding of the full software development lifecycle and Agile methodologies., • Problem-solving Strong analytical and problem-solving skills to tackle complex technical challenges. Education and Experience • Bachelor’s degree in computer science engineering or a related field or equivalent practical experience, • Typically requires a specific number of years of experience as a Full Stack or specialized developer depending on the seniority of the role eg 5 years for a mid-level senior role

Job Description Job Title: Product Manager - App Development Location : Hybrid Compensation : 50-60$/Hr on C2C/1099 Work Authorization: GC, USC Job Description: We are seeking a strategic and motivated Product Manager to lead mobile and web app development within the healthcare payer space. This role will focus on building innovative digital products that enhance the experience of members, providers, and internal users across health plan operations. You will shape the vision, define the roadmap, and drive execution for 1–2 key app-based solutions, ensuring they align with business goals, compliance requirements, and evolving user needs. Position Purpose: Responsible for defining the vision and roadmap for 1–2 key digital products and leading their development and delivery. Act as or support the “voice of the customer,” working closely with internal stakeholders and cross-functional teams to ensure product strategies meet customer needs and business objectives. Your leadership and Agile expertise will be critical in shaping the product vision and driving impactful outcomes. Key Responsibilities: 1. Define Product Vision and Roadmap: · Develop a clear and actionable product strategy for app-based solutions within the healthcare payer domain (e.g., member apps, provider portals, claims tools). · Create and maintain a product roadmap based on market trends, business goals, and user feedback. · Write and groom user stories, ensuring alignment with Agile best practices and team workflows. 2. Collaborate Across Cross-Functional Teams: · Partner with engineering, UI/UX, QA, compliance, business, and data teams to define, build, and launch products. · Act as the liaison between stakeholders, translating business needs into technical requirements. · Be the “voice of the customer” across teams to ensure user needs are central to all phases of product development. 3. Lead Product Development Lifecycle: · Own the end-to-end development lifecycle—from ideation through design, development, testing, launch, and iteration. · Ensure app usability, accessibility, scalability, and compliance (HIPAA, NCQA, CMS) throughout the lifecycle. · Oversee and maintain product documentation including roadmaps, feature specs, and release notes. 4. Monitor Performance and Optimize: · Track KPIs including app engagement, NPS, retention, and support metrics to identify areas for improvement. · Demonstrate strong analytical skills to review performance data, identify trends, and make data-driven product decisions. · Define and drive non-functional requirements like performance monitoring, logging, and disaster recovery. 5. Drive Adoption and Support: · Launch new features with training, documentation, and marketing support for both internal and external users. · Lead product demos, end-user education, and adoption strategies in collaboration with customer success teams. Education / Experience: · Bachelor’s degree in Computer Science, Engineering, Business, or a related field. · Requires 4–6 years of related product management experience. · Equivalent experience may be considered based on demonstrated accomplishments and skills reflective of this role. · Proven experience in app development (mobile or web) in healthcare or highly regulated industries preferred. · Familiarity with payer operations including claims, eligibility, provider directories, and regulatory requirements. Soft Skills & Competencies: · Demonstrated analytical and problem-solving skills. · Ability to manage multiple projects independently and drive them to completion. · Excellent judgment, decision-making, and communication skills, including presenting to senior stakeholders. · Strong project management skills and high attention to detail. · Ability to gather facts, evaluate complex issues, and make sound product recommendations. · Proven ability to thrive in Agile/Scrum environments. · Strong communication and stakeholder management across business and technical teams. Preferred Qualifications: · Knowledge of healthcare interoperability (FHIR, HL7, X12) and CMS compliance (e.g., Interoperability Rule, Blue Button 2.0). · Experience with mobile frameworks (e.g., React Native, Flutter) and app analytics tools (e.g., Firebase, New Relic). · Background in user-centered design and digital health product development.

Job DescriptionWe deliver technology to some of the best startups and companies in the world through diverse empowered teams of technologists that want to create change in the digital world.We are an organization that was created to be a safe place for all people from all areas of life. A place where teams are gender-balanced and compensated equally. And a place where careers are unrestrained regardless of cultural, educational, or geographical background. We value people with strong technical skills that are collaborative, curious, results-driven, and take ownership. We embrace people that want to be themselves, have daily flexibility, grow, learn, and make a difference wherever the opportunity presents itself. So we hope this sounds like you. Because we are always looking for exceptional Senior Applied Scientist Engineers to work in immersive client projects that will challenge your abilities. This position requires: Role Summary We are seeking a Senior Applied Scientist to design and deploy AI systems and agentic workflows that safely automate document understanding and decision-making across FOIA, Privacy Act, eDiscovery, and Data Breach workflows. This role focuses on applied AI for high-risk, regulated documents, where systems must make or assist decisions related to review, classification, entity extraction, redaction, and disclosure, while remaining explainable, policy-aware, auditable, and defensible. You will work above core OCR and ingestion pipelines, transforming document content, metadata, layout, policy rules, and reviewer behavior into bounded automation that can be trusted in production. You will help define what decisions can be automated, under what conditions, and with what safeguards. What You’ll Own Automation of Document Decisions Design AI systems that safely automate or assist decisions related to: • Document review, including:, • Responsiveness and relevance, • Privilege and confidentiality, • Sensitivity and disclosure risk, • Entity and data extraction, including:, • Identifying, normalizing, and consolidating people, organizations, locations, and attributes, • Resolving entities across documents and datasets, • Redaction decisions, including:, • What information requires protection, • Where and how it should be applied, • Under which legal or policy authority Define automation boundaries and confidence thresholds, including: • Auto-apply vs. recommend vs. require human review, • Document-, page-, and entity-level decision logic Applied GenAI, Agentic Workflows & Document Intelligence • Build LLM-powered workflows for:, • Document and case summarization with citations and traceability, • Review assistance for responsiveness, privilege, and confidentiality, • Redaction and extraction rationale generation (the “why” behind decisions), • Implement guardrails and grounding to ensure GenAI outputs remain accurate, explainable, and policy-aligned Policy-Aware AI Systems • Translate legal and regulatory requirements into clear, testable AI behavior, • Align systems with:, • Data breach impact assessment and notification workflows, • Partner with legal, privacy, and compliance stakeholders to validate and refine decision logic Quality Assurance, Trust & Defensibility • Monitor model performance, drift, and automation outcomes in production, • Ensure all decisions are traceable, explainable, and defensible for audits, litigation, and public scrutiny Cross-Functional Leadership • Collaborate with Product, Engineering, Legal, Privacy, and Operations teams, • Influence product direction across Legal, Breach, and Government markets, • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field, • 5+ years of experience building and deploying applied ML / NLP systems in production, particularly for document understanding, classification, or extraction, • 2+ years of hands-on experience with large language models or modern GenAI techniques, including prompt design, RAG pipelines, or LLM-assisted workflows, • Experience building explainable, auditable AI systems, • Experience designing human-in-the-loop automation, • Comfortable working in ambiguous, high-risk environments, • Experience with FOIA, Privacy Act, HIPAA, GDPR, or breach response workflows, • Background in eDiscovery, legal tech, or regulated government systems, • Prior technical leadership or mentoring experience, • Experience scaling AI systems to millions of documents or pages A happy team makes a huge difference, that's why we provide: * Payment in USD or in your local currency * A truly flexible work schedule * Holiday and performance bonuses * An excellent paid time off policy * 4 free Udemy courses a year * Home exercise & wellness membership * An opportunity for you to help create change in the industry * And more! ATHENAWORKS is an inclusive safe organization that only considers your technical ability, work experience, ability to collaborate, your capacity to grow to the next level of your career, and ability to deliver great work. This means that we also embrace/welcome self-taught people as well! We will NEVER consider any other personal or professional aspects of your life. We hope that you choose to have a conversation with us today and find out what makes us different from any company that you have experienced.

Job DescriptionAbout the Role Our client is an innovative AI-driven retail security firm currently experiencing 10x growth. As they scale from individual retailers to massive enterprise clients with 100+ locations, they are seeking a Founding Applied Scientist to build their core AI capabilities from the ground up. This is not a "pure research" role. You will be a hands-on builder owning the full model development lifecycle. You’ll be responsible for everything from data collection strategy and quality assessment to training, inference optimization, and shipping production-quality code. Reporting directly to the CTO, you will collaborate with a distributed engineering team to deliver computer vision solutions that have an immediate impact on retail safety and operations. Key Responsibilities * Lead Model Development: Take full ownership of the model lifecycle, including production training, optimization, and inference deployment. * Bridge Research & Engineering: Write substantial, production-ready code (Python) to ensure CV models are successfully deployed via cross-functional engineering teams. * Strategic Data Planning: Design and implement data collection and quality assessment frameworks to improve model accuracy in real-world retail environments. * Technical Communication: Present complex technical findings and AI roadmaps to both engineering teams and executive leadership. What We’re Looking For * Experience: 3+ years of professional experience in Applied Science, ML Engineering, or Computer Vision roles. * Proven Track Record: You have shipped customer-facing products and have deep experience with real-world CV applications (e.g., YOLO or similar architectures), rather than just academic projects. * Technical Mastery: Advanced proficiency in Python with PyTorch or TensorFlow. * Academic Background: Master’s degree or PhD in Computer Science, Machine Learning, or Computer Vision. * Collaborative Spirit: Comfortable working in a fast-paced startup environment and collaborating with distributed teams across time zones (specifically Turkey-based engineering).

Job Description At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries, including financial services (particularly capital markets and fixed income), 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. Our solutions power trading desks, portfolio optimization, and risk analytics across fixed income, derivatives, and structured products. 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 the Staff Machine Learning Engineer (VP) on the AI Science team, you will be responsible for architecting and deploying cutting-edge ML systems that power core business functions across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in driving the development of scalable ML infrastructure, production-grade models, and reusable frameworks that deliver measurable business outcomes—ranging from cost optimization to top-line growth. You will bridge quantitative research and technology, with deep understanding of fixed income markets and derivatives. You will act as a technical thought leader and strategic partner in shaping the direction of the organization’s machine learning investments, fostering a culture of rigorous experimentation, reproducibility, and responsible AI. Key Responsibilities: • Design and deploy ML systems that solve high-impact business problems for critical workflows., • Develop and implement advanced ML methods including time series forecasting, reinforcement learning, optimization algorithms, and probabilistic modeling., • Lead the adoption of emerging ML techniques and tools (e.g., generative AI, LLM fine-tuning, vector databases, RAG) through rapid prototyping., • Partner with AI researchers and data scientists to translate experimental models into production-ready systems, supporting scaling and generalizability across business domains., • Own the development of foundational models and platform capabilities that serve as building blocks for downstream AI applications across the organization., • Ensure ML models are designed with safety, fairness, and transparency in mind, and aligned with internal governance frameworks and external regulatory standards., • Collaborate with cross-functional leaders in engineering, product, and business teams to embed ML-driven decision-making into core processes and workflows., • Continuously evaluate emerging ML techniques and tools, and champion their adoption through rigorous prototyping, benchmarking, and knowledge sharing., • Define and manage metrics to evaluate model performance and business impact, ensuring ML projects meet both scientific and operational standards., • Design ML-driven pricing models for fixed income securities, derivatives, and structured products., • 8+ years of experience building and deploying machine learning systems in production environments, preferably in investment banking, fixed income trading, or hedge funds, ideally within enterprise or platform-scale settings., • Proven track record of leading ML projects from ideation to production, including cross-functional collaboration and technical ownership., • Deep expertise in supervised, unsupervised, reinforcement learning or statistical modeling., • Experience with multimodal, generative AI, or large language models (e.g., LLMs, diffusion models) is a strong plus., • Proficiency in Python, along with modern ML and data stack tools (e.g., TensorFlow, PyTorch, scikit-learn, JAX, Ray, MLflow)., • Hands-on experience with MLOps principles and frameworks (e.g., CI/CD pipelines for ML, model monitoring, reproducibility)., • Strong understanding of cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI, or similar)., • Exceptional communication and collaboration skills, with the ability to translate technical details into strategic decisions., • Strong foundation in fixed income analytics, derivatives pricing, and risk management., • Commitment to responsible AI, including model fairness, transparency, and compliance with regulatory standards., • Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related discipline preferred. Preferred, but not required: • Hands-on experience with Palantir platforms (e.g., Foundry, AIP, Ontology) - including developing, deploying, and integrating machine learning solutions within Palantir’s data and AI ecosystem. Position Location This is a hybrid position based out of our New York, NY office. Compensation The base pay for this position is $240,000-285,000. A bonus will be provided as part of the compensation package, in addition to the 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 Job Title: Machine Learning Engineering Director Qualifications: • Hold a Bachelor's degree in a technical field (e.g., computer science, machine learning, mathematics, physics, statistics, econometrics), or equivalent hands-on experience., • Demonstrate coding proficiency in at least one programming language, with a strong preference for Python., • Possess a strong foundation in mathematics, statistics, and machine learning concepts, enabling the development, training, and evaluation of production models and facilitating the comprehension of research papers., • Showcase exceptional communication skills, facilitating the effective conveyance of technical ideas and fostering productive collaborations with business partners., • Exhibit an entrepreneurial mindset and a deep passion for unlocking the potential of Large Language Models (LLMs) and classical machine learning techniques to drive a multi-billion dollar business., • Provide evidence of successful management experience, having effectively led teams of 1-2 machine learning engineers or scientists., • Proficiency in building RESTful APIs, ideally using Flask, FastAPI, or other Python frameworks., • Experience in constructing data pipelines that underpin Machine Learning model development., • Familiarity with Python libraries for machine learning, data manipulation, and mathematics, such as PyTorch, numpy, and pandas.

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 opportunityThe vision for this opportunity is to create an intelligent system that operates in an experimental material science setting. Your core responsibility will be to lead the development of an agentic system for materials development, enhancing reasoning and planning throughout the development process, encompassing data acquisition, model evaluation, pre- and post-training, supervised fine-tuning, reward modeling, and reinforcement learning to drive overall performance of the system. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Drive the development of a system that can pursue complex, multi-objective goals in materials design with limited direct supervision, leveraging agents and multi-agents that can interact with third-party and in-house integrations, including APIs, code interpreters, and hardware components., • Leverage various LLM architectures and models to balance reasoning and continuous adaptation towards intelligent decision-making., • Synthesize large-scale, high-quality (multi-modal) data through methods such as rewriting, augmentation, and generation to improve the abilities of models in various stages., • Work in collaboration with various teams, in particular the experimental materials science team., • Develop and apply reliable evaluation methods to analyze model performance at different stages, uncover the mechanisms and origins of their capabilities, and leverage these insights to enhance model development., • Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops., • The ability to tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, or a closely related field, with a strong focus on LLMs., • At least 3 years of research experience in AI, with a proven track record of designing agentic systems., • Familiarity with large-scale model training., • Proficiency in Python and relevant ML libraries (e.g., PyTorch)., • Strong publication record in top-tier AI/ML conferences or journals., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Passionate about leveraging ML for science related problems and a commitment to doing world-class research., • Domain knowledge of materials and/or molecules., • Familiarity with large-scale model training., • Experience with LLM engineering., • Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences.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 DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs an ML Engineer at Radical AI, you will be responsible for developing machine learning systems, data pipelines, and large-scale training infrastructure. You will orchestrate entire machine learning lifecycles, but also data ingestion, enrichment, model exporting and serving, and much more. Your work will directly impact the development of an end-to-end AI-driven approach to materials discovery and development. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Develop, train, and deploy machine learning models to solve complex problems in materials science and lab automation., • Experiment with cutting-edge ML algorithms and techniques to improve performance and scalability., • Collaborate with researchers on the pre- and post-training stages of model development., • Conduct production-level deployments of our machine learning models and infrastructure., • Continually evaluate model performance and maintain production integrity., • Ensure reproducibility and traceability of models by leveraging version control systems and orchestration tools., • Contribute to research initiatives and participate in knowledge-sharing across teams., • Document workflows, experiments, and deployment procedures for future reference., • Tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, Engineering or a closely related field, or equivalent practical experience., • Proven record of accomplishment in building machine learning systems, working with large generative and/or language models, • An excellent understanding of machine learning infrastructure and systems fundamentals., • Strong background in algorithms, data structures, and software engineering principles., • Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching., • Proficiency in Python and relevant ML libraries (e.g., PyTorch), as well as tools for deploying ML models (e.g., MLflow, K8s, Docker)., • Passion for staying current with the latest trends in AI/ML technologies., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Familiarity with distributed computing frameworks such as Ray, Spark, etc., • Strong fundamental knowledge and practical experience using Linux systems, including working with large-scale computing clusters., • Hands-on experience with MLOps tools (e.g., Kubeflow, Seldon, CI/CD pipelines for ML)., • Familiarity with serverless architecture and cost optimization for ML workflows., • Strong publication record in top-tier AI/ML conferences or journals.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 Description Basic Qualifications: • Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java., • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Ability to lead projects with several cross-org dependencies and design complexities, • Large-scale training using data structures and algorithms, • Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning) Preferred Qualifications • PhD or equivalent in Computer Science, Engineering, Mathematics or related field, • 8+ years of experience in professional software development experience, developing and deploying systems in production environments, • Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib, • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Anomaly Detection Techniques, • Deep Learning, • Scalable ML architecture, • Feature management, • Causal ML, • Reinforcement learning Anticipated base 250-280k + bonus + equity and comprehensive benefits

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . About The Job: Technical Lead, Applied AI Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do • \uD83D\uDCB0 Competitive salary and equity., • \uD83D\uDE91 Healthcare: Medical/Dental/Vision covered for you and your family., • \uD83D\uDC74\uD83C\uDFFB Pension : 401K (6% matching), • \uD83C\uDFDD️ PTO : 18 days, • \uD83D\uDE97 Transportation: Reimburse office parking charges, or $120/month for public transport, • \uD83C\uDFC0 Sport: $120/month reimbursement for gym membership, • \uD83E\uDD55 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger), • \uD83C\uDF0E Visa sponsorship

Job Description POSITION SUMMARY: The Design Engineer – Civil/Site is a mid-level position with 2-4 years of experience. This individual will provide engineering services on all phases of an assigned project under the supervision of the Project Manager. PRIMARY DUTIES: • Perform and/or oversee civil/site design for a variety of projects including parks, municipal infrastructure, athletic facilities, schools/colleges/universities, industrial and commercial developments., • Prepare NJDEP Department of Land Use Regulation permit applications as required by project scope., • Perform hydrologic/hydraulic modeling as required for land development, roadway and culvert/bridge projects., • Responsible for scope, schedule and budget adherence to assigned tasks., • Proficient in the Microsoft Office Suite of software including, but not limited to Word Excel, PowerPoint, etc., • Proficient in AutoCAD® Civil 3d computer aided design software, • Proficient in Bentley/ MicroStation design software, • Proficient in hydrologic/hydraulic modeling software, including Bentley PondPack, StormCAD, FlowMaster and USACOE HEC-HMS and HEC-RAS software, • Ability to solve problems, • Strong oral and written communication skills, • Proven ability to multitask, appropriately prioritize workflow and complete tasks on schedule and within budget, • Excellent time management skills EDUCATION/EXPERIENCE: • Bachelors of Science Degree in Engineering (Civil Engineering Preferred) from an accredited four-year college or university CERTIFICATIONS/LICENSES REQUIRED: While performing the duties of this job, the employee occasionally works in the field and may be exposed to outside weather conditions. Work requires frequent and prolonged computer use. Occasional lifting up to 25 pounds. This company is an Equal Opportunity Employer. We invite resumes from all qualified, interested parties, regardless of race, gender, national origin, religion, sexual orientation, disability, age, or any other protected classification under national or local law. The annual base salary range for this full-time position in the United States is $61,000 - $91,500. This range represents a good faith estimate and is based on factors such as the role, level, and geographic location. The range shown reflects the minimum and maximum target salaries for this position across all U.S. locations. Within this range, individual compensation will be determined based on job-related factors including skills, experience, education, and training. In addition to base salary, Remington & Vernick Engineers offers a comprehensive and competitive benefits package. Benefits include: • Medical, dental, and vision insurance, • Short-term and long-term disability insurance, • Life insurance, • 401(k) retirement plan, • Paid holidays and paid time off (PTO), • 12 weeks of paid parental leave for birthing parents, • Supplemental bonding leave for non-birthing parents in states that do not offer a paid family leave program, • Wellness program, • Tuition reimbursement, • Support for professional development and credentialing At Remington & Vernick Engineers, our compensation and benefits philosophy reflects our core values - Drive, Integrity, Initiative, Respect, and Service. We celebrate achievement, encourage personal and professional growth, and believe that enjoying your work and building strong relationships with your team and clients are key to long-term success. We foster a high-performance environment that thrives on camaraderie, collaboration, and shared wins. This position is subject to a background check, in accordance with company policy and applicable laws. Employment is also contingent upon verification of eligibility to work in the United States. While this job description is intended to be an accurate reflection of the job requirements, management reserves the right to modify, add, or remove duties from particular jobs and to assign other duties as necessary.

Job Description About Daiwa Capital Markets America Inc.: Incorporated in 1964, Daiwa Capital Markets America Inc. (“DCMA”) is a New York-based registered securities broker-dealer, a futures commission merchant, a primary dealer of U.S. Treasury securities, and a member of the New York Stock Exchange and other major U.S. exchanges. Our main focus is on the sales and trading of Japanese, Asian, and U.S. equities, fixed income instruments, financial futures, and investment banking for institutional customers. DCMA’s ultimate parent company is Daiwa Securities Group Inc., one of the largest brokerage and financial services groups in Japan. Position Summary: We are seeking an experienced Enterprise Engineer to join our IT Infrastructure team within a fast-paced financial environment. This role involves the ongoing administration and maintenance of highly available corporate applications and systems. This role ensures optimal performance, security, and scalability while collaborating with IT teams and third-party vendors. Key responsibilities include deploying and automating system processes, addressing critical issues, providing 24x7 support for line-of-business applications, leading server patching and vulnerability remediation efforts. The Enterprise Engineer will document system configurations, mentor team members and remain informed about the latest technology trends to recommend enhancements to the firm's technical platforms. Reporting to the Enterprise Technology Manager in the Information Technology Department, you will be an integral part of the Enterprise Technology group operating in an environment of high team collaboration with a strong desire to respond and resolve problems and requests in a prompt manner. Core Responsibilities: • Oversee and maintain hybrid environments, including on-premises Windows Server infrastructure and cloud-based services (e.g., Azure), ensuring seamless integration, service availability, and operating system interoperability across platforms., • Manage and support a wide range of enterprise applications and services such as Omnissa Horizon, Citrix XenApp, Informatica PowerCenter, Swift Alliance, IBM MQ, Automation tools (e.g., Redwood, Power Automate, ActiveBatch), Manage Engine Endpoint Central, Microsoft Azure, Docker, Web servers (e.g., Apache, IIS), and Office 365 services (e.g., Entra,Intune, SharePoint, Teams, Exchange)., • Design, implement and automate system management processes using PowerShell and other automation tools., • Administer and maintain Windows Server and Windows 11 environments., • Develop solutions for capacity planning, system optimization, patch management, and issue remediation., • Monitor system performance, troubleshoot critical issues, and ensure compliance with security protocols., • Interface with enterprise application vendors in the areas of system onboarding and offboarding, contract negotiation, designing and implementing enterprise system interfaces (on and off premise API’s, etc.)., • Conduct BCP testing of the firm’s critical systems and infrastructure components and report results to the firm’s BCM team., • Proficient in implementing and managing Public Key Infrastructure (PKI) solutions to ensure secure digital communication and data integrity., • Collaborate with IT functional teams (Security, Development, Service Desk) and external vendors to design and test enterprise solutions., • Assist in cloud adoption efforts by evaluating, deploying, and integrating cloud-based applications and platforms., • Responsible for deploying product updates, identifying and resolving production issues, while maintaining the highest levels of security, resiliency and uptime., • Maintain detailed documentation and release notes for system changes, following strict change management processes., • Provide technical guidance to leadership and peer engineers., • Implement automated procedures for system maintenance and technical issues as required., • Stay updated with technology trends and recommend best practices to improve resiliency, security, and efficiency., • Address security related tasks / projects., • Bachelor's degree in Computer Science, Engineering, or a related field required., • 7-10 years of experience in systems engineering or cloud architecture roles., • Extensive experience with system automation and scripting tools (e.g., PowerShell) and infrastructure management platforms (e.g., Manage Engine, SCCM)., • Expertise in managing hybrid environments and supporting cloud platforms like Microsoft Azure and Microsoft Office 365., • Proficiency in Omnissa Horizon support and management including thin/zero client deployment., • Ability to build strong relationships with team members, vendors, and non-IT stakeholders., • Ability to work late in order to troubleshoot and perform upgrades and system maintenance outside of business hours., • Prior experience in training other staff members on technical systems and processes, showcasing leadership capabilities and team collaboration., • Ability to independently manage projects from research and testing to production deployment., • Exceptional server/systems troubleshooting skills and ability to resolve complex technical issues., • Excellent troubleshooting, analytical, and communication skills (written and verbal) with a high focus on customer service., • Strong ability to work independently and under tight deadlines., • Detail-oriented, organized, and able to handle both technical challenges and user interactions effectively., • Possession of high-level certifications in Microsoft Azure, Cloud Architecture, Windows Administration, VMware Certified Professional (VCP) or other industry / Microsoft certifications., • Skilled in disaster recovery and business continuity planning related to enterprise systems and platforms. Daiwa Capital Markets America Inc. has a vibrant company culture made up of a diverse team of professionals. We seek to foster an atmosphere in which our employees understand, respect, and inspire each other. We will continue to build a culture that encourages everyone at DCMA to take pride in their work. How we work — individually, with each other, and with our communities — is just as important as what we do and shapes who we are as an organization. Our people are our most important asset, and as a result, we offer a competitive and robust total rewards package which includes, but is not limited to: • Competitive Benefits Package (Medical, Dental and Vision), • Ancillary Insurance (Basic Life Insurance, AD&D Insurance, and Short & Long-term Disability), • Flexible Spending and Health Savings Accounts (FSA and HSA), • Employee Assistance Program (EAP), • Comprehensive health and wellness benefits, • Parental Leave, • Family building benefits, • 401(k) with company match, • Paid Time Off and holidays, • Professional development, educational assistance and training programs DCMA provides equal employment opportunities for all applicants and employees. We are committed to providing a work environment that is free of discrimination and harassment. DCMA prohibits discrimination based on race, color, religion, gender identity, national origin, sexual orientation, age, disability, military or veteran status, or other attributes protected under applicable federal, state, or local laws.

Job Description Changing Healthcare For Good At Angle Health, we believe the healthcare system should be accessible, transparent, and easy to navigate. As an AI-native, integrated healthcare company, we are replacing legacy systems with modern infrastructure to deliver members and patients the care they need when they need it. If you want to build the future of healthcare, we'd love for you to join us. The Role As an early engineer at Angle, you'll play a key role in architecting and scaling the core backend infrastructure that powers our healthcare platform. This is an opportunity to build systems from the ground up—designing APIs, structuring data models, and optimizing performance to support a high-growth company. You'll work closely with product owners, designers, and other engineers to bring new features to life, ensuring our systems are both scalable and reliable. From architecting backend services to debugging performance bottlenecks, you’ll have full ownership of the product lifecycle—shaping everything from system design to implementation. This role is perfect for engineers who love tackling complex problems in a fast-paced environment, enjoy working with cross-functional teams, and want to see their work directly impact the future of healthcare. If you're excited by the challenge of building high-performance backend systems at scale, we'd love to have you on board. This position is based in our NYC office. Core Responsibilities * Work directly with the Head of R&D in architecting and building Angle's backend infrastructure * Work with product owners & designers to build a scalable implementation process across multiple web products * Support the entire application lifecycle, including concept, design, test, release, and support phases * Build optimal backend applications that are performant at scale * Work together with the product leadership to plan new features * Oversee the compliance of applications with established quality standards What We Value * 4+ years software engineering experience * Strong understanding of business context and a desire to connect engineering solutions to real-world problems, driving impactful outcomes for the company and its users * Strong engineering background in technical fields such as Computer Science, Mathematics, Software Engineering, and Physics * Familiarity with data structures, CI/CD, software development lifecycles, backend frameworks, and other technical tools * Demonstrated proficiency in Python and Django, experience with Java is a plus * Demonstrated ability to learn and work independently and make decisions with minimal supervision * A desire to be part of the journey to change the face of healthcare * Inspire your colleagues with your thirst for mastering the things you work with * Are a passionate developer, proud of the quality of your work The salary range for this job opportunity is $100,000 to $240,000 per year, which is the amount Angle Health anticipates paying for this position at the time of this job posting. The actual base salary offered may differ and will depend on various factors such as geographic location, skills, qualifications, and experience, as well as internal equity. Because We Value You: * Competitive compensation and stock options * 100% company-paid health, vision, and dental insurance — for you and your dependents * Supplemental Life, AD&D, and Short-Term Disability coverage options * Discretionary time off — take the time you need, when you need it * Opportunity for rapid career progression * 3 months of paid parental leave, plus a flexible return-to-work policy (after 12 months of employment) * Equinox membership, Monthly MetroCard, and Annual Citi Bike coverage for NYC office employees * 401(k) retirement savings plan * Company-provided lunch and dinner for in-office employees * More exciting benefits coming soon! About Us Backed by a team of world class investors, we are a healthcare startup on a mission to make our health system more effective, accessible, and affordable to everyone. From running large hospitals and health plans to serving on federal healthcare advisory boards to solving the world's hardest problems at Palantir, our team has done it all. As part of this core group at Angle Health, you will have the right balance of support and autonomy to grow both personally and professionally and the opportunity to own large parts of the business and scale with the company. Angle Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Angle Health is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. ⚠️ A Note on Recruiting Outreach We’ve been made aware of individuals falsely claiming to represent Angle Health using lookalike email addresses (like @anglehealthcareers.com). Please note that all legitimate emails from our team come from @anglehealth.com. We will never ask for sensitive information or conduct interviews via messaging apps. Compensation Range: $100K - $240K

Job Description As a Sales Engineer, you will sit at the critical intersection of engineering, trust and safety, and customer success. You will be responsible for ensuring that as client processes 40,000+ daily transactions, the platform remains safe from fraud, collusion, and high-risk activity. This is a "player-coach" role (90% IC, 10% Lead) for a technical expert who thrives in a 0-to-1 startup environment. What You Will Do • Guard the Platform: Moderate transactions for chargeback risk, seller/buyer fraud, and collusion. Make critical decisions on fund holds, refunds, and seller onboarding reserves., • Build Infrastructure: Own the KYC (Know Your Customer) and payout flows. Your goal is to make these extensible via public APIs that can be embedded or linked., • Content Moderation: Fight spam and scams within DMs to maintain a high-trust environment., • Drive Innovation: Execute A/B experiments on checkout flows and KYC setups. Looking ahead, you will help architect Banking-as-a-Service, debit card issuance, and crypto bridging., • Experience: 4–10 years as a Sales Engineer, Forward Deployed Engineer, or Customer Engineer within the Payments or Fintech sector., • Pedigree: A Computer Science degree from a Top 10 program (e.g., Stanford, Waterloo, CMU). Experience at a top-tier payments company like Stripe or a YC-backed startup is highly preferred., • Technical Mastery: Deep proficiency in Ruby on Rails, Next.js, TypeScript, and SQL., • Startup Mindset: You are a "builder" who is excited to be hands-on. You are relentlessly responsive to customer needs and can translate complex technical requirements into clear solutions., • Presence: This role is based in our Brooklyn, NY office, 5 days per week.

Job Description Job Overview The Financial Crime Data Scientist combines investigative expertise with advanced data science techniques to identify, assess, and mitigate financial risks, fraud, and emerging cyber-enabled threats. This role will analyze transactional, behavioral, and device-level signals; detect indicators of compromise; identify anomalous activity; and support intelligence integration into Appgate’s Fraud security products. The analyst will collaborate closely with internal product teams and other external intelligence sources to track financial crime patterns (e.g., ransomware operators, malware families, account takeover trends, money mule networks) and translate insights into predictive models, detection rules, and automated workflows. This candidate bridges fraud investigation, data analysis, and technical implementation while working cross-functionally with Product, Engineering, Risk, Marketing, and Operations. This is an on-site role with 5 days required in our NY office. Responsibilities Fraud & Threat Intelligence • Conduct in-depth investigations into financial crime activity, including transaction fraud, account compromise, synthetic identity, malware-enabled fraud, and ransomware monetization patterns., • Monitor intelligence feeds for emerging threat actors, TTPs, botnet activity, phishing kits, malware variants, and monetization schemes., • Collect, clean, engineer, and analyze large datasets using Python, SQL, and cloud-based data platforms., • Perform statistical analysis, clustering, anomaly detection, and supervised/unsupervised machine learning to improve predictive fraud scoring., • Build and maintain analytical data pipelines with engineers using tools such as Airflow, dbt, Spark, or similar., • Automate data ingestion (APIs, logs, intelligence feeds, enrichment sources) for ongoing fraud monitoring., • Translate fraud intelligence into actionable requirements for product and engineering teams (e.g., detection rules, model features, new risk signals)., • Collaborate with marketing and customer-facing teams to prepare intelligence briefs, threat summaries, and fraud trend reports., • Maintain strict confidentiality and follow handling protocols for sensitive data, PII, and regulated financial information., • Stay current on fraud trends, sanctions, AML regulations, and industry standards. Required Qualifications • Bachelors/Masters degree in Data Science, Applied Statistics, Digital Forensics, Financial Engineering, Criminology, Computer Science, Cybersecurity, or relevant field; or equivalent experience., • 1–3+ years in fraud detection, threat intelligence, financial crime investigations, cyber threat analysis, or risk operations., • Strong proficiency in:, • SQL for data extraction and manipulation, • Python (pandas, NumPy, scikit-learn) for data analysis, • Data visualization tools (Tableau, Power BI, Looker, etc.), • Familiarity with machine learning concepts, anomaly detection, statistics, and predictive modeling., • Experience with fraud platforms, case management systems, device intelligence, or behavioral analytics systems., • Demonstrated investigative mindset with excellent documentation and communication skills. Preferred / Nice-to-Have Technical Skills • Experience with big data technologies (Spark, Databricks, Snowflake)., • Knowledge of fraud-specific data sources: device fingerprinting, behavioral biometrics, geolocation, IP intelligence, OSINT, malware intel feeds., • Familiarity with malware families, attack chains, and cyber threat intelligence frameworks such as MITRE ATT&CK., • Exposure to API-based integrations, data enrichment pipelines, and log analysis., • Understanding of risk scoring systems, rules engines, or real-time decisioning platforms., • Experience with AML, KYC, BSA, sanctions screening, or cryptocurrency tracing tools. Key Competencies • Analytical and critical thinking, • Statistical and machine learning literacy, • Effective communication and storytelling with data, • Investigative rigor and attention to detail, • Cross-functional collaboration, • Integrity and confidentiality, • Position is on-site in our NYC office., • Willing to relocate if not local to NYC., • No visa sponsorships are available at the moment., • Compensation Range: 140-175k base + bonus AppGate is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

Job Description Job Title: Senior Product Manager – API Integrations & Technical Support Location : Hybrid Compensation : 50-60$/Hr on C2C/1099 Work Authorization: GC, USC Position Summary We are seeking a Senior Product Manager to lead the strategy, design, and execution of enterprise API integrations and technical support solutions across our healthcare payer ecosystem. This individual will play a key role in enabling secure, scalable, and standards-based interoperability between internal systems, provider networks, third-party platforms, and regulatory agencies. This role demands a deep understanding of API lifecycle management, healthcare data standards (e.g., HL7, FHIR, X12), and enterprise integration strategies, combined with strong leadership and cross-functional collaboration skills. The ideal candidate will have experience delivering technical solutions in complex healthcare payer environments, with a focus on performance, reliability, and supportability. Key Responsibilities · Lead the product lifecycle for API integration capabilities — from strategy and roadmap definition through development, deployment, and ongoing support. · Define and maintain API product specifications, data models, standards, and usage documentation to enable secure and consistent integrations across payer platforms. · Partner with engineering, architecture, data governance, and business stakeholders to map source systems and data requirements to external and internal integration needs. · Drive alignment between business requirements (e.g., provider access, claims integration, eligibility checks) and technical delivery, ensuring APIs meet the performance, security, and compliance needs of a healthcare organization. · Collaborate with technical support teams to define and evolve API error handling, monitoring, versioning, and issue resolution protocols. · Lead technical support strategy for APIs, ensuring partners and developers have the tools, documentation, and guidance needed for successful integration. · Work with analytics and engineering teams to analyze API usage patterns, identify performance issues or opportunities, and define KPIs for platform reliability and customer satisfaction. · Facilitate cross-functional planning and agile execution, including backlog grooming, sprint prioritization, and go-to-market readiness. · Support enterprise interoperability and compliance initiatives (e.g., CMS Interoperability Rule, TEFCA) by managing APIs and integrations aligned with regulatory requirements. Required Qualifications · 7+ years of experience in product management or technical product leadership, including 3+ years specifically focused on APIs and system integrations in a healthcare payer or similarly complex, regulated environment. · Strong understanding of payer business domains, including claims processing, eligibility and enrollment, provider systems, and EHR/EMR integration. · Proven ability to write or review API specifications and documentation (e.g., Swagger/OpenAPI), data models, and integration guides. · Experience with data mapping, source-to-target documentation, and working with enterprise data teams to align API functionality to source systems. · Deep familiarity with RESTful API design, API lifecycle management, and platforms like Apigee, Mulesoft, AWS API Gateway, or equivalent. · Strong understanding of FHIR, HL7, X12, and other healthcare interoperability standards. · Ability to analyze and report on technical issues, usage trends, and integration KPIs. · Excellent collaboration and communication skills; ability to interface effectively with engineers, business teams, and external partners. · Hands-on experience supporting technical troubleshooting and resolution for partner or internal developer API issues. Education · Bachelor's degree in Computer Science, Information Systems, Healthcare Administration, or a related field required. · Master’s degree or certifications in Product Management, Healthcare IT, or Cloud/Integration Platforms preferred. Preferred Experience · Experience working with or integrating provider portals, clearinghouses, or EHR platforms (e.g., Epic, Cerner). · Knowledge of CMS interoperability regulations, ONC guidelines, and payer data exchange requirements. · Familiarity with service-level management for APIs, including uptime SLAs, support tiers, and incident response. · Prior involvement in modernizing legacy systems or leading digital transformation initiatives in payer environments.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is seeking an experienced, highly motivated Control Systems Engineer — LabView Developer to join its rapidly growing team. The Control Systems Engineer will have ownership of the design, development, and commissioning of the control system for complex equipment within Thea Energy’s stellarator fusion demonstration plant. As part of a rapidly growing team, you’ll be part of the organizational build-up of a leading fusion energy company. This role will have a high degree of autonomy and must be able to move quickly. The Thea Energy team is comprised of self-motivated, creative, and fun individuals with an excitement for solving complex problems.Key Responsibility Areas: • Work with a team of experts in developing controls for Thea Energy’s systems., • Architect, program, and document cutting-edge distributed Data Acquisition and Control (DAC) projects utilizing National Instruments hardware and software, such as LabVIEW, VeriStand, TestStand, SystemLink incorporating DAQ, PXI, cRIO, and RIO (FPGA) architectures., • Develop modular, readable, and reusable LabVIEW code, emphasizing reliability and continual improvement., • Create engineering tools, including both desktop and web-based testing applications., • Integrate VHDL and C codes into hardware-in-the-loop (HIL) systems, utilizing both NI and open-source hardware and software platforms., • Collaborate with hardware and systems engineers to define interfaces and requirements and ensure seamless integration of DAC/HIL solutions., • Troubleshoot and swiftly resolve issues in LabVIEW-based DAC/HIL systems., • Develop and execute comprehensive test plans., • Document design specifications, test procedures, and user manuals for automation and acquisition systems.Ideal Experience & Skillsets:, • Extensive experience as a control engineer on complex, large-scale systems., • Experience with magnetic confinement fusion, aerospace, or other highly technical industries., • B.S. or M.S. in Computer Science, Electrical Engineering, or a related physics or engineering discipline., • 5+ years of hands-on LabVIEW development experience; experience with VeriStand, TestStand and SystemLink., • Proven success in advanced LabVIEW programming, focusing on Data Acquisition and Control or HIL systems, within scientific, industrial, or research environments., • Proficiency with National Instruments hardware, including cRIO, PXIe, and expertise in both Windows and RT Linux environments., • Competency in HIL/SIL software architecture., • Proficient in the development and optimization of LabVIEW applications and LabVIEW Certification (Certified LabVIEW Developer and/or Architect) is advantageous., • Exceptional work ethic and communication skills.Company Benefits:, • Salary range $95,000-$160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted analytics, cloud infrastructure, and data ingestion pipelines that power our customer-facing applications and internal modeling platforms. This role is well-suited for an engineer who enjoys working close to the data and infrastructure layers, has strong architectural judgment, and is excited to operate across AI systems, databases, and distributed backend services. You will take ownership of complex systems, drive major technical migrations, and help shape how intelligence is embedded into industrial energy workflows. You will collaborate closely with product, modeling, and frontend engineers, and you will have significant influence over platform direction, reliability, and long-term scalability. Key Responsibilities As a Senior Software Engineer, you will contribute across several interconnected areas: Intelligent Systems • Map customer domains and operational workflows into effective prompts and AI system interfaces, • Design, execute, and iterate on evals for AI outputs, • Incorporate customer feedback and reinforcement signals to improve system behavior, • Refine context selection, retrieval, and trace collection to improve output quality, • Fine-tune smaller models using collected traces to reduce latency while preserving performance, • Evaluate and integrate new AI platforms and models as they become available, • Support training and deployment of large, time-series-focused modelsBackend Platform & Data Infrastructure, • Lead migrations and upgrades of our time-series data schemas and storage engines, • Upgrade and maintain PostgreSQL and related database infrastructure, • Develop and maintain data connectors for industrial and third-party systems, • Lead MQTT-based data ingestion pipeline improvements, • Transition PostgREST to GraphQL-based framework and evolve our API architecture, • Improve TigerData to next-gen time series design and simplify multi-tenant provisioning workflowsDatabase & Analytics Systems, • Optimize performance and reliability of high-volume time-series data stores, • Design and execute architecture plans for TigerData, • Augment analytical workloads using Parquet and/or Iceberg-based storage formats, • Balance real-time and historical query performance across operational and analytical use casesModeling Platform Support, • Improve and consolidate internal machine learning systems, • Enable parallelized and distributed model training workflows, • Implement message brokers and orchestration mechanisms for multi-stage learning pipelines, • Improve reproducibility, traceability, and coordination across modeling stagesReliability & Developer Experience, • Strengthen cloud infrastructure uptime, observability, and deployment reliability, • Standardize build, test, and release processes across services, • Improve developer tooling and internal platform ergonomics, • Port backend services from bun to Node.js where appropriate, • Track and improve DORA metrics (deployment frequency, lead time, change failure rate, recovery time), • Ensuring CVector's modeling and analysis ecosystem supports and enhances our AI Agent experience, • Developing and integrating with market data APIs for energy and commodity prices, carbon intensity, and weather forecasts., • Implementing a host of time series analysis techniques including AI/ML-drive methods for energy forecasting and predictive failure., • Developing and using our algorithm training architecture to ensure quality results for our customers., • Developing and deploying TEA and LP models to optimize equipment and facility operations., • Preparing and delivering TEA and LP model results to customers to inform their development and facility expansion plans., • Collaborating directly with customers to refine and deploy solutions tailored to their project operational needs., • Analyze customer data with a host of statistical methods and tools to distill actionable recommendations for customers. Our current technology stack includes Python, TypeScript, Supabase, PostgreSQL, MQTT, TigerData, InfluxDB, AWS, and GitHub-based CI/CD workflows. A strong candidate will bring: • A relevant engineering degree or equivalent professional experience with a strong computer science foundation, • 5+ years experience building and operating production backend systems, • Strong proficiency in Python and/or TypeScript for backend development, • Experience with databases, especially PostgreSQL and time-series or analytical data stores, • Familiarity with event-driven systems, streaming data, or message brokers, • Experience designing or supporting AI/ML systems in production is a strong plus, • Comfort working on infrastructure, data pipelines, and evolving system architectures, • Strong communication skills and the ability to collaborate in a high-ownership environment, • Experience working in a startup or fast-moving product organization CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable Why This Role Matters at CVector This role sits at the intersection of AI systems, time-series data, and real-world energy infrastructure. Your work will directly impact system reliability, customer trust, and CVector’s ability to scale intelligent energy management across industries. If you enjoy solving deep backend problems, shaping platform foundations, and embedding intelligence into physical systems, this role offers both technical challenge and real-world impact.

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 Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the role: As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together! In this role, you will: • Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on networking technologies within high-performance compute (HPC) environments, • Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements., • Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments., • Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise., • Act as a virtual member of CoreWeave's Networking product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions., • Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture., • Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions., • Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders., • Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption., • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on infrastructure networking., • Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions, • Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences, • Expertise with a broad range of networking technologies and topics, with a familiarity to understand the needs and use cases is it relates to securing and enabling high performance networking engironments., • Experience with managing infrastructure networking, Kubernnetes CSI management, and private networking concepts, • Code contributions to open-source inference frameworks, • Experience with scripting and automation related to network technologies, • Experience with building solutions across multi-cloud environments, • You love to help solve challenging technical problems, • You're curious about the latest and greatest technologies in the AI space At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. 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 The base salary range for this role is $165,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Primary responsibility for this role is to oversee the IT infrastructure, system engineering team and cyber security compliance to ensure the Technology operations align with the organizations and business objectives and goals. This individual’s principal goals are to develop and manage systems portfolio for each department and to attain all IT service level agreements for the user community within the organization. Successful candidate will plan, coordinate, direct, and design operational activities of the Technology department with a focus on network infrastructure, virtualized platforms (VMware), Windows and Linux servers, cloud computing, business applications, and cyber security protection as well as provide direction and support for IT solutions that enhance mission-critical business operations. As a member of the leadership team, executive will report to the CTO and work closely with decision makers in other departments to identify, recommend, develop, implement, and support cost-effective technology solutions for all aspects of the organization. Experience within the sports, event or entertainment industry and working with event technology is highly desirable. Requirements Strategy & Planning • Develop and implement strategic initiatives for acquiring and utilizing effective and economical technologies that align with business and technological goals., • Oversee the operational and strategic planning within the IT department, including the assessment of business needs, project management, organization, execution, negotiations, and resource allocation to ensure alignment with both short- and long-term targets of the Technology group., • Establish and uphold data protection and compliance policies while maintaining the Enterprise Business Continuity Planning (BCP) framework. Operational Management • As needed, redesign systems to ensure alignment with business processes and the organization's strategic objectives., • This role is hands-on, requiring the candidate to actively engage in the daily operations and management of the systems they supervise., • Track and communicate project milestones, service level agreements, and resource allocations to the head of the IT department and key business stakeholders., • Formulate and evaluate operational and capital budgets to ensure adherence to the IT goals, guidelines, and overarching organizational objectives., • Assess the performance of IT systems to identify operating costs, productivity rates, and necessary upgrades., • Benchmark, analyze, report on, and provide recommendations for enhancing the IT infrastructure and systems., • Develop and maintain the Business Continuity Plan (BCP) and Incident Response (IR) plan, as well as related data protection and recovery procedures for on-premises data centers and cloud systems., • Authorize and supervise the installation, monitoring, maintenance, development, and support of all hardware and software based on departmental requirements., • Oversee technology provisioning and technical support services for all IT clientele, including fans, end-users, tenants, and partners., • Create and enforce all IT policies and procedures, encompassing architecture, security, disaster recovery, standards, and service delivery., • Manage relationships with vendors, consultants, contract employees, and service agreements., • Direct IT staffing efforts, which include recruitment, supervision, scheduling, training, performance evaluation, and disciplinary actions., • Establish and sustain regular written and face-to-face communication with the organization’s executives, department heads, and end users regarding relevant IT activities. Formal Education & Certification • A university degree in computer science, information systems, or a related field, along with relevant work experience., • Certifications in areas such as Cybersecurity, Microsoft 365 Administration, Azure, and Network Engineering., • Strong practical knowledge of project management methodologies and principles. Knowledge & Experience • A minimum of 7 years of experience managing IT operations., • Demonstrated expertise in IT infrastructure strategic planning, project management, and policy formulation., • Extensive understanding, technical knowledge, and hands-on experience with network systems, Windows and Linux server operating systems, hardware, protocols, and standards, including MS Active Directory, MSSQL, MS365, Azure, AWS, Extreme Networks, firewalls, and routing protocols., • Familiarity with managing SIEM, MDR, and XDR solutions and associated vendors., • Experience in designing and developing systems from business requirements analysis through to ongoing management., • Proficient in facilitating server migration from on-premises to cloud environments., • Knowledgeable about business theory, processes, management practices, budgeting, and office operations., • Proven ability to leverage IT solutions to resolve business challenges. Personal Attributes • Exceptional leadership capabilities., • Strong verbal and written communication skills, alongside effective interpersonal abilities., • Capacity to conduct comprehensive research into IT issues and solutions., • Adept at articulating concepts in business-friendly and user-centric terms., • Highly self-motivated, organized, and detail-oriented., • Proficient in prioritizing and executing tasks in a high-pressure setting., • Rich experience in working within a collaborative, team-oriented environment.

Job Description We're looking for a Full Stack Developer with AI development experience to join our growing team in New York City, NY. This role is ideal for a developer who thrives in a fast-paced, tech-forward environment and wants to build innovative tools using AI for automation, transcription, voice analytics, and more. You’ll work closely with other developers, product teams, and leadership to design and deploy intelligent solutions that drive real business value Requirements • Bachelor's degree in computer science, or a related field, • 2+ years of full-time software development experience, • Front-end: HTML, CSS, JavaScript, and other modern frameworks (e.g., React, Vue), • Back-end: Proficiency in the LAMP stack (Linux, Apache, MySQL, PHP), • AI Tools & APIs:, • OpenAI (GPT-5, GPT-4.1) prompt engineering and API integration, • Cursor AI, GitHub Copilot, or similar AI-assisted development tools, • Automation Tools:, • Experience with Zapier, Make (Integromat), or n8n, • Strong communication and team collaboration skills, • Master's degree in CS, AI, or related fields, • Background in legal tech, SaaS, or subscription e-commerce, • Experience with:, • Retell, Stripe, Twilio, Pusher, and third-party API integrations, • Google Analytics, Looker Studio, or BI/reporting tools, • Competitive Base Salary., • Individual performance bonuses., • Companywide bonuses - annual and milestone based., • Stock options., • Medical, dental and vision healthcare insurance, • Health oriented work environment including sit/stand electric desks/treadmills., • Subsidized continuing education with office hour flexibility, offsite training courses., • Open management structure encourages communication, feedback and promotions.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is looking for an experienced, highly motivated materials scientist to join its rapidly growing team. You will have ownership over the identification, selection, and development of materials and coatings throughout the stellarator. You will be part of a team evaluating materials for various environments and eventual selection and specification of materials for production. You will be responsible for developing and maturing various material processes including joining and coatings. You will work with industry and research partners to develop the next generation of materials and coatings for use in fusion systems. The Thea Energy team is comprised of driven and creative individuals passionate about solving complex problems.Key Responsibility Areas: • Have ownership of the selection and development of near-term and long-term materials compatible with the fusion environment, • Work with engineers and researchers to explore novel materials, material joining methods, including process validation, and inspection techniques, • Work with industry partners on developing materials at a scale sufficient to meet the production deadlines, • Investigate the effects of the fusion environment on components to estimate lifetime, failure modes, inspection interval, and repair/replacement options, • Work with industry partners to develop plasma facing coatings and novel material systems, • Track and report results and progress against program goals and milestones, • Communicate and collaborate with internal and external stakeholdersIdeal Experience & Skillsets:, • M.S. in Materials Science, Nuclear Engineering, or Physics (Ph.D. preferred), • Minimum of 10 years of relevant industry or research experience, • Deep expertise in plasma-facing components (PFCs), neutron irradiation damage, or high-heat-flux materials, • Demonstrated experience with material joining techniques for complex components (brazing, welding, diffusion bonding, spray coating), • Demonstrated experience with SEM and mechanical testing techniques for metallics, ceramics, and composites, • Experience analyzing material degradation in a high-radiation environment is highly desirable, • Familiarity with HTS tape architectures or insulation materials for superconducting magnets is a plus, • Familiarity with material modeling software and techniques, • Familiarity with relevant material testing standards (e.g., ASTM, ASME) is a plus, • Experience mentoring junior engineers and conducting design reviews., • Ability to manage external vendor relationships and supply chain timelines, • Experience owning systems or processes, • Comfortable working to aggressive deadlines, • Exceptional work ethic, • Ability to execute and flourish in a fast-paced, rapidly changing environment, • Strong team member with clear communication and collaboration skills, • Innate desire to learn, innovate, and critique ideas including one’s ownCompany Benefits:, • Salary range $135,000-$210,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job DescriptionPrincipal AI/ML Engineer – Contact Center Intelligence Location: New York, NY (Hybrid preferred; on-site collaboration required for key initiatives. Relocation support available for top candidates.) USC and Permanent Residents only Mandatory Experience = Contact Center Intelligence Mandatory Total years of experience = 13+ Years Job Summary We are hiring a Principal AI/ML Engineer to lead the hands-on design, development, and scaling of next-generation AI solutions for contact centers. This is a senior individual contributor role focused on building production-grade Generative AI and Agentic AI applications tightly integrated with contact center intelligence. With 15+ years of AI/ML experience (deep focus on NLP and conversational systems) and 2+ years delivering GenAI/Agentic AI in production, you will architect and deploy autonomous, tool-using, reasoning agents that manage complex customer journeys—independently or in collaboration with human agents. You will work across AWS, Azure, and Google Cloud to deliver scalable, secure, and compliant AI systems that measurably improve containment, CSAT, FCR, and operational efficiency. Key Responsibilities Agentic AI & Generative AI Engineering * Design, build, and deploy Agentic AI systems for contact centers, including: * Multi-agent orchestration * Reasoning and planning patterns (ReAct, Plan-and-Execute) * Tool calling (APIs, CRM systems, knowledge bases) * Memory management (short-term and long-term) * Self-correction and feedback loops * Integrate LLMs (GPT-series, Claude, Llama, Gemini, fine-tuned open models) into real-time contact center workflows for: * Response generation * Conversation summarization * Agent assist and coaching * Dynamic intent resolution * Personalized scripting and post-call analytics Contact Center Intelligence & NLP * Build advanced NLP-powered intelligence features, including: * Intent classification and routing * Entity extraction * Sentiment and emotion detection * Dialogue management * Multilingual support * Develop multimodal pipelines (voice + text) using ASR/TTS technologies (e.g., Whisper, Google Speech, Azure Cognitive Services) Cloud-Native AI Platforms * Deliver end-to-end solutions using major cloud ecosystems: * AWS: Bedrock, SageMaker, Amazon Connect, Lex/Q, Lambda * Azure: Azure OpenAI, AI Bot Service, Cognitive Services, Azure ML * Google Cloud: Vertex AI, Dialogflow CX, Contact Center AI Insights, Gemini models End-to-End AI Lifecycle Ownership * Own the full AI lifecycle: * Data preparation and feature engineering * Model selection, fine-tuning, and prompt engineering * RAG pipelines and vector search * Agent framework integration (LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Semantic Kernel) * Evaluation (human-in-the-loop, automated metrics) * MLOps (CI/CD, monitoring, drift detection, scaling) * Optimize AI systems to directly improve contact center KPIs, including automation rate, AHT reduction, FCR improvement, and proactive engagement Leadership, Governance & Collaboration * Collaborate with product, engineering, contact center operations, and compliance teams to translate business needs into production-ready AI capabilities * Mentor senior engineers, perform code and model reviews, and define best practices * Ensure responsible AI implementation, including bias mitigation, guardrails, explainability, and safety layers * Ensure compliance with GDPR, CCPA, TCPA, and voice interaction regulations * Stay ahead of emerging GenAI and Agentic AI trends; prototype innovations and contribute to internal thought leadership Required Qualifications * 15+ years of professional experience in AI/ML engineering * 10+ years specializing in NLP and conversational AI systems (chatbots, voice agents, IVR/NLU) * 2+ years of deep, hands-on production experience with Generative AI and Agentic AI * Proven expertise delivering Contact Center Intelligence on AWS, Azure, or Google Cloud * Strong proficiency in: * Python * PyTorch, TensorFlow, Hugging Face Transformers * Agentic frameworks (LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen) * RAG, embeddings, vector databases (Pinecone, Weaviate, etc.) * Voice AI pipelines (ASR, TTS, spoken dialogue systems) * Demonstrated impact improving contact center metrics (e.g., 30%+ containment lift, CSAT gains) * Experience with MLOps (MLflow, Kubeflow, SageMaker Pipelines) and cloud infrastructure (Docker, Kubernetes, serverless) * Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (PhD a plus) Preferred Qualifications * Experience with CCaaS platforms (Genesys, Five9, NICE CXone, Avaya) * CRM integrations (Salesforce, Dynamics 365) * Delivery of multi-modal, real-time agentic systems * Open-source contributions, publications, or patents in AI/NLP * Deep knowledge of ethical and responsible AI in regulated environments * Strong communication and stakeholder influence skills

Job DescriptionSamba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights. Reporting to the VP of Data Science, as the Senior Data Scientist on our Measurement Sciences team, you will design and operationalize robust measurement frameworks—leveraging causal inference, experiment design, and advanced machine learning—to deliver transparent, actionable insights on ad incrementality, audience targeting, and cross-platform attribution. You will provide thought leadership and help guide the transformation of how advertisers measure, attribute, and optimize TV campaigns across linear and streaming platforms.WHAT YOU'LL DO • Design and implement ad incrementality measurement methodologies (A/B tests, uplift modeling, synthetic controls, Bayesian causal models) for linear TV and Connected TV (CTV) campaigns, • Develop globally scalable audience segmentation and targeting models using our viewership data ecosystem via millions of connected TVs, • Build and validate multi-touch attribution frameworks that reconcile impressions, views, and conversions across linear, CTV, OTT, and digital channels, • Lead the full analytics lifecycle—from data ingestion/ETL (SQL, Spark, Python) through feature engineering, model development, evaluation, and production deployment, • Partner closely with data engineering and DevOps teams to operationalize models in our cloud platform and ensure data quality, security, and scalability, • Translate complex analytical findings into clear, concise presentations and dashboards for internal stakeholders and external clients, driving strategic decision-making., • Support sales and marketing teams with the development of strong positioning stories to highlight the value of our audience media and measurement opportunities, • Mentor junior data scientists and analytics engineers, fostering best practices in experimentation, code quality, and reproducibility WHO YOU ARE, • Have a Master’s or advanced degree in Statistics, Econometrics, Data Science, Computer Science, or related quantitative field, • 7-10 years of hands-on experience in advertising/marketing analytics, media measurement, or a closely related discipline, • Expert in causal inference techniques (RCT design, difference-in-differences, propensity scoring, synthetic control) and uplift modeling. Background in Bayesian statistics or hierarchical modeling for uncertainty quantification, • Have a proven track record building attribution and incrementality solutions for TV and cross-media campaigns, • Have advanced programming skills in Python and SQL; Familiarity with Spark or other distributed compute frameworks, • Have demonstrated leadership in mentoring small data science teams and managing end-to-end data science projects, • Able to visualize data in a way that makes it easy for others to understand, • Are detail-oriented, highly organized, and proactive, • Have strong verbal and written communication skills, with the ability to explain complex analyses to both technical and non-technical audiences, • Thrive in a dynamic, fast-paced Agile and global environment, and being a team player, • Experience with data platforms (Databricks, Sagemaker, BigQuery, etc.), data orchestration tools (Airflow, dbt) and CI/CD best practices a plus, • Bonus: Strong knowledge or experience working with TV viewership data sources (set-top box, return-path, panel, census-level) and measurement vendors (Samba TV, Nielsen, Comscore, etc.)

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking a seasoned leader to drive Data Science consulting engagements in the pharma and life sciences domain, with a strong focus on Agentic AI, Generative AI, and advanced analytics solutions. The role involves leading client discussions, designing AI-driven solutions, and guiding cross-functional teams in delivering end-to-end data science projects. Responsibilities: • Lead data science consulting engagements for pharma clients, ensuring business impact and value realization., • Architect and implement Agentic AI, GenAI, and advanced ML solutions tailored for pharma and healthcare use cases., • Build and scale RAG pipelines, conversational AI, and multi-agent systems to solve complex client challenges., • Partner with senior stakeholders to define data strategy, AI roadmaps, and transformation programs., • 10+ years of experience in Data Science/AI consulting, • Proven expertise in Agentic AI, GenAI, LLMs, and advanced machine learning., • Strong knowledge of pharma and life sciences domain, • Proficiency in Python, SQL, cloud platforms (Azure/GCP/AWS), and modern AI/ML frameworks., • Experience in building end-to-end AI solutions (data engineering, model development, deployment)., • Strong consulting, client management, and stakeholder engagement skills. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Quant Developer/Market Maker The Company - Our client is a small trading shop, whose founders have an extremely successful track records in all prior ventures in high Frequency trading. The core consists of small group of educated PhD scientists who came together to build trading models in multiple asset classes over the last decade. They were first challenged to finding non-random behavior in data sets as they tackled the FX market with new algorithmic trading and quickly separated themselves from everyone else in the market. That company was bought by a world leader in capital markets, and they moved into equities, and were successful as a prop trading shop for over 6 years, and was eventually bought as well. They are now onto their next venture they are looking to tackle the cryptocurrency market. As a trusted asset to every large financial trading desk through the years, institutions have expressed great interest in trading with them, and the firm provides crypto asset execution, trading, and advisory services to institutional clients, as well as making markets on various exchanges, as well as providing customized algorithms to split up trades. They are looking for a Quant Developer (Quant/Market maker) to join this team, and head up building the market making product. This person does not need crypto experience, but needs to understand the technical backbone of market making systems, market microstructure and the technical needs for setting up and monitoring strategies. All systems are built from scratch and brand new. The competitive advantage is the model and brilliant combination of quantitative minds. They build their systems to be smarter, highly risk averse, rigorously tested and with a strict scientific approach to modeling. The Role – Starting as an Senior Quant Developer/Market Maker you will get a chance to get in on the ground floor in a low key environment and let data drive your decisions. This opportunity is for a top notch engineer with strong quantitative skills, to take a pragmatic approach and enjoy the flexibility of building something, in an environment where there is no red tape, or barriers to your creativity. It is a great opportunity for a Quant who wants to leverage technical/math skills to learn more about, and get into trading. Ideas for strategies are encouraged, and team will help you test and implement them. This is an opportunity for you to work with elite minds as well as trade ideas, grow in knowledge and gain exponential earnings potential. The overall climate is for everyone to make money and go home satisfied. Flexible hours and telecommuting is offered. Qualifications ¬ Experience working with high performance trading systems, specifically market making systems. ¬ FX is preferred over equity, because it translates better to the crypto-market. ¬ Strong Java/C# Programming ¬ Ability to develop systematic models from a mathematical approach ¬ Strong Math/Quantitative Skills and experience with Large Data Sets ¬ Top Tier Education – Masters or PhD (Math, Science, Computer Science, Engineering, Computational Finance) Skills and abilities you will be finely rewarded, compensation greatly depends on experience, equity and salary will be based on value.

Job Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Data Engineer in our New York City office. About the Role: As a Senior Engineer on the Data Products team, you will expand Applecart's data-mining capabilities to uncover deeper and more impactful connections within decision-maker networks. In this role, you'll work on ETL pipelines, APIs, and algorithms within a service-oriented architecture, helping to drive the team's technical evolution. You'll be part of a colocated, hybrid-remote group of collaborative engineers focused on delivering business value continuously. Together, you will own and enhance integrations with external APIs, large-scale batch data processing pipelines, and network-building algorithms, while contributing to the design and development of a centralized data Lakehouse architecture. As a senior team member, you'll collaborate closely with Product and Technology leadership to shape the future direction of Applecart's technology. Who You Are: You are a veteran software developer specialized in large scale data engineering. You have a long track record delivering products and collaborating with Product managers. You help define and evangelize coding best practices and enjoy coaching less experienced team members. Experiences and Capabilities You Bring: • You have 6+ years of professional software development experience, • You have strong computer science fundamentals, • You have designed and implemented scalable data processing pipelines, • You have worked with all types of storage/persistence engines, and know their applications: relational databases, document databases, key/value stores, etc…, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You are familiar with Lakehouse architecture and open file format (e.g. Apache Iceberg, Apache Hudi, Delta, etc), • You are a SQL expert, • You have experience with distributed computing and know the strengths/weaknesses of different frameworks (should include Apache Spark), • You manage AWS resources using infrastructure-as-code Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000-$200,000, based on the candidate's experience and skills relative to the requirements above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description Senior Digital Forensic Analyst Contact Discovery Services - Washington, DC Location: Remote Start Date: Negotiable A leading eDiscovery technology and consulting firm headquartered in Washington, DC is looking for a qualified and experienced Senior Digital Forensic Analyst. We are seeking a motivated individual with a strong interest in the legal and technology fields, excellent organizational skills, and a passion for delivering top-notch service to our clients. This is a great opportunity to gain valuable experience in a fast-paced and dynamic industry. The ideal candidate is proactive with excellent communication skills, a problem solver, and consistently reliable. This position involves both domestic and international travel for on-site collection efforts. Additionally, this position offers a hybrid work arrangement, combining remote work with in-office presence at our primary office in Washington, DC, where our forensics lab and data center are located. DUTIES OF THE POSITION: • Independently perform complex forensic data collections and analysis in both on-site and remote capacity, • Ability to consult with and coordinate directly with legal teams/client IT departments to establish and define project scope and forensic workflows, • Maintain forensic tools and technologies by staying informed on version updates and new options in the market, • Work closely with project management and other team members on completing complex projects in a fast pace, deadline driven environment, • Contribute to the development, documentation, and enhancement of procedures to meet discovery process requirements., • Provide clients with accurate project estimates and identify areas for upselling to increase department revenue, • Assist leaderships’ vision through process improvement, innovation, leadership, and industry trends, • Consistently contribute and adhere to standard operating procedures (SOPs), ensuring they are regularly reviewed, updated, and followed., • Perform quality control checks on work product prior to delivering to the client, • Complete additional duties assigned by manager, • Provide guidance and training to junior forensic team members and other team members, • Minimum of an undergraduate degree, preferably in Digital Forensic Science or Computer Science/Engineering, • 6+ years of relevant experience in where the analyst understands the forensic lifecycle and can properly perform scoping activities, evidence acquisitions on a range of devices, and execute forensic analysis at an expert level, • Experience using industry standard forensic tools such as Axiom, EnCase, Cellebrite, FTK Imager, Digital Collector, • General understanding of Mac/Windows filesystems, mobile devices, and encryption, • Experience preserving desktops, laptops, mobile devices/tablets, servers, both cloud and on-premise email implementations, nontraditional cloud data sources, social media, etc. in a forensically sound manner, • Ability to communicate effectively and tactfully in both verbally and in written format to team members and technical/non-technical clients, • Ability to work extended hours when necessary to ensure client deadlines are met, • Must be willing to travel regularly on short notice; must have valid passport for occasional international travel, • Must be an energetic self-starter who can work within a team environment but also independently as the situation requires, • Ability to document forensic workflows based on sound industry practice, • Willingness to develop/train other team members to increase the group’s overall knowledge base as well as cultivate secondary resources to assist in larger collection events, • Understanding of the electronic discovery reference model (EDRM), • Ability to submit time entries on a regular basis to meet performance metrics, • Possess at least one industry standard certification (EnCE, CCE, CCFE, GCFE, GCFA, CCO, CCPA, CCME, etc.) and demonstrate a commitment to ongoing professional development and learning., • Extensive knowledge of litigation support applications (e.g. Relativity, Nuix, Google Workspace including Vault, Microsoft 365 including Purview, etc.), • Experience working with structured data exported from various platforms including analysis, custom scripting, and data manipulation to develop reports for client use ABOUT CONTACT: Contact Discovery Services delivers best-in-class service to many Fortune 100/500 companies. Our growth is driven by investing in people and technologies, ensuring our customers have access to the highest level of customer service and the most qualified resources. Our team members are comprised of talented engineers, analysts, and project managers from all walks of life. We concentrate on engineering “outside-the-box” solutions to help organize discovery so our clients can focus on developing case strategy and leaving the heavy lifting to us. Employees are encouraged to actively participate in the development of new ideas, technology, and processes to ensure our customers receive the highest level of service. We offer competitive benefits, work schedule flexibility, and coordinate various company activities throughout the year. If you are looking to be part of an exciting, fast-paced environment then we want to hear from you. Powered by JazzHR iNUuveaHMh

Job DescriptionSalary: Elixir Engineering Manager 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 and now have management experience, 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 team leader 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. Who we're looking for: BS (or higher) in Computer Science or a related technical field, or equivalent technical experience 10+ years of relevant work experience including leadership roles 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 • An exciting work environment operating at the forefront of AI technology development, • Competitive salary, • 401K, health/vision/wellness perks (including health insurance coverage option 100% free for the employee AND family and perks like ClassPass and CitiBike!), • Generous maternity and paternity leave, • Virtual team building events & awesome swag, • People-focused culture, adding-value and fun to our meetings, • Generous vacation time, family and travel-friendly environment, • Work alongside an enthusiastic, collegial, and driven team in a highly meritocratic environment, • The opportunity to work remotely, including workstation setup

Job Description Company Overview Mantra Health is an award-winning digital mental health provider on a mission to make evidence-based care more accessible to students. We partner with colleges and universities to offer comprehensive virtual mental health services, including therapy, psychiatry, 24/7 crisis care, emotional wellness coaching, and self-care content. Our technology solutions seamlessly integrate with campus health systems to enhance student well-being and improve graduation rates. Recognized as a leader in digital mental health, Mantra Health was named a Rising Star by the UCSF Digital Health Awards and won Juniper Research's Gold Star for Best Digital Therapeutic Solution. Today, our programs support over 900,000 students across 125+ campuses, including Penn State, MIT, and Miami Dade College. We've raised over $34M from leading investors and we're looking for ambitious, talented, action-oriented individuals to join us in shaping the future of student mental healthcare. Opportunity for Impact Mantra Health is seeking a Senior Data Scientist to help advance Beacon, an intelligence platform designed to improve student well-being, success, and retention. This role sits at the intersection of product, engineering, and strategy—turning complex data into clear, actionable insights that help institutions understand not just what is happening, but what to do next. This is a highly visible, senior individual-contributor role with meaningful ownership and executive exposure. The right candidate brings strong analytical judgment, excellent communication skills, and the ability to translate data into compelling narratives that demonstrate real-world impact and ROI while continuously enhancing Beacon capabilities. What You'll Do • Build Data Products for Population Insights: Design and deliver data products that translate complex data into clear, actionable insights for Care Teams and partnering schools. Focus on population-level insights that support early identification, prioritization, and effective response to student needs., • Develop the Data Platform Across the Care Lifecycle: Build and evolve data infrastructure that supports the full lifecycle—from identifying student needs, to recommending pathways for support, to escalation and follow-up. Partner with engineering to ensure insights are delivered reliably, securely, and at scale., • Validate Impact with Product and Clinical Partners: Work closely with Product and Clinical teams to define success metrics and validate the efficacy of insights, interventions, and workflows. Ensure analytics align with clinical realities, ethical standards, and real-world care delivery., • Adaptable and Pragmatic: You are comfortable navigating ambiguity and evolving priorities. You adapt your approach as new information emerges and focus on practical solutions that balance rigor with speed., • Strong Analytical Judgment: You bring a solid foundation in statistics and applied analytics, with the ability to choose appropriate methods for the problem at hand. You understand concepts such as confidence intervals, bias, and tradeoffs, and apply them thoughtfully in real-world contexts., • Product-Oriented Data Scientist: You have experience working on analytics that directly influence product direction or business decisions. You understand how to define meaningful metrics, evaluate impact, and connect insights to outcomes., • Technically Proficient: You are proficient in Python and SQL and comfortable working with modern data stacks, pipelines, and large datasets. You value clean, well-documented, reproducible work and collaborate effectively with analytics and engineering partners., • Clear Communicator: You can explain complex analytical concepts to non-technical audiences and focus on the "so what." You tell compelling stories with data that resonate with executives, partners, and cross-functional teams., • Professional Experience: 4+ years of experience in data science, analytics, or a related field, including delivering analytics, models, or data products used in production environments., • Domain Experience: Experience working in healthcare, education, fintech, or other regulated or data-sensitive industries. Familiarity with healthcare or education data is a strong plus and will help you ramp more quickly., • Applied Product Analytics: Demonstrated experience applying data science in a product-driven context. You have worked on initiatives that directly informed product direction or business decisions, rather than purely exploratory or academic work., • Technical Proficiency: Strong proficiency in Python and SQL for data analysis. Comfortable working with large datasets, writing complex queries, and using Python-based libraries to clean, analyze, and interpret data., • Statistical Judgment: Solid grounding in statistical analysis and experimental thinking. You can design and evaluate analyses with appropriate rigor and clearly interpret results, balancing precision with practical decision-making., • Communication Skills: Proven ability to communicate insights and analytical concepts to diverse audiences. You can produce clear visualizations or presentations and explain the "so what" to inform decisions at multiple levels of the organization., • Cross-Functional Collaboration: A team-oriented mindset with experience working closely with Product, Engineering, Design, or Clinical partners to deliver shared outcomes., • AI & LLM Experience: Experience applying natural language processing techniques or working with large language models, even in experimental or early production contexts., • Production Analytics or ML Exposure: Experience supporting analytics or machine-learning systems in production, including validation, monitoring, or iteration over time., • Data Visualization & BI Tools: Familiarity with tools such as Looker, Tableau, or similar platforms for communicating trends and insights prior to full productization., • Impactful Opportunity: Your work will directly influence how institutions understand and support student mental health. The insights you deliver can guide real decisions that help students access care sooner and more effectively., • Professional Growth: This is a high-ownership role within a strategic product area. You'll deepen your analytical and technical skills while expanding your product thinking and business impact through close collaboration with senior leaders., • Collaborative Culture: At Mantra, we value empathy, inclusion, and intellectual curiosity. You'll join a mission-driven team that collaborates closely and supports continuous learning., • Career Advancement: As Mantra continues to grow, this role offers opportunities to expand scope and influence over time. We invest in our team's long-term success and support individuals as they take on increasing responsibility. Compensation & Benefits Compensation: $150,000 - $200,000 Pay range may vary by location and is commensurate with experience and market rates. At Mantra, our distributed team is our secret sauce that allows us to support our mission everyday. We're collaborative, empathetic, and curious. We take time to celebrate our wins and learn from our mistakes. Each full-time employee at Mantra enjoys: • Stock Options, • Medical, vision, and dental coverage for employees, spouses, and dependents, • 401(k), • Flexible work location, • Generous PTO, sick days, jury duty days, and bereavement. Three week sabbatical and $3,000 stipend after five years of continuous full-time employment, • Inclusive parental leave, equal for all parents, • $1,000 new-parent mental wellness benefit, • Commuter card, if you commute, • Access to One Medical, • Healthcare & Dependent Care FSA Join us in shaping the future of student mental healthcare through data! If you're excited by the opportunity to build life-changing technology and have the skills and passion to match, we'd love to meet you. Apply today to help us transform mental health support for the next generation. Note: This role is open to candidates based in the United States. We are a remote-friendly team (with a slight preference for New York-based candidates for occasional in-person collaboration). Mantra Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job DescriptionAbout Pryon: We’re a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we’re building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting-edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed. The Federal Solutions Manager position at Pryon offers a unique opportunity to leverage cutting-edge AI technology to address and solve the critical organizational challenges of both prospective and existing customers within the Federal sector. This role is instrumental in engaging with executive and leadership levels within US Government agencies and understanding their key challenges and goals. The ideal candidate will be able to think creatively on how to apply NLP, AI and ML techniques to knowledge management use cases, and will feel comfortable distilling and presenting technical solutions to both business and technical audiences. Successful candidates must possess strong structured thinking, communication skills, technical knowledge (ideally in the AI/ML/NLP space), as well as proven abilities to work jointly with software engineers, data scientists, and other subject matter experts.In This Role, You Will: • Develop compliant solutions for federal clients, adhering to regulations and security standards, ensuring seamless integration, • Forge strategic relationships with business and technology leaders within US Government agencies to uncover high-impact use cases for the Pryon Platform, • Define the benefits of implementing the Pryon Platform to address specific business challenges faced by federal customers, • Influence product development and strategy through direct customer interactions and feedback, ensuring alignment with federal requirements and priorities, • Partner closely with Pryon's sales leadership to develop and implement effective account strategies targeted at the federal sector, • Collaborate with Product Marketing, Engineering, and R&D teams to create market-relevant case studies and technical materials that resonate with federal customersWhat You'll Need to Be Successful:, • Required: Government-issued clearance (Secret; TS/SCI preferred), • Experience in programming (ideally Python or JavaScript) with a focus on NLP, ML, AI, and data science, • Knowledge of cloud-based architectures, particularly those compliant with federal security and data protection standards, • In-depth knowledge of the Federal Acquisition Regulation (FAR), Other Transaction Authority (OTA), Authority to Operate (ATO) requirements, and proficiency in navigating government contracting procedures, • Insight into the competitive landscape in NLP and knowledge management platforms, especially within the context of federal applications, • Strong public speaking skills and the ability to engage effectively with senior stakeholders in the government sector, • Advanced degree in Business Administration, Computer Science, Data Science, Engineering, or Statistics is highly advantageous, • Bachelor’s degree in a STEM field from an accredited university, • At least 4 years of professional experience, including 2 years in a role with significant exposure to management consulting, AI/ML, NLP, knowledge management, or cloud technologies, • Entrepreneurial spirit, with a proven ability to thrive in a fast-paced, dynamic environment, • Exceptional teamwork capabilities, with a knack for coordinating efforts across diverse functional teams, • Experience or deep interest in working with AI/ML, NLP, knowledge management, or cloud computing technologies

Job DescriptionAbout the Company e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it’s a daily routine that nourishes your skin barrier over time. In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 27 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. Visit our Career Page to learn more about our team: Position Summary We are seeking a highly skilled Senior Information Security Engineer to lead enterprise-wide cybersecurity initiatives and strengthen our security posture across on-premises and cloud environments. This role involves designing and implementing advanced security solutions, including Zero Trust, DLP, Cloud Security, Network Segmentation, IAM, and Security Automation. The ideal candidate will collaborate with cross-functional teams to identify risks, develop mitigation strategies, ensure regulatory compliance, and proactively defend against evolving threats while safeguarding our systems, data, and infrastructure. Must Have- Strong Technical Security Foundation & ArchitectureDeep knowledge of network, cloud, and endpoint security.Hands-on experience with firewalls, SIEM tools (e.g., Splunk, Sentinel), EDR/XDR, IAM, and vulnerability management.Understanding of encryption, authentication, and secure architecture design. • Incident Response & Threat Management SkillsAbility to detect, analyze, and respond to security incidents effectively.Skilled in log analysis, threat hunting, and forensics.Familiarity with MITRE ATT&CK, common attack techniques, and SOC operations., • Risk Assessment & CommunicationStrong ability to assess vulnerabilities, prioritize risks, and implement mitigations.Can translate technical findings into business impact and communicate clearly with both technical and non-technical teams.Understanding of security frameworks and compliance standards (NIST, ISO 27001, CIS).Responsibilities: • Design, build, deploy, and maintain enterprise security technologies and solutions aligned with business objectives, compliance requirements, and the cybersecurity program., • Develop, document, and enforce security policies, standards, and procedures based on frameworks such as NIST, CIS, ISO 27001, and SOX while advancing overall security maturity, governance, and processes., • Lead strategic security initiatives, including Zero Trust architecture, Data Loss Prevention (DLP), Cloud Security, Network Segmentation, IAM, Endpoint Security modernization, and security automation., • Manage and improve email security, DNS security, and other protective controls to defend against phishing, malware, data exfiltration, and domain-based threats., • Lead vulnerability management programs and drive remediation efforts, providing visibility into risks and progress to stakeholders., • Oversee incident response lifecycle—detection, analysis, containment, remediation, post-incident review—and continuously enhance disaster recovery and business continuity plans., • Monitor and analyze security events and network activity (e.g., traffic analysis, host behavior, forensics, kill chain, Windows event analysis), tuning tools, and event correlation for accurate threat detection., • Collaborate with IT, DevOps, and digital teams to embed security into system design, application development, deployment pipelines, and cloud infrastructure., • Evaluate and review vendor and partner security practices to ensure alignment with organizational standards., • Produce regular security dashboards and metrics to report on incidents, threats, and operational effectiveness., • Lead security awareness training, mentor junior engineers, and guide cross-functional teams on secure design principles and best practices., • Stay current on emerging threats, vulnerabilities, and technologies to enhance enterprise resilience.Requirements:, • Bachelor’s degree in Computer Science, Cybersecurity, or related field; Master’s preferred., • 7+ years of experience in information security engineering, architecture, or operations., • Expertise in cloud security (AWS, Azure, GCP), data protection, IAM/SSO/MFA, email and DNS security, and secure network architecture., • Hands-on experience with key security technologies: firewalls, VPN, NAC, EDR/MDR, IPS/IDS, SIEM, DLP, vulnerability management, and email security platforms (Proofpoint, Mimecast, Microsoft 365 Defender)., • Strong understanding of Zero Trust, endpoint protection, DevSecOps, security automation, and scripting (Python, PowerShell, Bash)., • Proven ability to lead incident response, risk assessments, threat detection, and remediation efforts., • Experience implementing DNS protection solutions (Cisco Umbrella, Cloudflare, Infoblox, Valimail)., • Knowledge of security frameworks and compliance standards: NIST CSF, CIS Controls, ISO 27001, SOX., • Demonstrated success in leading security awareness programs, mentoring team members, and advancing security program maturity., • Relevant certifications preferred: CISSP, CISM, CISA, GIAC, Microsoft Security certifications, AWS Security Specialty, Azure Security Engineer Associate.

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 Forward Deployed AI Engineers work directly with customers owning Gen AI strategy and implementation. On a daily basis, you will build end-to-end workflows, take them to production, and solve real world problems at the largest scale. You will have ample opportunity to contribute learnings from the field back to the Palantir AIP product suite. You will be on the forefront of extending Palantir's existing footprint and strategy into new markets and problem spaces opened up by Gen AI. Core Responsibilities Forward Deployed AI Engineers’ responsibilities look similar to those of a hands-on AI startup CTO: you’ll work in small teams to own delivery of high stakes projects with clients. A day’s work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations. Do you aspire to be an entrepreneur or an Applied AI leader? We believe Palantir is the best place — with the best colleagues — to learn how!What We Value • Engineering mindset, focused on delivering production solutions with Gen AI, data processing pipelines, and advanced analytics tools., • Solving real business problems, not academic benchmarks., • Ability to collaborate efficiently in teams of technical and non-technical individuals., • Comfort working in a dynamic environment with evolving objectives and direct iteration with users.What We Require, • Past experience building solutions with LLMs and a deep understanding of overall Gen AI landscape., • Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition)., • Strong engineering background. Preferred fields include but are not limited to Computer Science, Mathematics, Software Engineering, Physics, and Machine Learning., • Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest is seeking a Senior Manager with Rights Management expertise with a focus on the financial aspects of rights management (budgeting, forecasting, ultimates, royalties, participations, revenue recognition, etc) who will help us grow our Rights practice. We are looking for an organized & self-motivated leader who will guide teams to deliver exceptional quality & build strong relationships internally & externally along the way leading to exceptional client retention and new opportunities.What you'll do • Practice Development, • Support the IP & Rights Management practice on a strategic level, including revenue targets, a resource plan, and go to market strategies, • Establish and own relevant and key vendor relationships, • Sales, • Learn and get very comfortable with business development with the support of more senior and seasoned leaders in the Rights Practice, • Consistently identify potential opportunities by learning how to leverage your delivery experience to solve problems for our clients, • Lead the proposal process and/or help to grow an existing account/projects to meet relevant targets, • Independently develop sales proposal strategies and proposals, • Represent Qvest.US in the sales process as an expert with depth of knowledge in IP & Rights Management, • Methodology & Expertise, • Ability to quickly learn Qvest.US methodologies and templates, • Develop new methodologies, templates, and accelerators as needed to support Qvest.US effectiveness, consistency and relevancy in the Rights practice, • Project Delivery, • Demonstrate leadership in project delivery, sometimes over multiple projects, • Understand, develop and articulate complex business challenges into actionable plans, • Be a trustworthy leader to make the best decision for the project, team and client, • Independently deliver complex engagements with multiple resources and/or projects, • Manage executive relationships at project or account levelWhat you'll bring, • 10+ years Project Management and/or leadership experience – including experience with a large consulting company, • At least 4-6 years managing process/organization/strategy/SDLC/Implementation-based projects, • Subject matter expertise in content IP/Rights, especially in the Media & Entertainment and CPG space, • Rights management experience in content acquisition / production management, publishing / distribution, and licensing with a focus on the financial aspects of rights management (budgeting, forecasting, ultimates, royalties, participations, revenue recognition, etc), • Interest in and experience contributing to business development, • At least two Rights Management system implementations (e.g., Rightsline, RSG, Mediamorph, FilmTrack, Vistex), • Bachelor's degree in engineering, information systems, computer science, business administration, or other related fields, • Experience managing teams through client-facing activities such as requirements gathering, stakeholder workshops, and deliverable review/approval sessions, • Demonstrated aptitude building and managing to project plans and reporting status to clients and internal teams, • Agile or Scrum experiencePreferred Experience

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest US is seeking an experienced Senior Consultant in Rights Management to join our growing IP & Rights Management Consulting practice. In this role, you will help lead projects that optimize our clients' Rights Management systems, and help lead other technology and business consulting projects. We are looking for an organized and ambitious team member who will excel in a fast-paced environment, and who is passionate about content IP & Rights Management.What you'll do • Help guide project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Conduct initial reviews of deliverables and give feedback, • Proactively identify risks and issues, and provide mitigation strategies, • Lead various client meetings such as stakeholder interviews and client workshops, • Build and maintain strong client relationships, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat you'll bring, • 3-5+ years System Implementation, SDLC, Integration, and Project Management experience, • 3+ years in consulting / professional services, big firm experience preferred, or Project Management experience at a non-consulting organization, • Subject matter expertise in content IP/Rights, especially in the Media & Entertainment space, • Familiarity with an SDLC methodology that covers requirements analysis, development, and delivery, • Experience with presentation and spreadsheet tools, such as PowerPoint, Excel, and Visio, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related fields, • Some experience in the following Rights Management areas:, • Rights management system implementation (e.g., Rightsline, RSG, Mediamorph, FilmTrack, Vistex), • Rights management in content acquisition / production management, publishing / distribution, and licensing, • Rights management experience with participations and/or residualsPreferred Experience, • 1+ year of experience in Media & Entertainment/Broadcast and/or Consumer Products industries

Job Description Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Market Data Engineer to design and build ultra-low-latency feed handlers for premier vendor feeds and major exchange multicast feeds. This is a high-impact role that sits at the heart of Trexquant's trading platform; the quality, speed, and reliability of your code directly influence every strategy we run. Responsibilities • Design & implement high-performance feed handlers in modern C++ for equities, futures, and options across global venues (e.g., NYSE, CME, Refinitiv RTS, Bloomberg B-PIPE)., • Optimize for micro- and nanosecond latency using lock-free data structures, cache-friendly memory layouts, and kernel-bypass networking where appropriate., • Build reusable libraries for message decoding, normalization, and publication to internal buses shared by research, simulation, and live trading systems., • Collaborate with cross-functional teams to tune TCP/UDP multicast stacks, kernel parameters, and NIC settings for deterministic performance., • Provide robust failover, gap-recovery, and replay mechanisms to guarantee data integrity under packet loss or venue outages., • Instrument code paths with precision timestamping and performance metrics; drive continuous latency regression testing and capacity planning., • Partner closely with quantitative researchers to understand downstream data requirements and to fine-tune delivery formats for both simulation and live trading., • BS/MS/PhD in Computer Science, Electrical Engineering, or related field., • 3+ years of professional C++ (14,17,20) development experience focused on low-latency, high-throughput systems., • Proven track record building or maintaining real-time market-data feeds (e.g., Refinitiv RTS/TREP, Bloomberg B-PIPE, OPRA, CME MDP, ITCH)., • Strong grasp of concurrency, lock-free algorithms, memory-model semantics, and compiler optimizations., • Familiarity with serialization formats (FAST, SBE, Protocol Buffers) and time-series databases or in-memory caches., • Comfort with scripting in Python for prototyping, testing, and ops automation., • Excellent problem-solving skills, ownership mindset, and ability to thrive in a fast-paced trading environment., • Competitive salary, plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets., • PPO Health, dental and vision insurance premiums fully covered for you and your dependents., • Pre-Tax Commuter Benefits Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary range is $175,000 - $200,000 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always-available, and ready to take action. Power better support, sales and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene helped build Angi (Angie’s List, HomeAdvisor and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! ABOUT THE ROLE: We believe that ten years from now, 90% of businesses interactions with their customers will be handled by autonomous AI Agents. This role is at the forefront of defining those AI Agents that all of us will speak to. The AI Agent Product Specialist role starts with two weeks of intensive training where you will learn to build AI Agents using the Regal AI Agent Platform. Get up to speed on our prompting best practices, function building, and the Regal Operating System. From then on, you’re writing the script. We view this role as a jumping off point for entry-level talent looking to start their careers in the exploding field of AI. After 1-2 years in this role, you will be prepared to take on more senior roles at Regal in engineering, product management or customer success. AI Product Specialists at Regal own the creation and refinement of voice prompts, and conversation flows of AI Agents. You’ll blend prompt engineering techniques with user-focused product sense to deliver natural, brand-aligned interactions that meet business objectives. You’ll become an expert at the different settings/toggles/techniques that STT providers, TTS providers and LLMs expose to tune the performance of AI Agents. And with new use cases, you’ll pioneer new prompt engineering techniques, build new functions and deliver product feedback to the Regal product and engineering teams on new feature sets to enhance AI Agent performance. Finally, you’ll own Quality Control and testing of AI Agents to ensure they meet quality standards.RESPONSIBILITIES: • Understand customer requirements: Work with AI Forward Deployed engineers to understand customer use cases, requirements for AI agents and their business objectives. Review customer’s existing human agent call recordings, scripts, training documents, FAQs/knowledge bases and brand guidelines to inform their AI Agent., • Shape Conversational Experiences: Build AI Agents on the Regal AI Agent Platform leveraging prompt engineering and conversational flows; tune AI agent settings (STT, LLM, TTS) to achieve the conversational quality that is Regal’s signature and that meets customer’s requirements and business objectives., • Build Custom Functions/Tooling: Understand the limitations of LLMs and where code is needed to achieve certain use cases/performance. Use your coding chops to build custom functions that allow your AI Agents to take actions such as validate zip code, schedule callback, update profile., • QA Test: Develop test cases and thoroughly test your AI Agents to ensure they pass Regal and the customer’s quality bar. Develop tooling, where needed, to scale QA testing and deliverables to build customers’ confidence in AI Agents so they don’t have to put QA hours against it, • Iterate & Learn: Review agent performance in partnership with AI Forward Deployed Engineer who owns the client relationship. Iterate the AI Agent based on customer success criteria, • Codify Best Practices: Leverage, share, and document best practices for building AI Agents and achieving certain use cases. Participate in prompt engineering forums and research best practices to add to our own techniques. Document what we’ve learned in a digestible way for internal and external consumption, • Deliver Product Feedback: Work closely with Regal PMs and Engineers to give feedback on the Regal AI Agent Platform. As the primary user of the product, you’ll spot issues, product gaps, and new capabilities that will help you deliver better performing AI Agents faster – help inform these features!, • Support Sales Demos: Work with the sales team to build AI Agent MVPs during the sales process to demo agent capabilities to prospectsABOUT YOU:, • Technical Chops: You’ve received a Bachelor’s or Master’s degree in a technical field (i.e. Computer Science, Engineering, Data Science) or have equivalent experience with prompt engineering., • Professional Work Experience: You have 1-2 year(s) of work or internship experience at start-up tech companies, or impressive personal/school projects that you can provide documentation for., • Demonstrated Curiosity for AI & Voice: You’re excited about the potential of Voice AI, and keep up with the latest products in the space. You’ve experimented with conversational design or prompt engineering for a school, work or personal project., • Analytical Thinking & Problem Solving: You see beyond the immediate ask, being able to break down problems into their component parts and tackle them iteratively. The ideal candidate likes to tinker and try new approaches, borrowing ideas from others and building from their own previous experiences, • Time Management Skills: You know how to prioritize among competing tasks (or ask for help when needed), manage deadlines, and proactively keep your team & other stakeholders in the loop., • Relentless Ownership: You own accountability for the success of your work, making smart trade-offs, iterating quickly, and doing whatever it takes to ship on time. “Not my problem” isn’t in your vocabulary., • Entrepreneurial DNA: You’re considering being a founder one day. You thrive in fast-paced, ambiguous environments and absorb everything. Adaptability and growth mindset are qualities that help you navigate change and complexity with ease. AI Product Specialist vs. AI Forward Deployed Engineer - What's the Difference?, • The AI Product Specialist is more internal-facing, part of a centralized team using the Regal AI Agent Platform to build and test AI agents, codifying best practices and processes for AI Agent development and QA testing, and giving feedback to our product and engineering teams on how the platform needs to evolve (as well as building demos for the sales and marketing teams and working on internal projects). AI Product Specialists have a technical degree, but only 0-2 years of previous experience., • The AI Forward Deployed Engineer is more customer-facing, owning the launch and overall success of each AI Agent deployment and customer relationship, ensuring AI Agents can successfully integrate into the customer’s existing systems and workflows and achieve their business goals (as well as growing revenue by identifying more use cases and opportunities for AI Agents). AI Forward Deployed Engineers have 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementation Consultant) or have PM experience in a tech environment.BENEFITS/PERKS:, • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation

Job Description At TWG Global 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: We are seeking an Executive Director, Software & AI Engineering to serve as a hands-on technical leader and enterprise architect across TWG Global’s AI and software initiatives. This role is responsible for threading architecture, engineering execution, and technical decision-making across multiple concurrent projects, acting as a senior individual contributor and people leader who ensures systems are designed to scale, delivered to completion, and aligned to business outcomes. Key Responsibilities: • Lead architecture and hands-on engineering across multiple TWG Global AI and software initiatives, making critical decisions on system design, technology selection, and integration across complex environments., • Serve as a senior technical owner across projects, providing oversight and guidance while directly contributing to core engineering work in high-impact areas, including AI-driven workflows, digital employee systems, and complex data platforms., • Hands-on technical experience as a senior software engineer and architect, with demonstrated success designing, building, and finishing complex systems across multiple technology stacks in production environments., • Hands-on expertise with modern cloud platforms and data ecosystems, including Azure-based architectures, enterprise analytics platforms (for example, Palantir), and core backend technologies such as Java, PostgreSQL, Redis, and distributed systems., • Strong architectural judgment and technical maturity, with the ability to make high-stakes decisions around system design, scalability, performance, and long-term maintainability across multiple concurrent projects., • Experience managing and mentoring small, highly skilled engineering teams, while remaining a deeply technical individual contributor., • Demonstrated ability to operate in high-pressure, deadline-driven environments across multiple industries, including client-facing or consulting-style engagements where execution speed and delivery quality are critical., • Record of successfully orchestrating and integrating multiple technology stacks and vendors into cohesive, production-ready platforms that support complex workflows and AI-driven decision-making., • Strong communication skills with the ability to translate complex technical concepts to senior business leaders and non-technical stakeholders, influencing outcomes and driving alignment across the organization., • Experience evaluating, selecting, and integrating emerging technologies, with a practical, execution-focused mindset that prioritizes shipping durable solutions over experimentation without delivery. Position Location: This position can be based in Santa Monica, CA; New York, NY; or remotely for an exceptional candidate. Compensation: The base pay for this position is $350,000 - $400,000. A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and other benefits. TWG is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job DescriptionWhy You Should Join the E3 TeamWhen you join the E3 team, you will be working on some of the most important energy issues with some of the top minds in the electricity industry. We help shape energy and climate policy, play vital roles in regulatory proceedings, advise executives, and inform investment and planning selections. At E3, you will be challenged and inspired. Who We AreFounded in 1989, Energy + Environmental Economics (E3) is a fast-growing energy consulting firm that helps utilities, regulators, policy makers, developers, and investors make the most educated strategic decisions possible as they implement new public policies, deploy and develop new technologies, and address customers’ shifting expectations. We have offices in San Francisco, New York City, Boston, Denver, and Calgary. Because E3 works with customers from all sectors of the electricity industry, we provide a 360-degree knowledge of markets, planning, policy, regulation, and environmental factors. Just as important, we are driven to deliver clear, unbiased evaluations that help customers make informed decisions. E3 works on high-profile, high-impact projects in jurisdictions that spearhead the implementation of clean energy policy. In California, Hawaii, and New York, we are advising state agencies and regulators about how to implement clean energy policies with an emphasis on customer incentives and markets. About YouWe look for people who combine strong analytical dexterity and/or policy experience with integrity and a passion for energy. Our Managing Consultants take the reins on project work to drive creative solutions to some of the most elaborate and important energy issues of the day. You bring curiosity, thrive in a rigorous and quantitative solution-finding environment, take a collaborative approach to project work, are comfortable coaching and providing feedback to others, and are practiced at working closely with clients and stakeholders. We seek those that are inquisitive and look at all sides of an issue to make informed recommendations with confidence and clarity. You pride yourself in your technical aptitude and deep subject matter expertise related to at least one our general practice areas. You bring a strong attention to detail and your project management and leadership techniques help you independently create and actualize work plans that are efficient while delivering an elevated level of guidance to serve our customers. Practice AreaWe are highly collaborative, but everyone is encouraged to pursue their own practice areas of interest. At E3, our broadly defined Practice Areas include: - Climate Pathways and Electrification- Asset Valuation, Transmission, and Markets- Integrated System Planning About the Role· Hours: Full Time · Travel: 0-10% · Office Location: Hybrid work schedule from San Francisco, Boston, New York, Denver, Calgary. Remote work may also be considered Work EnvironmentE3 has adopted a hybrid and flexible work environment that adapts to changing needs of projects and safety requirements. Because E3 thrives in a strong collaborative office-based working environment, we encourage our E3 employees to work from the office at least 2-3 days per week, usually including Tuesdays and Thursdays. Must be able to work for extended hours in front of a computer screen and conduct meetings on the telephone and virtually. The Role The Managing Consultant is a vital contributor to our team and project work. The position spearheads client-facing interactions and plays a leadership role in identifying the approach and methods for medium-to-large projects. Our Managing Consultants direct workstreams within projects and contribute heavily to written reports and papers. Our Managing Consultants regularly deliver findings and summaries to customers, making presentations and replying to questions. Duties will grow to include more elaborate investigative tasks, overseeing the management of existing tools, and leading efforts on proposal writing. Responsibilities • Lead the delivery of customer work through modeling, developing presentations, writing, and preparing entire subsections of reports and papers, and owning customer requests, • Conduct independent research using your ingenuity and curiosity to make reasonable assumptions and produce appropriate solutions, at times with incomplete information, • Fulfill end-to-end project obligations, • Deliver presentations to customers and reply to questions, • Develop aptitude in using a flagship modeling tool, gathering relevant data, and vetting results, • Oversee or assist in management of existing tools as needed, • Oversee or implement major revisions to toolkits, • Apply core QA/QC best practices, • Lead proposal writing on small/medium projects, • Translate results of research and evaluations into clear visual representations, • Head the creation or editing of spreadsheets to be "client-ready,” including developing tools for customer solutions, • Proactively track actual performance of own work performed against the established plan, with ongoing communication with the Director or Manager, • Track and manage actual performance of project teams against the established plan, with ongoing communication to project team members, • Capture project learnings and repeatable products and work samples for future use according to knowledge management processes, • Assist with internal initiatives as needed Requirements, • Master’s degree or PhD in engineering, economics, computer science, public policy, or related field, • 4-8 years of experience in an energy-related field with a specific focus on the power electric sector, • Prior experience specifically addressing power generation, renewable energy, project economics, and the clean energy transition, • Demonstrated hands-on experience or extensive knowledge in, or related to our practice areas, • Extensive project management experience leading collaborative project efforts while helping each member of your team to do their finest work, • Experience crafting a clear and compelling message both in writing and via presentations, • Demonstrated experience working directly with stakeholders or customers, • Aptitude to write and communicate clearly, • Passionate about the transition to a low-carbon economy, • Demonstrated success guiding ideas, people, and projects, • High fluency in Microsoft Excel and PowerPoint; quantitative modeling methods and/or programming knowledge and experience are also valued, • Experience with electricity or energy modeling platforms preferred, examples include AURORA, PLEXOS, ReEDS, LEAP, NEMS., • Desire to work in a dynamic office environment with other staffThings that Set you Apart, • Deep subject matter expertise specifically in energy, power systems, and climate change issues, • Significant project management and leadership experience in a technical or analytical environment, • Extensive experience coordinating with customers on a regular basis, • You believe it is essential to achieve a transition to a low-carbon economy and love thinking about the future of energy, • You work collaboratively and help each member of your team to do their finest work, aware that each brings different experiences, techniques, and qualifications to the table, • You enjoy translating technical concepts to a broader audience