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Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Remote Position Summary: OurScalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity.In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyondmaintaininginfrastructure,you'llarchitect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure-from application logs and metrics to distributed traces.You'llbuild production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, andoptimizetheir systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. Position Responsibilities: In this role,you'llown the observability infrastructure that powers our engineering organization. You will: • Architect observability platform: Design, implement, andmaintainthe LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience., • Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities., • Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost., • Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis., • Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics., • Balance cloud-native and open-source: Architect solutions that thoughtfullyleverageboth AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack,Quickwit) tooptimizefor cost, performance, and operational flexibility based on use case requirements., • Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure., • Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly., • Partner with engineering teams: Work directly with product teams to integrate observability into their services,establishlogging and metrics standards, and instrument code effectively, serving as the observability subject matter expert., • Enable performance optimization: Provide the observability foundation that allows the Scalability team toidentifyperformance bottlenecks, track optimization impact, and measure platform stability with data-driven insights., • Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices., • Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices., • Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning., • Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients., • 10+ years of software engineering or infrastructure engineering experience withdemonstratedprogression into technical leadership roles., • Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure., • Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services., • LGTM stackexpertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale., • AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns., • SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena,DuckDB, or similar query engines for analyzing structured and semi-structured data at scale., • Cloud-native and open-source balance:Demonstratedability to architect solutionsleveragingboth managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in., • Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines., • Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics)., • Systems thinking: Deep understanding of distributed systems,microservicesarchitectures, and the complex observability challenges they present., • Data at scale: Proventrack recordhandling high-volume structured and unstructured logging data,identifyingpatterns, and building efficient search/query solutions that perform well under load., • Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go., • Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources., • Additionalobservability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms., • Advanced query languages: DeepexpertisewithPromQL,LogQL, SQL optimization, and query optimization for high-cardinality data., • Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3., • Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements., • Cost optimization: Track record of reducing observability costs whilemaintainingor improving capabilities (e.g., CloudWatch S3/custom indexing migration)., • Data pipelines:Experience withstreaming data pipelines, ETL processes, or real-time data processing., • Distributed tracing: Deep knowledge ofOpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures., • Gitexpertiseand experience working in a mono repository., • PreviousPharmacy Benefits Manager (PBM) or healthcare technology experience. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Salary Range$160,000—$220,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Job Title: Business Intelligence Engineer Location: Jersey City NJ Contract Job summary: This is Associate BI Engineer role in Corporate Services Technology. This is a hands-on role where candidate will work closely with team leads and will have opportunities to learn different domain and skills under their mentorship. Key responsibilities • Application development and testing, building data integrations between systems, troubleshooting issues, and collaborating with cross‑functional teams to ensure high‑quality technical delivery, • Hands-on Experience in designing reports/dashboards using Power BI., • Hands-on experience in creating data models in Power BI., • Design, develop, and maintain scalable applications and data pipelines using Python, • Troubleshoot, debug, and enhance existing applications and dashboards, • Experience with Git/GitHub., • Assist in database migrations, upgrades, and patching., • Support month end and quarter end processes, • Document process workflows, data flow diagrams Required Qualifications: • 5+ years of industry experience, • Proficiency in Power BI, including dashboard creation, DAX, and data visualization best practices, • Strong hands-on experience with Python (e.g., pandas, NumPy, APIs, scripting), • Experience working with relational databases (e.g., SQL Server, PostgreSQL, MySQL) and in SQL (writing queries, joins, aggregations, stored procedures), • Strong problem-solving and analytical skills Preferred Qualifications Experience working in the finance industry.

Legal Process Engineer Cooley is seeking a Legal Process Engineer to join the Practice Engineering team. Position summary: As the leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence and all members of the department are expected to move this agenda forward. To that end, under the direction of the Associate Director, Legal Practice Engineering, the Legal Process Engineer will play a critical role at the intersection of legal domain expertise, process engineer, and digital product development, working directly with the firm's practitioners across offices and practice areas to uncover, analyze, and re-design legal workflows. The Legal Process Engineer is deeply engaged with all products and platforms that create, consume, or analyze legal work products and legal information. By collaborating directly with practitioners, technical teams, and innovation stakeholders, the process engineer ensures that every solution, from document drafting tools to analytics platforms, effectively leverages document automation, AI, and data integrations. This role partners across multiple domains including Knowledge Management, Software Engineering, and Product Development, bringing strong legal process insight, user-centered design thinking, and visual storytelling to help shape the next generation of digital tools. The process engineer is the strategic translator between legal practitioners, innovation stakeholders, and technical teams, translating legal process insight into strategic, actionable guidance that informs product direction across the entire lifecycle. Position responsibilities: • Lead workflow discovery efforts in direct partnership with practice groups and Knowledge Management attorneys, capturing end-to-end legal workstreams across corporate, regulatory, and transactional domains, including those that impact external stakeholders such as clients and their directors, officers, and investors, • Identify and map the flow of data through documents and organizations, carefully investigating and understanding the role of different personas as authors and consumers. This includes tracing how information moves through each step, clarifying document ownership and use, and visually representing the legal process logic for both internal and client-facing solutions, • Analyze and reimagine legal workflows to identify opportunities for digitization, automation, AI integration, and alignment with Cooley's existing or emerging product platforms, • Translate legal process insights into early-stage solution concepts, informing roadmap planning, prototype development, and MVP scoping, • Create workflow diagrams, process maps, journey maps, and wireframes to visually communicate how legal work is done and where digital transformation adds value using tools like Miro, Lucidchart, and Figma, • Support AI and automation incubation projects by documenting requirements, mapping logic, and facilitating handoff to product development and software engineering teams for production readiness., • Provide legal domain expertise across the full product lifecycle, in collaboration with UX designers, engineers, and business analysts, • Partner with product managers during planning, feature definition, and prioritization-ensuring legal nuance and workflow complexity are well-represented and strategically considered, • Contribute domain-specific context and nuances to user stories, acceptance criteria, and iterative refinement within Agile/Lean frameworks, • Contribute to user testing, solution validation, and stakeholder feedback loops to ensure solutions remain grounded in legal practice and user needs., • Maintain a working knowledge of Cooley's digital platform portfolio to identify integration points and avoid redundant tool development, • Stay current on legal tech trends, process innovation methods, AI/ML applications in law, and practice-specific technologies, • Present complex workflows and product concepts through visual storytelling and design thinking approaches to legal and technical audiences, • Ensures alignment with departmental standards, best practices, and governance in the development, delivery, and support of legal technology and product solutions, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Willingness to work extended and /or weekend hours, as needed, • 4+ years of experience in legal process design, practice innovation, legal tech, or legal process engineering roles. Senior level candidates considered with 5+ years' experience with proven ability to operate at an elevated level in terms of scope of responsibility, judgement and autonomy., • Deep understanding of legal practice workflows and professional experience working directly with legal practitioners (attorneys, paralegals, Knowledge Management), • Proven ability to lead discovery sessions, map and re-engineer legal processes, and design actionable solution paths, • Familiarity with product development methodologies (Agile, Lean, etc.) and experience working alongside product managers, UX designers, and software engineers, • High proficiency in workflow visualization and storytelling tools (e.g., Miro, Figma, Lucidchart), • Strong storytelling and presentation skills, with the ability to communicate complex legal and technical concepts to diverse audiences, • Experience supporting AI, automation, or digital tool initiatives within legal or professional services environments Preferred: • Bachelor's degree, • Juris Doctorate (or equivalent) degree, • Experience as a product manager or in cross-functional product teams, certifications in Product Management, Business Analysis, or Design Thinking, • Awareness of data strategy concepts and legal AI concepts, • Experience working in a legal services environment, preferably in an AMLAW 200 law firm or in-house legal department with greater than 50 attorneys Competencies: • Ability to take initiative, synthesize complexity, and work independently with cross-functional stakeholders, • Demonstrates initiative and ownership in managing responsibilities, priorities, and deliverables, while proactively aligning work with Practice Engineering's strategic objectives and standards, • Ability to connect legal process insight with long-term business and technology goals; thinks proactively across the full product lifecycle, • Applies empathy and design thinking to problem-solving, discovery, and solution design-ensuring attorney, client, and internal stakeholder needs are represented throughout the process, • Demonstrates sharp analytical skills and meticulous attention to detail to accurately interpret complex legal workflows and product requirements, • Ability to approach every interaction with professionalism, responsiveness, and a strong customer-service mindset, committed to excellence in delivery, • Communicates clearly, visually and verbally, with audiences at all levels. Balances attention to detail with strategic clarity, • Ability to build strong, respectful working relationships across disciplines. Acts as a connector between legal and technical teams, fostering trust through collaboration, clarity, and follow-through, • Thrives in a fast-paced, evolving environment. Navigates ambiguity and shifting priorities with resilience and embraces feedback for continuous improvement Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $103,000 - $150,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

The Lead Analytics Engineer (L3) is responsible for driving analytics engineering initiatives and delivering high-quality data models that enable data-driven decision making across the organization. This role requires deep technical expertise in analytics engineering, strong independent execution capabilities, and exceptional cross-functional collaboration skills. The Lead Analytics Engineer will report to the Senior Manager of Analytics Engineering and serve as a key technical contributor and partner to business stakeholders, data analysts, and engineering teams. • Designing, developing, and maintaining scalable data models and transformations using dbt and SQL to support analytics and reporting needs., • Independently owning end-to-end analytics projects from requirements gathering through deployment and documentation., • Partnering closely with business stakeholders, data analysts, and product teams to understand analytical requirements and translate them into robust data solutions., • Building and optimizing semantic layers, metrics frameworks, and reusable data models that serve as the foundation for self-service analytics., • Establishing and enforcing analytics engineering best practices including testing, version control, code reviews, and documentation standards., • Collaborating with data engineers to ensure efficient data pipeline integration and with BI teams to enable effective reporting and visualization., • Proactively identifying data quality issues, implementing data tests, and monitoring model performance to ensure reliability., • Communicating technical concepts effectively to both technical and non-technical audiences, including presenting solutions and trade-offs to stakeholders., • Contributing to the analytics engineering roadmap by identifying opportunities for process improvements and technical innovations., • Mentoring junior analytics engineers and analysts on SQL, dbt, and analytics engineering principles., • Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Data Analytics) or equivalent experience., • 5+ years of experience in analytics engineering, data analytics, or related roles with increasing technical responsibility., • Expert-level SQL skills with deep understanding of data modeling, dimensional modeling, and database optimization techniques., • Strong hands-on experience with dbt including macros, packages, testing frameworks, and deployment workflows., • Proven ability to work independently, manage multiple priorities, and deliver high-quality results with minimal supervision., • Exceptional cross-functional collaboration skills with demonstrated success partnering with business stakeholders to solve complex problems., • Strong communication skills with the ability to translate business requirements into technical specifications and explain technical solutions to diverse audiences., • Experience with data warehousing platforms (Snowflake, BigQuery, Redshift) and version control systems (Git)., • Understanding of data pipeline concepts, orchestration tools, and the broader data ecosystem., • Self-motivated learner with a track record of staying current with analytics engineering best practices and emerging technologies., • Ability to balance technical excellence with business impact, making pragmatic trade-offs when necessary. Proven ability to work collaboratively with cross-functional teams and translate business requirements into technical solutions. Chobani is a food maker with a mission of making high-quality and nutritious food accessible to more people, while elevating our communities and making the world a healthier place. In short: making good food for all. In support of this mission, Chobani is a purpose-driven, people-first, food-and-wellness-focused company, and has been since its founding in 2005 byHamdi Ulukaya, an immigrant to the U.S. The Company manufactures yogurt, oat milk, and creamers - Chobani yogurt is America's No.1 yogurt brand, made with natural ingredients without artificial preservatives. Following the 2023 acquisition of La Colombe, a leading coffee roaster with a shared commitment to quality, craftmanship and impact, the Company began selling cold-pressed espresso and lattes on tap at cafes nationwide, as well as Ready to Drink (RTD) coffee beverages at retail. In 2025, Chobani acquired Daily Harvest, a modern brand offering consumers nutritious, delicious and convenient ready-to-make meals. Chobani uses food as a force for good in the world - putting humanity first in everything it does. The company's philanthropic efforts prioritize giving back to its communities and beyond. Chobani manufactures its products inNew York,Idaho,MichiganandAustralia, and its products are available throughoutNorth Americaand distributed inAustraliaand other select markets. For more information, please visit___ or follow us on Facebook, Twitter, Instagram and LinkedIn. Chobani is an equal opportunity employer. Chobani will not discriminate against any applicant for employment on any basis including, but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, military and/or veteran status, marital status, predisposing genetic characteristics and genetic information, or any other classification protected by federal, state, and local laws. The salary range for this full-time position is $105,500.00 - $196,500.00, + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Chobani provides a comprehensive benefits package, including medical, dental, vision coverage, disability insurance, health savings account, flexible spending accounts, and tuition reimbursement. To help save for the future, all employees are eligible for a 401k match of 100% on up to 5% of eligible pay. To support growing families, we provide fertility and childcare assistance, and 12 weeks of parental leave at full pay after six months of continuous employment. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, a wellness reimbursement, on-site gym access (certain locations) and a monthly wellness newsletter to connect you with resources and timely information. We offer various types of paid time of including: 120 hours of paid time off, 11 holidays, and paid volunteer time off.

Job Description About Amigo Amigo builds AI agents that deliver healthcare autonomously—AI doctors, AI nurses, and AI care coordinators. Our agents handle clinical workflows and patient engagement across the entire patient journey: pre-visit intake, triage, care navigation, post-visit care plans, side effect management, and medication adherence. Context-aware with memory across sessions and the ability to take clinical action. We own outcomes, not just delivery. For our customers, we're responsible for agent performance: clinical safety, continuous improvement, measurable patient outcomes. Agents operate autonomously within bounded clinical domains, with clear scope and handoff protocols. That scope expands as we validate performance across populations. We're fresh off our Series A from Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. Our work is validated with leading academic medical institutions. We're currently reaching 1M+ patient interactions every 90 days, and are on track to 10x this year. About this role As a Senior Full-Stack Engineer at Amigo, you'll build the foundational applications that power clinical operations. Three products: Control Center for real-time oversight of agent conversations, Research Platform for natural language queries over healthcare data, and Agent Forge for designing agent behavior without code. You'll own significant features end-to-end—from database schema to API to UI—across systems that handle sensitive patient data at scale. These applications are how clinical teams, researchers, and customers interact with our platform daily. High standards for correctness and reliability are expected. What you'll do * Build and ship features across Control Center, Research Platform, and Agent Forge * Design and implement real-time interfaces for clinical oversight—streaming conversations, escalation workflows, audit trails * Create natural language query interfaces over healthcare data with appropriate certainty and feasibility indicators * Build no-code tools that enable non-engineers to design and configure agent behaviors * Implement responsive, accessible UIs that work across desktop and mobile for clinical users * Design APIs and data models that support real-time streaming, voice, and multi-channel communication * Build authentication, authorization, and audit logging for healthcare compliance * Optimize performance for applications handling high-volume clinical data * Collaborate with agent engineers, clinicians, and customers to understand workflow requirements * Contribute to shared component libraries and design system What we're looking for * 4+ years of production full-stack engineering experience at high-caliber teams * Strong React/TypeScript skills with modern patterns (hooks, server components, state management) * Experience building Python backend services and REST APIs * Deep understanding of real-time systems (WebSockets, streaming, event-driven architectures) * Experience with relational databases, data modeling, and query optimization * Track record of owning features end-to-end from design through deployment * High standards for code quality, testing, and system reliability * Both execution-oriented and defensive-minded: you ship fast while anticipating failure modes * Strong product instincts—can translate user needs into elegant technical solutions * Experience working in fast-moving environments with evolving requirements * Clear communication across engineering and non-technical stakeholders Nice to have * Experience with healthcare applications or regulated industries * Background with voice/telephony systems or real-time communication * Experience building no-code/low-code tools or configuration interfaces * Familiarity with data visualization and analytics dashboards * Understanding of accessibility requirements for clinical software * Experience with mobile development (React Native, iOS, Android) Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth * Daily catered lunch and dinner Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Development setup of your choice * Academic collaboration opportunities Compensation Range: $180K - $220K

Job Description Position Description A client of AlphaStaffHCM is seeking a Senior Software Engineer to lead frontend development initiatives across both our core product suite and digital customer experiences. This role requires a versatile engineer capable of building management consoles for our cloud and on-premise quantum devices while simultaneously delivering high-impact, interactive visualizations for market engagement. You will collaborate with backend engineers to integrate microservices for the core hardware control platform, while also working with UI/UX and Product teams to develop web-based demonstrations of our technology to a global audience. Responsibilities Product UI Engineering ● Develop a unified Next.js, React, and TypeScript codebase that functions as the central management interface for user access, system administration, and system auditing, which will be deployed in both cloud environments and on-premise hardware appliances. ● Integrate distributed backend microservices via RESTful APIs to visualize real-time hardware telemetry, job scheduling, and system status. ● Implement high-performance client-side data visualizations to visualize complex quantum phenomena. ● Manage runtime configuration strategies to ensure the application connects to the correct service endpoints regardless of the deployment environment. ● Implement Role-Based Access Control (RBAC) logic in the UI to enforce permissions and view-level security across complex application suites. Digital Experience & Interactive Applications ● Engineer interactive, web-based simulations that enable prospective customers to engage with quantum computing concepts in a browser environment. ● Implement advanced visualizations using Framer Motion, GSAP, Three.js or similar to represent complex physics logic intuitively. ● Maintain and optimize corporate web properties, ensuring compliance with Core Web Vitals, SEO standards, and mobile responsiveness. ● Oversee the technical integration of Content Management Systems to facilitate content updates by non-technical stakeholders. Required Qualifications ● 5+ years of professional experience in software engineering with a focus on frontend development. ● Strong knowledge of web security best practices, including the OWASP Top 10 (specifically XSS and CSRF mitigation), and experience implementing secure authentication flows (OAuth2/OIDC) and session management. ● Demonstrated ability to implement high-fidelity UI/UX designs with precision, strictly adhering to design specifications. ● Deep understanding of modern CSS layout models (Grid/Flexbox) and browser rendering engines. ● Experience integrating frontend applications with complex backend architectures, RESTful APIs, and microservices. ● Experience working with Content Management Systems or Headless CMS architectures (e.g., Next.js, Gatsby, Contentful). ● Knowledge of best practices for CI/CD. Preferred Qualifications ● Experience with WebGL, Three.js, D3.js, or similar for scientific data visualization. ● Knowledge of containerization workflows (Docker) for deploying frontend assets in on-premise environments. ● Familiarity with marketing technology stacks, including analytics implementation, A/B testing, and SEO best practices. Skills React, TypeScript, Next.js, CSS3, SCSS, Framer Motion, GSAP, REST APIs, Headless CMS, SEO, Responsive Design, Docker, CI/CD, OWASP, OAuth2

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake., • Own and guide the development of our data infrastructure., • Orchestrate complex data workflows using Dagster., • Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work., • Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods., • Bachelor's degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience, • 7+ years experience in engineering, with at least 5 years of experience in a data engineering role, • Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries, • High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations, • Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus, • Experience with data exploration, profiling, governance, visualization, and activation, • Proven ability to thrive in an ambiguous and rapidly changing environment, • Experience working with sensitive data in a regulated environment, • Expertise in healthcare and/or revenue cycle management is a plus, • You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionContractRemoteRole DescriptionAs a remote, hourly paid R Engineer, you will review AI-generated responses and generate high-quality R and data-analysis-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in statistical methodology or data-wrangling workflows; fact-check analytical results; write expert-level explanations and model solutions that demonstrate correct use of R; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with, a fast-growing AI Data Services company and subsidiary of that provides AI training data for many of the worlds largest AI companies and foundation model labs, directly helping to improve the worlds premier AI models.Your Profile • 2+ years of hands-on experience using R for data analysis, statistics, or data science work., • Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages., • Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R., • Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization., • Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task., • Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar., • Minimum Bachelors degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field., • Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R., • Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts., • Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.Key Responsibilities, • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects., • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance., • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Job DescriptionTagup is a defense technology company founded at MIT that is redefining logistics superiority with next-generation AI. We’re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world’s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow. As a Full-Stack Engineer, you’ll own features end-to-end—turning user needs into intuitive React interfaces, well-designed APIs, and reliable data models. You’ll work closely with product, design, and data partners to scope, iterate, and ship quickly, balancing speed with maintainability and security. Your work will be measured by the outcomes you deliver for users in high-stakes, real-world environments.What you’ll do • Own features across the stack—from React UI to APIs, data models, and pipelines that feed AI-driven capabilities., • Build intuitive, performant web experiences; translate wireframes into accessible, production-ready interfaces that handle large datasets., • Design, implement, and operate APIs and database schemas; write clean, well-tested Python and SQL, including high-performance queries., • Ship reliable software with unit/integration tests, CI, and thoughtful code reviews; uphold cross-browser compatibility and front-end performance best practices., • Deploy and run services with containers/orchestration (Kubernetes) and IaC (Terraform) on AWS; contribute to ETL jobs and data integrations., • Partner closely with product, design, and data teams to iterate quickly and deliver measurable outcomes for users.Required skills, • 3+ years building production web applications across front-end and back-end., • Fluency in Python and SQL; experience designing and shipping REST APIs., • Strong React fundamentals (state management, async patterns, component design) and modern JavaScript/TypeScript (ES6+)., • Clear, pragmatic communication of trade-offs; habit of writing clean, maintainable, well-tested code.Bonus Points, • AWS and Terraform; Kubernetes operations., • Data visualization (e.g., D3, Vega)., • Robust integration and front-end testing practices. 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 DescriptionDescription: Hybrid Every other week onsite/5 days in Jersey City, NJ The organization seeks a Front End Engineer to build and modernize Angular applications that support financial professionals with dashboards and trade management capabilities. The role will design clean, scalable solutions, migrate AngularJS to modern Angular, and deliver micro front ends within a mono-repo. The engineer will collaborate with UX to translate design systems into reusable components and will integrate with REST APIs and real-time data. The environment is fast paced and expects senior-level autonomy to set up applications from scratch and deliver maintainable outcomes. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $70.00 to $75.00/hr. w2 Responsibilities: • Design, develop, and maintain Angular front-end applications and components., • Migrate legacy AngularJS features to modern Angular with a structured upgrade plan., • Build micro front ends within a mono-repo and manage shared libraries., • Translate Figma or equivalent designs into accessible, responsive, reusable components., • Integrate with REST APIs and real-time data sources such as websockets., • Implement data visualization using libraries including AgGrid and Highcharts., • Ensure code quality, performance, and reliability through standards and CI/CD., • Collaborate with product, UX, and engineering peers to deliver features on schedule., • Coach and mentor associates and contribute to development standards., • 6 to 9 years of hands-on front-end engineering with modern JavaScript frameworks, especially Angular., • Proficiency with Angular, TypeScript, Node.js, HTML, CSS/CSS3, SCSS, and JavaScript., • Experience with micro front ends, mono-repo concepts, and shared library management., • Integration experience with REST APIs and real-time data via sockets., • Experience with AgGrid, Highcharts, Bootstrap, moment.js, and NPM., • Comfort with VS Code and Git-based workflows., • Experience with Jira and CI/CD tooling such as Jenkins, CircleCI, or GitHub Actions., • Ability to convert Figma or equivalent designs into functional components using a design system., • Knowledge of NX Workspaces or other mono-repo frameworks., • Understanding of web components and component architecture., • Strong critical thinking, collaboration, communication, and influencing skills., • Ability to deliver scalable, maintainable solutions in a fast-paced environment., • Demonstrated capability to coach, mentor, and develop peers., • AWS Cloud experience (preferred). 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 DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake., • Own and guide the development of our data infrastructure., • Orchestrate complex data workflows using Dagster., • Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work., • Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods., • Bachelor's degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience, • 7+ years experience in engineering, with at least 5 years of experience in a data engineering role, • Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries, • High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations, • Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus, • Experience with data exploration, profiling, governance, visualization, and activation, • Proven ability to thrive in an ambiguous and rapidly changing environment, • Experience working with sensitive data in a regulated environment, • Expertise in healthcare and/or revenue cycle management is a plus, • You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionWho we areQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who we’re seeking As a Senior Broadcast Design Engineer at Qvest, you’ll take the lead in designing and deploying advanced media and broadcast systems for clients in the Broadcast industry. You’ll turn complex requirements into scalable solutions while managing system architecture, documentation, and integration across on-prem, cloud, and hybrid environments. In this role, you’ll collaborate closely with cross-functional teams and clients, configure and commission subsystems, and provide training and technical support. Your expertise in media workflows, broadcast technology, networking, and project execution will be key to delivering high-performance systems from concept to completion.What you'll do • Lead complex broadcast and media infrastructure projects by collaborating with clients and internal teams to define system requirements, budgets, timelines, and project goals, • Design and implement comprehensive media technology solutions—including new facility builds and existing facility upgrades to the latest broadcast technologies., • Create and manage detailed design documentation, including system schematics, functional descriptions, rack elevations, wiring diagrams, BOMs, and as-built drawings in alignment with engineering standards, • Oversee the configuration, testing, and commissioning of broadcast and IT subsystems (e.g., SAN/NAS/cloud storage, compute, network infrastructure) to ensure high performance, reliability, and scalability, • Serve as a technical expert and escalation point, negotiating changes to deliverables and guiding clients through scope clarifications and system optimization decisions, • Work closely with cross-functional teams to ensure seamless execution, accurate reporting, and successful delivery of broadcast solutions, • Support build-phase activities, coordinate with architects, MEP and construction resources to support the build out of facilities, • Provide regular project status updates, track engineering tasks, and contribute to resource planning across multiple concurrent projects, • Continuously expand technical expertise through industry certifications, vendor training, and self-guided learning, • Mentor junior engineersWhat you’ll bring, • 12+ years of experience in leading M&E technical systems in client-facing roles such as pre-sales engineering, consulting, or managed services, • Experience at a large broadcasting media company and/or broadcast systems integrator acting as an Engineer In-charge, Lead Engineer or Design Engineer, • Deep knowledge of industry-standard video formats (HD, UHD, HDR) and IP-based video transport methods, including SDI, NDI and SMPTE 2110 standards, • Broad range of product knowledge and hands on experience with products spanning networking, routing , switching, PCR, Studio, MCR, Audio, Shading, CER, Ingest etc., • Hands-on experience with products from vendors like Cisco, Evertz, Arista, Ross, Imagine GVG, EVS, VizRT, Harmonic, Chyron, Crispin, Telestream etc., • Solid understanding of end-to-end media production workflows, including ingest, editing, finishing, delivery, and archiving processes, • Hands-on experience designing and integrating professional broadcast and AV technologies, • Deep knowledge of broadcast networking principles, Spine/Leaf, Monolithic, Hybrid, and design including functions including routing, switching, VLANs, QoS, DNS, and access control lists (ACLs), • Strong familiarity with broadcast industry tools, systems, and infrastructure commonly used in media and entertainment environments, • Clear grasp of media engineering project phases—from presales and planning through design, documentation, integration, and commissioning, • Ability to read and interpret architectural and construction drawings and specs, with a general understanding of the construction process, • Organized approach to data handling, with some experience in data visualization, dashboard creation, or integration diagramming, • Familiarity with virtualization technologies and cloud-based compute and storage solutions, • Proven ability to see engineering projects through from concept to completion, • Excellent problem-solving and technical troubleshooting capabilities, • Understanding of broadcast orchestration platforms and resource management tools, • Strong working knowledge of Windows, Mac, and Linux workstations and serversPreferred, • Experience in various operational workflows (Live Production, Studio Production, News, Playout, Distribution, OTT, VOD), • Understanding of Next Gen ATSC 3.0 transmission standard

Job Description Who We Are At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. The Role: As a Full Stack Engineer at Moxxi, you will play a key role in building and scaling our performance marketing platform from backend APIs and data services to intuitive, data-rich front-end experiences. You will collaborate closely with product, design, and business stakeholders to create tools that help Ad operators manage, optimize, and personalize campaigns in real time. This is a front-end leaning full-stack role where you will own features end-to-end, contribute to technical strategy, and help shape the evolution of Moxxi's ad delivery and optimization systems. If you thrive in fast-moving environments, love solving complex technical problems, and want to see your code drive measurable business impact, this is the role for you. Responsibilities: • Design, build, and maintain data-rich, low-latency, performant web applications using TypeScript, React, and Next.js., • Develop reusable, responsive UI components and design systems that scale across Moxxi's performance marketing tools and dashboards., • Collaborate with product and design teams to translate complex workflows into intuitive, elegant interfaces., • Build and maintain backend APIs and services (primarily in Go) that support front-end features and integrations., • Work closely with backend and data engineers to deliver campaign analytics, reporting, and personalization features., • Implement robust testing, monitoring, and performance optimization practices for frontend and API layers., • Contribute to architecture discussions, technical design, and system scalability planning., • Ensure code quality, maintainability, and accessibility across all user-facing surfaces., • Mentor and support junior engineers through code reviews and pair programming., • Collaborate cross-functionally with product, design, and operations teams to deliver impactful, user-centered solutions., • Stay current with trends in frontend frameworks, cloud-native systems, and AdTech innovation, bringing fresh ideas into Moxxi's platform.Basic Qualifications:, • 6–10 years of professional software engineering experience, including 4+ years building production-grade frontends., • Strong fluency in TypeScript, React, and modern frameworks like Next.js., • Solid backend experience with Go (Golang), Node.js, or Python, and familiarity with RESTful or GraphQL APIs., • Strong understanding of state management, component architecture, and API design., • Experience integrating with cloud-native environments (GCP preferred) and containerized deployments (Docker, Kubernetes)., • Knowledge of SQL/NoSQL databases and basic data pipeline concepts., • Excellent product sense and ability to translate business needs into clean, maintainable solutions.Nice to Have / Bonus Qualifications:, • Experience in AdTech, MarTech, or marketing analytics platforms., • Background in data visualization or interactive analytics using tools like D3.js or Recharts., • Familiarity with AI/ML-driven personalization, A/B testing frameworks, or campaign experimentation systems., • Experience building and maintaining design systems or component libraries., • Familiarity with performance optimization techniques (lazy loading, bundle analysis, caching).Moxxi Values & Competencies:, • Self-Starter – You take initiative and solve problems before they become problems., • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works., • Efficiency-Oriented – Fast, focused, and action-driven., • Relationship-Focused – You build trust and deliver value., • Organized Multitasker – You thrive in fast-paced, high-velocity environments., • Strategic Communicator – You translate performance into insight and insight into action. Salary Range$150,000—$180,000 USD

Job DescriptionCareer Renew is recruiting for one of its clients a Frontend Engineer - Crypto - this is a fully onsite position in NYC or San Francisco. Salary range: 185-250K USD yearly.What we're building: Multi Asset Margin for Hyperliquid. Giving users the ability to post variable forms of collateral, instead of selling collateral for USDC and depositing to Hyperliquid. Multi asset margin comprises of over 86% of accounts in Crypto. What is Hyperliquid.xyz: Hyperliquid is the fastest growing crypto derivatives exchange which is a 20-30B a year revenue sector. Currently around 6% of global market share. Hyperliquid has annualised revenues of over $1B in USDC, at 99% net margin. How we're building it: Blockchain under the hood, users will post collateral on our systems and we'll extend USDC collateral on venues of their choice. We will bring the venues to the user, as opposed to the user having to go to other venues. Users will be able to post various forms of collateral and eventually be able to trade on Hyperliquid without needing to sell down collateral. Join our Product & Platform team to build and maintain the applications that power our services, collaborating with designers, backend engineers, and product managers to deliver responsive, high-performance user interfaces. What you'll do * -Design, build, and maintain full-featured websites and UI components optimized for both web and mobile. * -Collaborate closely with designers to translate wireframes into responsive, accessible experiences. * -Develop performant interactive charts and visualizations. * -Optimize performance, leveraging SSR and CDN delivery. * -Integrate with REST APIs, WebSockets, and manage client-side state and caching. * -Configure and maintain CI/CD pipelines for builds, previews, and rollbacks. What you bring * -3+ years building frontend applications. * -Expert proficiency in JavaScript/TypeScript and React. * -Strong CSS fundamentals (e.g. Flexbox, Grid, responsive/mobile-first design) and Tailwind CSS experience. * -Deep understanding of browser rendering and performance profiling (e.g. Lighthouse). * -Experience with testing frameworks (e.g. Jest, Mocha) and writing maintainable test suites. * -Familiarity with modern data-visualization libraries (e.g. Chart.js, D3) and handling real-time data streams. * -Authorized to work in the United States. Compensation & Package * $185-250k annual salary. * -Company equity. * -Medical, dental, and vision insurance with HSA options. * -Paid vacation and holidays. * -Retirement plan with employer match.

Job DescriptionCareer Renew is recruiting for one of its clients a Mobile App Engineer - Crypto - this is an onsite role in NYC. Salary range: 185-300K USD yearly plus benefits. As a Mobile Engineer, you will be part of building the next generation mobile trading app for the future of finance. This is a full featured trading experience, not a simplified pocket app. Features include live market data, complex order types, and multi venue execution on mobile. You will tackle challenges like maintaining synchronised real time price feeds, bringing the power of professional trading terminals to a mobile form factor, and building systems that perform under highly volatile market conditions. What You’ll Build & Solve * iOS App Development: Design features that stay responsive during market volatility and handle real-time data efficiently. * Trading Interface: Build gesture driven mobile UI that delivers the information density of professional trading terminals without overwhelming small screens, while preserving full functionality for power users. * Data Visualization: Develop high-performance, interactive charts and real-time visualizations that help users make informed trading decisions. * Wallet Integration: Build native integrations with mobile wallets and biometric authentication. Handle transaction signing and secure key management on-device. * System Architecture: Integrate complex REST APIs and WebSocket streams while managing robust client-side cached state. * DevOps & Quality: Configure and maintain CI/CD pipelines for automated builds, previews, testing, and seamless rollbacks. What You Bring * Production iOS Experience: 3+ years shipping iOS applications in Swift, ideally in fintech, trading, or real-time data environments. * Design Sensibility: Strong eye for UI/UX. Comfortable wireframing, prototyping, and making design decisions. Understand information hierarchy and gesture-driven interfaces. * App Store Experience: Shipped apps through the Apple App Store. Understand the full release cycle from provisioning to review to production. * Platform Knowledge: Deep understanding of iOS performance characteristics, memory management, and background processing. * Real-Time Systems: Experience building apps that handle live data streams. Know how to manage WebSocket connections, handle reconnection, and keep UI responsive. * Ownership Mindset: Comfortable making architectural decisions and leading feature development. * In-Person Collaborator: Thrive in high-bandwidth, in-person engineering environments. * Work Authorization: Must be authorized to work in the United States. Benefits & Perks * Top-Tier compensation * Ownership * Health & Wellness (Comprehensive medical, dental, and vision insurance with HSA options.) * Generous paid vacation and holidays * Retirement plan with employer match. * Culture (Flat, engineering-driven environment where the best idea wins.) Compensation & Package Base Salary + Equity Benefits & Perks * Top-Tier compensation * Ownership * Health & Wellness (Comprehensive medical, dental, and vision insurance with HSA options.) * Generous paid vacation and holidays * Retirement plan with employer match. * Culture (Flat, engineering-driven environment where the best idea wins.)

Job Description About Us: Versana is an industry-backed data and technology company on a mission to transform the syndicated loan market. By digitally capturing agent banks’ data on a real-time basis, Versana provides unprecedented transparency into loan-level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. About You: Versana is looking for a motivated mid-level Data Platform Engineer to join our team. This role is primarily focused on data engineering, with a secondary responsibility in reporting and dashboard delivery. Your mission is to transform operational (OLTP) data from multiple source systems into clean, analysis-ready (OLAP) datasets using our lakehouse medallion architecture. You will work closely with seasoned technology leaders, and colleagues with diverse experience in a dynamic, agile environment. You’ll mentor team members through code reviews, pairing, documentation, and knowledge-sharing practices. You’ll both share your engineering expertise with colleagues and learn from their deep domain knowledge. You’ll help standardize data transformations and testing, and drive CI/CD practices, all while improving performance, reliability, and observability. Key Responsibilities:Data Engineering (Primary): • Design, implement, and operate ELT pipelines to ingest data into the lakehouse., • Apply Medallion architecture and semantic layering to deliver curated datasets., • Build and maintain durable data lakes sourced from operational systems, including sustainable ingestion, schema evolution, storage formats, partitioning, and performance., • Secure data at rest and in transit by enforcing governance policies, including regular access reviews and auditability., • Establish and enforce standards for data quality, observability/alerting, and lineage; uphold daily/hourly SLAs for critical reports and datasets., • Drive CI/CD for data code reviews, documentation, and environment promotion; mentor and unblock teammates. Reporting & Analytics (Secondary): • Create and maintain tabular models and dataflows; optimize dataset refreshes, query performance, and usability., • Partner with Product to translate requirements into robust models, metrics, and dashboards; collaborate with Application Developers on data contracts and change management for upstream systems.• Support operational monitoring and alerting; ensure timely, trusted reporting for leadership and clients., • Triage and fulfill ad-hoc data requests while improving self-service patterns and documentation.Must Haves:• B.S. or B.A in Computer Science or related field., • 5–7 years in data engineering or analytics engineering., • Strong SQL and practical experience with dbt for transformations and testing., • Hands-on experience with data modeling and performance optimization., • Professional coding experience with both Java and Python., • Experience operating data ware/lake-houses and building semantic layers., • Familiarity with CI/CD (DataOps), version control, and environment promotion., • Data quality, observability, and alerting experience with a focus on SLAs and stakeholder trust., • Experience with external client reporting, embedded analytics, and multi-tenant considerations (modeling, partitioning, access controls)., • Demonstrated ability to mentor or coach in software engineering practices., • Effective communication and requirement gatheringNice to Haves:• Cost/performance tuning across data ware/lake-housing, query engines, BI tools; caching strategies and aggregation design., • Data documentation, lineage, and cataloging practices; strong habits around reproducibility and testing., • Apply report design and visualization best practices (effective layouts, clear metric definitions, consistent interactions, and performant SQL+DAX queries) to deliver executive\u0002ready dashboards.

Job Description [Position] Korean Bilingual Data Architect / Data Analyst [About Our Client] Our Client is seeking an Entry Level Data Architect / Data Engineer / Data Analyst to support data architecture design, data pipeline development, and analytical insights across the organization. This role is open to all majors, with preference for candidates from data-related disciplines. [Job Description] -Design, maintain, and improve data architecture, including data models, structures, and standards -Develop and manage data pipelines, ETL/ELT processes, and data integration workflows -Perform data analysis, reporting, and visualization to support business decision-making -Ensure data quality, consistency, and governance across systems -Collaborate with cross-functional teams to understand data requirements and deliver solutions -Support database management, performance optimization, and documentation -Contribute to improving data processes, automation, and overall data infrastructure Requirements -Open to all majors; preference for data-related disciplines (Data Science, Statistics, Computer Science, etc.) -Understanding of data concepts such as databases, data modeling, ETL, and analytics -Strong analytical and problem-solving skills -Ability to learn data tools, platforms, and technologies quickly -Experience with SQL, Python, BI tools, or data engineering frameworks is a plus -For senior roles: experience in data architecture, pipeline design, or large-scale data systems are highly valued • Must be authorized to work in U.S. Benefits Medical, Vision, Dental, Life 401K Vacation Sick leave

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About the team:StubHub Cloud & Infrastructure Security Engineering is seeking a senior engineer to enhance our security posture within the cloud and infrastructure domains. The perfect candidate will possess extensive experience in cloud security architecture, network security, and infrastructure automation, as well as a familiarity with container and operating system security. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA or Aliso Viejo, CA What You'll Do: • Develop secure Cloud Account Architectures, focusing primarily on AWS, while understanding and navigating the trade-offs of various cloud architectures., • Design and implement network security strategies that leverage security groups, NACLS, routing domains, and multi-tiered subnet architectures to ensure a defense-in-depth approach., • Manage critical security logging and monitoring infrastructure for cloud-native and third-party data sources, ensuring their efficient shipping to Data Lakes and integration with visualization platforms., • Operate and manage Cloud Security Posture Management (CSPM) and Cloud Workload Protection Platforms (CWPP), such as Wiz, Orca, Palo Alto Networks Prisma, and Rapid7 ICS., • Deploy configurations and infrastructure using Infrastructure as Code (IaC) frameworks, such as Terraform, Cloud Formation, and Pulumi., • Develop and implement governance strategies for infrastructure deployment that integrate security best practices and enhance developer productivity., • Architect and implement workload identity services, such as SPIRE (Spiffe), in a heterogeneous multi-cloud environment., • Architect and maintain PKI and secrets management platforms to ensure secure storage and access to sensitive information., • Expert level experience in AWS cloud account architecture., • Expert level knowledge in Network Security, including experience with AWS networking primitives: Security Groups, Network Access Control Lists (NACLS), Subnetting, Routing, and egress traffic filtering mechanisms., • Expert level proficiency in Identity & Access Management (IAM) Security, including experience with architecting AWS IAM roles & policy architectures for both human and machine access., • Expert level communication skills and the ability to work effectively across teams., • Expert level experience deploying and maintaining configurations and infrastructure using Terraform., • Expert level experience with modern CSPM and CWPP tools (e.g., Wiz, Orca, Prisma, or Rapid7)., • Intermediate level experience with Secrets / key Management Platforms (e.g., AWS KMS, AWS Secrets Manager, Hashicorp Vault)., • Expert level experience in building and implementing IaC governance strategies that combine security best practices while enabling developer productivity., • Intermediate level experience in architecting & managing Spire (Spiffe) and Service Mesh services., • Intermediate level proficiency in Python or Go, and Bash scripting., • Intermediate level experience in container & operating system hardening., • Intermediate level experience in building & maintaining Web Application Firewalls., • Intermediate level experience in architecting & implementing internal PKI & Secrets Management services., • Intermediate level knowledge of Kubernetes (K8s) Security foundations, including admission controllers, K8s Network Policies, K8s RBAC, and K8s Ingress architectures., • Intermediate level proficiency in DDoS mitigation techniques using AWS Shield, CDN traffic scrubbing, and origin protection mechanisms., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job DescriptionMobile App Engineer Location: New York (Office) On-site | Full-time Compensation: $185K - $300K Our client is developing a next-generation mobile trading platform designed to redefine the future of finance. Unlike simplified retail applications, this platform offers a full-featured trading experience, including live market data, complex order types, and multi-venue execution. The Mobile Engineer will be responsible for bringing the power of professional trading terminals to a mobile form factor. The role involves tackling sophisticated engineering challenges, such as maintaining synchronized real-time price feeds and ensuring system performance remains stable during periods of high market volatility. This position is ideal for a developer who excels in high-bandwidth, in-person collaborative environments and is passionate about building ambitious systems from the ground up. Key Responsibilities • iOS App Development: Design and implement features that remain highly responsive during market volatility and process real-time data with maximum efficiency., • Trading Interface Design: Build gesture-driven mobile UIs that maintain the information density of professional terminals on smaller screens while preserving full functionality for power users., • Data Visualization: Develop high-performance, interactive charting tools and real-time visualizations to assist users in making informed, data-driven trading decisions., • Wallet & Security Integration: Implement native integrations with mobile wallets and biometric authentication, managing on-device transaction signing and secure key management., • System Architecture: Integrate complex REST APIs and WebSocket streams while managing robust client-side cached states to ensure data integrity., • DevOps & Quality Assurance: Configure and maintain CI/CD pipelines for automated builds, previews, and testing to ensure seamless production rollouts and rollbacks. Interview Process • Initial Interview: Discussion with the Founder / CEO., • Assessment: A take-home technical test., • Technical Evaluation: A comprehensive technical interview and an onsite coding session., • Production iOS Experience: 3+ years of experience shipping iOS applications using Swift, with a strong preference for backgrounds in fintech, trading, or real-time data environments., • Design Sensibility: A strong eye for UI/UX with the ability to wireframe, prototype, and make informed design decisions regarding information hierarchy and gesture-driven interfaces., • App Store Proficiency: Proven track record of shipping apps through the Apple App Store, with a deep understanding of the full release cycle from provisioning to production., • Platform Expertise: Deep knowledge of iOS performance characteristics, memory management, and background processing., • Real-Time Systems: Experience building applications that handle live data streams, including managing WebSocket connections, reconnection logic, and UI responsiveness. Core Attributes • Ownership Mindset: Comfortable taking the lead on architectural decisions and driving feature development from ideation to launch., • In-Person Collaboration: A preference for working in a high-intensity, in-person engineering environment., • Competitive Compensation: Top-tier base salary plus an equity stake in the organization., • Health & Wellness: Comprehensive medical, dental, and vision insurance with HSA options., • Retirement: 401(k) or equivalent retirement plan with an employer match., • Time Off: Generous paid vacation and holiday policy., • Culture: A flat, engineering-driven environment where technical excellence and innovative ideas are prioritized. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

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 . Senior Systems Engineer, Kernel Performance & Observability CoreWeave is seeking a Systems Kernel Engineer focused on Performance and Observability to join our HAVOCK Team. In this role, you will build the next generation of automated introspection tools that detect issues before our customers do. You will leverage eBPF and programmable debuggers to create "OOB (Out of Band) Kernel Introspection" capabilities, allowing us to analyze live systems and core dumps with unprecedented depth. You will turn manual debugging steps into automated software solutions. Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet Our Team's Stack: • Observability: eBPF (BCC/libbpf), drgn, bpftrace, perf, • Python, Go, C, • Custom Linux Kernel, Ubuntu, • Prometheus, Victoria Metrics, Grafana, • Advanced Observability – Designing eBPF-based tracing tools to analyze latency, resource contention, and locking in real-time., • Introspection Tooling – Advancing our usage of programmable debuggers (like drgn) to analyze live kernels and core dumps., • Automated Triage – Building systems that automatically categorize kernel crashes (RIP registers, stack traces) and reporting., • Out-of-Band (OOB) Debugging – Implementing stealth forensics to debug hosts via DPUs without impacting the main CPU., • Develop eBPF programs to trace complex performance regressions in production., • Build and maintain Debug images and associated tooling., • Automate the analysis of soft lockups and crash dumps (automating crash/drgn workflows)., • Work on "OOB Kernel Introspection," enabling memory traces and debugging., • 5+ years of experience in Systems Engineering or Kernel Development., • eBPF Mastery: Strong experience writing eBPF programs (using bcc, bpftrace, or libbpf) for production environments., • Scripting for Debugging: Proficiency in Python (specifically for drgn or GDB scripting) to automate analysis., • Deep Linux Internals: Understanding of how to trace the scheduler, memory subsystem, and block layer., • Experience with OOB (Out of Band) management, • Experience with Fuzzing (Syzkaller) or Sanitizers (KASAN, UBSAN), • Previous work on "Self-Healing" infrastructure or automated remediation 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 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 Full Stack Software Engineer, you will improve and expand CVector's web applications, back-end data-flow, and industrial gateways. Your work will deliver robust, intuitive user experiences, including real-time data visualization, adaptable to diverse environments such as power generation stations and chemical plants. This role requires a passion for shipping high-quality, user-centered products. You should possess a startup mentality, meaning the ability to rapidly acquire new skills and comfortably contribute across the entire software stack. You will collaborate closely with the engineering team and have opportunities to take initiative and leadership in various projects. Responsibilities As a Full Stack Software Engineer, you will drive CVector's SaaS product forward by fulfilling the following responsibilities: • Collaborate with the engineering team to design, implement, and deploy features and bug fixes across the full software stack, • Develop real-time data visualization tools and dashboard builder, • Ensure high quality through the development and maintenance of automated unit, integration, and end-to-end tests, • Participate in an on-call rotation to support system reliability, • Actively pursue opportunities for professional growth and skill enhancement Our software stack includes Python, Typescript, React, Supabase, MQTT, Figma, Arco Design, TigerData, PostgreSQL, hosted on AWS and managed with GitHub. You will use and develop expertise with these technologies. The successful candidate for Full Stack Software Engineer will possess the following traits and qualifications: • Relevant engineering degree(s) or equivalent professional experience demonstrating a strong foundation in computer science, • Experience developing software with Python and/or Typescript, • Familiarity with modern web frameworks, databases, cloud infrastructure, and real-time data visualization libraries, • Strong communication and collaboration skills 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

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 Full Stack Software Engineer, you will play a key role in designing, building, and evolving CVector’s core platform—including our web applications, back-end data pipelines, and industrial gateways. You will help deliver robust, intuitive user experiences centered around real-time data visualization and operational insight, deployed in demanding environments such as power generation facilities and chemical plants. This role requires strong technical judgment, a bias toward shipping high-quality software, and a product-oriented mindset. You should be comfortable working across the stack, learning new technologies quickly, and taking ownership of complex problems in a fast-moving startup environment. You will collaborate closely with other engineers and will have opportunities to lead technical initiatives and influence architecture and product direction. Responsibilities As a Senior Full Stack Software Engineer, you will: • Lead development of real-time data visualization platform to create beautiful data visualizations and integrate inspiring AI-driven insights, • Design, implement, and deploy features and bug fixes across the full software stack, from front-end UI to back-end services and data stores, • Collaborate with product and design to translate user needs into well-scoped, high-quality technical solutions, • Ensure system reliability and maintainability through automated unit, integration, and end-to-end testing, • Participate in an on-call rotation and help improve operational tooling and observability, • Contribute to technical decision-making, architecture discussions, and code reviews, • Mentor junior engineers and help raise the overall quality and velocity of the team Our current technology stack includes Python, TypeScript, React, Supabase, MQTT, Figma, Arco Design, TigerData, PostgreSQL, and AWS, with development workflows managed through GitHub. A strong candidate will bring: • A relevant engineering degree or equivalent professional experience demonstrating a solid foundation in computer science, • 5+ years experience developing production software using Python and/or TypeScript, • Experience building modern web applications with front-end frameworks (e.g., React) and back-end services, • Familiarity with cloud infrastructure, databases, and real-time or event-driven systems, • Experience with data visualization, dashboards, or complex UI state is a strong plus, • Strong communication skills and the ability to collaborate effectively in a remote-first team, • Comfort working in a startup environment with evolving requirements and high ownership 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

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 computer graphics and visualization engineer to bringing our systems to life so the world can visualize and understand our fusion systems. You will report directly to Thea Energy leadership and engineering teams to develop the CAD models and graphics that will be turned into a reality in the near term. This role requires deep technical skills, unparalleled vision for a fusion energy future, and a speed & execution mindset coupled with extreme attention to detail. The Thea Energy team is comprised of driven, creative, and fun individuals passionate about solving complex problems.Key Responsibility Areas: • Define and execute a vision for commercial fusion energy via visual storytelling, • Produce complex CAD designs from first principals, • Develop photorealistic renders and videos of Thea Energy’s fusion technologies, • Create various forms of media across presentations, websites, videos, and other physical formats, • Collaborate with world-leading experts to ground visualizations by rigorous scientific and engineering standards, • Communicate and collaborate with internal and external stakeholdersIdeal Experience & Skillsets:, • 5+ years of relevant work experience in hardware-focused CAD modeling and graphics, • Ability to design complex hardware and machinery that does not yet exist - with an ability to take ideas through to building models and visualizations, • Expertise in NX, 3DS Max, or other industry standard CAD programs, • Expertise in industry leading graphics visualization programs, • Excellent oral and interpersonal communication skills, • Ability to execute and flourish in a fast-paced, rapidly changing environment, • Comfortable working to aggressive deadlines, • Exceptional work ethic, • Strong team member with clear communication and collaboration skillsCompany Benefits:, • Salary range $85,000-$175,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact. We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce. 💻 Role We are looking for intellectually curious, highly motivated individuals to be foundational members of our Discovery Feed & Personalization team. You will partner across the company to lead our Exploration efforts to help new sellers and small categories grow and thrive. We are looking for a backend engineer with a track record of shipping product features at scale. You should excel at making the right tradeoffs between building it fast and building it right. You should have experience leading and delivering on cross-functional projects, supporting multiple other engineers. What you'll do: * Ship product features to deliver high-quality Discovery experiences for users * Build and maintain a scalable, stable, low latency feed experience * Build the services and infrastructure to enable efficient exploration systems to help small sellers and new categories grow * Lead a workstream of multiple other software engineers as the individual responsible for success * Partner closely across the machine learning, platform, and product engineering teams to utilize models to solve discovery problems * Contribute scalable solutions across various serving stacks at the feed, search, machine learning service, and Discovery application layers. * Define and advance our technical approach to scalable recommendation systems. We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York City, San Francisco, Seattle or Los Angeles hub. 👋 You People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it. As our next Software Engineer you should have 5+ years of experience, plus: * Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience. * Industry experience with a track record of applying practical methods to solve real-world problems on consumer scale data. * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. You can mentor others and prioritize building inclusive, supportive teams. * Experience in discovery-related fields (e.g. Recommendations, Content Understanding, Search, etc.). * Expert at designing and building scalable and maintainable backend systems. * Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana * Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark. 🎁 Benefits * Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance on both food and wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $195K - $230K

Job Description Senior Computer Vision & Spatial Geometry Engineer Location: New Yori, NY / Remote Duration: Full Time Role Overview We are building an automated system that converts scanned architectural floor plans (PDFs)—including NYC as-built condominium filings—into structured, coordinate-based spatial data suitable for 3D modeling and GIS workflows. This role focuses on reconstructing accurate geometry from raster scans, not extracting existing vectors and not training end-to-end black-box models. The core challenge is turning noisy, skewed, real-world blueprint scans into watertight room polygons with real-world coordinates. We are looking for a senior engineer who is strong in classical computer vision, computational geometry, and raster-to-vector reconstruction, and who enjoys solving hard, practical problems with deterministic and explainable systems. Key Responsibilities Geometry & Vision Pipeline • Design and implement a raster-to-geometry pipeline for scanned architectural PDFs, • Build robust preprocessing tools for:, • deskewing, • binarization, • noise reduction, • normalization of low-quality scans, • Isolate architectural linework (walls, boundaries) from:, • text, • dimensions, • symbols, • stamps and annotations, • Handle door gaps and broken boundaries to ensure enclosed, “watertight” regions, • Extract enclosed regions (rooms, corridors) using connected components and topology analysis, • Convert raster regions into clean polygon geometry, • contour extraction, • polygon simplification, • vertex snapping, • consistent winding and validity checks Spatial Accuracy & Scaling • Develop deterministic methods to convert pixel geometry into real-world X/Y coordinates, • Calibrate scale using:, • architectural dimension annotations, • scale notes when available, • Validate geometry numerically:, • closed polygons, • area consistency, • tolerance-based error detection Text & Semantic Integration • Integrate OCR outputs to:, • associate room labels with polygons, • parse dimension strings (feet/inches, metric), • extract height or ceiling notes, • Map semantic text to spatial geometry using proximity and containment logic Output & Integration • Produce structured JSON outputs aligned with downstream 3D/GIS systems, • Ensure outputs are explainable, debuggable, and consistent across floors and documents, • Build internal visualization/debugging tools (overlays, masks, polygon previews) What This Role Is Not • Not prompt engineering, • Not LLM application development, • Not training large end-to-end neural networks Required Technical Skills • 5+ years of experience in computer vision, image processing, or computational geometry, • Strong command of classical CV techniques, including:, • thresholding and morphology (dilate/erode/open/close), • edge and line detection (e.g., Hough transforms), • connected components and region analysis, • contour tracing and polygon simplification (e.g., Douglas–Peucker), • Solid understanding of planar geometry and numerical robustness, • Experience converting raster data into vector or polygon representations, • Strong Python skills (NumPy, OpenCV, scikit-image, etc.), • Comfortable debugging visually and iterating on messy real-world data Strongly Preferred • Experience with architectural drawings, floor plans, CAD, BIM, GIS, or maps, • Familiarity with OCR systems and bounding-box–based text extraction, • Experience parsing architectural dimensions (feet/inches or metric), • Experience validating polygon geometry (self-intersection, closure, area), • Prior work on document image analysis or technical drawings Nice to Have • Experience using pretrained segmentation models to supplement classical CV, • Exposure to GIS or BIM formats (GeoJSON, IFC, IMDF), • Knowledge of NYC as-built or Department of Buildings / Finance document conventions, • Experience building internal QA or visualization tools, • Familiarity with downstream 3D geometry pipelines

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description About Voyant Photonics Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting edge research in silicon photonics. The Opportunity We are seeking a Senior Engineer with a strong background in Embedded Systems to join our engineering team. In this critical role, you will be instrumental in designing, developing, and optimizing the embedded software interfaces that power our advanced FMCW LiDAR. You will work across the entire product lifecycle, from architecture to implementation, testing, and deployment. If you are passionate about building robust, real-time embedded systems for groundbreaking LiDAR technology and thrive in a collaborative, fast-paced environment, we encourage you to apply. Key Responsibilities * Design, develop, and optimize embedded software and firmware for real-time operation of LiDAR systems * Collaborate closely with hardware engineers, optical engineers, and signal processing experts to define system requirements, integrate hardware and software components seamlessly, and ensure optimal system performance * Develop and implement APIs for both prototypes and products for embedded imaging sensors * Implement 3D data visualization for lidar data from our sensors * Optimize embedded code for performance, memory usage, and power consumption * Contribute to system-level architecture discussions, identifying key trade-offs and proposing innovative solutions. * Design and implement efficient monitoring and control algorithms Required Qualifications * Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field. * Strong proficiency in C/C++ for embedded systems development. * Experience with performant data serialization protocols * Experience with live visualization of complex data sets * Proficiency with version control systems (e.g., Git). Preferred Qualifications * Experience with protocols for inter-component communication (e.g., Ethernet, SPI, UART) * Familiarity with various microcontroller architectures (e.g., ARM Cortex-M/R/A, DSPs) and System-on-Chips (SoCs). * Experience with FPGA/CPLD development (VHDL/Verilog) and hardware description languages is a strong plus. * Experience implementing DSP algorithms in embedded C++ Linux environments * Experience with PCL or ROS2 * Experience with Python for scripting, testing, and data analysis. * Knowledge of sensor fusion techniques. Benefits package * Competitive salary and meaningful equity package * Comprehensive health benefits (Medical, Dental, Vision) * Unlimited PTO and paid company holidays * Team events and company meetups * Hybrid or remote work environment with monthly travel for remote employees. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job DescriptionBenefits: • 401(k), • 401(k) matching, • Competitive salary, • Dental insurance, • Flexible schedule, • Health insurance, • Opportunity for advancement, • Paid time off, • Profit sharing, • Training & development, • Vision insurance AKIVA is an AI-native engineering firm delivering domain-specific solutions and enterprise services from strategy through deployment. We build production-ready AI systems, intelligent infrastructure, and agentic management platforms that drive measurable results for commercial enterprises and government agencies. Company: AKIVA Location: Multiple / Remote Security Clearance: None Required Employment Type: Full-Time / Contract / Project-Based / Part-Time Position Overview AKIVA is seeking AI Engineers across multiple experience levels (Junior, Mid-Level, Senior, and Subject Matter Expert) to design, build, integrate, and operate production-grade AI and agentic systems supporting enterprise and government programs. This role supports regulated, compliance-driven environments, including data-intensive platforms, dashboards, automation workflows, and multi-system integrations critical to program oversight, reporting, and operational efficiency. AI Engineers at AKIVA work across the full lifecyclefrom strategy and architecture through deployment and production supportdelivering secure, scalable, and auditable AI solutions, including multi-agent systems, orchestration frameworks, and agent-based task coordination for complex workflows. Key Responsibilities (All Levels) • Design, develop, and maintain AI-enabled and agentic systems for enterprise and government use cases., • Build and operate multi-agent workflows, including agent coordination, orchestration, and tool invocation., • Develop secure data pipelines for ingestion, transformation, and validation., • Integrate AI solutions with enterprise platforms and systems using REST APIs, SQL Server, and secure file transfer., • Support production dashboards, automation scripts, and scheduled/overnight processes., • Monitor, troubleshoot, and optimize AI systems, data pipelines, and integrations., • Contribute to or lead DevOps, MLOps, and AgentOps practices, depending on level., • Ensure solutions comply with data security, governance, and audit requirements., • Document systems, workflows, and AI behavior to support compliance and operational continuity. Required Qualifications (Level-Appropriate) • Experience in software engineering, AI/ML, data engineering, or enterprise systems, commensurate with level., • Proficiency in Python and SQL (SQL Server preferred)., • Experience working with REST APIs and integrated enterprise systems., • Familiarity with cloud-based environments (Azure, AWS, or equivalent)., • Understanding of AI/ML concepts, including model deployment and lifecycle management., • Exposure to or experience with agent-based systems, orchestration, or workflow automation., • Experience supporting or contributing to production systems. Preferred Qualifications • Experience with multi-agent systems, agent orchestration frameworks, or agentic platforms., • Familiarity with agent frameworks (e.g., LangChain, AutoGen, CrewAI, or custom frameworks)., • Experience with monitoring and observability tools, • Familiarity with vector databases, semantic retrieval, and AI-enabled dashboards., • Experience with cognitive architectures, neural network-based models, or hybrid symbolic/LLM systems used in production environments.Tools, Technologies & Frameworks, • Languages: Python, SQL, PowerShell/Bash, • Databases: SQL Server, • AI & Agentic Systems: LLM-based agents, multi-agent orchestration frameworks, vector databases, • Integration: REST APIs, FTP/SFTP, • Cloud: Azure, AWS, GCP, • DevOps & Ops: CI/CD pipelines, infrastructure as code, monitoring and logging tools, • Visualization: Power BI, Tableau, or custom dashboards Methodologies & Practices • Agile / Scrum, • Secure Software Development Lifecycle (SDLC), • MLOps and AgentOps best practices, • Data governance, auditability, and compliance controls, • Responsible and explainable AI practices Join Our AI Innovation Network Interested in staying connected with AKIVAs AI initiatives, research, and opportunities? Join our AI Innovation Network here: This requisition is intended to support hiring across multiple AI Engineer levels, from early-career engineers to senior technical leaders and subject matter experts. Responsibilities, autonomy, and technical leadership expectations will scale based on experience and demonstrated expertise. Equal Employment Opportunity Statement AKIVA is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, national origin, age, physical disability, marital status, military and veteran status, or any other characteristic protected by applicable law. We believe that diversity among our teammates is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people within a qualified candidate pool. AKIVA is a certified Service-Disabled Veteran-Owned Small Business (SDVOSB). This is a remote position.

Job DescriptionSchmidt Sciences is a nonprofit organization founded in 2024 by Eric and Wendy Schmidt that works to accelerate scientific knowledge and breakthroughs with the most promising, advanced tools to support a thriving planet. The organization prioritizes research in areas poised for impact including AI and advanced computing, astrophysics, biosciences, climate, and space—as well as supporting researchers in a variety of disciplines through its science systems program. About the AI & Advanced Computing Institute (“AI Institute”) The AI Institute at Schmidt Sciences is a grantmaking and research group that views AI as a transformative force for scientific discovery and societal progress. Over the next decade, we aim to support key researchers who are working to make AI systems competent, trustworthy, reliable, and able to effectively partner with human scientists on the next generation of discovery. We will also make distinctive investments in beneficial AI areas where philanthropy has a unique advantage. By supporting enabling infrastructure, foundational research, and targeted programs in science disciplines, the AI and Advanced Computing Institute will create the conditions for AI-enabled discovery to achieve its promise. The AI Institute currently has three focus areas: AI for Science – using AI to improve how scientists generate hypotheses, conduct experiments, analyze data, and produce new knowledge – and do this in a way that specifically accelerates the discovery process. Exploratory programs include post-transistor hardware for AI and AI for scientific simulation.Science of AI – understanding and controlling AI systems to mitigate and manage potential risks from advanced AI. Improve AI reliability and performance in areas of limited commercial interest. Existing programs include AI2050 and Science of Trustworthy AI. Exploratory programs include AI interpretability and evolution of multi-agent communication.Beneficial AI – providing scientific foundations and datasets for understanding the larger human impacts of AI. This includes selected high-impact grantmaking, such as our programs to use AI to accelerate humanities research (Humanities and AI Virtual Institute), and to quantify the impact of AI on the labor market (AI@Work). Schmidt Sciences has multiple programs related to the AI Institute, such as the Virtual Institute for Scientific Software (VISS), which seeks to accelerate the pace of scientific discovery through the support and development of high-quality, community-oriented scientific software. These philanthropic efforts support experienced engineers who are tasked with building open-source infrastructure and applications for multi-disciplinary, high-performance, at-scale scientific discovery. The Role Reporting to the Compute Program Scientist in the AI Institute, the Software Engineer will provide technical leadership and apply application development expertise across AI Institute and Schmidt Sciences multidisciplinary efforts. The initial set of projects will focus on cutting-edge developments in AI. A successful candidate should have a work portfolio that reflects specific contributions to production-grade software products. Success for this role is defined by the quality of software components produced, and the impact of the programming contributions on the overall success of each project. This role requires up to 30% domestic travel. Example activities for this role:● Implementing recently published algorithms or novel data-processing techniques within an existing application.● Troubleshooting and evaluating complex software packages for numerical accuracy, finding regressions after refactoring, or adopting existing software libraries for new hardware platforms.● Instrumenting research software for performance optimization and analysis, especially for large-scale, distributed workflows.● Using a combination of open source packages and proprietary APIs to construct scalable AI services using hybrid on-prem and cloud-based resources. Key Responsibilities for this role include the following:Primary Technical Development • Select the optimal tools and algorithms to implement solution components that enable new scientific capabilities or mitigate gaps and address test findings., • Own cognizant responsibility for the software architecture of multiple codebases using different programming languages., • Analyze and assess model resource requirements, review operational plans (e.g., virtualization, cloud, etc.), and evaluate other technical opportunities.Additional Schmidt Sciences Support, • Assist existing programs by providing software development expertise and mentorship, while working closely and collaboratively with multiple subject matter expert teams., • Work with other members of the Schmidt Sciences technical team to implement new software features and capabilities in support of diverse research activities., • Maintain awareness and track industry trends for tools and frameworks that address data management, analysis, visualization, monitoring, and security of research applications., • Participate in relevant industry events and forums, representing Schmidt Sciences’ presence on AI and advanced computing issues.Required Knowledge, Skills, and Abilities, • A Bachelor’s degree from an accredited institution, with a focus on Computer Science, Mathematics, or a related field., • 5+ years of professional experience developing high-quality software applications., • Proficiency with software engineering tools and best practices., • Proficiency with modern machine-learning software frameworks, such as JAX, PyTorch, TensorFlow, etc., • Exposure to CPU/GPU/TPU acceleration techniques with popular SDKs (e.g., OpenCL, CUDA, ROCm, Cloud TPU)., • Prior work with containerized Linux workloads, including GPU-accelerated configurations., • Basic knowledge of computer networking and distributed computing., • Ability to design, train, deploy, or maintain state-of-the-art AI models at a production scale., • Experience producing technical writing for expert and general audiences., • Good track record of collaborative impact in high-intensity, team-based environments., • Sense of controlled urgency in driving work to completion., • The highest integrity and ability to maintain confidentiality., • Be able to travel within the U.S. and internationally on a regular basis as needed.Preferred Knowledge, Skills, and Abilities, • Expert-level experience and industry credentials in the software and hardware frameworks that drive modern AI, and competence in at least one, and preferably multiple, fields of science impacted by modern AI., • Exposure to multiple steps in the software design lifecycle, such as evaluating the scalability, data requirements, compute needs, and selecting infrastructure components., • Expertise in relevant technical focus areas, e.g., AI model optimization and hardware accelerated frameworks., • Ability to work with and effectively translate technical concepts across multiple scientific disciplines., • Ability to critically evaluate scientific and technical publications and emerging methods in related disciplines.

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

A leading global trading firm is expanding its alternative data initiative and is seeking an experienced Data Scientist to help drive the next phase of signal discovery and deployment. Demonstrated experience working with alternative data and assessing its real-world usefulness. Advanced Python skil

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

A leading global investment firm is expanding its sector-focused data science capability, embedding data more deeply into the investment research process. Experience working with large, complex, or unstructured datasets. This team partners directly with investors to generate differentiated insights

DataAnnotation is committed to creating high-quality AI. Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or completed Masters and/or

Collaborate within a team of data scientists to design and maintain shared infrastructure,. Python + SQL proficiency; exceptional data modeling, testing, and tooling. Bridges data and investing - clear communicator who partners with investors to convert.

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

Strong understanding of data products, data modeling concepts, data APIs, enterprise integrations. Experience with data product and governance frameworks, data marketplaces, data mesh concepts, or. Hands on experience with cloud data platforms (Azure, AWS, or GCP), data pipelines, or integration too

Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management. DataAnnotation is committed to creating high-quality AI.

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Act as a thought partner to Engineering and Produc

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

Coordinate cross-functional delivery with Claims, Operations, Technology, and D&A partners (Data Governance, Data Quality, Data Architecture, DevOps, BI/Insights) to ensure compliance, secure, and production-ready outcomes. Power BI and/or data engineering knowledge to support scalable reporting, me

DataAnnotation is committed to creating high-quality AI. Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management.

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. As a startup, we disrupted the credit card industry by individually personalizing every cre

Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics). As a startup, we disrupted the credit card industry by individually personalizing every credit c

As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a For