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Engineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval. Develop and maintain backend services and APIs in Python and TypeScript that power search capabilities for scientists, data engineers, and AI applications. Strong proble

Python, or Java for backend APIs. This full-time role involves developing both client-facing interfaces and backend infrastructure, ensuring a seamless experience for users across the system. CMS, including custom fields, theming, templates, and backend logic.

Experience in authoring and developing Python libraries. Phoenix Cyber is looking for security focused Python programmers to help develop custom plugins and 3rd party integrations for a commercial-off-the-shelf cybersecurity software product. Minimum 5 years of strong Python programming experience.

Design and build core backend systems (Python preferred).

The Python Developer is responsible for designing, developing, and implementing Python based automation to execute the reconciliation process. Job Description: Python Developer. Implement scalable data solutions using Python and cloud-based platforms such as Databricks and Apache Airflow.

Site Reliability Engineering experience in both Operations and Engineering environments, including Python coding and container-based architectures such as AWS ECS or Kubernetes. We are looking for a Site Reliability Engineer-SkillBridge Intern (Virginia) to join our Zero Trust Exchange team. This is

This role is both hands-on and strategic: you will design and implement core systems, define the platform roadmap, and work across engineering teams to ensure we have a secure, reliable, and scalable foundation. You’ll partner with engineering managers across PHP, Python, and mobile/web platforms,

We’re looking for a Python Integrations Developer to own and expand the third-party integrations that connect our platform with the systems financial institutions rely on every day. You’ll write Python code to connect systems, debug data flow issues, work directly with vendor documentation and s

Aretum is seeking a skilled and motivated Senior Python Developer. As a Senior Python Developer, you will assist in leading the integration of a custom application with other client based systems. Mentor peers and junior developers in Python design.

Job Title: Python Backend Developer. We are seeking a skilled Python Backend Developer to join our team and contribute to the development and maintenance of high-quality backend applications. Develop and maintain high-quality Python backend applications.

Support data quality, security, and automated analytics pipelines. Strong expertise in Python and data science libraries such as Pandas, scikit-learn, and Jupyter. Experience working with large and unstructured datasets.

Placement Type: Temporary Salary: $75-80 Hourly $75 - $80/hr Start Date: May 16, 2026 Senior Software Engineer, Conversational Platform Location: United States (candidates must be based in US) Contract: 6 months (with potential to extend) Eligibility: must be authorized to work W2 in USA Fully remote, working your time zone's hours, but must be US based • Candidates must complete candidate verification process through our vendor before being submitted We are seeking a Senior Software Engineer to join a dedicated delivery team at our agency client, a pioneer in voice and conversational AI, focused on delivering a large-scale conversational platform initiative for the U.S. Department of Veterans Affairs (VA). The platform is built on Microsoft Azure within a highly regulated, enterprise public-sector environment. This is a hands-on engineering role centered on the design and development of the conversational backend. You will build core platform services, implement integrations with client-managed APIs and security systems, and help translate solution architecture into working software. You will be responsible for technical execution, but also expected to contribute to architectural discussions and provide technical guidance. You will work closely with client and partner teams to align backend implementation with external systems, platform constraints, and delivery timelines. Success in this role requires strong backend engineering skills, sound technical judgment, and the ability to operate effectively in a complex multi-stakeholder environment. What You'll Do • Lead technical implementation planning from design through deployment readiness, • Translate architecture into application, integration, and infrastructure requirements, • Design and implement core backend services for orchestration, conversation state, session-context handling, and integration adapters, • Write production-quality code for Azure-based services using approved patterns, • Coordinate across API, security, identity, content, and operations teams, • Establish scalable patterns for multi-threaded conversational workflows, session handling, and system interactions across the platform, • Support backlog development, delivery sequencing, and technical issue resolution, • Review technical designs, code, and integration artifacts for quality and alignment, • Troubleshoot and resolve complex integration and runtime issues, • 8+ years of experience in software engineering, including leading complex backend or platform delivery efforts, • Strong hands-on experience building production backend services and APIs, • Experience contributing directly to implementation in addition to providing technical leadership, • Experience debugging distributed, event-driven, or integration-heavy systems, • Experience with Microsoft Azure application services and integration patterns., • Experience with API integrations, workflow orchestration, and state management., • Proficiency in Python for backend development preferred; Node.js or TypeScript also acceptable, • 1+ years of experience working with conversational AI, agent-based systems, or LLM-enabled applications., • Experience working across engineering, architecture, security, and operations teams., • Experience with grounded response patterns, search-integrated conversational systems, or retrieval-augmented (RAG) approaches., • Experience with Azure services such as Container Apps, Durable Functions, Azure OpenAI, Cosmos DB, Service Bus, Redis, and AI Search., • Experience with testing or evaluation approaches for LLM-enabled systems., • Experience in government, healthcare, or similarly regulated environments., • Familiarity with accessibility and trust considerations for public-facing systems. #LI-MS2

AIR is currently seeking a Junior Programmer with experience in Medicaid administrative data. This Junior Medicaid Programmer supports research projects by querying large claims databases, building and documenting analytic datasets, producing clear analytic outputs, applying quantitative methods, assisting with study design and project administration, contributing to technical documentation, and ensuring the quality and consistency of all work products. This position will report to AIR's Healthcare Innovations Team, which supports high-quality implementation and produces rigorous evidence on the effectiveness of new approaches to care and payment—translating findings into actionable insights for policymakers, payers, providers, and patients. This position has the flexibility to work remotely within the United States (U.S.) or from one of AIR’s ___. This does not include U.S. territories. About AIR: Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all. Responsibilities: The responsibilities for the position include: • Query large databases including Medicare, Medicaid and commercial payer claims data., • Construct and document analytic data files., • Create customized and presentation-quality reports from data analysis results., • Apply quantitative methods and techniques to manage and analyze research data., • Participate in the design of research studies., • Manage administrative aspects of projects., • Support the preparation of technical procedures and reports., • Review work products to ensure quality and consistency of content. Qualifications: Education, Knowledge, and Experience: • Bachelor's degree in Data Analytics, Mathematics, or related quantitative analytics field with a minimum of 2 years quantitative research experience in health policy or a related field, or a Masters degree in quantitative analytics field, health policy, public policy, or public health., • 2 years of experience in SQL/Python/Linux., • Experience processing and analyzing Medicare, Medicaid, or other commercial claims data., • Knowledge of data analysis and data management techniques., • Experience with Snowflake and Data bricks preferred, but not . Skills: • Quantitative and qualitative research skills., • Strong communication and organizational skills., • Ability to learn quickly, take direction, and work independently., • Ability to take collaborative and consultative approaches to resolve issues., • Creative, professional, and able to take initiative., • Ability to collaborate effectively in a virtual work environment. Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements. American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of age, race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at call 202.403.5000. Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an “@air.org” domain. Please take extra caution while examining the email address, for example is correct and is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out . If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) atReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams. #LI-AS1 #LI-REMOTE ___ is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity within the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States. Anticipated Annual Salary Range $83,700 - $111,600 USD

Analytica is seeking a Data Scientist to support long term federal client engagements projects in the DC Metro area. The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. This position is fully remote. Analytica has been recognized by Inc. for 3 consecutive years as one of the 250 fastest growing business. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match. Responsibilities include: • Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization., • Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key determinants for modeling that exist in the business process and within existing data sets as well as selecting evaluation protocols (model techniques)., • Modeling - Candidates will have practiced skills and experience selecting classification modeling techniques to fit the business problem. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc., • Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results., • Visualization- Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges.Qualifications:, • Master's degree required, and PhD preferred in Statistics, Mathematics, Computer Science, or similar, • High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling, • At least four years of experience developing scalable, production-ready NLP solutions using sci-kit learn, Keras, TensorFlow, PyTorch, Spark NLP., • Experience using git/github to version control source code, • Experience leveraging transformer architecture to develop NLP models, • Experience with open source NLP packages such as Gensim, SpaCy, or NLTK., • Experience with BERT, GPT-J, RoBERTa, T5 or other transformers, • Experience with GenAI and Prompt Engineering is a plus, • Experience in Databricks and MLFlow is a plus, • Experience with machine translation and transcription of foreign language documents using Microsoft Azure translation services is a plus, • Experience working in an AWS cloud environment and with related AWS services such as Bedrock and Textract, • Experience coordinating and maintaining user stories, • Must be a US citizen Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. • Application Review: AI tools may help identify skills and experiences relevant to the role., • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Afresh is the leading AI company in fresh food—partnering with grocers like Albertsons, Wakefern, Meijer, and Stater Bros to order billions of dollars of fresh food in over 12,000 grocery departments nationwide. Following record-breaking 70% growth in 2025, we’ve expanded our platform to cover all fresh departments, launched our full store suite, and debuted DC Fresh Buying. We’re on a mission to eliminate food waste and make fresh food accessible to all. In 2025 alone our software helped save 200M lbs of food waste. If you're looking for a role where your work directly translates into massive scale and social good, and you want to be part of the team that defines the future of fresh, there is no better time to join us. About the Role As a Senior Data Engineer, you’ll play a key role in scaling and improving how we integrate and process customer data. You will design and implement ETLs that reliably process large volumes of customer-provided data and build tools/improve the platform to make customer integrations faster, more accurate, and more scalable. You’ll also contribute to the development of new features that support our expanding product lines. Your work will have a direct and visible impact on our ability to onboard customers more easily and quickly and power our machine learning grocery solution. What You’ll Do • Build tools and frameworks that streamline customer integrations, enabling faster onboarding and better handling of customer data., • Create robust ETLs in PySpark and DBT to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use., • Investigate and implement new technologies into the data platform, focusing on practical solutions that address current pain points and anticipate future needs., • Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features., • Identify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations., • Solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need., • Support team members by mentoring engineers, leading technical discussions, and providing clear, actionable feedback. What Makes You a Great Fit We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification. • Significant experience designing and maintaining ETLs that process large-scale datasets., • Proficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT., • Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions., • A focus on practical outcomes—you're skilled at balancing technical rigor with the need to get things done., • Experience working directly with complex, unclean datasets and finding innovative ways to process and analyze them., • A knack for identifying areas where tooling or automation can simplify workflows and reduce manual effort., • Excellent communication skills—you’re able to explain your ideas clearly to both technical and non-technical audiences., • Proven leadership in technical projects, with a willingness to mentor and help others grow. Why Work Here • Join a mission-driven company reducing millions of pounds of food waste in grocery stores per year., • Work on challenging, real-world problems that have a direct impact on our customers., • Be part of a collaborative, supportive team where your ideas are valued and acted on., • Use cutting-edge tools and platforms to solve meaningful data challenges. We’re looking for someone who thrives on tackling complex data problems and takes pride in building systems that work seamlessly at scale. If that sounds like you, we’d love to hear from you! This position is not eligible for immigration sponsorship Salary Range in U.S.: $156,000 - $211,000 About Afresh Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices. Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors. Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility. Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law. Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI.

Fully Remote (North America / South America) * There is 1 opening, posted to multiple locations. No agencies. Maximus (___) is a mission-driven consumer performance medicine telehealth company that provides men and women with content, community, and clinical support to optimize their health, wellness, and hormones. Maximus has achieved profitability, 8-figure ARR, and is doubling year over year - with a strong cash position. We have raised $15M from top Silicon Valley VCs such as Founders Fund and 8VC as well as leading angel investors/operators from companies like Bulletproof, Tinder, Coinbase, Daily Stoic, & Shopify. We also offer Maximus Labs, a standalone biomarker testing subscription that doubles as an acquisition channel into our telemedicine protocols. We're targeting 2x customer growth this year and need a Growth Lead who can build the acquisition engine that gets us there. We're capital-efficient and compete against Hims, Hone, Keeps, and Fella by being better at the product, not louder with ad spend. Our growth strategy is conversion-driven: make the signup-to-checkout funnel so good that paid channels become more efficient by default. We are looking for a strong Lead Engineer (Tech Lead) to lead our Growth engineering team. You will be splitting your time roughly 50/50 between management and coding. You own the lower acquisition funnel, from flow start through checkout, across all Maximus protocols. Your north star metric is Flow Start to Checkout CVR. You also carry an M1 Retention guardrail, which means you can't optimize for conversion at the expense of user quality. Every experiment you ship has a built-in quality check. You will manage a small team of engineers and work directly with a Sr. PM and Sr. Designer. You will report directly to the Head of Engineering. * Impact: Set the technical direction for how Maximus acquires customers, run experiments that directly move revenue, and build a team that compounds learning over time. The Growth team's output is visible in the company's top-line numbers every month. * First 90 days: Complete BNPL migration to Klarna across all protocols * First 2 Quarters: Launch a new activation satisfaction survey for our retention guardrail and build cohort-level experiment tracking * Maximus is at the stage where the acquisition engine needs a dedicated engineering leader who stays with the problem long enough to compound results. If you want to own that end to end, with real authority and real accountability, this is the role for you. * Deliver protocol-level A/B experiments on signup flows, checkout, plan pricing, and product recommendations using Amplitude * Ship full-stack features across the acquisition funnel in Rails and React * Coach and develop your engineering team through regular 1:1s, pair programming, code reviews, and career conversations * Own experiment design, including sample sizing, metric selection, and the CVR-vs-retention tension that comes with a dual mandate * Iterate and continuously optimize plan and pricing architecture, including payment platform integrations * Build and maintain the experimentation infrastructure your team runs on * Partner with data engineering to instrument cohort-level M1 retention tracking per experiment * Drive adoption of AI-assisted development across the team, using tools like Claude Code and Devin to increase shipping and development velocity * Ruby on Rails 7 / Ruby 3.3, React 18 / TypeScript 5.4 (strongly preferred) * Event-sourced architecture with command pattern * PostgreSQL, Redis, Delayed Job for background processing * Stripe and Klarna for payments and installment plans * Amplitude for experimentation and analytics, Segment for event collection * Redux with redux-loop and Immutable.js on the frontend * Docker, AWS/GCP, Aptible, GitHub Actions CI/CD * Cypress for E2E testing * AI-assisted development: Claude Code and Devin for agentic coding * You've led a team of 4-8 engineers before, with direct reports you grew and retained * You've shipped and measured growth experiments in a subscription product (signup funnels, checkout optimization, pricing and plan architecture) * You write production Ruby on Rails and React code and expect to keep doing so (strongly preferred). Javascript (Node), Python are also acceptable. * You can design an experiment, pick the right metric, set a sample size, and explain the trade-offs to a PM who wants to ship faster * You think in funnels and cohorts, not just features * You're comfortable with event-sourced systems or similar architectural patterns where state is derived from event streams * You use agentic AI coding tools (Claude Code, Devin, Cursor, or similar) in your daily workflow and have opinions about how to integrate them into a team's development process * Experience with healthcare, wellness, or regulated subscription commerce * Familiarity with Stripe billing, Klarna, or similar payment platform integrations * Experience building or managing Amplitude (or LaunchDarkly, Optimizely, etc.) experimentation infrastructure * Remote, Americas-based (team is distributed across US and Latin America time zones) * Two-week sprints with PM, Design, and Tech Lead driving prioritization together * Ship and deploy to production multiple times per day * Full suite: health, medical, dental coverage (USA & Canada) * Flexible vacation/time-off policies * Equity into the company in the form of high potential stock options * Liquidity of options whenever available * Extended options exercise window for loyal employees (3 months for every year of service; e.g. 1 year for 4+ year employees) Do you believe you're a fit for this role and want to join the Maximus team? We'd love to hear about you! Here is what you can expect from the hiring process (if there are changes we will be sure to let you know). Please refrain from messaging or emailing people directly, if you are interested, apply directly, your application will be reviewed by a human. * Application & Criteria Questionnaire: When submitting your application and resume, tell us why you want to join Maximus and take your time with the questions. The Criteria Questionnaire will be sent to you automatically and is mandatory, we will use it as part of our data driven process. This is your chance to make a strong first impression. * First Interview (30min): Interview with Justin L, Recruiting Lead. This will be a exploratory conversation focused on how you work, your experience & fit for the role, and alignment on values and expectations. * Hiring Manager Interview (60min): You will then meet with Mark P - Head of Engineering to understand how you would approach real Growth team problems across system design and technical decisions as well as discussion around leading a team, growing engineers, hiring, AI adoption, and other aspects of people leadership. * Technical Interview (60min): Interview with one of our Senior or Lead engineers to evaluate hands-on coding ability in our stack (Rails + React/TypeScript). We want to see that you can build and ship, not just architect. Feel free use agentic AI tools (Claude Code, Cursor, Windsurf, etc.) during the exercise, as appropriate * Product Interview (45min): You will chat with Steve C - Senior Growth Product Manager who will dive into your collaboration with product, how you assess tradeoffs, and growth related product work. * Meet the CEO (30min): At the very end, you will have the opportunity to meet with Cam S, our CEO. This is a great chance for you to gain a deeper understanding of Maximus's strategy, values, and work processes. Maximus is an equal opportunity employer, which not only includes standard protected categories, but the additional freedom from discrimination against your free speech and beliefs, as long as they are aligned with company values. We celebrate intellectual diversity. Note: We utilize AI note-taking technology during our interview sessions to ensure we capture all answers and details accurately. Candidates are also encouraged to use AI note-takers for their own records if they wish.

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

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. At ___, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.), • Adapting guidelines for new domains and use cases, • Following project-specific rubrics and requirements Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You have a Bachelor's degree in Computer Science, Software Engineering, or related field., • You have at least 3 years of professional experience with Rust and hands-on experience with Rust testing tools (e.g., cargo test, property-based testing with quickcheck)., • Familiarity with Rust tooling (Cargo, Clippy, rustfmt), module and crate management., • Experience with code review, quality analysis, and identifying/fixing code smells and type issues⁠, • Familiar with test integration in CI/CD environments., • Experience using, integrating, or tutoring others with AI solutions or LLMs in Rust/test automation contexts., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

Financial Data AnalysisEmbedded FinanceInvestment Strategy & AdvisoryPredictive Analytics & VisualizationAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Financial Analyst Job Type: Full-time or Part-time, Contract Location: Remote Job Summary Are you a skilled Financial Analyst looking for your next opportunity? Join our dynamic talent pool and gain access to exciting roles with top-tier clients. Be the first to hear about new openings and work with innovative teams that value financial excellence in data-driven analysis. Key Responsibilities • Analyze complex financial data to identify key trends and provide actionable insights for strategic decision-making., • Lead the evaluation of embedded finance opportunities and contribute to advisory on investment strategies., • Develop predictive financial models and dynamic visualizations using up-to-date analytics platforms., • Conduct thorough market and industry research, synthesizing information from diverse sources to inform business recommendations., • Communicate findings and strategic recommendations clearly in both written reports and verbal presentations to stakeholders., • Stay ahead of the latest trends in the Asian economy, embedded finance, and digital financial solutions., • Collaborate with cross-functional teams to translate analytical results into business outcomes. Required Skills and Qualifications • Bachelor’s degree in Finance, Economics, or related field., • Professional certification (CFA, CIIA, CMA) or proven experience as a financial analyst in a leading finance institution., • Strong proficiency in financial data analysis, predictive analytics, and visualization tools (e.g., Power BI, Tableau, Python or R)., • Demonstrated experience in investment strategy and advisory, particularly within embedded finance contexts., • Exceptional written and verbal communication skills, with a keen eye for detail and clarity., • Advanced online research capabilities and ability to synthesize diverse financial information rapidly., • Experience working in or with Asia, with a solid understanding of regional financial markets and economic drivers. Preferred Qualifications • Previous experience at an MBB (McKinsey, BCG, Bain) firm or a major financial institution., • Familiarity with digital finance platforms and emerging fintech trends in the Asian market., • Based in Asia, or extensive prior exposure to the Asian economic landscape.

About Nava Nava is a consultancy and public benefit corporation working to make government services simple and effective. Since 2013, federal, state, and local agencies have trusted Nava to help solve highly scrutinized technology modernization challenges. As a client services company, we guide agencies constrained by legacy systems to a future with sharp user experiences built on secure, reliable, fault-tolerant cloud infrastructure. We bill for our time, offering our expertise and problem-solving approach to help our government partners enhance their digital products and services. People are at the heart of our work, from members of the public who rely on benefit programs to government agency staff. Through human-centered design and modern engineering best practices, we help our government partners better understand user needs and deliver on their missions more effectively. This focus gives everyone at Nava the opportunity to do work that is meaningful, impactful, and deeply connected to public good. Position Summary Nava is at the forefront of reimagining how our government serves its people, and we’re looking for experienced infrastructure engineers to help drive this mission forward. You will work on a team that’s helping to improve and manage all aspects of our systems, which are deployed on AWS. We make heavy use of tools such as Docker, Packer, Terraform, and Jenkins and we continually evaluate new technologies as they become production-ready for government contexts. You'll be responsible for pushing the limits of these critical systems, from Billion User Load Tests to achieving and maintaining sub-millisecond transaction times. By doing this, you’ll help ensure that Nava continues delivering services that millions of Americans depend on. You care deeply about working on technology that affects people’s lives, and are passionate about building and maintaining large-scale systems that are well-designed, fast, scalable, and secure. \n What you'll do: • Work with a cross-functional team to deliver on project requirements., • Set technical direction and standards for your team to ensure scalability, reliability, security, and system compliance., • Code, manage, configure, and maintain services update documentation and runbooks., • Implementing security controls., • Mentor less senior engineers., • Join our on-call rotation as a first line of defense during production issues., • Take part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed. Required skills: • Minimum of 5 years of experience., • Experience leading small team 3-5 engineers., • Previous experience maintaining a medium or large-scale production system or COTS products using Infrastructure as Code (IaC) on AWS., • Broad experience with AWS services., • Significant experience working with Jenkins, GitHub Actions,‬ LaunchDarkly., • Significant experience with Terraform, Atlantis and other IaC and automation tools., • Significant experience in one or more of the following areas: Cloud Infrastructure, Unix/Linux, Scripting, and Security., • Ability to automate procedural tasks using scripting in Shell, PowerShell, Bash, or coding in Python, Javascript, or Ruby., • Excellent written and real-time communication skills, technical and otherwiseAbility to pick up and learn new development and operations skills. \n$126,000 - $135,900 a year\n Other requirements All roles at Nava require the following: Must be legally authorized to work in the United States. Must meet any other requirements for government contracts for which candidates are hired. Work authorization that doesn’t require visa sponsorship, now or in the future. May be subject to a government background check or security clearance, depending on the contract. Perks working with Nava Health coverage – Comprehensive medical, dental, and vision plans to support your overall health needs. Time off – Vacation, holidays (including Juneteenth), and floating days to rest and recharge. Company holidays- Enjoy 12 paid federal holidays each year on top of your regular PTO. Annual bonus – When Nava meets goals, eligible employees receive a performance-based annual bonus. Parental leave – Paid time off for new parents, plus weekly meals delivered to your home. Wellness program – Full platform offering physical, mental, & emotional health resources & support tools. Virtual care – See doctors online with no copay through UnitedHealthcare’s virtual visit program. Sabbatical leave – Earn extended paid leave after continuous service for personal growth or rest. 401(k) match – Nava matches 4% of your salary to support your retirement savings plan. Flexible work – Remote-first environment with flexibility built around your schedule and responsibilities. Home office setup – Company laptop & setup assistance provided via Staples for remote work needs. Utility support – Monthly reimbursement to help offset eligible home office utility expenses. Learning opportunities – Internal training programs and resources to help grow your professional skills. Development budget – Annual allowance for courses, tuition, certifications, & LinkedIn Learning access. Referral bonus – Get rewarded when you refer great people who join the Nava team. Commuter benefits – Pre-tax commuter programs to support in-office travel when applicable. Insurance coverage – Nava provides disability, life, and accidental death insurance at no cost. Supportive culture – A collaborative and remote-friendly team environment where people genuinely care. Location We have fully remote options if you reside in one of the following states: Alabama, Arizona, California, Colorado, DC, Florida, Georgia, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, North Carolina, New Jersey, New York, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Tennessee, Utah, Virginia, Washington, Wisconsin. *If you are not living in one of the states listed above, unfortunately, you will not be considered for a position at this time. Additionally, if employed with Nava, you must be based in the U.S. and cannot work from outside the country. Stay in touch Sign up for our ___ to find out about career opportunities, new partnerships, and news from the broader civic tech community. Please contact the recruiting team at if you would like to request reasonable accommodation during the application or interviewing process. We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role requires you to work from the contiguous United States.

About Nava Nava is a consultancy and public benefit corporation working to make government services simple and effective. Since 2013, federal, state, and local agencies have trusted Nava to help solve highly scrutinized technology modernization challenges. As a client services company, we guide agencies constrained by legacy systems to a future with sharp user experiences built on secure, reliable, fault-tolerant cloud infrastructure. We bill for our time, offering our expertise and problem-solving approach to help our government partners enhance their digital products and services. People are at the heart of our work, from members of the public who rely on benefit programs to government agency staff. Through human-centered design and modern engineering best practices, we help our government partners better understand user needs and deliver on their missions more effectively. This focus gives everyone at Nava the opportunity to do work that is meaningful, impactful, and deeply connected to public good. You will work on cross-functional teams to build scalable systems for our government -- designing, implementing, and delivering services that millions of Americans depend on. You care deeply about working on technology that improves people’s lives, but don’t think technology is always the answer. You are passionate about building large-scale systems that are inclusive, well-designed, fast, scalable, and secure, and you'll help set high standards for our teams in terms of simplicity, empathy, and accessibility. The Senior Data Engineer role will be responsible for developing end to end systems for one of Nava's major government partners. The objective is to modernize an existing legacy enterprise platform to improve its public facing processes, and experiences which will enable users to have more access to the programs and services that they need, in real-time, in a more user friendly and uncomplicated way. This individual will be involved in everything, from strategy, and planning through to post production testing, and support. \n What you'll do • Lead a team of 6 engineers, • Working with fellow Nava engineers to design, review, and build well-crafted software, • Working in an agile manner to efficiently ship new features that meet user needs, • Design and develop scalable data ingestion and processing pipelines, • Implement large-scale data ecosystems within cloud-based platforms that include data management and data governance of structured and unstructured data, • Implement data validation and quality checks to ensure accuracy and consistency, • Work with cross-functional project teams to gather business requirements and translate to detailed technical specifications, • Work with Government partners to assist and develop data engineering applications and pipelines that will enable data services and processing capabilities, • Participate in software design and code reviews, • Maintain security and privacy standards in all aspects of the data pipeline, • Taking part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed Required skills • Open to Data Engineers, • At least 7 years of experience working in an agile, multidisciplinary team environment, preferably designing and building medium to large-scale on Cloud platforms, • At least 3 years of experience leading and mentoring engineering teams, • At least 3 years of experience building data services on AWS, • Experience building large scale data services with FHIR/HL7 in healthcare, • Experience with big data technologies such Apache Spark, AWS Glue, AWS‬ Athena, Databricks‬, AWS Redshift, AWS S3 and AWS RDS, • Proficient writing applications and APIs in Python, Go or Java, Tenacity to dive into problems and iterate in working code, • Equal parts systems thinker and advocate for users, • Highly resourceful, reliable, and detail-oriented, • Ability to think strategically around trade-offs and short term vs. long term benefits, • An adaptive, empathetic, collaborative and positive mindset, • Excellent written and verbal communication skills, technical and otherwise \n$135,900 - $153,000 a year\n Other requirements All roles at Nava require the following: Must be legally authorized to work in the United States. Must meet any other requirements for government contracts for which candidates are hired. Work authorization that doesn’t require visa sponsorship, now or in the future. May be subject to a government background check or security clearance, depending on the contract. Perks working with Nava Health coverage – Comprehensive medical, dental, and vision plans to support your overall health needs. Time off – Vacation, holidays (including Juneteenth), and floating days to rest and recharge. Company holidays- Enjoy 12 paid federal holidays each year on top of your regular PTO. Annual bonus – When Nava meets goals, eligible employees receive a performance-based annual bonus. Parental leave – Paid time off for new parents, plus weekly meals delivered to your home. Wellness program – Full platform offering physical, mental, & emotional health resources & support tools. Virtual care – See doctors online with no copay through UnitedHealthcare’s virtual visit program. Sabbatical leave – Earn extended paid leave after continuous service for personal growth or rest. 401(k) match – Nava matches 4% of your salary to support your retirement savings plan. Flexible work – Remote-first environment with flexibility built around your schedule and responsibilities. Home office setup – Company laptop & setup assistance provided via Staples for remote work needs. Utility support – Monthly reimbursement to help offset eligible home office utility expenses. Learning opportunities – Internal training programs and resources to help grow your professional skills. Development budget – Annual allowance for courses, tuition, certifications, & LinkedIn Learning access. Referral bonus – Get rewarded when you refer great people who join the Nava team. Commuter benefits – Pre-tax commuter programs to support in-office travel when applicable. Insurance coverage – Nava provides disability, life, and accidental death insurance at no cost. Supportive culture – A collaborative and remote-friendly team environment where people genuinely care. Location We have fully remote options if you reside in one of the following states: Alabama, Arizona, California, Colorado, DC, Florida, Georgia, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, North Carolina, New Jersey, New York, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Tennessee, Utah, Virginia, Washington, Wisconsin. *If you are not living in one of the states listed above, unfortunately, you will not be considered for a position at this time. Additionally, if employed with Nava, you must be based in the U.S. and cannot work from outside the country. Stay in touch Sign up for our ___ to find out about career opportunities, new partnerships, and news from the broader civic tech community. Please contact the recruiting team at if you would like to request reasonable accommodation during the application or interviewing process. We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role requires you to work from the contiguous United States.

Tiger Analytics is looking for experienced Data Scientists GenAI to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions. Responsibilities: • Work on the latest applications of data science to solve business problems, • Work directly with client stakeholders to translate business problems into high level analytics solution designs, • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value, • Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably, • Design and develop machine learning and Generative AI solutions using RAG, • Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph, • Develop agentic AI workflows for automation, insights generation, and decision support, • Implement Document Intelligence solutions for extracting insights from unstructured data, • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights, • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution, • 6+ years of experience working as a GenAI Data Science., • Proficiency in Python and SQL, • Experience with MLflow and model lifecycle management, • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications, • Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.), • Experience with Bedrock, JumpStart, HuggingFace, • Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming), • Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning, • Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.), • Experience developing models from inception to deployment 5-10 years of professional work experience with at least 5 years in Data Science., • Experience building end-to-end ML pipelines in production, • Familiarity with CI/CD pipelines, monitoring, and model governance, • Ability to design scalable and reliable AI systems Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Join us and help shape the future of AI by defining the narrative around document understanding. We are seeking a highly technical ML engineer who can produce compelling, authentic technical content at high velocity. You will combine deep expertise in document AI with strong writing skills to build benchmarks, publish technical analyses, and establish our position as the definitive leader in document understanding. This is not a traditional DevRel or Marketing role. You will write real code, build real benchmarks, and run real experiments - then translate that work into published content at a pace far faster than academic publishing. Your output will directly drive awareness and adoption among the developers building the next generation of document-powered applications. * Design, build, and maintain comprehensive benchmarks for document parsing and understanding * Publish high-quality technical content at a weekly cadence (blog posts, benchmark reports, technical comparisons, tutorials) * Stay deeply current with the document AI landscape - new models, papers, competitors, techniques * Run experiments and translate findings into publishable artifacts quickly * Produce technical analyses that demonstrate our capabilities against alternatives * Contribute to open-source examples, notebooks, and documentation * Collaborate with the core ML team to surface improvements and capabilities worth highlighting * Engage authentically with the developer community through technical content (not conferences/events) * Experience in software engineering (ML engineering + research a bonus) * Strong software engineering fundamentals with production Python experience * Understanding of modern ML techniques, particularly in computer vision, NLP, or multimodal learning * Demonstrated ability to write clearly, quickly, and authentically about technical topics * Bias toward shipping - comfortable publishing at blog pace, not paper pace * Ability to read, understand, and synthesize research papers rapidly * Scrappy and self-directed - can identify what's worth writing about and execute end-to-end * Track record of high-velocity output in fast-paced environments * Experience with vision-language models, transformer architectures, or document AI specifically * Existing portfolio of technical writing (blog posts, tutorials, technical documentation) * Experience building evaluation frameworks or benchmarks * Familiarity with OCR, layout analysis, table extraction, or document structure understanding * Active presence in ML/AI technical communities * Experience with LLM applications and RAG systems In-person in San Francisco. Shape the Narrative: Your content will define how developers think about document understanding. You'll have direct influence on market perception. Technical Credibility: Work with cutting-edge document AI systems processing millions of documents. Your benchmarks and analyses will be grounded in real capabilities. High Autonomy: Significant freedom to identify what matters and publish quickly. No lengthy approval chains. Growth Opportunity: Help build this function from the ground up as we scale. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.

Job Type Full-time Description Remote Greater Seattle Area About the Company AuthenticID is solving one of the biggest business issues in the world today: Fraud. Fraud losses are skyrocketing for companies as sophisticated actors are leveraging artificial intelligence to create world-class fake or synthetic identities to defraud banks, wireless carriers, governments, and every other enterprise on the planet. AuthenticID uses game-changing, proprietary machine-learning algorithms to ensure people are who they say they are, thereby preventing fraud and saving our customers millions of dollars a year. Our products combine biometric and computer vision technology to provide very fast determinations of whose identity is real and whose is not over the web and in mobile applications. AuthenticID is headquartered in Kirkland, WA, and serves enterprise clients across diverse industries, including Telecom, FinTech, Healthcare, Banking, Gaming, and Government. Many of our clients are Fortune 500 household names with billions of dollars in revenue. The Opportunity Reporting to the VP of Customer Support, Support Engineers create the foundation of trust for AuthenticID’s customers. Our ability to respond to customer needs, provide exceptional customer service, and take action to resolve issues – both big and small – are paramount to AuthenticID’s continued success. Tier 2 Support Engineers have a track record of success in the following areas: • Communication: you are adept at translating technical information into clear explanations for a variety of users., • Critical Thinking: you relentlessly seek out opportunities to improve customer satisfaction, simplify processes, and boost team collaboration. You leave situations better than you found them., • Customer Experience: at least 2 years of customer service experience in a SaaS or IT-based organization. Startup and/or cybersecurity (identity) experience is desired., • Spreadsheets: Comfortable with Excel and Google Sheets. Intermediate experience with Formulas, Pivot Tables, VLOOKUPs, Conditional Formatting, and Data Validation., • Word Processing: Experience with formatting and professional presentation of Word documents and emails. What You Bring • Knowledge of AuthenticID products, • Technical Experience Desired:, • Familiarity with:, • Any 3GL programming language, • Python and SQL is required., • Jupyter notebooks is desired, • Snowflake, • Grafana for monitoring and diagnosis is desired., • DiffMerge is desired., • DiffGram is desired., • BA or BS in Computer Science or similar (graduate degree preferred), • Enterprise B2B2C experience in a data analytics or consulting role preferred, • Communication ninja adept at translating complex technical matters into simple actionable directives, • Critical thinking, exceptional teaching, and problem-solving guru, • Research and understand MLOps standards and processes, • Formulate and evaluate alternative solutions and/or recommendations to achieve departmental goals, • Collect and analyze data, create reports, review and explain trends, • Mission-oriented individual passionate about making a difference and building something greater than yourself, • You thrive in rapidly changing environments with no issue rolling up your sleeves to get the job done AuthenticID’s salary range for this position is $80,000 -$110,000 per year. Our salary ranges are determined by role, level, and location. Pursuant to the Washington Equal Pay Act, Colorado Fair Pay Act and the New York City Pay Transparency Law, the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. Salary is just one component of AuthenticID's total compensation package for employees. Your total rewards package at AuthenticID will include medical, dental and vision coverage, unlimited PTO, flexible work environment, and many other corporate initiatives centered around employee experience. Equal Opportunity Statement AuthenticID is an equal-opportunity employer, and we welcome applicants from all backgrounds. If you're passionate about consumer identity privacy and a team player who wants to join a growing diverse and dynamic team, we look forward to hearing from you! Salary Description 80,000-110,000

Build the AI platform that's rewriting a $50B industry Salary range - $180-220k USD + Equity + Benefits We're building one of the first agentic systems for enterprise legal and compliance teams that actually automates their manual work. End-to-end. Delivering 80% faster compliance reviews and 4x productivity gains. We recently closed a $12M USD Series A (Peak XV Partners, DST Global, Airtree) and are growing fast in the US; building the infrastructure that will completely re-define how enterprises think about compliance. Think Canva for design. Atlassian for projects. Haast for compliance. Compliance is a $50B global challenge. Enterprise legal and compliance teams spend a significant amount of time manually reviewing documents against policy, spotting regulatory risk, and signing off on content before go-to-market. It's painful and it's mission-critical. We're building the infrastructure that makes this manageable at scale. You'll be working on systems that directly reduce risk and unlock productivity for some of the world's largest organisations. As our first US based Engineer; you'll be the technical bridge between our product vision and our customers' reality. You're a full-stack engineer who thrives at the intersection of innovation and execution, building our platform while staying connected to the teams actually using it. You'll split your time between heads-down building (shipping code that matters) and being engaged with customers, understanding their pain points firsthand, iterating on features in real-time, and using that feedback to shape our product direction. You'll own end-to-end technical decisions: designing systems, shipping to production, and iterating based on direct customer interaction. This is high-autonomy work. You'll collaborate directly with our founding team, move at startup velocity, and have genuine influence over both our architecture and product roadmap. * Design, architect, and ship full-stack features that directly solve our customers compliance challenges * Own the technical relationship with key customers; implementing solutions, gathering requirements, and translating feedback into product improvements * Build scalable services and APIs that power our LLM compliance platform while keeping the customer experience front and center * Make high-impact technical decisions quickly, knowing that you'll be accountable to both our engineering standards and our customers * Challenge assumptions on "why" and "how", you'll directly influence what we build and how we build it * Shape our product roadmap and engineering practices as we scale from Series A to market leadership * You've built full-stack systems at meaningful scale; you're equally comfortable architecting backend services and shipping frontend code that customers interact with daily * You're deep on one or more of: Go, Node.js/TypeScript, or Python, and you're fluent enough across the stack to own features end-to-end * You understand APIs, distributed systems, and the tradeoffs between speed and reliability in production environments * You genuinely enjoy working with customers; you're not just shipping features, you want to understand the human problem you're solving * You've shipped in fast-moving environments and understand what it takes to move quickly without breaking things * You're curious about how LLMs work and excited about building practical applications on top of them, not just the theory * Competitive benefits: PTO, Health, Dental, Vision, 401k * Real impact, day one: Your code runs inside the workflows of major global enterprises immediately. You're solving mission-critical compliance problems that directly reduce risk and unlock productivity. * Forward-deployed influence: You'll spend time with customers, understanding their pain points and having direct input into product decisions. Your customer insights will shape our roadmap. * Equity upside: We're building a generational company in a $50B market. You'll own a meaningful stake in that value creation and be part of the defines how Haast scales. We believe in sharing success with the people who build it. * Exceptional learning velocity: You'll learn more about scaling systems, working with customers, building products, and navigating the demands of a fast-growing startup in 12 months here than most roles offer in three years. * Engineering-driven culture: No red tape. We hire smart people and get out of their way. Your voice matters in how we build. * Flexibility and community: Fully remote across the US or Canada. We're looking for people who've shipped things they're proud of and want to work on a problem that genuinely matters. Apply with: * Your CV * A brief note on this question: Tell us about a time you worked with customers to ship something they actually needed. What did it take to achieve the outcome? No closing date. We review applications on a rolling basis. At Haast, we believe bold ideas come from diverse perspectives. We're committed to building a team that reflects the world we work in. Even if you don't tick every box, we'd love to hear from you. #LI-Remote

Fastly helps people stay better connected with the things they love. Fastly’s edge cloud platform enables customers to create great digital experiences quickly, securely, and reliably by processing, serving, and securing our customers’ applications as close to their end-users as possible — at the edge of the Internet. The platform is designed to take advantage of the modern internet, to be programmable, and to support agile software development. Fastly’s customers include many of the world’s most prominent companies, including GitHub, Yelp, Paramount, and JetBlue. We're building a more trustworthy Internet. Come join us. Posting Open Date: 2/13/2026 Anticipated Posting Close Date*: 4/13/2026 *Job posting may close early due to the volume of applicants. Customer Solutions Engineer Our customers are interested in optimizing their product delivery, global footprint, and user experience using the Fastly platform. You will be on the front lines of this adoption. Internally we title this role as a Fastly Cloud Engineer (CE) within the Fastly Revenue Organization. As a trusted customer advocate, the CE will help organizations understand various technologies such as Edge Computing and CDN architectures, as well as assisting them on efficiently migrating existing workload to Fastly, all while linking technology with measurable business value. You should be able to demonstrate technical ownership across assigned strategic customer accounts, bringing emotional intelligence and clear communication to all interactions and audiences (both technical and non-technical). With your technical expertise, you should act as a problem solver, identifying challenges and advocating solutions. At Fastly, we are looking for individuals who are passionate about technology and have an ongoing drive and capability to absorb and retain vast amounts of deep technical information. What You'll Do: * As the resident Fastly architect for your customer, you are an extension of the customer’s technical team, and represent and champion the customers needs within Fastly * Develop technical relationships with customers to build a deep understanding of their team, infrastructure, plans, and problems they are encountering * Post sales implementation of Fastly products, such as logging endpoints, image optimization and VCL coding while documenting key aspects of the customer’s configuration for troubleshooting and engagement * Investigate and recommend improvements to customers implementation and utilization of Fastly’s technology stack * Look for opportunities to introduce new Fastly products that compliment the customer’s needs * Partner internally to create customer strategies and assist in support requests or problems for assigned customers * Participate in regularly scheduled customer meetings on-site and by video/phone as necessary, including cadence calls and Quarterly Business Review meetings * Responsible for tracking and reporting on the health of your customer accounts, providing regular updates to Client Services leadership What We're Looking For: * 5 + years Pre-Sales or Post-Sales experience in Sales Engineering, Web Development, Customer facing DevOps Engineer, Technical Account Management, or Solutions Architect * This is a hands on role, you must be willing to roll your sleeves hop on the keyboard and tackle customer issues and requests * Understanding of networking, including, BGP, internet routing, and the difference between transit and peering * Understanding of HTTP/s, TCP, TLS, DNS, HLS, DASH, Load Balancing, Apache, NGINX * Hands-on experience with Linux and scripting languages/tools such as (Python, Sed, Awk, Perl, JSON, Ruby, GO, Node.js) * Experience with internet and cloud based architecture as well as an understanding of bare metal deployments as well as cloud environments such as AWS, Azure, and GCP * Empathy and understanding of the customer * Possess a comfort level with presenting and leading customer presentations and training * Strong interpersonal, communication and feedback (writing and verbal), critical thinking & analytical skills * Able to present technical concepts to various business stakeholders (technical and non-technical). Able to outline deliverables and business impact. * Capable and willing to travel for customer meetings as necessary * While most duties will be performed during normal business hours, there is an occasional requirement for a flexible schedule as necessary based on customer needs We’ll be super impressed if you have experience in any of these: * Experience with Varnish, Varnish Configuration Language * Streaming video/audio technologies or experience in e-commerce technologies/solutions * Experience in the CDN or cloud computing industries Work Hours: * This position will require you to be available during core business hours. * While most duties will be performed during normal business hours, there is an occasional requirement for a flexible schedule as necessary based on customer needs. Work Location(s) & Travel Requirements: This position is open to remote work locations, ideally on the East Coast US. This position may require travel as required by your role or requested by your manager. SF / LA Fair Chance Ordinance Statement Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Salary: The estimated salary range for this position is $104,830 to $125,796. Starting salary may vary based on permissible, non-discriminatory factors such as experience, skills, qualifications, and location. This role may be eligible to participate in Fastly’s equity and discretionary bonus programs. Benefits: We care about you. Fastly works hard to create a positive environment for our employees, and we think your life outside of work is important too. We support our teams with great benefits that start on the first day of your employment with Fastly. Curious about our offerings? We offer a comprehensive benefits package including medical, dental, and vision insurance. Family planning, mental health support along with Employee Assistance Program, Insurance (Life, Disability, and Accident), a Flexible Vacation policy and up to 18 days of accrued paid sick leave are there to help support our employees. We also offer 401(k) (including company match) and an Employee Stock Purchase Program. For 2026, we offer 12 paid local holidays, 12 paid company wellness days. Why Fastly? * We have a huge impact. Fastly is a small company with a big reach. Not only do___ have a tremendous user base, but we also support a growing number of___. Outside of code, employees are encouraged to share causes close to their heart with others so we can help lend a supportive hand. * We love distributed teams. Fastly’s home-base is in San Francisco, but we have multiple offices and employees sprinkled around the globe. As a new hire, you will be able to attend our IN-PERSON new hire orientation in our San Francisco office! It is an exciting week-long experience that we offer to new employees to build connections with colleagues across Fastly, participate in hands-on learning opportunities, and immerse yourself in our culture firsthand. * We value diversity. Growing and maintaining our inclusive and diverse team matters to us. We are committed to being a company where our employees feel comfortable bringing their authentic selves to work and have the ability to be successful -- every day. * We are passionate. Fastly is chock full of passionate people and we’re not ‘one size fits all’. Fastly employs authors, pilots, skiers, parents (of humans and animals), makeup geeks, coffee connoisseurs, and more. We love employees for who they are and what they are passionate about. We’re always looking for humble, sharp, and creative folks to join the Fastly team. If you think you might be a fit please apply! A fully completed application and resume or CV are required when applying. All job applications must be submitted through our official careers site at or @___ email address. Fastly is committed to ensuring equal employment opportunity and to providing employees with a safe and welcoming work environment free of discrimination and harassment. Our employment decisions are based on business needs, job requirements and individual qualifications. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, family or parental status, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Consistent with the Americans with Disabilities Act (ADA) and federal or state disability laws, Fastly will provide reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact your Recruiter, or the Fastly Employee Relations team at ___ or 501-287-4901. Fastly collects and processes personal data submitted by job applicants in accordance with our___. Please see our___.

Senior Software Engineer Overview: Does your dream job include being a part of a core team of top-notch developers building next generation technologies that change the way people work with real-time information everywhere? Are you looking for an opportunity where your ability to solve problems and to learn quickly is more important than your background with specific technologies? How about a position where you have a stake in what you build? We are small developer-focused company working on a distributed real-time platform. If you have experience and interest in these kinds of problems we'd love to hear from you. As a Senior Software Engineer at Flow you will be building cutting edge real-time technology for developers and corporations big and small. Duties and responsibilities include building out our real-time platform as well as supporting a growing list of technology-forward clients. We believe very strongly in individuals and interactions over processes and tools, and enable our engineers to innovate around challenging problems every day with little formality. As a developer you'll be able to make meaningful contributions to our core platform and services. The core skills we're looking for include Java, as well as some functional programming on the JVM (Scala/Clojure) but we are open to people with slightly different skill sets -- the ability to quickly dive into the deep end of cutting edge technology challenges and make it out of the pool alive and ready to dive right back in is much more important to us. Key technologies: Java, Scala and/or Clojure, Python AMQP, MongoDB, Redis Strong Unix Skills Bonus Technologies: XMPP, Elastic Search, WebSockets, Functional Programing (clojure, scala), High Availability, Distributed Systems Requirements: The ideal candidate will possess the following: • Self-motivated and enjoys working autonomously with a lot of freedom, • Strives for the most elegant and simple solution to complex problems, • Embraces the challenges and benefits of working with cutting edge software Flow provides real-time information solutions for developers, enterprises, and media companies. The Flow Platform is cloud-based platform-as-a-service (PaaS) built on top of a real-time architecture that enables on-demand stream processing, data routing, and interoperability across the entire application landscape. Flow also provides customers with turn-key software-as-a-service (SaaS) solutions built entirely on the Flow platform. Flow Corporation is a venture-backed New York City technology company founded in 2010. Salary is commensurate with experience and may include equity packages.

Research Scientist / Machine Learning Scientist Location: SF Bay Area/Hybrid / Remote Type: Full-Time About the Role: The Client is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You’ll help design and analyze experiments that uncover what makes models useful, trustworthy and capable through human preference signals. Your work will contribute to the scientific foundations of understanding AI at scale. This role is deeply interdisciplinary. You’ll work closely with engineers, product teams, marketing and the broader research community to develop new methods for comparing models, analyzing preference data, and disentangling performance factors like style, reasoning, and robustness. Your work will inform both the public leaderboard and the tools we provide to model developers. If you’re excited by open-ended questions, rigorous evaluation, and research that’s grounded in real-world impact, you’ll find a meaningful home here. We’re looking for: • Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning., • Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment., • Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production., • Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align modeling goals with user needs. Responsibilities: • Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions, • Develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks, • Analyze large-scale human voting and interaction data to uncover insights into model performance and user preferences, • Collaborate with engineers to implement and scale research findings into production systems, • Prototype and test research ideas rapidly, balancing rigor with iteration speed, • Author internal reports and external publications that contribute to the broader ML research community, • Partner with model providers to shape evaluation questions and support responsible model testing, • Contribute to the scientific integrity and transparency of the The Client leaderboard and tools Who is The Client? Created by researchers from___, The Client is an open platform where everyone can easily access, explore and interact with the world’s leading AI models. By comparing them side by side and casting votes for the better response, the community helps shape a public leaderboard, making AI progress more transparent, and grounded in real-world usage. Why Join Us? Trusted by organizations like Google, OpenAI, Meta, xAI, and more, The Client is rapidly becoming essential infrastructure for transparent, human-centered AI evaluation at scale. With over one million monthly users and growing developer adoption, our impact is helping guide the next generation of safe, aligned AI systems—grounded in open access and collective feedback. Our work is regularly referenced by industry leaders pushing the frontier of safe and reliable AI.,. • High Impact: Your work will be used daily by the world’s most advanced AI labs., • Global Reach: Develop data infrastructure powering millions of real-world evaluations, influencing AI reliability across industries at the top-tier, • Exceptional Team: We are a small team of top talent from Google, DeepMind, Discord, Vercel, UC Berkeley, and Stanford. Requirements: • PhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related field, • Demonstrated ability to design and analyze experiments with statistical rigor, • Experience publishing research or working on open-source projects in ML, NLP, or AI evaluation, • Comfortable working with real-world usage data and designing metrics beyond standard benchmarks, • Ability to translate research questions into practical systems and collaborate across engineering and product teams, • Passion for open science, reproducibility, and community-driven research What we offer: • The cash compensation for this position has not yet been finalized. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location., • Competitive salary and meaningful equity, • Comprehensive healthcare coverage (medical, dental, vision), • The opportunity to work on cutting-edge AI with a small, mission-driven team, • A culture that values transparency, trust, and community impact Come help build the space where anyone can explore and help shape the future of AI.

BCC Software is the leading postal and presort software solutions provider. With over 45 years of industry experience, we are dedicated to ensuring that all of our software products and marketing solutions are always ahead of the curve and compliant with the latest USPS® regulations. BCC Software is seeking an experienced Sr. Software Engineer with expertise in Delphi to join an Agile development team. The role involves contributing to both existing applications and new software offerings, solving technical challenges, and maintaining high standards of code quality. The position is part of a larger Engineering organization, and the selected candidate will be assigned to a small team of 3–4 engineers working fully remotely with regular collaboration across the team and organization. Essential Functions • Design, develop, test, and maintain software solutions in an Agile SCRUM environment, • Participate in all aspects of the software development lifecycle, including:, • Estimating and sizing user stories, • Writing, reviewing, and testing code, • Creating and executing unit tests, • Documenting development work, • Collaborating with team members on assigned Sprint activities, • Meeting individual and team commitments, • Delivering consistent results on project goals, • Collaborate with Product Owners to review requirements, define acceptance criteria, and assist with sizing/planning user stories, epics, and projects., • Act as a key contributor within the team while supporting cross-team projects across the broader Engineering organization., • Take ownership of technical problems and ensure solutions are effectively implemented., • Minimum of 7 years of professional software development experience with Delphi., • Hands-on experience with automated unit testing and function mocking frameworks., • Proficiency with software engineering tools, including source control, compilers, linkers, debuggers, and performance/profiling tools., • Working knowledge of database concepts (relational, document-based, or text-based)., • Understanding of application security principles and their practical implementation., • Familiarity with modern CI/CD practices and Gitflow workflow., • Strong verbal and written communication skills, with the ability to collaborate effectively in a remote team environment., • Experience with .NET C# and C++, • Experience with Python Work Location This role is based in Rochester, NY and is remote, with periodic in-person collaboration at a shared coworking space. Physical Demands The physical demands described here represent those necessary for an employee to successfully perform the essential functions of this position. This role is primary office-based and involves extended periods of sitting, as well as frequent hand use for typing and writing. The position also requires the ability to communicate effectively both orally and in writing. Occasional standing, walking, or bending may be necessary. Some travel will be necessary for customer visits, industry or company events, and meetings. The employee must be able to lift up to 10 pounds regularly and up to 25 pounds occasionally, which may include office supplies or small office equipment. Adequate visual acuity is essential for tasks involving reading, writing, and computer work. Position Type and Expected Hours of Work This is a full-time exempt position. Some flexibility in hours is allowed, but the employee must be available during the “core” work hours of Monday through Friday, 8:00 a.m. to 5:00 p.m. Additional hours including evening and weekend work may be required as job duties demand. AAP/EEO Statement BCC Software provides equal employment opportunity to all individuals regardless of age, race, color, creed, religion, ancestry, sex (including pregnancy, childbirth or related medical conditions), gender, sexual orientation, gender identity or expression (including transgender status), national origin, veteran or military status, marital status, genetic information, physical or mental disability, familial status, reproductive health decisions, status as a victim of domestic violence, or any other basis protected by applicable laws and regulations. Further, the company takes affirmative action to ensure that all applicants and employees are treated without regard to any of these characteristics during the application process and/or employment. Discrimination of any type will not be tolerated.

We are currently seeking a Cleared Systems Test Engineer with experience in both software and hardware testing to join our team in a government contracting defense manufacturing environment. The ideal candidate will have a strong background in Software or Hardware test engineering, with expertise in software scripting/programming, hardware/systems testing, and the ability to obtain a DoD Secret Security Clearance. Work Authorization/Clearance Level: Ability to obtain a DoD US Govt. Secret Security Clearance. Candidates must provide proof of US Citizenship or US Govt Permanent Resident. Active Secret Clearance holders are preferred. Responsibilities: Design, develop, and execute test plans and procedures for software and hardware testing in accordance with project requirements and specifications. Perform functional, performance, and integration testing of software applications and hardware components to ensure compliance with quality standards and customer requirements. Utilize software scripting and programming languages such as LabVIEW, MATLAB, and others to automate test processes and enhance efficiency. Develop scripts or code to control Commercial Off-The-Shelf (COTS) equipment used in testing procedures. Conduct signal processing tasks as needed, leveraging relevant experience to contribute to project objectives. Work with digital and analog acquisition hardware, including National Instruments products, power supplies, function generators, and sensors such as current meters and accelerometers. Collaborate with cross-functional teams, including developers, engineers, and project managers, to identify testing requirements and resolve technical issues. Document test results, identify defects, and provide recommendations for improvements to enhance product quality and performance. Adhere to government security protocols and regulations, ensuring that all testing activities comply with relevant standards and guidelines. \n Skills / Qualifications: • Bachelor's degree in a related field (e.g., Computer Science, Electrical Engineering) preferred., • Minimum of 2+ years of experience working as a Test Engineer or in hardware/systems testing., • Experience with software scripting/programming languages such as LabVIEW, MATLAB, Python, etc., • Proficiency in developing scripts or code to control COTS equipment used in testing., • Familiarity with signal processing techniques and tools is a plus., • Knowledge of digital and analog acquisition hardware, including National Instruments products., • Strong analytical and problem-solving skills, with a keen attention to detail., • Excellent communication skills, both verbal and written, with the ability to collaborate effectively with team members and stakeholders., • Ability to obtain a DoD US Govt. Secret Security Clearance., • Note: This is a full-time, on-site position located in a government contracting defense manufacturing environment. Remote work options are not available due to security requirements. \n$85,000 - $105,000 a year\n

Software Engineer, Microsoft Azure Technologies Location: Position is remote in the United States BlueVoyant Innovation and Enablement are seeking a talented and motivated Software Developer with strong experience in Azure SaaS and Function App development. The ideal candidate will have expertise in either C# or Python and a passion for innovation. This role requires the ability to work independently, conduct research into emerging technologies, and adapt to changing requirements. The successful candidate will also be skilled in rapidly prototyping solutions. About the team: We are a forward-thinking innovation R&D team dedicated to exploring and developing cutting-edge technologies. Our mission is to drive innovation and create impactful solutions that address real-world challenges for BlueVoyant's MDR services including integration with wider reach within BlueVoyant. We are currently undergoing a large restructure of existing capabilities to build a platform that allows for rapid innovation, development and global capabilities deployed to local regions. Responsibilities: • Design, develop, and maintain Azure SaaS applications and Function Apps., • Collaborate with cross-functional teams to define, design, and ship new features., • Conduct research into upcoming technologies and integrate them into projects., • Rapidly prototype solutions to validate concepts and ideas., • Ensure the performance, quality, and responsiveness of applications., • Troubleshoot and resolve issues in development, test, and production environments., • Stay up to date with the latest industry trends and technologies. Qualifications:, • Proven experience in Azure SaaS and Function App development., • Proficiency in C#, • Proficiency in Python beneficial, • Strong problem-solving skills and the ability to work independently., • Experience with AI services in Azure is a plus., • Excellent communication and collaboration skills., • Ability to adapt to changing requirements and work in a fast-paced environment., • Strong research skills and a passion for learning new technologies. Preferred Qualifications:, • Deep understanding of Azure serverless components and infrastructure, • Prior experience with AI tooling, RAG bots, AI Agents, Azure AI Studio, • Knowledge of DevOps practices and CI/CD pipelines., • Familiarity with agile development methodologies. About BlueVoyant At BlueVoyant, we recognize that effective cyber security requires active prevention and defense across both your organization and supply chain. Our proprietary data, analytics, and technology, coupled with deep expertise, works as a force multiplier to secure your full ecosystem. Accuracy! Actionability! Timeliness! Scalability! Led by CEO, Jim Rosenthal, BlueVoyant’s highly skilled team includes former government cyber officials with extensive frontline experience in responding to advanced cyber threats on behalf of the National Security Agency, Federal Bureau of Investigation, Unit 8200, and GCHQ, together with private sector experts. BlueVoyant services utilize large real-time datasets with industry leading analytics and technologies. Founded in 2017 by Fortune 500 executives, including Executive Chairman, Tom Glocer, and former Government cyber officials, BlueVoyant is headquartered in New York City and has offices in Maryland, Tel Aviv, San Francisco, London, Budapest, and Latin America. BlueVoyant uses AI-assisted tools within our applicant tracking system to help identify candidates whose experience and skills best match the requirements of a role. This technology provides hiring teams with additional insights to support fair and efficient hiring decisions. Please note that all applications are reviewed by a member of our hiring team, and final hiring decisions are made by humans, not AI. By submitting your application, you acknowledge that AI tools may assist in the evaluation of your resume as part of the recruitment process. For more information on how we process your personal data, please review our Candidate Privacy Notice available at ___. All employees must be authorized to work in the United States. BlueVoyant provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, BlueVoyant complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Disclaimer: Please note that pursuant to contractual requirements and applicable law, in order for employees to perform work on some of the company’s federal contracts, U.S. citizenship is required. Accordingly, an employee’s ability to perform work on such contracts is contingent upon the company’s verification of the employee’s citizenship status. Furthermore, individuals may be subject to additional background checks and fingerprinting. BlueVoyant Candidate Privacy Notice To understand how we secure and manage your personal data upon submitting a job application, please see our Candidate Privacy Notice, which can be found here - ___

We’re a startup with big ambitions: to make estate planning modern, visual, and intelligent. ___ is the first AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations. Our technology unifies scenario modeling, client visualization, and document creation into one seamless, digital experience. Our team brings together diverse subject matter expertise across estate planning, wealth management, and scaling SaaS startups. We’re distributed across the U.S., with a mix of fully remote and hybrid roles, and we embrace flexibility while staying closely connected. At Vanilla, you’ll join curious builders and problem-solvers who thrive on speed, autonomy, and impact. Here, you won’t just join a company, you’ll help create it. If you’re excited to tackle hard problems, move quickly, and see your work shape both an industry and a growing startup, we’d love to meet you. This role is a remote position, you must be based out of one of the following states: Arizona,California, Colorado, Connecticut, Florida, Georgia, Idaho, Illinois, Kentucky, Maine, Massachusetts, Minnesota, New Jersey, New York, Ohio, Pennsylvania, Texas, Utah or Washington We're looking for a deeply experienced Senior Frontend Engineer to raise the bar for frontend architecture and quality in our AI team, align it with the broader application best practices, and help promote frontend excellence across teams. This is not a feature factory role. This is a high ownership, cross team leadership role. * Own frontend architecture and quality for all AI features. * Align AI frontend implementation with wider application standards, including shared components, service API patterns, and design system usage. * Partner with organization frontend leaders to learn, internalize, and propagate best practices across teams. * Contribute to and evolve our shared design system and atomic component architecture. * Drive consistency across shared components, service APIs, and UI patterns. * Lead large, complex frontend initiatives end to end. * Work closely with Product and Design to translate ambiguous ideas into scalable, high quality UI systems. * Provide strong technical direction and mentorship to frontend contributors. * Establish frontend observability and tracking standards, including analytics and instrumentation. * Ensure performance, accessibility, and maintainability across the UI surface area. * Collaborate with backend and ML engineers to integrate AI powered experiences into a production grade frontend. Senior Level Frontend Depth * 5+ years of frontend engineering experience. * Deep expertise in React and TypeScript. * Strong understanding of atomic design principles and scalable component architecture. * Proven experience contributing to or leading a design system. * Experience maintaining frontend quality across multiple teams or product surfaces. * Experience with GraphQL and/or RESTful APIs. Technical Leadership * Communicates blockers and concerns early, with clear reasoning and a focus on business impact. * Able to advocate for quality and architectural direction with concrete examples and data. * Experience mentoring engineers and raising frontend standards. * Experience using AI tools to assist in development and design. Product & Quality Mindset * Experience implementing analytics and tracking. * Familiarity with tools like Datadog or similar observability platforms. * Preferred experience running or implementing A/B tests and using experimentation to inform product decisions. * Strong collaboration history with product designers using Figma and wireframes. * Comfortable resolving design inconsistencies proactively, not passively. Cross Functional Strength * Experience working across teams and bringing alignment to shared patterns. * Able to embed temporarily with another engineering group to internalize best practices and bring them back. * Experience integrating AI or ML driven features into production UIs. * Familiarity with GraphQL and service oriented frontend architecture. * Experience working in fast growing startup environments. * Experience with Rails or Python is a plus. * VAI is at an inflection point. We need a frontend leader who can elevate quality, align with application frontend standards, and confidently deliver large scale UI projects. * This role will directly influence how AI powered features are experienced by advisors and ensure frontend excellence across the platform. The salary range for this role is $130,000 to $160,000 Our compensation packages also include a performance based bonus and equity. Compensation is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Candidates must be legally authorized to work in the United States without the need for sponsorship now or in the future. Vanilla is unable to provide visa sponsorship at this time. * Flexible paid time off policy and 10 company-wide paid holidays * Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents * Medical, dental, and vision benefits coverage for employees and their families * 401K eligibility after one month of employment * Free estate planning documents * Budget for learning & development and home office setup * Paid parking or transit for hybrid and in office employees Vanilla Technologies Inc. (dba "Vanilla") provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Vanilla participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

This program provides IT services focused on building, securing, and operating the Department of Veteran Affairs LGY’s home loan product-line technology. The contract’s purpose is to modernize and sustain critical home loan technology systems that support LGY’s delivery of mortgage-related services to program stakeholders, to provide continuous delivery and security integration. Position Description: The Performance Developer will support the Department of Veterans Affairs (VA) Loan Guaranty Service (LGY). The Performance developer will be responsible for building the observability & monitoring artifacts, telemetry and logging that supports serverless system performance, diagnosing performance bottlenecks, and supporting performance optimization efforts across the LGY platform. The Performance Developer will not just write Lambda code, they will own the engineering pattern for how LGY Lambda services are built, instrumented with AWS ADOT, deployed through CI/CD, tested, and monitored in Dynatrace & Splunk. This role works closely with development first and then assists operations teams to ensure system performance scalability, and reliability across Salesforce and AWS-based integration services. The ideal candidate must have development experience working with API-driven systems, cloud infrastructure, and performance monitoring tools to develop & analyze telemetry, logs, and system metrics to identify and resolve performance issues. · Design, build, & maintain AWS Lambda services in Node.js & Python based serverless portfolio. · Lead AWS ADOT-based instrumentation for Lambda workloads, including OpenTelemetry layer adoption, configuration, OTLP settings, & runtime compatibility validation. · Using GitHub actions develop pipelines to standardize CDK Lambda constructs for Dynatrace & AWS ADOT libraries, reusable layers, environment variables, active tracing, Lambda Insights, and centralized log configuration. · Must have dev background experience implementing & supporting end-to-end tracing, metrics development and structured logging across API Gateway, Step Functions, SQS, S3, RDS/Postgres, Salesforce integrations, Oracle/SOAP services, document APIs. · Validate Dynatrace instrumentation compatibility for Nodejs Function & implement wrapper or alternate instrumentation strategies where required. · Develop and maintain correlation ID and trace propagation across Lambda, Step Functions, and downstream service calls so transactions are observable end to end. · Enforce observability practices for AWS cloud workloads, including PII-safe structured logging · Build & maintain GitHub Actions pipelines for linting, unit tests, coverage, deploy, and post-deployment telemetry validations. · Create automated tests that verify instrumentation is working, including trace/log/metric arrival in Dynatrace & Splunk, cold-start visibility, and alert validation in each environment. · Develop python-based solutions to capture Lambda errors duration, errors, throttles, retries, cold starts, workflow failures, and downstream latency. · Tune Lambda memory, timeout, concurrency, packaging, and network configuration to balance AWS ADOT overhead, Dynatrace visibility, reliability, and cost. · Modernize older Lambda implementations and pipelines to a common AWS ADOT plus Dynatrace standard across multiple env. · Investigate performance incidents and collaborate with development teams to diagnose root causes. · Review system logs, API metrics, and AWS service telemetry to identify infrastructure or application performance constraints. · Provide performance optimization recommendations to development teams when performance bottlenecks are identified. Required Skills: · Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field or equivalent professional experience and 3-7 years of experience. · Development background experience with Nodejs and Python on serverless architecture. THIS IS A MUST · Years of experience in performance engineering, application performance monitoring, or system performance analysis. · Experience with Dynatrace and Splunk · Experience analyzing application performance metrics and system telemetry. · Must be able to decipher code for troubleshooting performance issues in API-driven or distributed systems. · Familiarity with cloud-based environments such as AWS. · Strong analytical and problem-solving skills. · Experience working with monitoring tools and log analysis platforms. Preferred Skills · Experience supporting VA or federal government IT systems. · Experience with AWS services such as Lambda, API Gateway, and cloud monitoring tools. · Familiarity with Salesforce-based applications and enterprise API integrations. · Experience supporting systems that process sensitive or regulated data. SES provides a competitive salary and the following benefits: • Medical, • Dental, • Vision, • AD&D, • STD, • LTD, • Company paid Life Insurance, • 401k with employer contribution, • Paid Time Off, • Pet Insurance

___ builds AI for the mining industry. We integrate with existing mine infrastructure — cameras, SCADA systems, drones, and data repositories — to predict equipment failures, detect unsafe behaviors, and optimize operations. Our platform deploys intelligence in various ways to improve productivity and safety — monitoring PPE compliance via computer vision, optimizing froth flotation processes, analyzing longwall shearer performance, tracking MSHA citation patterns, and more. Our founders started their careers at Palantir before going on to build Blend Labs (publicly traded fintech, founded as CTO) and Even (acquired by Walmart). Our leadership team brings experience from Uber, Metropolis, and other high-bar organizations. We're a small, senior team that ships daily to production mines. AI isn't just our product — it's how we build. We're an AI-first engineering team that uses the latest models and tooling throughout our development process, moving faster and at higher quality than traditional teams our size. Our culture values high agency, deep ownership, collaboration, and autonomy across a fully remote workforce. Teams here move quickly and make meaningful contributions to a product that shapes global industrial outcomes. What You'll Do As an intern at Realm, you'll work alongside full-time engineers on real features that run at active mine sites - not toy projects or internal tooling. * Contribute to our TypeScript backend serving real-time mining operations data * Build and ship features end-to-end * Work on applied AI features using LLMs (Claude, GPT, Gemini) for intelligent analysis and automation * Contribute to computer vision pipelines leveraging LLMs and services like AWS Rekognition and TensorFlow * Deploy code to production via Kubernetes with CI/CD * Interact directly with users and translate real-world operational challenges into features * Work closely with our CEO -- former CTO and Cofounder of Blend Labs -- and a senior engineering team invested in your growth Tech Stack * Backend: TypeScript, Node.js, Prisma, PostgreSQL * Frontend: TypeScript, React * AI/ML: LLMs, AWS Rekognition, TensorFlow, OpenCV What We're Looking For Must-Have Qualifications * Currently a Junior or Senior pursuing a BS in Computer Science or a related field * Strong CS fundamentals - data structures, algorithms, and system design * Proficiency with agentic coding tools (Claude Code, Codex, or Cursor) * Comfort working across the stack -- you don't need to be an expert in everything, but you're willing to figure things out * Ability to work independently and come up to speed without heavy hand-holding * US citizen or permanent resident, based in the US Nice-to-Have Qualifications * Prior internship or project experience in a production codebase * TypeScript experience * AI or computer vision experience What You'll Get * Competitive paid internship compensation * Real ownership: your code ships to production mines * Direct mentorship from a senior engineering team with deep startup and industry experience * A front-row seat to building AI infrastructure for a critical global industry Interview Process * Engineering quiz (async, ~60 min) — A 10-question code reading and analysis assessment. You pick your language (TypeScript, Python, Go, or C++) and answer questions covering code comprehension, bug detection, performance analysis, and system design. No trick questions — we're testing how you think about real code. * Live coding interview (2 x 1-hour sessions) — Algorithmic problem solving and a simulated development task. * Behavioral interview with senior leadership — Culture fit, working style, and past experience.

Python/Django web developer needed for a startup team that is revolutionizing the consumer finance space. Extensive experience with Python/Django, Javascript (especially jQuery). Remote or Dallas/Austin based developers will be considered.

Peregrine Advisors Benefit Inc. is seeking a Development DBA to support data engineering and application database needs across client engagements. The role centers on designing, optimizing, and maintaining relational and cloud-based database systems that underpin production applications and analytical workflows, with an emphasis on performance, reliability, and developer enablement. Why Peregrine Peregrine is a Benefit corporation, legally committed to creating measurable social value alongside business performance. We offer mission-driven, technically challenging work on complex initiatives, paired with direct client access, real ownership of your work product, and a culture that rewards initiative. Who You Are You are a pragmatic, detail-oriented database professional who thrives at the intersection of application development and data infrastructure. You understand that a poorly tuned query or an ill-designed schema can undermine even the best application code, and you take pride in making sure that never happens. You collaborate naturally with software engineers, data engineers, and architects, speaking their language while holding the line on database best practices. You take ownership without being asked and care deeply about correctness, performance, and the long-term maintainability of the systems you build. Responsibilities Database Design & Development • Design and implement logical and physical data models for new application features, ensuring normalization, referential integrity, and scalability, • Author and review stored procedures, functions, views, triggers, and complex SQL queries across relational database platforms (SQL Server, PostgreSQL, or equivalent), • Collaborate with software engineers during the full development lifecycle to ensure database designs align with application requirements and performance targets, • Define and enforce database coding standards, naming conventions, and schema change management practices across development teams, • Build and maintain schema migration scripts and manage versioned deployments through CI/CD pipelines Performance & Optimization • Profile and tune slow queries, identify missing indexes, and resolve locking and blocking issues in development and production environments, • Conduct execution plan analysis and implement query rewrites, index strategies, and statistics management to meet SLA requirements, • Establish performance baselines and monitor database health metrics; proactively identify and resolve bottlenecks before they impact users Cloud & DevOps Integration • Support cloud-hosted database environments (Azure SQL, AWS RDS/Aurora, or equivalent); assist in migrations from on-premises to cloud platforms, • Integrate database change management into CI/CD workflows using tools such as Flyway, Liquibase, or equivalent migration frameworks, • Participate in infrastructure-as-code efforts, contributing database configuration and provisioning scripts using Terraform, Bicep, or CloudFormation Collaboration & Firm Development • Partner with DBAs, data engineers, and solution architects to align database design with broader data platform and enterprise architecture strategies, • Expert-level SQL proficiency across at least one major RDBMS (SQL Server, PostgreSQL, Oracle, or MySQL/MariaDB); working knowledge of a second platform strongly preferred, • Hands-on experience with database performance tuning: query analysis, index design, statistics, and execution plan interpretation, • Experience with schema versioning and database migration tooling (Flyway, Liquibase, Alembic, or similar) integrated into automated deployment pipelines, • Proficiency in Python, and terminal systems (PowerShell / Bash) for automation, data loading, and operational tasks, • Working knowledge of cloud-managed database services (Amazon RDS/Aurora); experience with cloud migrations a plus Domain Expertise & Professional Skills: • Solid understanding of relational data modeling theory and applied schema design patterns for OLTP systems, • Familiarity with DevSecOps practices: version control with Git, branching strategies, CI/CD pipeline integration, and environment promotion workflows, • Experience in federal data environments, government IT modernization, or regulated industries with data governance requirements preferred, • Strong written and oral communication skills; able to explain technical trade-offs clearly to both engineering peers and non-technical stakeholders Qualifications • Bachelor’s required; Computer Science, Information Systems, or a related technical field strongly preferred, • 5+ years of experience in a development DBA, database developer, or data engineering role with strong SQL development responsibilities, • Experience supporting both OLTP and analytical workloads; exposure to data warehousing patterns (star schema, slowly changing dimensions) a plus, • Prior consulting or client-services experience preferred, • Full health coverage (medical, dental, and vision) with 100% of employee premiums covered, • Life and disability insurance, fully covered by the company, • 401(k) retirement plan with 100% match on contributions up to 4% of salary with immediate vesting, • Unlimited Paid Time Off (PTO) to encourage work-life balance, • Remote location but greater Washington, DC area preferred for hybrid engagement, • Sponsored database certification training Peregrine Advisors is an equal opportunity employer.

Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. The company’s Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry. Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional R&D silos and accelerate the speed and scale of drug discovery and development. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We embrace new ways of learning, solve complex problems and welcome diverse perspectives that can help us advance patient-centric innovation. Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel. To learn more, visit ___. About the Role We are seeking an exceptional Staff Computational Biologist to drive the next generation of software and data products supporting Target Identification and Prioritization across our research organization. This hybrid role is ideal for someone who thrives at the intersection of biology, computation, product strategy, and engineering execution. As a senior member of the Translational Platform Engineering team, you will act as a product owner, technical strategist, and rapid prototyper, responsible for shaping the roadmap and delivering tools that power discovery teams. Your day to day includes working with biology data scientists to harden their notebooks and workflows, pushing new releases to production (on a predictable schedule), and sitting with biologists and chemists as they use the UIs to advance our translational biology efforts. The Staff Computational Biologist is the key to translating use cases into technical specifications for engineering teams. This is a highly visible and impactful role where you will contribute to a human-biology-first approach to drug discovery programs by leading the end-to-end lifecycle of platform capabilities used daily by our Target ID scientists. What You’ll Do… • Own the product roadmap for Target ID software., • Gather and prioritize scientific requirements from internal users., • Translate use cases into technical specifications for engineering teams., • Rapidly prototype computational solutions using Python., • Develop and maintain internal packages, reproducible workflows, and APIs., • Establish documentation, onboarding materials, and best practices for internal platform usage., • Lead cross-functional project execution (data engineering, software engineering)., • Follow good engineering practices (i.e. CI/CD, predictable demo cadence, etc.) What You Bring... • Bachelor's/ Master's degree in relevant field (computational biology, bioinformatics, systems biology, computer science) or equivalent relevant education and experience, • 6+ years industry experience in computational biology or data-driven discovery; minimum 1 years’ experience in software engineering and data engineering teams, • Proficiency working with programming languages Python, and R, modern development frameworks and developing internal packages, • Experience with omics/translational data analysis, scalable ETL pipelines, data modeling, and associated QC, • 1+ years’ experience leading complex projects as product owner, • Experience supporting target identification, prioritization, or multi-modal analysis. Nice to have... • Experience with dashboard development (e.g. Shiny, Dash, Streamlit, React, Veu.js)., • Understanding of cloud-native tools and modern data platforms (AWS/GCP/Azure)., • Familiarity with the drug discovery and development process is a plus Remote Salary Range $165,750 - $195,000 USD CA Salary Range $195,585 - $230,100 USD Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Valo Health's good faith estimate as of the date of publication and may be modified in the future. Please note: At this time, we are only able to consider candidates who currently have permanent US work authorization without the need for immediate or future sponsorship.

Hi there :) Thanks for checking in to find out about our open position. We´ll provide as much information as possible, but please feel free to reach us if you have further questions. We´ll be happy to see your application, even if there are skills you don't quite master! At South Geeks, we connect top LATAM engineering talent with innovative companies building impactful products worldwide. We focus on long-term partnerships, strong technical environments, and creating spaces where professionals can grow, contribute, and thrive. Our client is a real estate technology startup transforming how commercial real estate teams negotiate and manage leases through AI-driven intelligence. Their platform combines advanced AI, structured data pipelines, and user-centered design to automate complex lease workflows, extract market-aligned insights, and streamline proposal generation. The goal is to bring speed, clarity and data-backed confidence to the entire deal lifecycle. We’re looking for a Senior Data Engineer who thrives at the intersection of data engineering and applied AI. This is a hands-on, high-ownership role where you will design, build and operate systems that extract, transform, and validate structured data from complex leasing documents. You will own the full ELT loop turning messy, real-world documents into clean, reliable JSON that powers web applications and downstream systems. In this early-stage environment, iteration and agility are key. You’ll scope ambiguous problems, experiment with AI-driven extraction techniques, and continuously refine pipelines to improve accuracy and scalability. * Design and iterate data extraction and transformation pipelines that convert unstructured leasing documents into structured JSON stores. * Write and optimize LLM API calls and prompts to extract and interpret text data at scale. * Orchestrate AI-driven workflows integrating multiple LLM models to handle diverse document types and edge cases. * Build and maintain ELT workflows in Python, managing data flows between cloud storage and relational databases. * Develop data quality and validation frameworks to ensure structured outputs are accurate and production-ready. * Implement monitoring, alerting, and automated quality checks across extraction pipelines. * Collaborate with product and engineering teams to define and evolve data schemas. * Own the pipeline end-to-end — from raw ingestion to validated structured output. * Strong Python engineering experience building data extraction and transformation workflows. * Experience calling LLM APIs (OpenAI, Anthropic, or similar) and crafting prompts for structured data extraction. * Solid understanding of ELT patterns and data pipeline architecture. * Experience working with AWS S3 (or similar object storage) and PostgreSQL (or similar relational databases). * Experience designing JSON schemas and handling nested or semi-structured data. * Strong data validation mindset and experience implementing quality controls. * Ability to work independently in a fast-moving, early-stage environment. * Experience building document processing pipelines (PDFs, contracts, leases, or similar). * Experience evaluating and comparing LLM outputs for consistency and accuracy. * Familiarity with AI orchestration platforms. * Background in real estate, leasing, or financial document processing. We strive to create an inspiring and growth-oriented environment where everyone feels valued, heard, and empowered. We promote both personal and professional development, with individualized support for your needs and goals. We aim to build a space where everyone can thrive. * Long-term projects * 100% remote work * Payment in USD * Paid Time Off (PTO) * Work-from-home & training reimbursement * English lessons * Technical training * Career coaching

At Rezilient, we’re redefining primary care by making access to healthcare more convenient, timely, and seamless. Our innovative CloudClinic model combines virtual provider visits with cutting-edge technology to create a personalized digital healthcare experience that puts patients at the center of their care. By streamlining care delivery and continuously expanding specialty services, we empower our care team to focus on patient well-being while providing the most comprehensive and accessible care possible. Rezilient Health is seeking a skilled, detail-oriented Data Engineer to architect and run the data backbone behind our mission. You’ll partner with operations, clinical, and engineering leaders to turn fragmented healthcare data into trustworthy, near-real-time insights that shorten time-to-care and keep patients at the center. You’ll design scalable batch and streaming pipelines into a secure, compliant data platform, model reliable core domains, and publish well-documented datasets that power patient and provider experiences. Your work will enable cutting-edge analytics and reporting, directly improving our care delivery and operational efficiency. Key Responsibilities: • Design, build, and maintain data pipelines that ingest, process, and transform data from various sources, including clinical operations, patient interactions, and system performance., • Collaborate with data scientists, analysts, and business stakeholders to understand requirements and enable reliable, data-driven product features and insights, • Develop and manage the data infrastructure, including databases, data lakes, warehouses, and ETL processes., • Optimize query performance and storage strategies to handle large, complex datasets, • Ensure data integrity, accuracy, and security across all stages of the data lifecycle, and support compliance with healthcare regulations (e.g., HIPAA)., • Implement best practices in data modeling, database design, and data architecture to support robust analytics and reporting capabilities, as well as downstream ML / AI applications., • Create and maintain documentation for data engineering processes and pipelines., • Stay current with industry best practices and emerging technologies in data engineering and architecture. Required Qualifications: • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field., • 3+ years of experience in data engineering, analytics, or a related role., • Strong proficiency in SQL and experience working with large-scale databases and data warehouses., • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and data warehouse solutions (e.g., Redshift, BigQuery, Snowflake)., • Proficiency in programming languages such as Python or Scala for data processing and analysis., • Familiarity with ETL frameworks and tools like Apache Airflow, dbt, or similar., • Strong understanding of data governance, data quality, and healthcare compliance and security best practices., • Ability to work cross-functionally and communicate technical concepts to non-technical stakeholders. Preferred Qualifications: • Experience in the healthcare industry or working with healthcare-related datasets (e.g., clinical and/or claims data) and data interchange standards (e.g., HL7, FHIR, X12)

2018年にサービスを開始してから約6年でユーザー数6500万人を突破したフィンテック企業であるPayPayは約50か国の国と地域から集まった多様なメンバーで構成されています。 PayPay is a FinTech company that has grown to over 65M (as of August 2024) users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries. OUR VISION IS UNLIMITED_ 我々は自分たちの想像を超える未来を創るためにあえて明確なビジョンは必要ないと考えています。常にDay1であるスタンスを忘れずに、誰もが想像できないようなビジョン（未来）を実現していくのがPayPayです。 この壮大なビジョンに前向きに取り組み、他社に真似できない圧倒的なスピードでプロダクトを磨き上げ、日本のキャッシュレス決済、またそれを使用した金融ライフプラットフォームとしての普及を一気に推進することにプロフェッショナルとして情熱を持って取り組み、自ら課題発見し、周囲と協力して新しい価値創出を共に推進する仲間を募集します。 . OUR VISION IS UNLIMITED_ We dare to believe that we do not need a clear vision to create a future beyond our imagination. PayPay will always stay true to our roots and realise a vision (future) that no one else can imagine by constantly taking risks and challenging ourselves. With this mindset, you will be presented with new and exciting opportunities on a daily basis and have the opportunity to grow and reach new dimensions that you could never have imagined. We are looking for people who can embrace this challenge, refresh the product at breakneck speed and promote PayPay with professionalism and passio ▼PayPay金融戦略本部の紹介 Introduction to the PayPay Financial Business Strategy Division PayPayをNo1のFintech企業に。という全社のミッションを達成するため、PayPayアプリの上でお金にまつわるすべて（「つかう」以外に「ためる」「ふやす」「かりる」「そなえる」「かんりする」）のユースケースを創り上げていく実行部隊です。 スマホファーストな金融サービスのUIUXを発明していくことにもなりますので、大手金融機関での新規事業開発を経験されていた方や、海外での新規事業に携わっていた方、データ領域で専門性を持っている方など経験やスキル・視点は様々なメンバーで構成されています。現状の金融サービスをより良くしていきたいという強い情熱を持った人と一緒に働きたいと思っています。 ◎組織構成：現在の金融戦略本部は20代後半～40代後半の総勢50名ほどで構成されております。部内に10名弱のデータアナリスト、データサイエンティストも所属しています。 To achieve the company-wide mission of making PayPay the No. 1 fintech company, we are the execution team responsible for creating all aspects of money-related use cases ("use," "save," "increase," "borrow," "prepare," "manage") on the PayPay app. As we inventing smartphone-first financial service UI/UX, our team consists of members with diverse experiences, skills, and perspectives, including those with experience in new business development at major financial institutions, involvement in new business ventures overseas, and expertise in the data field. We seek individuals with a strong passion for improving current financial services and are eager to work with people who share the same enthusiasm. Organizational Structure: The current ◎Financial Business Strategy Division consists of about 50 members ranging from their late twenties to late forties. The department includes nearly 10 data analysts and data scientists. ▼関連コンテンツ ▼募集の背景 Background of Recruitment PayPayはNo1のFintech企業を目指し、新しい金融の在り方を世の中に発信していきます。 そのためには、AI・データ活用組織としての成熟も不可欠であると考えています。それは、今後の世界で全てのユーザーにより良い金融体験を提供するためにAI技術は必ず中心的な役割を果たすためです。 機械学習技術を活用したこれまでのプロジェクトの例として、2024年3月26日に提供を開始した「PayPay資金調達」があります。今後も、AI・データ関連技術を活用し、より良い、新しい金融体験を提供していきます。 しかしながら、ミッションクリティカルなシステムの中枢にAI技術を使うにあたって、AIシステムには多くの要件が求められます。ビジネス要件を満たし、機械学習タスクにおいて高いパフォーマンスを示すだけではなく、「お金」や「ユーザーデータ」を扱うシステムとして高い信頼性が求められます。特に、不確実性の高いAIシステムの信頼性を保証することはチャレンジングな課題です。MLOpsの実践をはじめとして、新しい金融事業を支えるAI・データ活用基盤の立ち上げと成熟化に熱意をもって取り組んでいただける方に来ていただきたいと考えています。 ※入社時の所属部署は「金融戦略本部」になり、まずはそこでご活躍頂くことを想定していますが、その後のキャリアについてはご希望に合わせて検討させて頂きます。 PayPay aims to become the No. 1 fintech company and disseminate new financial approaches to society. To achieve this, we believe that maturity as an AI and data utilization organization is essential. AI technology will play a central role in providing better financial experiences for all users in the future world. An example of projects utilizing machine learning technology is "PayPay Shikin Chotatsu" launched on March 26, 2024. We will continue to utilize AI and data-related technologies to provide better and new financial experiences. However, using AI technology in the core of mission-critical systems requires meeting many requirements. Not only must it meet business requirements and demonstrate high performance in machine learning tasks, but it also requires high reliability as a system handling "money" and "user data." Ensuring the reliability of AI systems with high uncertainty is a challenging task. We seek individuals who are enthusiastic about launching and maturing AI and data utilization platforms to support new financial businesses, starting with MLOps practices. Although your department will be in the Financial Strategy Division, we would like you to play a broad role in PayPay in the mid- to long-term, and we will consider future transfers or dual assignments in accordance with your wishes. ▼具体的な業務内容 Position Details 機械学習エンジニアとして、AI・機械学習技術を活用しPayPayやグループ各社における金融サービスの開発を加速する役割を担っていただきます。（テックリード相当） As a machine learning engineer, you will play a role in accelerating the development of financial services at PayPay and group companies using AI and machine learning technologies. (Equivalent to Tech Lead) • 機械学習を活用した金融サービスの製品化に向けて、社内のエンジニア・データサイエンティストのチームとともに開発を行います。プロジェクト初期のビジネス要件定義・jupyterなどでのプロトタイピングフェーズから参画し、製品化に向けた本開発フェーズに向けて機械学習エンジニアの視点でプロジェクトを円滑に進めます。, • ビジネス上の問題解決のためのソフトウェア要件および、機械学習システム特有の品質要件を定義し、チーム開発方針を決定します。, • コードレビュー、テストなど、効率化・品質向上のために必要な開発者文化を自ら推進し、チームや会社全体に根付かせます。また、単一のプロジェクト・単一のチーム活動にとどまらず、PayPayにおけるMLOpsの成熟度を継続的に高めるべく、主体的に活動します。 Responsibilities include but are not limited to: • Collaborating with internal engineers and data scientists to develop financial services utilizing machine learning., • Defining software requirements for solving business problems and quality requirements specific to machine learning systems., • Promoting a developer culture for efficiency and quality improvement, such as code reviews and testing, and actively working to enhance the maturity of MLOps at PayPay beyond individual projects or teams. ▼本ポジションの魅力 Attractiveness of the Position • 6300万人を超えるユーザー、410万を超える加盟店により良い金融体験を提供するためのサービス開発を経験できる, • 自分しか持っていないデータ、自分たちしか経験できないビジネス課題に関わることができる, • AI活用組織のグロースに中心的立場で携わることができる, • ビジネス開発部門に所属しながら、ビジネス、データサイエンティスト、データアナリスト等多様な専門性をもつメンバーや他部署のメンバーと密に連携するため、コミュニケーションスキルや視野の広がりが得られる, • Experience in developing services to provide better financial experiences for over 63 million users and more than 4.1 million member stores, • Involvement in data and business challenges unique to PayPay, • Central role in the growth of an AI-powered organization, • Opportunities for collaboration with members of various specialties and other departments while belonging to a business development department, allowing for communication skills and broader perspectives, • Pythonを利用した製品開発経験, • パッケージ管理、テストツール、Linter等を用いたチーム開発経験, • 主要なデータ処理、機械学習ライブラリの利用経験, • チームリード経験（5～10名程度以上）, • MLOpsに関する経験・知見, • MLパイプラインのアーキテクチャ設計, • ワークフローエンジンに関する知見、特にMLシステムのワークフロー管理の経験, • クラウドサービスを利用した開発経験, • 日本語でのコミュニケーションが可能であること（日常会話レベル以上）, • Experience in product development using Python, • Experience leading teams (approximately 5 to 10 members), • Experience and knowledge of MLOps, • Development experience using cloud services, • Japanese language skill (daily conversation level or above), • 機械学習ライブラリ、OSSへのコントリビューション経験, • 社内MLOps基盤の開発経験, • 機械学習・データサイエンス関連分野での研究経験、または論文などの再現実装の経験, • データサイエンス・コンピュータサイエンス関連分野での学位, • ビジネス英語力 (TOEIC 800点以上), • Contributions to machine learning libraries and open-source software, • Development experience with in-house MLOps platforms, • Research experience or implementation of papers in machine learning/data science fields, • Degree in data science/computer science-related fields • Business English proficiency (TOEIC score of 800 or higher), • ___に当てはまる方 雇用形態 • 正社員 勤務地 • 原則在宅勤務（自宅もしくはサテライトオフィスにてリモートワーク）, • 全国居住可能 勤務時間 • スーパーフレックス制（コアタイム無し）, • 原則：午前10時～午後6時45分（実働7時間45分＋休憩時間 1時間） 休日 * 土日祝日、年末年始および会社指定日 休暇（法定休暇および会社福利厚生） • 年次有給休暇(初年度14日間、入社月に応じて按分付与。入社日から使用可） 給与 • 年俸制（一部固定残業代含む）, • 経験、スキル、業績、貢献度に応じ当社規定により決定, • 毎年1回見直し, • 会社業績および個人貢献度により特別一時金（インセンティブ）を支給（年1回） 時間外勤務手当、深夜勤務手当、在宅勤務手当（年10万円）有 ベネフィット • 社会保険（健康保険、厚生年金、雇用保険、労災保険）, • 企業型確定拠出年金制度 Other Information:

The foundation of the modern global economy is built on a dense network of counterparty trust and risk. In the past 50 years, companies have evolved from relying on a couple of wholesalers and vendors, to utilizing 100+ SaaS vendors, contract partners, and cloud providers. Since each counterparty has their own idiosyncratic internal processes and risk profiles, businesses end up spending millions of dollars and countless man-hours conducting due diligence. Coverbase’s mission is to streamline this business-to-business assessment, reducing human toil, and allowing organizations to work together safely and reliably. We employ modern AI techniques to organize vast amounts of unstructured data and compare them against policies to identify key risks to the business. We serve customers across Fortune 500 companies in insurance, higher education, and finance — including five of the top 25 banks in the US. Our proven leadership team brings deep experience: * Clarence (CEO): Co-founder & former CTO of Unit21, a Series C fraud detection company that has raised ~$92M. * Kao (CTO): Previously led the Stripe engineering team that launched Banking-as-a-Service. We’ve raised $20M from world-class investors and our team of 20 have built important products at Google, Mapbox and Waymo. We’re looking for our Founding Platform / Infra Engineer – a strong software engineer first. You can design, build, and evolve the systems, tooling, and infrastructure that make every other engineer more effective at Coverbase. This isn’t a traditional DevOps or SRE role. You’ll be hands-on in code, but thinking in systems: how services are deployed, observed, scaled, and supported as we grow. You’ll lay the technical foundations that let us move fast and stay stable. * Manage and evolve our infrastructure — from compute and storage to networking and deployments. * Improve system observability by defining and monitoring service health metrics, ensuring we can see and understand how our systems perform in real time. * Enhance our CI/CD and deployment utilities to make releases faster, safer, and more reliable. * Contribute directly to developer experience and velocity by smoothing workflows, refining automation, and improving the overall developer journey. * Bring a builder’s mindset: ship pragmatic, stage-appropriate systems that scale with us. We’re looking for folks who care not just about their work, but the people around them — we’re building a team that’s as kind as they are talented. Day to day, you’ll: * Scale infrastructure using repeatable, environment-aware patterns for safe staging, preview, and production rollouts. * Enhance reliability by defining service health metrics, improving alerting, and leading incident response + postmortems. * Strengthen access hygiene by championing least-privilege defaults, secret rotation, and cleaner permission boundaries. * Improve observability by building actionable dashboards and alarms, and creating light daily/weekly system health signals to keep the team oriented. * Improve release safety through progressive delivery and automated post-deploy checks. * Boost developer velocity by optimizing CI/CD workflows and documentation. * Support communications by incorporating a lightweight status/incident update path customers can trust. * Lead foundational projects as our analytics and batch workloads grow – setting standards for scalability and foundational developer resources Success looks like a platform that’s predictable, observable, secure by default, and fast to iterate on. * 4+ years of professional software engineering experience, ideally including platform, infrastructure, or systems work. * You have strong software engineering foundations — you’re fluent in your dev environment, confident with git, write and review clean code, and debug systematically. * You’ve built, deployed, and operated production systems end-to-end. * Experience with: * Languages: Python, TypeScript * Infra & IaC: AWS or GCP, Terraform/Pulumi, Docker, ECS/EKS * CI/CD: GitHub Actions * Observability: CloudWatch, Sentry, Fullstory * Security & Ops: IAM, secrets management, vulnerability remediation * Pragmatic, curious, and comfortable in the ambiguity of an early-stage startup. * Excited to build systems for other engineers, not just manage legacy infrastructure. * Experience working in a seed to Series C startup as the first Platform / Infra Engineer. * Located in the San Francisco Bay Area and willing to go back into the office in a Hybrid model once the physical office opens. * Experience working with founders and leadership team regularly. * You’ll define how we build, ship, and scale software as we grow — from scratch. * You’ll act as both architect and builder, blending SWE depth with system intuition. * You’ll collaborate closely with CTO, CEO, leadership regularly as well as product engineers, helping them move faster and safer. * You’ll shape not just infrastructure, but engineering culture. Strong product addressing a latent market demand: Our AI-driven platform is transforming third-party risk management (TPRM) for top-tier financial institutions. Customers describe it as “revolutionary” and “a joy to work with,” and we’re just getting started. Here’s what some of our customers had to say about our product, unprompted: * “This is a revolutionary product… Coverbase is the single biggest step forward in TPRM I’ve seen in my career” * “You’re flipping the entire program upside down, we completed the risk assessment in 1.5 days… would otherwise have taken at least 3 weeks” * “Love how responsive you are, it’s been a joy to work with you guys” Early-Stage Impact: This is a rare opportunity to shape the trajectory of a company at the forefront of AI innovation. Your work will directly influence our success and define how we grow. Collaborative Team: Join a tight-knit, mission-driven team that values kindness, creativity, and curiosity as much as expertise. You’ll work closely with the founders and an exceptional group of engineers. * $170K to $240K base depending on experience and ability * Meaningful founding team equity. * Health insurance (100% employee / 80% dependents). * 21 days PTO. * In-person gatherings within the U.S. (travel covered) every 3-5 months. We’ll give plenty of notice for it, and cover flights and accommodation. We expect you to attend! * 401(k) with 4% matching. Location: Remote from the Continental US Reports to: CTO, Co-Founder Coverbase Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

statistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogrammingAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: Join our customer's team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. You will leverage your expertise in statistics, mathematics, and programming to tackle challenging data problems, ensuring clean, robust, and insightful analyses. This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear communication and innovative thinking. Key Responsibilities: • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis., • Develop, validate, and implement statistical models to extract actionable insights from complex data., • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement., • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders., • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery., • Continuously improve analytical methodologies and automation processes to enhance data workflows., • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: • Expertise in statistics, mathematics, and data analysis techniques., • Proven experience in collecting, handling, and cleaning large, complex data sets., • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling., • Strong data modeling skills with experience in building and validating predictive models., • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries., • Meticulous attention to detail and commitment to data quality at every stage., • Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: • Experience working in a remote, cross-functional, or customer-focused team environment., • Background in developing and deploying machine learning solutions in production settings.

Photonics Design Engineer – Early Stage Startup Ayo is a venture-backed early-stage startup that will radically re-define how humanity performs compute for AI. Our photonic processors will provide orders of magnitude improvement in speed and power efficiency in comparison to conventional digital compute platforms by taking advantage of the natural parallelism, speed and energy efficiency of light. We are seeking a photonics design engineer to serve as a core team member who will be among the first employees of the company. The engineer will expand Ayo’s component library in Ayo’s custom InP platform; design, analyze, and test photonic circuits and sub-circuits; and support the electronics / systems teams to design and bring-up prototypes. As a core member of the photonics team, they will participate in all phases of the design-tapeout-test-analyze cycle. The ideal candidate has strong fundamentals in integrated optics, experience designing and laying out integrated optical devices or systems, and has a desire to explore the limits of what is possible in an exciting new integrated optics platform. Responsibilities: • Design/optimize integrated optical components, • Lay out test circuits for optical components, • Collect and analyze test data from test circuits, • Develop and maintain models of components, informed by underlying physics and measured data, • PhD in optics, electrical engineering, physics or related field with a focus on integrated photonics, • Experience designing, simulating, and testing integrated photonic devices, • Experience using commercial simulation tools (such as Ansys/Lumerical, Tidy3D, Rsoft or similar), • Has taped out at least once, • Experience with script-based device/circuit layout, • Experience designing and laying out photonic integrated circuits, • Experience probing/testing photonic integrated circuits

Job Type: Term (Fixed Term) Position Description RAND's ___, part of the Global and Emerging Risks (GER) Division conducts cutting-edge research on transformative, high-impact technologies-including artificial intelligence and biotechnology-to shape policies that protect global security and advance the public good. You will be responsible for managing significant research budgets and personnel, overseeing complex technical research and policy analysis projects, and leading multidisciplinary teams of policy researchers, engineers, and scientists. Your team will build systems to evaluate how AI models perform across the full attack lifecycle, including resource development, initial access, discovery, lateral movement, and defense evasion. Your projects may include developing benchmarks for fully autonomous operations using scaffolding and tools, as well as uplift of both novice and expert humans. Such benchmarks may involve environments like CTF challenges, frameworks for assessing ability to reason over attack graphs and conduct multi-stage operations, assessment of stealth and defense evasion capabilities, and benchmarks for ability to conduct time-sensitive operations at machine speed. Many of your evaluations will be commissioned directly by relevant government agencies, and the results of your evaluations will drive responsible AI policy across the world. Your team will communicate findings through detailed technical analyses, evaluation frameworks, and quick-turnaround policy briefs. Your work will inform analysis delivered to senior government and industry leaders. This position is structured as a two-year appointment with options to renew and explore opportunities for longer-term employment at RAND thereafter. RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As a Research Lead - AI Cyber Testing & Evaluation, you'll maintain that excellence while engaging with some of the most pressing challenges of our time. Qualifications All research positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity. Required: * 6+ years of technical experience in security engineering, software engineering, firmware engineering, hardware engineering, or related fields * 6+ years of technical management experience, including leading cross-functional teams, managing project budgets, and mentoring and developing team members * Demonstrated ability to successfully lead complex projects to completion * Proficiency in Python, Java, C/C++, or other popular programming languages * Experience with red team operations or offensive cyber capabilities development * Ability to develop rigorous and comprehensive ___ and identify potential system vulnerabilities * Strong ability to communicate effectively in English, both verbally and in writing * Ability to work effectively in a collaborative, multidisciplinary environment * Fluency with MS Office suite Preferred: * Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive Operator Training (RIOT), Future Operator Readiness Growth and Enrichment (FORGE), or equivalent experience * Understanding of ___ (APT) tactics, techniques, and procedures (TTPs) and experience with defending against them * Ability to think creatively about offensive and/or defensive techniques and strategies, beyond compliance with existing regulations * Experience working on AI research, ML model training, or model deployment Education Requirements RAND is hiring a Research Lead at either the specialist or expert level of experience. Minimum education requirements at the specialist level include: A PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar with at least 3 years of relevant professional experience is required. OR A Master's degree in the fields listed above with at least 6 years of relevant professional experience, is required. OR A Bachelor's degree in the fields listed above with at least 8 years of relevant professional experience, is required. Master's or PhD preferred. Security Clearance Ability to obtain and maintain a U.S. government clearance is preferred but not required. Location We are hiring for this position in San Francisco, CA; Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work will also be considered. Writing or Code Sample Either a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, master's thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains. Term This position is a 3-year term appointment with a possibility of renewal, alongside options for longer term employment. Salary Range: $146,200 - $261,400 Visiting Technical Specialist = $$146,200 - $211,900 Visiting Technical Expert = $167,300 - $261,400 RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.Successful candidates will be offered employment in a specific title, as determined by the candidate's education and experience. The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more. Equal Opportunity Employer

Are you ready to build America's energy future? Form Energy is an American manufacturing and energy technology company. We're revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what's possible, we're giving clean energy a whole new form! In recent years, Form Energy has earned a number of accolades, including being named by TIME as a "Best Invention", MIT Technology Review as a "Top Climate Tech Company To Watch", and Fast Company as "One of the Next Big Things In Tech". We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia. Working for Form Energy is more than just a job, it's a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing - might be the most exciting moment in the company's history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better. Feeling energized to make a meaningful impact on the world? Then keep reading - you've come to the right place. The Data Platform team is responsible for building and maintaining common, cloud-based software and data infrastructure used across the company. This includes everything from our Snowflake data warehouse, to the K8s (EKS) clusters used to run our software, to the streaming platform that processes telemetry data from our product in the field. The team is also increasingly responsible for defining and executing on our AI platform roadmap. This role will work closely with lab, plant software, and field operations teams to help generate insights and expedite cycles of learning by improving access to data and building powerful internal applications and services. Relocation assistance is available. * Build upon our lab, factory, and field data pipelines to meet evolving user requirements while maintaining data quality and reliability * Build, review, and optimize data models/transformations in our data platform using tools like dbt and PySpark * Lead the development and maintenance of existing or new internal data applications * Work with our partner teams across Form to define and formalize key metrics used across R&D, product engineering, and manufacturing * Work closely with other Software teams to ensure that data are consistent across sources downstream services. This will be in an environment where schema migrations are frequent for existing data sources, and new sources are regularly introduced * Act as a collaborative member of a distributed software engineering team; this includes participating in an on-call rotation * Minimum 8+ years of professional experience as a software or data engineer working on a production codebase * Excellent python and SQL skills; experience working with web frameworks like FastAPI or Flask, and data engineering libraries like dbt, Dagster, and PySpark * Fluent in git and familiar with common AWS services like S3, EC2, and RDS * Strong command of SDLC; experience preparing TDDs and/or RFCs desired * Experience working with OLAP and time series databases like Snowflake, Databricks DBSQL, Clickhouse, and/or InfluxDB * Working knowledge of electrochemistry and/or electrical systems is highly desired but not required * Curiosity, creativity, and tenacity when it comes to problem solving #LI-Onsite #LI-TR1 Humanity is a cornerstone of Form Energy's culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here. When it comes to you and your family's health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed. To build America's energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs. If you may require reasonable accommodations to participate in our interview process, please contact . Requests for accommodations will be treated with discretion. Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process. Compensation Range: $147,959 - $194,218

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

Valinor is a new type of defense and government tech company focused on solving the problems others don’t. Our unique model of centralized go-to-market and decentralized engineering allows us to move with unparalleled efficiency to identify unmet needs, build right-sized solutions, and get products where they matter most - in the hands of users. Unlike others in the space, who focus on the flashy problems, Valinor exists to solve the quiet, unaddressed problems–the small but significant ones that lead to cracks in the country’s strength, stability, and security. Backed by General Catalyst, Founders Fund, and Friends & Family Capital, Valinor was founded in 2024 and has established strategic partnerships with Palantir, Anduril, and Helsing. We are building the dream team, and we want you on it. We're building defense and aerospace technology that has to actually work — in the field, under compliance constraints, across hardware and software simultaneously. To do that, we need someone who can build and own the internal systems that make every team faster. You'll be the person who looks at a broken workflow, whether it's a hardware test pipeline, a supply chain process, a deployment bottleneck, or a security gap and builds something that fixes it for good. You'll tie together hardware, software, cloud infrastructure and AI tooling into a cohesive internal platform that Valinor's product companies run on. You'll work across every subsidiary in the portfolio, embedded with engineering and ops teams, and you'll have wide latitude to choose the right tools and build the right systems * Embed directly with product companies across the Valinor ecosystem — you're not working from a distance. You'll sit with engineering and ops teams at each subsidiary, understand how they actually work, and build solutions shaped around their real constraints and workflows. Your impact is visible and direct. * Turn what you learn in the field into lasting infrastructure — when you identify a broken process or a gap that's slowing a product team down, you own the fix end-to-end. You're not writing a recommendation and handing it off; you're building the thing and shipping it. * Be the connective tissue across hardware, software, supply chain, and DevOps — you'll frequently be the person who sees that teams are solving adjacent problems in isolation and builds the integration that makes them work together. That cross-functional view is one of the most valuable things you'll bring. * Own internal infrastructure end-to-end — cloud environments (Azure, AWS, GCP), edge deployments, and the pipelines that connect them. You set it up, you keep it running, you make it better. * Build the internal developer platform — CI/CD pipelines, GitHub Actions workflows, artifact management (JFrog), containerization (Docker/Kubernetes), and the tooling that lets engineers ship faster and safer. * Automate hardware test pipelines and logging — build systems that capture, store, and surface data from hardware testing across embedded and physical systems. Make test results traceable and repeatable. * Wire together supply chain and inventory workflows — integrate procurement, parts tracking, and inventory systems into the broader engineering and ops stack so nothing falls through the cracks. * Build continuous security automations — STIG checks, FedRAMP control validation, vulnerability scanning, and compliance reporting shouldn't be manual processes. Automate them. * Bring AI into internal workflows — identify high-leverage opportunities to use LLMs and AI tooling to accelerate engineering, ops, and compliance work. Build and deploy those tools internally. * Own government accreditation deployments — manage the deployment process for software delivered to government environments, ensuring we meet IL5, FedRAMP, and STIG requirements at every step. * 3+ years of real-world experience building and operating production systems — ideally across more than one domain * A builder mentality: you've owned systems over time, not just handed them off after initial setup * Strong scripting and automation skills in Python and/or TypeScript * Hands-on experience with CI/CD (GitHub Actions), containers (Docker/Kubernetes), and cloud platforms * AI is part of how you work you use it daily for coding, debugging, and documentation, and you've built AI-powered workflows for real internal use cases (compliance reporting, code review, log triage, security automation, etc.) * You can build with AI APIs end-to-end LLM integration, prompt engineering, orchestration frameworks. Not an ML engineer, but a builder who ships AI-powered tools * Comfort working across the stack and learning fast * Some exposure to hardware-adjacent workflows (test data, embedded systems, firmware pipelines) is a strong plus * Familiarity with government compliance environments (FedRAMP, IL5, STIG) or a strong appetite to learn them * You work well with ambiguity — a lot of what you'll build doesn't have a spec yet * Eligible to obtain and maintain an active U.S. Secret security clearance * Competitive salary, equity packages, and benefits, including health, dental, and vision insurance - fully covered for employees, 401K, development stipends, among others. * Unlimited PTO and two-week company holiday at the end of every calendar year. * We are a pro-mental health and pro-family company - we actually encourage employees to spend time with themselves and their families. Valinor also provides fertility benefits to those just beginning that journey. * Fun work environment - we like to laugh and take care of each other, but we also deeply respect the mission in front of us. * Headquartered in Washington DC with additional coworking spaces throughout the country. We also host team offsites and colocations around the U.S. This role requires the candidate be eligible to obtain and maintain a U.S. security clearance at the SECRET level. Valinor is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Valinor team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense and government technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you!

We are currently hiring Python Developers. As a Python Developer, you will be responsible for developing and maintaining Python-based applications. • At least 5 years of relevant experience as a full stack developer, • Extensive experience with Python Django and ReactJS, • Highly experienced with SQL databases, • Highly experienced with CI/CD pipelines, • AWS hosting and support (at least 1-year experience in S3, EC2, RDS), • Develop, unit test and support applications using Python or C#., • Excellent problem-solving and debugging skills, • Strong communication and collaboration abilities, • Experience and desire to work in a Global delivery environment. Zone IT Solutions is Australia based Recruitment Company. We specialize in Digital, ERP and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic and flexible solutions will help you source the IT Expertise you need. Our delivery Offices are in Melbourne, Sydney and India. If you are looking for new opportunities your profile at or contact us at 0434189909 Also follow our ___ page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We welcome applicants from a diverse range of backgrounds, including Aboriginal and Torres Strait Islander peoples, people from culturally and linguistically diverse (CALD) backgrounds and people with disabilities.