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Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Staff Program Manager to own the Services Business Process Automation (BPA) function — the digital backbone of our Services organisation. BPA runs the Service Lifecycle Management (SLM) platform, the Business Intelligence and reporting layer, and the integration of our business applications with customer IT/OT ecosystems — all operating within the corporate IT governance framework. This is a strategic, hands-on ownership role. You will define and own the BPA program and roadmap, lead cross-functional platform deployments end to end, and connect corporate digitalization strategy to on-the-ground Services execution. You will work closely with Services leadership, product and corporate IT, and external technology partners. WHAT YOU’LL DO: - Define, own, and continuously evolve the BPA roadmap: SLM platform strategy, BI architecture, process-automation priorities, and customer IT/OT integration. - Translate corporate digitalization objectives and Services business priorities into a structured, time-phased program with clear milestones and resource plans. - Lead cross-functional software deployments and platform integrations from requirement scouting to hypercare, applying Agile (Scrum/Kanban) and structured PMO practices. - Own the program-governance framework — risks, dependencies, change control, escalation, and steering-committee reporting — and track schedule, budget, adoption, data quality, and SLA impact. - Champion the Services Lean First KPI framework and ensure BI reporting reflects real operational progress across the whole Services organisation. - Manage vendor relationships, program budgets, and build-vs-buy-vs-integrate decisions for new BPA tools and platforms. - Act as the strategic interface between Services leadership, product leadership, and corporate IT — simplifying complex technical realities into clear business narratives for executives. WE’RE LOOKING FOR: - 8–12+ years in digital/IT program management, with a track record of leading large-scale CRM, SLM, or ERP deployments. - Proven success managing complex cross-functional programs in mechatronics, industrial automation, robotics, field service, or advanced manufacturing. - PMP, PRINCE2, or equivalent program-management certification; Agile (SAFe, Scrum Master, or Kanban) is a strong plus. - Solid understanding of CRM and SLM platforms, BI architectures, and enterprise integration patterns. - Experience holding full budget accountability for digitalization programs. - Elite stakeholder communication — able to build consensus across diverse functional and executive stakeholders. NICE TO HAVE: - Exposure to humanoid robotics, cobots, or other advanced-technology industries. - Familiarity with service benchmarks in relevant industries. - Experience introducing BI as a shared intelligence layer across a multi-team organisation. - PMO tooling proficiency (MS Project, Jira, Smartsheet, or equivalent). WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer. Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally. Responsibilities: Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners Minimum Qualifications: Proficiency in Python, SQL, and data analysis tools Experience building or operating fraud, risk, or abuse detection systems in production Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders Preferred Qualifications: 8+ years of industry software engineering experience, with a focus on payments fraud or risk Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) — and why chargeback rate thresholds carry existential stakes Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior In-House Repair Technician the deepest hands-on repair capability in our Services Repair Centre. You will perform complex repair, rework, and full overhaul/restore on parts, sub-systems, and full robots, and deliver approved upgrades to existing units. You will also be our forensic-analysis specialist, determining root cause and supporting warranty decisions in both directions. This is a senior, hands-on role. You will act as a “flying doctor” at customer sites for the most difficult interventions, help author the work instructions the rest of the team follows, and mentor Associate and Advanced technicians. WHAT YOU’LL DO: - Perform complex repair, rework, and full overhaul/restore on parts (SRUs), sub-systems, and full robots. - Deliver approved upgrades to existing robots and parts. - Lead physical troubleshooting and forensic analysis when Remote Services cannot localise a fault, determining root cause and supporting warranty determination (supplier claims, proof a fault was not caused by Humanoid…). - Act as a flying doctor at customer sites for the most difficult on-site interventions. - Partner with Product Services Engineering and the Training team to author clear, low-skill work instructions. - Mentor Associate and Advanced technicians and contribute to the skills matrix and the unified career path across In-House, Remote, and Field roles. - Own refurbishment throughput and quality for the most complex part families, and certify work to specification. WE’RE LOOKING FOR: - Mechanical/electrical technician training plus ~5+ years of hands-on repair experience, with deep specialisation. - Proven ability to overhaul and restore complex electromechanical systems and full robots to specification. - Strong forensic troubleshooting skills — you find root cause and can defend a warranty determination with evidence. - Ability to author work instructions and mentor other technicians. - Rigorous quality, certification, 5S and health-and-safety discipline. - Willingness to travel for on-site interventions. NICE TO HAVE: - Experience with humanoid, legged, or advanced robotics hardware. - Familiarity with calibration, metrology, and test/certification requirements for precision mechatronics. - Exposure to failure-analysis methods and supplier-quality / warranty processes. - Experience setting up or scaling a repair or refurbishment operation. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Remote - United Kingdom Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Security Engineer, Incident Response About the job The Security Incident Response Team (SIRT) is looking for a Security Engineer who is passionate about solving Twilio’s mission of security and reliability by working across the organization to lead the technical response to security events and incidents across Twilio’s global infrastructure, services and applications by effectively conducting triage, containment, remediation and driving post-incident betterments.  You will work within a team that partners with R&D Engineering and R&D Business teams to develop scalable processes and technical solutions. You will be a valued member of a team of deeply technical Security Engineers to focus on creating bespoke and standard Security response processes, enhancing our capabilities for threat mitigation and incident response, and then automating as much as you possibly can (and more)! You will help us to grow our global, scaled team and program. Responsibilities In this role, you’ll: Lead and support the response to all security events and incidents across Twilio’s complex global infrastructure, services and applications. Be responsible for documentation of incidents and projects you work on and craft best practices as runbooks and standard operating procedures to share knowledge across teams. Work cross-collaboratively to understand and help solve challenges related to a broad spectrum of threat actors and activity. Work to improve Twilio’s security and reliability posture by driving identified betterments from security events and incidents. Rapidly acquire new technical skills and knowledge in a fast-paced, highly disruptive industry environment. Own the security incident lifecycle, respond to incidents and participate in on-call rotation and participate in RCAs for security incidents. Build, cultivate, and maintain positive relationships with internal customers to identify and facilitate solutions to increase the impact of the team’s work. Provide mentorship, support, and care for the team in a way that enables long-term career development, happiness, and success at scale. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Proven experience: 3+ years of security incident response in a production-cloud environment Subject-matter expert on security issues and technologies Ability to utilize AI for comprehensive, complex security incident response activities delivering high fidelity detections Advanced knowledge of service-oriented architectures, as well as experience with security tools and technologies fit for a cloud environment Experience working across a technology stack on difficult security challenges and initiatives Experience with SIEM platforms and the ability to extend their functionality Experience with SOAR tools and automating manual security processes Experience in either AWS, GCP, or other large cloud platform Excellent written and verbal communication skills Ability to influence and build effective working relationships with every level of the organization. Desired: AI Model Security & Posture Management: Support Implementation of  controls and safeguards to prevent AI vulnerabilities, such as prompt injections, model evasion, and data poisoning AI-Driven Threat Response: Utilize GenAI and LLM-based security use cases to rapidly interpret alerts, reduce false positives, and contextualize threat data Artifact & Evidence Triage: Collects intrusion artifacts and forensically sound images to analyze malware, trojans, and source code. Threat Intelligence Integration: Monitors external vendor data and threat intelligence to analyze trends and proactively defend against emerging risks. Location This role will be remote, and based in Ireland or U.K. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Hybrid - Washington D.C Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. About the Program: Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role: As the QA/Evaluation Lead, you'll own quality and evaluation across the platform. You'll design the evaluation framework that measures whether our data services and outputs meet the bar, build repeatable test and validation processes, and give the team an objective read on readiness at each milestone. Partnering with the Delivery Owner and engineering leads, you'll turn quality from an afterthought into a measurable, demonstrable strength. It's a role for someone who thinks rigorously about evaluation and takes pride in evidence-backed quality. Key Responsibilities: Design and own the inter-annotator agreement (IAA) methodology for the Phase 1 demonstration corpus — metric selection (Cohen's kappa, Fleiss, Krippendorff's alpha), sampling design, adjudication workflow, and agreement thresholds Define evaluation framework architecture: test and evaluation plans, IAA targets, drift detection gates, and model performance metrics per SOW Section 2.9 Configure and operate sampling-based quality control across the self-service and white-glove annotation paths during Phase D corpus production Design and implement confidence-threshold escalation routing from automated annotation to senior-annotator adjudication Validate quality scoring and IAA computation within the Innodata data layer Support AI Solutions Engineer on evaluation design for SAM 2 and Frontier model API validation — define what 'good enough' looks like quantitatively Produce evaluation framework documentation for the Phase 1 NPP closeout package, including per-DataCard documentation with the SA Must-Have Qualifications: Bachelor's degree in Statistics, Data Science, Computer Science, or related quantitative field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis. 6+ years total professional experience, 4+ years in data quality, evaluation methodology, or QA on AI/ML programs IAA methodology expertise — Cohen's kappa, Fleiss' kappa, Krippendorff's alpha: hands-on, not theoretical Evaluation framework design for AI/ML training data programs QC process design: sampling methodology, escalation workflows, adjudication protocols Python for QC tooling, metric computation, and statistical analysis Active Secret clearance with TS/SCI eligibility Nice-to-Have Qualifications: Prior DoD or IC data quality program experience CVAT or equivalent annotation platform QC workflow configuration Drift detection and model monitoring methodology Experience with FMV / video annotation quality standards The expected hourly salary range for this position is $45 to $50 p/hour, based on experience, skills, and qualifications. Note to Candidates: This role is not a project manager with QC responsibilities — it is a methodology expert who owns the intellectual framework behind data quality on a federal AI program. The right candidate can walk into a meeting with Government evaluators and explain exactly why the evaluation design produces trustworthy labels. That conversation is part of Phase 2 positioning. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Application Security team secures the systems that build, serve, and increasingly are Claude — and as Anthropic's footprint grows, that mandate now extends to companies and codebases we bring in from outside. This role establishes that function. You'll own security due diligence and secure integration for Anthropic's acquisitions — assessing a target's security posture pre-close, writing the security risk readout for leadership, and after close, bringing acquired systems up to Anthropic's bar. Security has been part of every deal to date, but this is the first dedicated role for it: you'll formalize the playbook, the risk model, and the tooling, and make them repeatable. This is an AppSec role first. You'll be an active member of the Application Security team — same rituals, same on-run rotation, same tooling, working alongside engineers securing Anthropic's own agentic product surfaces. The expectation is the same too: we use Claude as our primary tool, and you're expected to automate the repeatable parts of diligence and integration as you go, so each acquisition is easier than the last. When deal flow is quiet, you'll pick up core AppSec project work; when it's active, M&A is your priority. We're upfront that the center of gravity here is M&A rather than core product security. It's burstier, more assessment-heavy, and operates on confidential, time-sensitive work. If you like parachuting into an unfamiliar codebase under time pressure and turning it into a clear risk picture for leadership, this is that job. Key responsibilities Lead pre-close security due diligence on prospective acquisitions — coordinate external penetration testing, threat-model the target's architecture, assess security controls, and deliver the security risk readout for leadership ahead of close and integration planning Drive post-close security integration — stand up static and dynamic analysis coverage on acquired codebases, track high- and critical-severity remediation to closure, fold acquired assets into bug bounty scope, and onboard repositories to Anthropic's automated vulnerability remediation and reporting systems Coordinate adjacent security engineering teams (supply chain, cloud, corporate security, detection & response) on their portions of each integration Work across a wide set of stakeholders on every deal — corporate development, legal, security leadership, and the engineering teams inheriting acquired systems internally; engineering and security counterparts at the target company externally — translating between them and keeping the security workstream legible to all of them Formalize and scale Anthropic's M&A security playbook — risk-scoring model, diligence runbook, integration checklist — and turn as much of it as possible into Claude-powered tooling rather than manual process Share the team's operational on-run rotation (bug bounty escalations, launch consults, incident response), swapping out during periods of active deal work Contribute to core AppSec projects between deals — secure design reviews, threat modeling for agentic systems, and the team's security automation roadmap Minimum qualifications Hands-on application and infrastructure security experience, including cloud and containerized environments Demonstrated ability to rapidly assess an unfamiliar codebase or architecture and produce a clear, prioritized risk assessment for a non-security audience Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems Comfort operating with high autonomy, ambiguity, and tightly-held confidential context Clear written and verbal communication across varied audiences — executives, legal and corporate development partners, and engineering counterparts at an acquired company Preferred qualifications 7+ years in application security, security consulting, or security architecture Prior M&A security due diligence, third-party security assessment, or technical due diligence experience Experience standing up or scaling SAST/DAST, bug bounty, or vulnerability management coverage across multiple codebases Track record of building security automation or tooling rather than relying solely on manual review Familiarity with using LLMs as a core part of your security workflow Experience securing agentic, code-execution, or LLM-integrated systems Representative projects Point Anthropic's internal LLM-driven code analysis and AI-assisted scanning at an acquired repository nobody here has seen, and turn the output into a prioritized remediation plan in days rather than weeks Design the risk-scoring framework Anthropic uses to compare security posture across acquisitions of different shapes and sizes Build the automation that onboards an acquired codebase to Anthropic's vulnerability dashboard, dependency auto-patching, and bounty scope without a human running a checklist Write the security risk memo for a live deal and present it to corporate development and security leadership The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA ABOUT COLUMN For companies building financial technology and transforming the financial services space, the biggest bottleneck to their growth and innovation is often the underlying banks and infrastructure stack they rely on. We have spent our careers founding and scaling companies like Plaid, Square, Meta, Blend, and Affirm, and have seen this problem firsthand — builders and developers needing to partner with traditional banks, and creating API and abstraction layers over the patchwork that is the bank, its core, and many other vendors. All of this results in a complex (and often expensive) banking supply chain involving a user, fintech, BaaS middleware provider, bank, core and the Federal Reserve. At Column, we set out to simplify and fix this. We are a bank and a software company built from the ground up, offering builders and developers technology-forward banking solutions that cut out the hundreds of vendors, middleware providers, and abstraction layers. This means a safer, more transparent, and less costly banking supply chain. Come build with us! THE OPPORTUNITY Column is hiring for a Digital Assets Compliance role to define, build, and operate Column's compliance framework for its crypto products. The GENIUS Act and other federal guidelines have started to clarify how banks can provide digital asset services. Against this backdrop, Column is looking for someone to support the ongoing development of practical systems that protect the bank while enabling innovation. This isn't a box-checking compliance role. We need a builder who understands that compliance done right is a competitive advantage — it unlocks partnerships, accelerates product velocity, and builds trust with regulators. You'll work directly with our product, engineering, and risk teams to manage systems that scale, not just procedures that look good on paper. If you have experience building programs and tooling, and monitoring and analyzing cryptocurrency transactions using best-in-class blockchain investigations tools, we want to talk to you. What this role is: This role will serve as a subject matter expert with deep specialization in digital assets compliance. You'll be embedded within our financial crimes team, developing the Bank's standards for monitoring and controlling the AML and sanctions risks inherent in the bank's stablecoin infrastructure, payment rails, and crypto-enabled banking products. What this role is NOT: This is not a securities or broker-dealer compliance role. Many crypto compliance professionals to date have focused on securities regulations for trading platforms and custodial services, but we're not looking for expertise in custody, capital markets, or investment products. We need someone who understands the AML and sanctions tooling and controls for payments, and how digital assets interact with traditional payment systems — not someone who's spent their career navigating SEC rules for crypto exchanges. This position will report directly to the Bank's Chief Compliance Officer, and the individual in the role must be willing to work in person in our Presidio-based office in San Francisco (3-4 days/week). WHAT YOU’LL DO OPERATE COMPLIANCE INFRASTRUCTURE - Operate the AML/BSA monitoring capabilities for stablecoin and crypto payment products in accordance with the GENIUS Act and Bank Secrecy Act requirements and the Bank's existing AML program - Refine and maintain a comprehensive sanctions compliance program for digital assets, including blockchain analytics, wallet screening, and sanctions risk management specific to crypto payment flows - Expand our existing suspicious activity monitoring and sanctions screening tools and processes to blend digital asset-specific workflows - Develop, test, and tune new blockchain monitoring rules - Own monthly metric reporting on stablecoin-specific activity - Build out stablecoin-specific operational policies and procedures - Stay on top of emerging risk trends in digital assets and update the program accordingly SUPPORT BUSINESS GROWTH - Serve as the primary AML subject matter advisor to product and engineering teams building the stablecoin infrastructure - Translate regulatory requirements into concrete technical specifications (e.g., "we need the ability to freeze tokens within X minutes of receiving a court order") - Conduct compliance reviews of new product features and partnerships before launch - Partner with our bank compliance team to ensure our crypto program integrates seamlessly with Column's existing BSA/AML framework - Provide guidance on due diligence evaluation requirements for customers using stablecoin rails - Respond to RFIs from partners on our stablecoin compliance program DEVELOP AND RUN OUR CRYPTO INVESTIGATIONS PORTFOLIO - Perform extensive investigations related to transaction monitoring and screening that could implicate potential money laundering, fraud, or terrorist financing - Prepare and document triage investigations and their dispositions according to FinCEN/FFIEC expectations and Bank procedures - Review transaction and wallet screening reports for potential OFAC violations and report potential true positives to the BSA Officer - Draft RFIs to partners and monitor for response - Establish lines of communication and recurring meetings with partner compliance teams - Refine investigation procedures based on operational learnings - Build out our incoming and ongoing training program for crypto investigations and crypto broadly WHAT YOU’LL NEED TO BE SUCCESSFUL - 4-5+ years of experience in financial crimes compliance, with at least 3 years working on digital assets, crypto, or blockchain-related compliance; must include some experience in investigations - Expert knowledge of BSA/AML requirements and how they apply to digital assets under existing regulatory and industry standards - Strong understanding of stablecoin mechanics, blockchain technology, and crypto payment flows - First-principles thinker who can design robust systems from scratch, not just operate existing playbooks - Strong technical aptitude — comfortable working with engineering teams to build compliance into product architecture - Comfortable operating in ambiguity and making risk-based decisions with incomplete information - High EQ and strong stakeholder management skills; can build trust with regulators, auditors, and internal teams WHAT YOU’LL GET FROM US: - 🏥 Comprehensive health, dental, and vision plans, including options that are 100% covered by Column for you and 100% covered for your dependents! - 🐣 Comprehensive family planning and fertility benefits via partnership with Carrot, including reimbursement of up to $20,000 in qualified expenses - 🏡 Up to $2,000 (post-tax) monthly rent subsidy for employees living within 2 miles of Column’s office - 💳 FSA and HSA account options to enable use of pre-tax money for medical and dependent care expenses - 📈 401k plan, including self-directed brokerage options - 🌴 Flexible time-off policy - take the time off that you want and need to relax and recharge - 🧳 Sabbatical Program - reach your 5-year anniversary to take up to 8 weeks of fully paid leave to rest, recharge, and pursue personal interest - with full salary and benefits - 👶 100% paid parental leave, including 16 weeks for birth mothers, 12 weeks for primary caregivers, and 8 weeks for secondary caregivers - 😇 Up to $4,500 in annual reimbursements for backup childcare - 🍽️ Catered lunches and dinners for SF employees - 🚆 Commuter benefits, including paid transportation to-and-from the office - 🎉 Regular team building events, including annual offsite PAY TRANSPARENCY: Compensation packages at Column include base salary, equity, and benefits. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers. The annual base salary range for this role is $130,000 - $170,000 + equity. WE LOOK FORWARD TO HEARING FROM YOU Column is committed to working with the best and brightest people from the broadest talent pool possible. We value bringing together a team with different perspectives, educational backgrounds, and life experiences, and believe a diversity of ideas is what allows us to develop the best solutions. All qualified individuals are encouraged to apply. If you need assistance or a reasonable accommodation during the application and recruiting process, please reach out to accommodations@column.com. We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here https://e-verify.gov.

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the Role... We are hiring for Android Engineers at various levels, and below you can find more information about the teams we're hiring for: Math Progress: The Math Progress team builds the experiences that connect Duolingo's math lessons into a cohesive learning journey. We help learners find the right content by improving how they navigate topics, grades, and the course path, and we make their learning progress visible through mastery signals, scored reviews, and personalized practice. The team works cross-functionally and experiments rapidly to help learners build momentum and continually strengthen their math skills. Long-Form Learning: The Long-form Experience team owns Stories and DuoRadio, Duolingo’s immersive reading and listening experiences that help learners understand real-world conversations. You’ll build engaging, interactive experiences that help learners apply their language skills. We’re also building a brand new long-form session from 0 to 1, and you’ll play a key role in bringing it to Android 🧠  You will... Collaborate on software projects with product design and backend aspects Develop, release, and maintain native Android application features in Kotlin Mentor and set technical direction for junior engineers on the team ✅  You have... A Bachelor’s degree in Computer Science or a related technical field Programming experience in Kotlin on Android The ability to communicate technical issues effectively to technical and non-technical stakeholders ⭐  Exceptional candidates will have... Strong programming experience building reactive Android apps Demonstrated self-direction, with a desire both to learn new techniques and mentor others Experience designing clean and maintainable APIs Experience writing unit tests and testable code The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $153,000 — $207,000 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Ciudad de México, Mexico Workplace: on-site We are the first interest-free and no-annual-fee credit card in Mexico, designed to simplify personal finances and give users complete control through a mobile app. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and access to modern financial products. As we continue to scale, we are looking for a Vendor Operations Manager to own relationships and operational processes with our external partners and service providers. We are looking for a Vendor Operations Manager to join the NOVACARD Risk Tech team. In this role, you will be responsible for coordinating external service providers, maintaining operational relationships with partners, monitoring service quality and costs, supporting integrations, and ensuring the continuity of critical business processes. You will work closely with Risk Tech, Product, Operations, Finance, Customer Support, Compliance, and external vendors to ensure that our external services operate reliably, efficiently, and cost-effectively. Vendor & Partner Management Own day-to-day communication with external vendors and service providers Coordinate incident resolution and follow-up activities with partners Track SLA compliance and service performance Organize operational reviews and regular follow-up meetings Escalate critical issues and drive resolution Coordinate contract renewals and vendor-related operational activities External Services Operations Coordinate operational processes related to credit bureaus, KYC providers, fraud prevention services, identity verification solutions, banking data providers, and other external partners Support onboarding of new vendors and services Coordinate testing and validation activities for new integrations and changes Maintain operational documentation and process runbooks Ensure business continuity for vendor-dependent processes Reporting & Regulatory Processes Coordinate periodic reporting processes with external organizations and bureaus Prepare, validate, and submit required files and reports Monitor report quality and resolve discrepancies Maintain documentation and supporting evidence required for audits and compliance requests Cost & Billing Management Monitor service usage and operational costs Validate invoices and vendor charges Reconcile billing discrepancies with providers Support budgeting and forecasting activities related to external services Incident Management Coordinate investigation of incidents involving external providers Collect logs, examples, and supporting evidence Communicate with vendors during production incidents Track corrective actions and post-incident follow-up activities Drive resolution of recurring operational issues Cross-functional Coordination Work closely with Risk Tech, Product, Operations, Customer Support, Finance, Compliance, and Data teams Coordinate implementation of process improvements and automation initiatives Ensure alignment between business requirements and vendor capabilities Requirements Native or fluent Spanish English B2+ (written and spoken) 3+ years of experience in fintech, banking, payments, lending, or technology companies Experience managing external vendors, partners, or service providers Strong stakeholder management and communication skills Experience coordinating operational processes and production incidents Advanced Excel or Google Sheets skills Strong analytical and problem-solving mindset Ability to manage multiple priorities in a fast-paced environment Strong attention to detail and process ownership Nice to Have Experience working with credit bureaus, KYC providers, fraud prevention solutions, identity verification platforms, or financial data providers Experience in lending, credit cards, digital banking, or fintech products Basic SQL knowledge Experience working with APIs and technical integrations Experience validating invoices and vendor billing Familiarity with Jira, Confluence, Notion, or similar tools What We Offer Opportunity to work on a fast-growing fintech product in Mexico High ownership and direct impact on critical business operations International and collaborative environment Competitive compensation package Professional growth opportunities within Risk Tech and Operations Exposure to leading fintech, KYC, fraud prevention, and credit bureau partners

Location: Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA About the role The Infrastructure Engineering organization comprises three sub-teams: Core Infrastructure (which manages the infrastructure systems that power Chime, including AWS, Networking, Kubernetes, Terraform, and Observability), Infra Platform , and Data Infra (which provides infrastructure support for the Data Engineering organization). This role is on the Core Infrastructure team , where we manage the Infrastructure components that power Chime and make sure our members are able to use Chime products reliably. This includes our Cloud operations, Observability layer and Compute layer. In this role, you can expect to Automate everything, including scaling, monitoring, and operations. Build tools to enable self-service both within the team and across all of Chime engineering. Tooling is written in Ruby on Rails and Go Lang. Design, build, and support Chime's cloud infrastructure using automation and infrastructure-as-code. Adapt new technologies to make Chime run as efficiently and reliably as possible. Partner with product development engineers to build services according to modern design patterns; for example, the 12 Factor App methodology. Develop strong relationships with engineers, managers, and other colleagues based on trust, empathy, and technical expertise. Be a constant advocate and adopter of AI tools and evangelize agentic AI workflows in a way that is safe and reliable. To thrive in this role, you have More than 2 years of cloud and Infrastructure experience Strong development experience in Ruby on Rails and Go Lang. Previous professional experience in a DevOps/SRE/ProdEng role supporting customer-facing web services. Previous success in enabling effective partnerships and strong communication with other engineers and teams. Experience managing Kubernetes clusters cloud hosted or self hosted. Experience building and managing highly-available public cloud infrastructure and services, with an emphasis on stability, scalability, and security. Experience using configuration management and infrastructure-as-code tools, including maintaining Terraform modules. Experience supporting relational or no-SQL databases, message buses, caching services, and other common service components. Familiarity with common monitoring, logging, and observability platforms. A positive attitude, a collaborative mindset, and a focus on the customer. Experience with some of this tech - AWS services, Kubernetes, ArgoCD, Datadog, Terraform #LI-WW1 #LI-Remote Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $133,000 — $184,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior or Staff Software Engineer to join our Data Engineering team based in London. As the Data Platform Team, we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. We’re looking for experienced Engineers to help build our data platform from the ground up. You’ll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future. WHAT YOU'LL DO - Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities. - Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale. - Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow. - Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms. - Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. - Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health. - Establish and uphold best practices for data management - versioning, access control, security, and compliance. WHAT WE'RE LOOKING FOR - 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them. - Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load. - Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution. - Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. - Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. - Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts. - Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance. - Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off. - Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have - ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers. - Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. - Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. - BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders. - Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers. - Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Larnaca, Cyprus This is an onsite role, and we're seeking someone who will work directly from the client's office in Nicosia. Relocation conditions: A 2,000-euro relocation bonus (3,000 euros if relocating with family). This project focuses on enabling enterprise grade AI and GenAI capabilities across banking systems by implementing robust MLOps practices and cloud native infrastructure. The goal is to standardize how AI models are deployed, monitored, and governed in a secure and compliant way. Design and maintain CI/CD and MLOps pipelines for AI/ML solutions. Deploy and operate AI workloads on Azure Machine Learning, Azure OpenAI, AKS, Azure Functions, and Azure DevOps. Automate infrastructure using Terraform, Bicep, or ARM templates. Implement secure deployment practices: RBAC, Key Vault, managed identities, private endpoints, network isolation. Set up monitoring, logging, alerting, and operational support for AI services and model endpoints. Support model versioning, release management, rollback, and production governance. Work closely with data scientists, AI engineers, cloud architects, security, and banking IT teams. Ensure solutions meet banking standards for security, auditability, resilience, and compliance. 7+ years of DevOps, Cloud Engineering, Platform Engineering, or related experience. Strong experience with Azure DevOps, CI/CD pipelines, Git, YAML, and release management. Experience with Azure Machine Learning and/or MLOps platforms. Practical knowledge of Azure OpenAI, GenAI applications, or AI service deployment. Experience with Docker, Kubernetes, and AKS. Experience with Infrastructure as Code: Terraform, Bicep, or ARM. Good understanding of monitoring tools such as Azure Monitor, Application Insights, Log Analytics, Grafana. Scripting skills in PowerShell, Python, or Bash. Experience working in regulated enterprise environments, preferably banking, fintech, or insurance. Experience with RAG pipelines, prompt orchestration, MLflow, or Prompt Flow. Knowledge of Microsoft data platforms: Databricks, Synapse, Data Factory, Microsoft Fabric, Purview. Understanding of AI governance, model risk, data privacy, and audit requirements. Experience with Microsoft security tools such as Defender for Cloud or Sentinel.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship for claude.ai , Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. We're looking for an experienced engineering leader to lead a team of Connectivity engineers based in London. The Connectivity team spans San Francisco and London, and you'll work closely with engineering leadership and partner teams in San Francisco to set direction and deliver together across both sites. You'll lead a team working on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that stays up when partner servers don't. Key responsibilities Lead a team of engineers building the connectivity infrastructure that powers tool use across Anthropic's product suite, from the MCP proxy to OAuth and token management Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team Coach, mentor, and provide career development guidance to your direct reports, helping them set and achieve their professional goals Partner with Connectivity engineering leadership in San Francisco, along with product, security, and platform teams, to define the team's roadmap and create clarity for the team in an ambiguous and evolving environment Drive cross-team and cross-org alignment to ship work that spans claude.ai , Claude Code, Cowork, and the API, working effectively with teams primarily based in the US Establish and drive adoption of engineering best practices within your team, including the operational rigor (on-call, incident response, postmortems) required for infrastructure that other teams and external partners depend on Contribute to engineering-wide initiatives as a member of Anthropic's engineering management team Minimum qualifications Experience managing software engineering teams, including hiring, coaching, and performance management A technical background in backend or platform engineering, with the depth to guide architectural decisions and engage credibly in technical discussions Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale Excellent communication skills, with the ability to build consensus across teams and time zones Demonstrated success building a culture of belonging, and of product and engineering excellence Preferred qualifications 3+ years of experience as an engineering manager Familiarity with MCP or experience contributing to open standards or open source ecosystems Experience leading teams that collaborate closely with distributed or cross-timezone partner teams Familiarity with authentication and authorization concepts such as OAuth, token management, or identity systems Experience building or operating API gateways, proxies, or multi-tenant platforms Experience building for enterprise customers, including admin controls, governance, and compliance requirements Experience working on AI/ML products or agentic systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £255,000 — £325,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Greenwich, Connecticut, United States; New York, New York, United States iCapital is seeking a Senior Vice President, Head of Managed Accounts and Model Portfolio Delivery to lead the packaging, development, and commercialization of the firm’s model portfolio and separately managed account (SMA) capabilities. This individual will be responsible for defining and scaling the operational infrastructure to support inclusion of alternative investments via model portfolio and managed account solutions across wealth management channels. This is a senior leadership role requiring deep expertise across portfolio implementation, advisory platform capabilities, product development, defining technology requirements, regulatory frameworks, and partnerships with third-party service providers (custodians, UMA vendors, etc.). The role will operate at the intersection of product, investment solutions, distribution, and technology, partnering closely with internal teams and external clients to deliver innovative, scalable portfolio solutions and drive revenue growth. Responsibilities Define and execute the firm’s Managed Accounts and Model Portfolio Delivery strategy, aligning with iCapital’s broader product and platform roadmap. Establish iCapital as a market leader in next-generation portfolio construction frameworks, including public-private allocation models. Lead the evolution of model portfolios, UMA programs, SMA offerings and other managed account solutions, including the integration of alternative investments and private markets. Lead go-to-market strategy for model and SMA solutions across distribution channels. Partner with Sales, Relationship Management, and Platform teams to drive adoption and revenue growth. Identify and develop strategic partnerships with wealth platforms, asset managers, and technology providers. Oversee the design, development, and lifecycle management of managed account solutions. Partner with iCapital’s Research, Technology and Platform teams to develop framework to make models and managed accounts available in various structures, including hosting on third-party platforms and portfolio management systems. Drive innovation in portfolio implementation, rebalancing, reporting, and analytics. Partner with iCapital’s operations team to define the operational framework needed to support managed account solutions. Collaborate with internal stakeholders to ensure solutions meet client needs across RIAs, broker-dealers, wirehouses, and private banks. Guide the structuring of models and managed account solutions, ensuring regulatory alignment and scalability. Partner with legal and compliance teams to ensure all offerings meet regulatory and governance requirements, engagements, including platform integrations, RFPs, and strategic initiatives. Serve as a senior thought leader externally, representing iCapital with wealth managers, asset managers, and industry partners. Demonstrate a deep understanding of financial advisors, client portfolios, and portfolio construction workflows. Gather market feedback to continuously refine product offerings and positioning. Qualifications 15+ years of experience in asset management, wealth management, or financial technology, with a focus on model portfolios, SMAs, or portfolio construction Proven experience building and scaling investment advisory programs, model portfolios, or managed account solutions Strong knowledge of the Investment Company Act of 1940, including registered product structures and compliance considerations Extensive experience with SMA program structuring, UMA platforms, and advisory platform implementation Experience owning or managing alternative investment products or private markets strategies Strong track record of leading go-to-market initiatives and driving revenue growth Deep understanding of portfolio construction and asset allocation, portfolio implementation and trading workflows, model management and customization, performance reporting and analytics Able to operate at a senior level across product, strategy, sales, and technology teams Exceptional communication and executive presence, with the ability to engage internal stakeholders and external clients Benefits The base salary range for this role is $210,000 to $260,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Hybrid - Washington D.C Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. About the Program: Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role: As the Solution Architect, you'll design the backbone of the platform. You'll define the architecture for the data services storefront and own the DataCard governance framework that keeps our data trustworthy, documented, and compliant end to end. Working closely with the engineering team and the Delivery Owner, you'll translate governance and security requirements in a secure federal (IL4) environment into a clean, defensible technical design. It's a role for an architect who cares as much about data stewardship and governance as about elegant systems. Key Responsibilities: Own cross-pillar architectural integrity and interface coordination across the 24-week program Design and stand up the DataCard governance framework: schema design, distribution-statement methodology (DoD Dir. 5230.24), provenance lineage Deploy and configure ZenML multi-cloud orchestration stack per Innodata Layer 2 Multi-Cloud Architecture v3 Design taxonomy engine and sequestration controls architecture Confirm NIST SP 800-53 Rev 5 control split between Innodata data-layer and AFS infrastructure-layer scope Lead platform component run books and per-DataCard documentation in Phase E Coordinate with AI Solutions Engineer on Kubernetes-adjacent data-layer DLP policy configuration Coordinate with Backend Engineer on Databricks write-back schema and DataCard write-back path Must-Have Qualifications: Bachelor's degree in Computer Science, Data Engineering, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis. 10+ years total professional experience, 6+ years in data architecture or platform engineering Databricks, Delta Lake, and MLflow — hands-on implementation experience, not conceptual Data governance frameworks: DataCards, provenance, lineage, distribution statement controls ZenML or equivalent ML orchestration tooling (Airflow or Prefect acceptable; must be willing to ramp ZenML quickly) Working knowledge of IL4/IL5 boundary concepts, NIST SP 800-53 Rev 5, and DoD data classification requirements Active Secret clearance with TS/SCI eligibility Nice-to-Have Qualifications: Prior Innodata or annotation platform architecture experience MLflow model governance and registry hands-on experience Ontology and taxonomy design for AI/ML training datasets DoD Directive 5230.24 distribution statement implementation experience The expected hourly salary range for this position is $70 to $75 p/hour, based on experience, skills, and qualifications. Note to Candidates: This role is the primary technical decision-maker on the program below the Delivery Owner. The SA is expected to make architectural calls independently within the established framework and surface only unresolved cross-cutting decisions to the Delivery Owner. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Hybrid - Washington D.C Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. About the Program: Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role: As the Data/Annotation Engineer, you'll be hands-on with the data itself. You'll administer the annotation toolchain, manage annotation workflows across the corpus, and produce the per-dataset documentation that feeds our governance framework. You'll work with the AI Solutions Engineer to ensure the data going into our models is accurate, well-labeled, and fully traceable. This role is for someone detail-obsessed who understands that great AI starts with disciplined, well-governed data. Key Responsibilities: Receive, validate, ingest, and ontology-map the ODIN mission-aligned corpus from AFS delivery Produce the ODIN load report: corpus description, ontology mapping, readiness state Configure CVAT annotation pipeline against the Phase 1 starter kit rule pack Operate both self-service and lightweight white-glove annotation paths during Phase D corpus production Produce 50–100 label demonstration corpus across synthetic and mission-aligned content Support QA/Evaluation Lead on QC execution and corpus annotation dry-runs Associate DataCard provenance records with annotated and synthetic outputs in coordination with the Solution Architect Must-Have Qualifications: Bachelor's degree in Data Science, Computer Science, or related field preferred. Equivalent experience may substitute for degree on a 2-for-1 basis. 5+ years total professional experience, 3+ years in data engineering or annotation operations CVAT — deployment and day-to-day operation required; this is not a nice-to-have Annotated dataset ingest pipelines: schema mapping, format validation, ontology alignment Full-motion video (FMV) annotation concepts and tooling Python scripting for data wrangling, validation, and format conversion Active Secret clearance with TS/SCI eligibility Nice-to-Have Qualifications: Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis CVAT annotation platform — AI feature configuration and operation DoD or IC data program experience: CUI, distribution statements, federal data governance Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement Video understanding or FMV annotation experience DataCard or ML data provenance framework familiarity The expected hourly salary range for this position is $55 to $60 p/hour, based on experience, skills, and qualifications. Note to Candidates: Phase D corpus production (Weeks 17–19) is the core demonstration deliverable. Candidates must be genuinely comfortable operating CVAT at production quality against a mission dataset under a milestone deadline Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Hybrid - Washington D.C Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. About the Program: Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About this Role: As the Backend/Integration Engineer, you'll build the connective tissue of the platform. You'll develop the data services storefront's backend, stand up ingest pipelines, and implement reliable write-back into our data lakehouse so results flow cleanly across systems. Working alongside the Solution Architect, you'll make sure the platform's components integrate securely and perform under real workloads in a federal (IL4) environment. It's a strong fit for a backend engineer who likes owning integrations and turning architecture into working plumbing. Key Responsibilities: Implement Databricks REST API write-back for labeled outputs, DataCard provenance records, and synthetic content outputs Build and validate the Duality back-end integration: catalog intake form configuration, parameter translation to Duality generation API, async job lifecycle management (submission, tracking, retry, completion), output handling Implement ServiceNow REST integration for white-glove routing intake path Build and maintain storefront backend services (API layer between frontend UI and platform components) Implement DataCard write-back path in coordination with Solution Architect Design and maintain async job queue management and retry logic across all integration surfaces Structure output metadata for DataCard provenance records per DoD distribution statement requirements Must-Have Qualifications: Bachelor's degree in Computer Science, Software Engineering, or related field required. Equivalent experience may substitute for degree on a 2-for-1 basis. 6+ years total professional experience, 4+ years backend or API integration engineering Python backend development — strong, production-grade REST API integration with async job lifecycle patterns (submission, polling, retry, webhook handling) Databricks REST API or strong Spark/Databricks platform familiarity JSON schema design and structured metadata handling Active Secret clearance with TS/SCI eligibility Nice-to-Have Qualifications: ServiceNow REST API integration experience Federal program API integration background ZenML or ML orchestration pipeline familiarity React or modern frontend experience for storefront skeleton support The expected hourly salary range for this position is $75 to $80 p/hour, based on experience, skills, and qualifications. Note to Candidates: The Databricks write-back and Duality integration are the two highest-complexity tasks in Phase B. Candidates should be prepared to discuss async API integration patterns and their approach to retry logic and error handling in federal-data environments during the interview. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Hybrid - Washington D.C Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. About the Program: Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role: As the AI Solutions Engineer, you'll bring the platform's AI capabilities to life. You'll integrate synthetic data generation into the pipeline, stand up and tune the annotation toolchain, and orchestrate reproducible ML workflows that the rest of the team can build on. You'll partner with the Solution Architect and Data/Annotation Engineer to turn raw corpora into high-quality, model-ready data. This role suits an engineer who's fluent across modern AI tooling and enjoys making sophisticated ML infrastructure actually work in production. Key Responsibilities: Configure and validate native AI-assistive features across bundled platform components (Dataset Explorer, DataCard Service, Annotation Platform) Integrate and tune SAM 2 for full-motion video annotation: object tracking, segmentation calibration, confidence threshold configuration Implement Frontier model API integration for synthetic data fidelity validation: prompt engineering, response validation, quality scoring Configure AI-assisted annotation features: confidence scoring, auto-escalation triggers, model-assisted label suggestion Implement ICAM / OIDC authentication integration with AFS identity framework Configure data-layer DLP policies above the AFS-managed DLP infrastructure substrate Configure NiFi FMV codec validation layer (H.264, H.265, MPEG-4) above AFS-managed substrate Validate AI feature integration end-to-end across storefront, annotation platform, and DataCard write-back during Phase C Must-Have Qualifications: Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis. 6+ years total professional experience, 4+ years hands-on AI/ML engineering SAM 2 or equivalent foundation model integration for computer vision or video annotation Frontier model API integration (OpenAI, Anthropic, or equivalent): async job management, quality validation pipelines Python — strong, production-grade; comfortable with ML tooling and data pipeline development Experience configuring AI-assistive features in annotation platforms or ML data tooling Active Secret clearance with TS/SCI eligibility Nice-to-Have Qualifications: CVAT annotation platform — AI feature configuration and operation DoD or IC data program experience: CUI, distribution statements, federal data governance Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement Video understanding or FMV annotation experience DataCard or ML data provenance framework familiarity The expected hourly salary range for this position is $75 to $80 p/hour, based on experience, skills, and qualifications. Note to Candidates: This role does not own infrastructure deployment. The AI Solutions Engineer operates at the AI/ML configuration and integration layer above the infrastructure. Ideal candidate is equally comfortable writing Python integration code and reasoning about model quality — and understands that in a federal data environment, every AI decision needs an audit trail. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .