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Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Product Research Location: Remote, US Compensation Range: $200,000 to $230,000 base plus bonus and equity What You’ll Do: The Huntress Product Research team has the unique honor of waking up every morning knowing we’re going to make hackers regret targeting our partners and customers. As a Principal Product Researcher, we’re looking for someone who wants to pour all of their creativity into building and implementing simple solutions that are disproportionately effective at countering these constantly evolving threats. Competitive candidates have experience managing, deploying, and securing SMB environments utilizing a wide variety of security software, best practices, and automation tools. Familiarity with product management, incident response, social engineering, psychology, education, and managed service provider tools is an additional way to differentiate yourself. As you can imagine, success doesn’t happen in a vacuum. An effective Product Researcher fosters highly collaborative environments between the Product, Engineering, and Security teams to accelerate our mission and secure the 99% of businesses that fall below the enterprise poverty line. This collaboration is needed to produce and prioritize a unified technical vision that ultimately delivers our most impactful features and capabilities. We defend over 5M endpoints for 225,000+ mid-sized and small-business customers, and that number continues to grow each month. Given this market’s tighter budget, it’s not financially feasible to assign human analysts to each client. The Security Operations team addresses this challenge head-on by building and scaling highly automated efficiencies—often lightly augmented by our SOC — that make intruders earn every inch of their access while maintaining affordability and healthy gross margins. Roles and Responsibilities: Identify innovative ways to detect Windows OS threats Develop cross-platform features that leverage telemetry from common OS subsystems such as file system, memory, process, and network activity Research and development of sensor capabilities to provide visibility and detection support for attack techniques across supported Windows OS versions Work collaboratively with internal engineering and detection teams to implement detection logic Identify and evaluate new telemetry opportunities Identify and address gaps in product coverage Respond to product escalations Perform False Positive and False Negative investigations Lead product research initiatives to develop and evaluate security product strategies and technologies Coordinate with Product and Engineering teams to integrate and operationalize solutions developed by Threat Operations teams Applies AI as a practical part of day-to-day product research work to improve the speed, quality, and impact of research outputs Uses AI to support information gathering, analysis, prototyping, and production of clear, decision-useful work products while maintaining accountability for the final output Builds and reuses lightweight prompts, templates, or workflows for recurring research tasks rather than relying on one-off use Develop internal and external technical documentation to educate customers and communicate research findings to adjacent teams about security risks and opportunities Mentor and teach technical expertise to advance the broader community Promote Huntress’ reputation through media interaction, public speaking, CFPs, CTFs, and blogs Qualifications: Expert in Windows OS internals, components, APIs, and design Prior experience with Windows OS kernel coding and device drivers Experience testing EDRs, bypasses, and evasion techniques Comfortable with reverse engineering and using debuggers Proficiency in multiple programming/scripting languages, such as C/C++/C#, PowerShell, and Python Applies AI to improve research quality, speed, and outputs in day-to-day work Commitment to clear documentation of research findings Experience with MITRE ATT&CK matrix, SIGMA, Yara, and Elasticsearch/Kibana What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Remote UK At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are seeking a highly motivated and analytical individual to join our Growth Analytics International team. This team plays a crucial role in conducting research, monitoring performance, and running experiments to develop exceptional products for both consumers and merchants while driving long-term growth for the business. As Affirm continues expanding into new international markets, this role will be instrumental in establishing the operational analytics framework for new launches, beginning with Australia and expanding into future international markets. The ideal candidate will possess strong analytical and problem-solving abilities, a collaborative mindset, an eagerness to learn, and the patience to tackle complex challenges. Our team takes an end-to-end business analytics perspective, partnering across the organization to develop recommendations and solutions that enable the business to successfully execute its growth and profitability strategies. This role requires someone who can combine analytical rigor with business acumen to influence decisions and drive measurable outcomes. What you’ll do Establish and evolve the operational analytics framework for new international markets, ensuring scalable measurement, reporting, and decision-making capabilities as we expand globally. Operate with a business owner mindset by proactively identifying opportunities through analysis and product sense to enhance user experience, growth, and profitability. Own business problems from end to end by translating analytical insights into recommendations and optimization strategies that support business growth, profitability, and operational excellence. Take ownership of the end-to-end analytics process: define success metrics, generate insights and hypotheses, track performance, and create intuitive dashboards and reports that can be easily shared across the organization. Develop scalable analytics solutions and data models. Tackle ambiguous problems by identifying the core hypotheses and designing actionable experiments to validate product-market fit and economic viability. Translate analytical findings into clear and compelling narratives and business cases for leadership to inform decision-making. Spearhead weekly cross-functional metric reviews, collaborating with partners to conduct deep dives into significant metric shifts and suggest actionable steps. Partner effectively across Product, Risk, Finance, Commercial, and Operations to align strategies and execute against business objectives. Foster strong cross-functional relationships and establish yourself as a trusted advisor to team members. Mentor and guide junior analysts to deliver high-impact work that drives business results. What we look for: Passion to redefine the lending and financial industry for the better. Strong understanding of the consumer lending and credit industry, including lending economics, portfolio performance, and credit metrics. Experience supporting international lending markets, particularly Europe and/or APAC, is highly desirable. Demonstrated ability to balance growth objectives with profitability and develop data-driven growth strategies. Bachelor's or Master's degree in a quantitatively rigorous subject area such as statistics, mathematics, finance, or economics. 5+ years of proven success in a cross-functional analytical role. Practical and theoretical knowledge of A/B testing. Experience with SQL and performing statistical analysis using Python. Experience simultaneously balancing multiple workstreams and prioritizing an analytics roadmap. Demonstrated curiosity and a growth mindset, with hands-on experience using AI-powered tools such as Cursor, Claude, or similar assistants to accelerate analysis, automate workflows, enhance problem-solving, and advocate for AI adoption across analytical workflows. Strong interpersonal and communication skills, with the ability to influence both technical and non-technical audiences. Comfortable partnering across multiple cross-functional teams, particularly Product, Risk, Commercial, Finance, and Operations. Ability to think creatively and critically while thriving in a fast-paced, dynamic, and often ambiguous work environment. Willingness to go out of your way to help teammates, with humility and a team-first mindset. Previous experience mentoring and guiding junior analysts. Compensation & Benefits Pay Grade - M Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). GBR base pay range per year: £113,000 - £161,000 Location - Remote UK #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Berlin Office; Poland; Germany; Ireland; United Kingdom; Spain Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. RESPONSIBILITIES - Build n8n's Deal Desk function from scratch, AI- and automation-first: intake, approval workflow, and pricing guardrails. - Advise Sales on deal structure and pricing to protect margin without slowing down the sales cycle. - Maintain a simple set of discount and pricing rules that Sales can apply on their own, without escalating every deal. - Run a monthly and quarterly deal war room to keep deal velocity high, especially around month-end and quarter-end close. - Handle contract redlines and non-standard terms directly, keeping most negotiations out of Legal's hands. - Build a redline clause library of accepted and rejected language, so AI can suggest fallback terms on routine deals. - Automate approvals and quoting in CPQ, and use AI to triage incoming requests and flag which deal changes actually need re-approval. - Own Salesforce data quality and executed-contract hygiene for every deal. - Support Customer Success on non-standard renewal and expansion structuring. - Coordinate security and compliance requests (DPA, SOC 2, security addenda) between Sales, Security, and Legal. - Report monthly on deal desk performance: cycle time, discounting, and exceptions. REQUIREMENTS MUST-HAVES - 📈 Deal desk knowledge: You have in-depth experience developing and operating a deal desk function, not just executing a process someone else fully designed. - 📐 SaaS commercial fluency: You have a strong understanding of SaaS pricing models, revenue recognition and ARR reporting principles, and enterprise contract structures. - ⚖️ Contract negotiation and redlining: You can negotiate and redline order-form-level terms directly with a customer and know when to involve Legal. - 🛠️ CPQ/ Salesforce hands-on: You've configured and operated both a CPQ and Salesforce yourself, not just used what someone else set up. - 🤖 AI-native working style: You default to AI and automation in your own work, with concrete examples of deal or approval workflows you've automated. - 🤝 Stakeholder management: You have outstanding communication skills and can influence and manage complex stakeholders such as Sales, Legal, RevOps, and Finance. NICE-TO-HAVES - 🏗️ 0-to-1 builder: You've spun up a deal desk or similar function from the ground up, defining the underlying processes and policies yourself. - 🔧 Modern CPQ/billing exposure: You've worked with Salesforce CPQ or modern platforms like Hyperline or Solvimon. - 🧩 Product curiosity: You're curious about n8n and ideally have already successfully built a workflow. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Europe Workplace: Remote About Eneba   At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.    About the team   We're a Data team. We gather specialists passionate about data, our mission is to help grow Eneba organization as a data driven decision maker by providing a solid data foundation. We want to foster a healthy data culture across organizations and enable our colleagues to have easier access to necessary data that they require in their day-to-day activities. Our team gathered ML experts who are creating amazing machine learning models. Data analysts provide crucial data insights for teams and data engineers who build cutting edge data pipeline solutions. Responsibilities - Enable efficient data access by creating and maintaining data pipelines. - Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process. - Build data infrastructure from the vast amount of data for analytics, hypothesis testing and company metrics. - Identify, design and implement improvement to internal processes allowing to optimize data delivery, automate manual processes. - Design new and improve current patterns for building data models and implement necessary modifications. Requirements - 5+ years of experience in data engineering or in a similar role. - Extensive experience with Apache Spark using Python for large-scale data processing. - Familiarity with Databricks or similar cloud data platforms (such as Snowflake) would be a significant advantage. - Experience with AWS, Azure, or other Kubernetes platforms is a huge plus. - Must have hands-on expertise with Git for version control and collaboration. - Solid knowledge of SQL, essential for querying and managing relational databases. Salary ranges: 55000-72 000 eur gross annually What it’s like to work at Eneba   *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product.  *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.    *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

Location: Bremen, Germany Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology About the Position The research group of Dr. Sari Sadiya at Constructor Knowledge Labs (CKL) , in collaboration with Constructor University (CU) and Constructor Technology (CT) , invites applicants for Ph.D. student positions in Computer Science with a focus on wearable intelligence, multimodal data fusion, and edge AI . The project investigates how wearable data streams can be transformed into structured knowledge and integrated into a knowledge-grounded digital avatar that supports bi-directional collaboration in education and research. Ph.D. students will work in a highly interdisciplinary environment, combining AI/ML, edge computing, cognitive science, and human–computer interaction . In close collaboration with academia and industry, they will contribute to building privacy-preserving, real-time personalization frameworks while pursuing their doctoral dissertation. About the Program The PhD program is research-centered, emphasizing original contributions in: Wearable data analytics and fusion methods Biomedical data analytics On-device processing and performance modeling Personalization and adaptive reasoning systems AI for Education Doctoral students will also have access to specialized courses in: Artificial Intelligence, Machine Learning, and Edge Computing Advanced Computational Methods and Data Science Cognitive Science and Human-Centered Computing As part of the program, students will collaborate with Constructor Technology to gain first-hand industrial experience, contributing to real-world testbeds and prototypes. Research Focus This PhD position is part of the Wearable Intelligence Project , with two main research directions: Data fusion of heterogeneous temporal streams Designing algorithms to unify multimodal signals (physiological, cognitive, contextual, scheduling, and learning data). Developing pipelines that produce structured insights powering the Agentic Personalization Engine (APE) . On-device data processing & performance modeling Developing models balancing computation, energy, and data flows across wearable, edge, and cloud environments. Exploring feasibility of running compact micro-LLMs directly on wearables . The overarching goal is to create scalable, ethical, and transparent personalization systems that support education and research. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Supplementary €603 mini-job allowance to support parallel part-time employment (optional) Constructor Knowledge Labs actively supports candidates in preparing applications for external funding — doctoral scholarships, foundations, or international mobility grants — and can provide institutional support and references Applicant Profile Mandatory requirements: MSc degree (or equivalent) in Computer Science, AI/ML, Data Science, Cognitive Science, or related disciplines. Strong background in AI/ML, signal processing, or edge computing. Hands-on experience with wearable or multimodal data (e.g., heart rate, EEG, activity, sleep, GPS) . Solid mathematical and computational modeling skills. Proficiency in academic English writing (e.g., reports, papers, theses). Preferred qualifications: Experience with LLMs, multimodal data fusion, or agent-based AI systems . Familiarity with privacy-preserving ML, dynamic consent, and GDPR-compliant frameworks . Demonstrated ability to conduct independent research and collaborate across disciplines. Interest in teaching, mentoring, and applied industrial research. Application Details Deadline : August 31, 2026 Required documents: Curriculum Vitae (CV); Academic transcripts; Letter of motivation outlining research interests and career goals; 2 recommendation letters. Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: Mauritania Bradken is a global manufacturer of custom-engineered products and solutions for the resources sector. Our products operate in some of the toughest mining environments, where performance, reliability and practical engineering support matter. We are seeking an Applications Engineer to support our Mining product lines, with a primary focus on Excavator Buckets, Ground Engaging Tools and Crawler Systems and broader support across for electric rope shovels and hydraulic excavators. This is a hands-on, customer-facing engineering role. You will work closely with customers, Sales, Product Design, Manufacturing and Supply Chain teams to understand site issues, support product performance and help turn field feedback into practical engineering solutions. This is a remote-based role for anyone currently based anywhere in Mauritania, with regular travel to customer sites (approximately 50–75%). About the role As an Application Engineer, you will provide technical support across Bradken’s mining products, from site-based problem solving through to product updates, reverse engineering and product development. You will help capture customer requirements, provide engineering input, support field evaluations and ensure technical information is shared clearly across the business. Key responsibilities · Provide technical support for mining customers and regional Sales teams. · Support product performance reviews, field evaluations and warranty-related technical analysis. · Assist with product design, customisation, reverse engineering and product improvement work. · Prepare solid CAD models, drawings, analysis/simulation inputs and technical documentation. · Work with internal teams to ensure products can be designed, manufactured and delivered to customer requirements. · Support product trials, testing, validation and customer feedback. · Maintain a strong focus on safety, quality, customer outcomes and Bradken’s engineering standards. About you You are a practical Mechanical Engineer (or equivalent) who can work confidently with customers, technical teams and site-based challenges. You bring strong problem-solving skills, sound engineering-based judgement and the ability to communicate technical information clearly. You are comfortable moving between design work, product support and customer-facing conversations. This is a 100% fully remote role and is strictly open to candidates currently residing within Mauritania . Fluency in English is a mandatory requirement as all daily operations, training, and the interview process will be conducted entirely in English. You will bring: · A Bachelor’s degree in Mechanical Engineering or equivalent. · Experience in design, reliability, application engineering or a related technical role. · Experience in mining, construction equipment, fabrications, heavy manufacturing or similar industrial environments. · Product design, product development or project delivery experience. · Working knowledge of 3D CAD and FEA software. · A current driver’s licence and ability to travel locally and regionally. · Fluent in English and French skills are essential and Arabic language capability would be advantageous. Experience with Siemens NX, ANSYS, Siemens Teamcenter PLM or 3D scanning will be highly regarded. Knowledge of surface mining equipment, mine site requirements and MSHA or relevant regional mine hazard training will also be valued. Location & Eligibility : This is a 100% fully remote role. It is strictly open to Mauritanian citizens and legal residents currently residing anywhere within Mauritania. Technical Requirements : Candidates must possess a highly stable, high-speed internet connection and a reliable power source suitable for remote digital work. Why join Bradken This role gives you the chance to stay close to the field, work on real mining equipment challenges and contribute to product improvements that matter to customers. You will be part of a global business where engineering, customer focus and practical problem solving come together. We offer: Safety first environment and mindset Flexible work options Competitive Total Reward Packages Employee Assistance Program for you and your family How we hire : About Our Screening Process As we work with teams around the world, time‑zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation, we may invite candidates to complete a one‑way video screening at a time that suits them.If you require adjustments or an alternative format, we’re happy to discuss this. Before commencing employment , you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.

Location: Zambia Bradken is a global manufacturer of custom-engineered products and solutions for the resources sector. Our products operate in some of the toughest mining environments, where performance, reliability and practical engineering support matter. We are seeking an Application Engineer to support our Mining product lines, with a primary focus on Excavator Buckets, Ground Engaging Tools and Crawler Systems and broader support across for electric rope shovels and hydraulic excavators. This is a hands-on, customer-facing engineering role. You will work closely with customers, Sales, Product Design, Manufacturing and Supply Chain teams to understand site issues, support product performance and help turn field feedback into practical engineering solutions. This is a remote-based role for anyone currently based anywhere in Zambia, with regular travel to customer sites (approximately 50–75%). About the role As an Application Engineer, you will provide technical support across Bradken’s mining products, from site-based problem solving through to product updates, reverse engineering and product development. You will help capture customer requirements, provide engineering input, support field evaluations and ensure technical information is shared clearly across the business. Key responsibilities · Provide technical support for mining customers and regional Sales teams. · Support product performance reviews, field evaluations and warranty-related technical analysis. · Assist with product design, customisation, reverse engineering and product improvement work. · Prepare solid CAD models, drawings, analysis/simulation inputs and technical documentation. · Work with internal teams to ensure products can be designed, manufactured and delivered to customer requirements. · Support product trials, testing, validation and customer feedback. · Maintain a strong focus on safety, quality, customer outcomes and Bradken’s engineering standards. About you You are a practical Mechanical Engineer (or equivalent) who can work confidently with customers, technical teams and site-based challenges. You bring strong problem-solving skills, sound engineering-based judgement and the ability to communicate technical information clearly. You are comfortable moving between design work, product support and customer-facing conversations. You will bring: · A Bachelor’s degree in Mechanical Engineering or equivalent. · Experience in design, reliability, application engineering or a related technical role. · Experience in mining, construction equipment, fabrications, heavy manufacturing or similar industrial environments. · Product design, product development or project delivery experience. · Working knowledge of 3D CAD and FEA software. · A current driver’s licence and ability to travel locally and regionally. Experience with Siemens NX, ANSYS, Siemens Teamcenter PLM or 3D scanning will be highly regarded. Knowledge of surface mining equipment, mine site requirements and MSHA or relevant regional mine hazard training will also be valued. This position is open to Zambian citizens and holders of valid Zambian Permanent Residence permits only. Why join Bradken This role gives you the chance to stay close to the field, work on real mining equipment challenges and contribute to product improvements that matter to customers. You will be part of a global business where engineering, customer focus and practical problem solving come together. We offer: Safety first environment and mindset Flexible work options Competitive Total Reward Packages Employee Assistance Program for you and your family How we hire : About Our Screening Process As we work with teams around the world, time‑zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation, we may invite candidates to complete a one‑way video screening at a time that suits them.If you require adjustments or an alternative format, we’re happy to discuss this. Before commencing employment , you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.

Location: San Francisco, CA 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 team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We're seeking an exceptional Research Scientist to join the team. This role combines deep computational biology expertise with frontier AI capabilities, positioning Anthropic at the forefront of AI-driven scientific discovery. As one of the first computational members of this Life Sciences research group, you'll work on a high-impact team that operates at the intersection of computational and experimental biology. You'll bring broad computational biology experience to bear across the team's projects, driving discoveries from large-scale computational analysis of biological data through to results our experimental scientists can test, and moving flexibly between problems as the science demands. You'll have substantial access to Claude and you'll help establish how computational biology operates at Anthropic. This role offers a unique opportunity to shape how AI transforms biological research. You'll work with some of the world's best AI researchers while tackling problems that matter deeply for scientific understanding and biomedicine. If you're excited about using your computational expertise to make fundamental biological discoveries and guide the development of transformative AI systems, we want to hear from you. Key responsibilities Build, run, and maintain the analysis pipelines that back the team's experimental programs: sequence analysis at petabyte scale, structural bioinformatics, phylogenetic and comparative genomics, design and analysis of high-throughput functional screens, biological sequence modeling, etc. Partner directly with experimental biologists to design experiments that produce high-quality data, and turn results around fast enough to immediately inform the next experiment Draw on the literature and curated biological knowledge bases alongside primary data to generate and prioritize hypotheses for experimental follow-up Stand up and maintain the team's computational infrastructure: data ingestion, workflow orchestration, internal databases, and the interfaces that make all of it accessible to both researchers and AI agents Use Claude and our internal agent frameworks heavily in your own work, and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases Pick up analyses across projects as priorities shift; we're looking for breadth and flexibility over a single deep specialty Minimum qualifications Have a PhD in computational biology, bioinformatics, genomics, biophysics, machine learning, computer science, or a related quantitative or biological field, or equivalent industry research experience Have a track record of computational biology research you have led end to end, from question to result, with evidence of impact (for example publications, preprints, released datasets or tools, or research that changed a program's direction) Have demonstrated breadth across multiple areas of computational biology Are proficient in one or more programming languages used in scientific computing and comfortable working on large datasets in Linux and cloud compute environments Can take an ambiguous biological question, scope the analysis, and produce a result an experimentalist can act on Communicate computational results clearly to both biologists and ML researchers Preferred qualifications Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Are results-oriented, with a bias towards flexibility and impact Hands-on experience in experimental biology, or a track record of designing experiments side by side with experimentalists Experience building tools, pipelines, or agentic systems on top of LLMs, or training models on biological sequence data Deep expertise in one or two areas of computational biology (for example structural biology, metagenomics, single-cell genomics, or protein design) on top of the required breadth 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: $300,000 — $320,000 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: Chicago, NYC DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Trading Operations Engineer you will provide support to a group of trading desks based in Chicago. This is an opportunity to solve challenging problems while working closely with experienced traders, researchers and software engineers to optimize operational workflow and use the right tools and technology for the job. Responsibilities: Provide operational support for several of the firm’s crypto trading desks Trade capture for all products related to the desks’ activity: futures/futures options Trade and position reconciliation with the firm’s clearing houses and brokers Daily P&L calculation and substantiation Working knowledge and experience in derivatives Gain mastery of the firm’s proprietary trade capture, inventory management, treasury management, and risk management systems necessary to support the desks’ activity Act as process owner for current functionality and provide critical support and advice regarding needed enhancements to technology, workflows, and processes: Gain a strong understanding of traders’ risk management tools and provide support for related traders’ needs Upgrade and support traders’ tools to effectively utilize technologies and tools that are firm standard Interface with technology to improve tools where they fall short of meeting the desks’ needs Adopt, integrate, and promote new technology as it becomes available Requirements: Strong interest or working knowledge and experience in crypto Previous experience with Version Control, Git, Python, Cron, Linux 2-3 years of experience in the front office, middle office, back office, or risk management roles working with exchange-traded and over-the-counter products and derivatives Experience working with derivatives is preferred Substantial prior interaction with the front office and senior management in an active trading environment Bachelor’s degree in Computer Science, Engineering, or related STEM field Demonstrated ability to work independently Demonstrated ability to analyze problems and synthesize and implement solutions The annual base salary range for this position is $100,000 to $150,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-TL1]

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is seeking a Security Assistance Analyst to support anticipated programming with the Department of State. This opportunity will provide program analysis, assessment, and trend monitoring in support of Department of State-administered military grant assistance programs. The security assistance analyst will collect and organize program data, design and implement analytical methodologies to capture program trends, develop analytical products to inform programming and budgeting decision-making, and coordinate with stakeholders within the security assistance/security cooperation enterprise. This position is contingent upon contract award. Responsibilities Serve as the primary point of contact with the client, coordinating priorities, communicating progress, managing stakeholder expectations, and ensuring alignment with mission objectives. Analyze Department of State-administered military grant assistance programs to assess trends, risks, opportunities, and implications for U.S. foreign policy and security cooperation objectives. Provide strategic context, regional insights, and operational recommendations to support leadership decision-making, program planning, and resource prioritization. Interpret analytical findings and program data to identify key trends, drivers, and implications, translating complex information into concise, actionable recommendations. Develop analytical products that synthesize security, political, operational, and programmatic insights and implications of program activities. Qualifications Bachelor’s degree and at least five (5) years of relevant experience, or Master’s degree and at least three (3) years of experience in defense or security program analysis, monitoring, and assessment. Ability to obtain a secret security clearance. Experience researching, analyzing, and synthesizing complex political, security, military, and programmatic information into concise reports, briefings, and decision-support products for program managers and senior leaders. Excellent written and verbal communication skills, including experience briefing stakeholders and translating complex issues into actionable recommendations. Proficiency with Microsoft 365 applications, including Excel, Word, PowerPoint, and SharePoint. Preferred Qualifications Active secret security clearance Experience overseeing analytical, monitoring, evaluation, research, data analytics, or decision-support activities, including prioritizing competing requirements and delivering high-quality products under compressed timelines. Demonstrated experience supporting foreign assistance, security assistance, security cooperation, defense, or international security programs. Strong u nderstanding of data architecture, data modeling, data governance, and data quality management principles. Strong understanding of knowledge management principles, repository governance, records management, and information lifecycle management. Demonstrated experience working across multiple offices, stakeholder groups, or functional teams to identify requirements and implement knowledge-sharing solutions. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $80,000 — $120,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Tbilisi, Georgia Workplace: remote Novakid is a #1 online language learning brand for kids in Europe with over 1M students to date. We are seeking a Senior Consumer & Marketing Insights Manager who will bridge the gap between customer and market understanding and business decision-making. The role is accountable for identifying high-value business questions, delivering rigorous research, translating findings into clear recommendations, and ensuring that recommendations receive an explicit decision and accountable handover. Business and functional leaders remain accountable for final tdecisions, resource allocation and implementation. What You Will Do Partner with business leaders to identify and prioritise the customer, market and brand questions most relevant to Novakid’s strategic goals. Design and execute rigorous quantitative and qualitative research, including panel studies, surveys, focus groups and appropriate AI-enabled research methodologies. Analyse and interpret data to produce clear, unbiased and commercially relevant insights. Translate insights into specific recommendations, explaining the expected business opportunity, supporting evidence, risks and proposed success metrics. Facilitate decision sessions with relevant stakeholders and ensure that each recommendation is accepted, rejected or deferred with a documented rationale. Co-create action plans in which every approved recommendation has a named business owner, deadline and success metric. The business owner remains accountable for implementation. Follow up on agreed actions, measure the results of implemented recommendations and capture lessons for future decision-making. Lead a monthly Research Council, sponsored by the CMO, to prioritise research, review findings, make decisions and track the outcomes of previously approved recommendations. How Success Will Be Measured Success will be assessed through: the strategic relevance and methodological quality of the research portfolio; the clarity, timeliness and actionability of recommendations; the percentage of completed projects that result in an explicit business decision; stakeholder satisfaction with the quality of the partnership and recommendations; the percentage of approved recommendations with a named owner, deadline and success metric; the measured contribution of implemented recommendations to conversion, retention, brand performance, customer experience or revenue. The Senior Consumer & Marketing Insights Manager contributes to business impact through better decisions but is not solely accountable for outcomes that depend on implementation by other teams. Who You Are: A senior consumer and marketing insights professional with strong quantitative and qualitative research capabilities. Commercially minded and able to connect customer understanding with business strategy. Proactive in identifying important unanswered questions rather than waiting only for research requests. Able to communicate complex findings clearly and credibly to senior and C-level stakeholders. Skilled at facilitating alignment, surfacing disagreements and obtaining explicit decisions. Comfortable challenging assumptions through evidence while recognising that final business decisions and implementation sit with the accountable business leader. Confident English Speaker We offer… Shape the future of AI-powered education for kids worldwide. 100% remote, flexible schedule. A highly skilled successful team where your decisions have direct impact. A culture of ownership, trust, and learning. Unlimited paid time off. Competitive compensation, bonuses, and stock options — we succeed together.

Location: Poland Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. This role will be based in Poland, and you need to be residing in the country already. As an Engineering Manager, you'll lead software engineers building and scaling critical platforms that power the OLX engineering ecosystem. You'll combine strong people leadership with enough technical depth to guide major projects, shape technical direction, and help the team solve complex platform challenges. This is not a generalist Engineering Manager role. Previous experience leading an engineering team in a Platform environment is mandatory. We need someone who understands what it means to build platforms for other engineers and the unique challenges that come with balancing developer experience, reliability, scalability, standardisation, and team autonomy. You'll capture requirements, shape ambitious but balanced project scope, lead technical initiatives, and partner across teams to solve technical problems and ensure smooth adoption and implementation of platform solutions. Our Platform environment is a mix of software engineering, APIs, distributed systems, infrastructure, DevOps, scalability, and reliability.  We're looking for someone who can operate at both levels: developing people and leading a Platform team, while providing the technical and organisational leadership needed to make the platform successful. What you will be doing: Lead by example and manage a team of talented engineers, providing technical guidance, mentorship, and career development support; Collaborate with cross-functional teams, including data science and data engineering managers, and product managers to define project goals, scope, and deliverables; Drive the end-to-end development process, from design to implementation and deployment, ensuring high-quality and scalable solutions (with controlled cost); Identify and prioritize technical initiatives, considering ROI, scalability, and performance requirements; Implement modern software development practices, including agile methodologies, continuous integration, and deployment, to ensure efficient and effective project delivery; Collaborate with stakeholders to gather and analyze requirements, ensuring that the platform meets customer needs and provides an exceptional user experience; Foster a collaborative and inclusive team culture, promoting knowledge sharing, innovation, and continuous improvement. What you have: Bachelor's or Master's degree in Computer Science or a related field; Track record of proven people management experience (3+ years) focused on developing and growing people; 5+ years of professional experience in software development. Proven experience in designing and developing large-scale, high-traffic systems; Familiarity with microservices architecture and container orchestration (e.g. Docker, Kubernetes, Streaming architectures); Strong knowledge of data structures, and software design patterns; Good understanding and ideally successful application of AI/ML; Experience with modern software development practices, such as agile methodologies, continuous integration, and deployment; Excellent problem-solving skills and the ability to work effectively in a team environment; Proficient in English, with strong verbal and written communication skills. Our benefits: Monthly salary and an annual bonus (20%) Training and conference budget, and free access to Udemy courses A benefits package with 300 points on the Mybenefit platform per month, private medical care provided by Luxmed, Ask Henry services, and much more IP rights’ costs - 60% 100% remote work (as well as the possibility of working from our offices in Poznan and Warsaw) At OLX, we unlock value in our people. We invest in ourselves and each other to reach our full potential. We avoid bureaucracy and empower our teams to innovate; with opportunities, training and leadership behaviors a focus for all. Our commitment to inclusion ensures we listen to a diverse range of voices when making decisions. And, we combine the spirit and agility of a startup with our global scale and the backing of Prosus, one of the largest consumer internet groups in the world. We also unlock value for our stakeholders. We are proud of the positive contribution we make to our planet, by enabling more conscious consumption and helping the world make the most of its limited resources through more efficient trade. And last but not least, we love to unlock value for our customers. Every single month, over 300 million people use our platforms to easily, safely, and conveniently find their perfect home, buy or sell a car, find a great job, sell things they no longer need, or strike a great deal on something they need. And we help thousands of entrepreneurs and businesses find their customers too. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

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. OUR MISSION At Humanoid 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. ABOUT THE ROLE As a Research Engineer on the World Models team, you will build action-conditioned generative models that predict how the world evolves around our robots — future video, proprioception, contacts, and outcomes — from past observations and actions. World models serve four purposes in our stack: a pretrained, physics-aware prior for our VLA policies; an engine for rare data collection, cross-platform transfer, and sim-to-real transfer; a testbed for policy evaluation and testing before hardware; and a future-prediction rollout engine that surfaces what our policies intend to do, for safety and planning. This is a hands-on individual contributor role: you will design architectures, run large training jobs, and validate your models against real fleet data from industrial deployments. WHAT YOU'LL DO - Design and train multimodal world models — video, state, action, and language — using diffusion-based and transformer architectures. - Build action-conditioned video prediction and dynamics models that stay physically consistent over long horizons, including contact-rich manipulation, and serve as pretrained priors for VLA policies. - Develop learned-simulator evaluation: score candidate policies offline, predict real-world success rates before deployment, and roll out policy futures to expose intended behaviour for safety review and planning. - Generate synthetic rollouts and counterfactual experience — including rare events, cross-platform transfer, and sim-to-real transfer — to augment policy training, and measure their effect on downstream task performance. - Establish fidelity metrics and calibration protocols that quantify where the world model can be trusted and where it diverges from reality. - Build data pipelines that turn fleet telemetry, teleoperation logs, and internet-scale video into training corpora for world models. - Run scaling and ablation studies on architecture, data mixture, and context length; communicate findings crisply. - Collaborate with pretraining, RL, and manipulation teams to integrate world models into policy training and evaluation loops. WHAT WE'RE LOOKING FOR - A track record of training large generative models — video, world, or multimodal — with shipped models or published artifacts to show for it. - Deep hands-on experience with modern generative architectures: diffusion models, autoregressive transformers, latent-variable models, or video prediction. - Experience with large-scale distributed training: streaming datasets, checkpointing and state management, debugging numerics and training instabilities. - Strong Python + PyTorch/JAX; you can profile kernels, optimize data loaders, and write maintainable research code. - Empirical rigor: you design careful evaluations, run honest baselines, and document experiments clearly. - Excitement about grounding generative models in physical reality rather than pixels alone. NICE TO HAVE - Experience with world models for robotics or autonomous driving (e.g., action-conditioned video models, learned simulators, model-based RL). - Familiarity with robotics simulators (Isaac Sim, MuJoCo) and sim-to-real considerations. - Experience using world models for policy evaluation or synthetic data generation at scale. - Publications at top-tier deep learning conferences (NeurIPS, ICML, ICLR, CoRL, CVPR) or equivalent open-source contributions. - Experience optimizing generative models for fast inference. 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: 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 Reinforcement Learning Engineer to join our Autonomy team based in London. In this role you will leverage reinforcement learning in both simulation and physical reality to build highly performant and robust manipulation policies. WHAT YOU'LL DO - Train language-vision conditioned manipulation policies via reinforcement learning (RL) in simulation and in the real world. - Construct challenging and diverse suites of manipulation tasks in simulation. - Partner with teleoperations to collect trajectories in simulation for behavior cloning. - Partner with testing and operations to establish real-world RL training pipelines. - Experiment with various ways of bringing policies trained in simulation to the real world. WHAT WE'RE LOOKING FOR - 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. - Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. - Experience solving real problems using reinforcement learning with deep neural networks in any domain. - Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. - You are self-driven, pro-active, communicate efficiently, document experiments clearly and communicate trade‑offs crisply. NICE TO HAVE - Experience with simulators for robotics (Isaac Sim, MuJoCo etc.) - Experience in RL for robotics. - Experience building infrastructure for large-scale RL (e.g. using ray). - Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions. - Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. 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: 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 VLA Pre-training Engineer to join our Autonomy team based in London. In this role you will you will work on all aspects of training capable policies, be it pre-training of a base model on a diverse multi-embodiment corpus of trajectories, fine-tuning a policy to perform a specific task well, curating data collection processes or exploring productive ways to generate and use synthetic data. This is primarily a deep learning-focused role, so we are looking for experience solving real problems using modern neural networks, while experience in robotics isn’t strictly required. However if you don’t have such experience, be prepared that you’d need to familiarize yourself with a new domain quickly.   WHAT YOU'LL DO - Post-train policies via behaviour cloning and RL; own the full loop from data to deployment. - Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage. - Work closely with external partners to ensure steady supply of high-quality pretraining-scale data. - Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes. - Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining. - Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. WHAT WE'RE LOOKING FOR - 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. - Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. - Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. - Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. - Familiarity with modern software engineering practices. - You document experiments clearly and communicate trade‑offs crisply. NICE TO HAVE - Robotics or autonomous driving experience. - Experience applying RL to LLMs or robotics. - Experience with VLA (vision-language-action) models. - Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization). - Publications at top-tier deep learning conferences or equivalent open‑source contributions. - Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open source VLA frameworks. 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: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details Job Title: Speech & Voice AI Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Portuguese (Brazil) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Job reference: #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a high-energy, results-driven Senior Field Marketing Manager to join our Field Marketing team, reporting to the VP, Experiential Marketing. In this role, you will own and scale Garner's field marketing strategy across the western region of the US, designing and executing the in-person programs that build the sales pipeline and accelerate revenue with the audiences who shape where companies send their healthcare dollars: benefits consultants and brokers, HR Benefits leaders, and our strategic partners. This is a high-ownership role for a self-starter. You will run the full program lifecycle, from strategy and sales alignment through execution and pipeline attribution, and you will be accountable for the pipeline those programs generate. Through your efforts, you will directly influence Garner's growth in priority markets and accounts, and help define a repeatable field marketing engine that scales with the company. Where you will work: This role is fully remote and does not require relocation to our NYC headquarters. Because of the significant travel this role requires, you must be based in the Mountain or Pacific time zone and live near a major airport . You should expect up to 50% travel to run events and programs. What you will do: Own the end-to-end strategy, planning, and execution of field programs across the western region of the US, including executive dinners, roundtables, workshops, conferences, and roadshows that engage benefits consultants, brokers, and HR Benefits leaders Build and manage a regional field marketing calendar in close partnership with sales leadership and demand generation, prioritizing the markets, accounts, and formats that will most move pipeline and accelerate deals Own pipeline targets tied to field marketing, and design pre-event, day-of, and post-event engagement strategies that maximize registration-to-attendance conversion and sales follow-through Partner hand-in-hand with sales and BDR teams to build targeted invite lists and drive strong attendance from priority accounts and partners Manage sponsorships, venue and vendor relationships, speakers, and third-party event investments end to end, with a bias toward efficiency and measurable outcomes Track and report on program ROI, pipeline sourced and influenced, and engagement metrics, and bring field insights back to the broader marketing team to sharpen campaigns and messaging Build scalable, repeatable playbooks for field programs that can be replicated across regions, segments, and partners Bring an AI-first mindset to everything you do, using AI to build efficiency, consistency, and collaboration into how field programs are planned and run; Garner is enabling our teams on Claude Code, and you will be expected to put it to work The ideal candidate has: 5-7 years of field marketing experience, including prior field marketing experience at a technology company, with a proven track record of driving pipeline through field programs.; you think in terms of pipeline and revenue, not just attendance (Healthcare, benefits, or HR-tech audience experience is a plus) A highly self-directed, execution-oriented mindset; you consistently deliver quality results on complex programs, create the workflows, standards, and tools the function runs on, and move fast without waiting to be told what to do Strong prioritization and project management skills, with the ability to optimize across speed, cost, and quality and juggle multiple programs, regions, and stakeholders at once without losing the objective Excellent stakeholder skills; you build strong relationships and communicate concisely and compellingly, equally effective influencing sales leaders and collaborating with marketing peers, vendors, and external partners A solid command of the data; you interpret program metrics and pipeline KPIs, extract the signal from the noise, and use it to prioritize the markets and accounts that matter most Comfort with the event and marketing tech stack (Salesforce, HubSpot, Swoogo, or similar), and a continuous drive to improve ROI through better tools, automation, and process Experience using AI to work smarter is strongly preferred; you look for ways to automate the repetitive, raise quality, and scale your impact, and you are eager to grow these skills with us; comfort with Claude Code specifically is a significant plus A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The base salary range for this position is $127,000 - $140,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Product Manager to join our Incentive Experience team. This role will report to the Product Lead for Incentive Experience. This team owns the member-facing experience for paying for healthcare and being reimbursed for care by Garner. In this role, you’ll be given wide-ranging responsibility to shape how Garner incentivizes members to visit top-performing providers, and how we improve the affordability and convenience of paying for healthcare for patients. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Develop the roadmap for Incentive Experience, shaping our strategy and developing new ways to make Garner the most compelling and convenient way to pay for your healthcare Build the operational engine and applications that will enable us to pay $100m+ in reimbursements in 2026 while scaling rapidly and maintaining exceptional quality of service Embed deeply with members, employers, and operational teams to understand their pain points and develop product ideas Drive new product and feature development from ideation to launch Define success metrics for every initiative, ensuring we have the data in place to measure outcomes and rallying the team around what winning looks like and how we get there The ideal candidate has: 3+ years of Product Management experience with at least one role that involved owning and shipping a consumer-facing product or features from discovery through launch and iteration Strong consumer product intuition, with a deep understanding of what drives exceptional user experiences Experience building tools for operational teams at scale, with with a clear-eyed understanding of what makes internal products succeed Exceptional written communication, with the ability to communicate decisions and strategy clearly and concisely to your team, stakeholders, and executive team A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. What you’ll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $180,000 - $205,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .