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Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are currently seeking a Public Cloud Operations Expert to join our Singapore team. You be will responsible for the full lifecycle management of enterprise-level hybrid cloud infrastructure, leading unified orchestration, operations, and cost optimisation of AWS and Alibaba Cloud resources, ensuring high availability, high performance, and compliance. What You’ll Be Doing Cloud Platform Architecture & Operations Plan, deploy, monitor, and maintain AWS services (EC2, S3, VPC, Lambda, EKS, etc.) and Alibaba Cloud services (ECS, OSS, VPC, Function Compute, ACK, etc.). Design highly available, auto-scaling cloud architectures, optimizing network (e.g., Alibaba Cloud CEN, AWS Direct Connect), storage, and compute resource configurations. Monitoring & Incident Management Implement full-stack monitoring and alerting using cloud-native tools (AWS CloudWatch, Alibaba Cloud CloudMonitor) and open-source solutions (Prometheus+Grafana, ELK). Lead critical incident response, perform root cause analysis, and implement preventive measures (e.g., resource contention, misconfigurations, network latency). Cost Optimisation & Resource Management Analyse cloud resource usage, reduce costs via reserved instances, auto-scaling, and storage lifecycle policies (e.g., AWS S3 Intelligent-Tiering, Alibaba Cloud OSS Archive). Establish resource quota management strategies to prevent waste and overspending. Security & Compliance Implement cloud security baselines (security groups, IAM policies, Alibaba Cloud RAM permissions, AWS Security Hub), conduct regular security audits, and remediate vulnerabilities. Design granular access controls using AWS IAM and Alibaba Cloud RAM, and enforce database auditing (e.g., AWS CloudTrail + Alibaba Cloud DAS). Cross-Team Collaboration & Knowledge Sharing Collaborate with development teams to optimize application architectures and provide cloud-native solutions (Server-less, Microservices). Document operational procedures (SOP manuals) and lead internal technical training sessions. What We Look For In You Technical Skills Mastery of core services (compute/storage/network/security) on AWS or Alibaba Cloud, with familiarity in the other platform. Proficient in Linux/Windows system operations and automation tools (Shell/Python/Ansible). Hands-on experience with containerized operations (Kubernetes, ECS/EKS, ACK) and cloud-native technologies (e.g., Service Mesh). Experience Requirements 5+ years of operations experience, with at least 3 years focused on public cloud (AWS/Alibaba Cloud) environments managing 100+ instances. Experience in building cloud platforms from scratch, hybrid cloud architecture design, or large-scale migration projects (e.g., IDC-to-cloud) is preferred. Team Management Excellent team management and communication skills to lead and collaborate with operations, development, testing, and security teams. Certifications & Education AWS Certified SysOps Administrator or Alibaba Cloud ACP/ACE certifications are preferred. Bachelor’s degree or higher in Computer Science, Network Engineering, or related fields. Nice-To-Haves Familiarity with multi-cloud management platforms (AWS, Alibaba Cloud, Azure) or FinOps cost optimisation methodologies. Experience in cloud security practices, including Web Application Firewall (WAF) and DDoS protection (Alibaba Cloud Anti-DDoS Premium, AWS Shield). Exposure to big data/AI operations (e.g., Alibaba Cloud MaxCompute, AWS EMR). Team leadership experience is preferred. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Corsier-sur-Vevey, Switzerland D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Responsibilities: Provide operational support for OT systems in lab and production Support laboratory instruments and manufacturing equipment Ensure system availability, reliability, and compliance (GxP) Perform: Incident resolution Root cause analysis (RCA) Change implementation (change control process) Manage hardware/software lifecycle of OT assets Coordinate procurement of OT-related equipment Act as interface between: Local lab/production users Global IT teams Vendors / equipment suppliers Support validation and compliance activities (where required) Maintain documentation aligned with regulated standards Requirements OT / industrial IT experience (lab systems, manufacturing systems) Understanding of GxP compliance Experience with validation / regulated environments Strong troubleshooting and vendor coordination Knowledge of integrated IT/OT systems IT support / Service Desk / Field Support experience Flexible and team oriented person Experienced working in multinational teams Fluency in English and French (spoken and written) Candidates have to declare Criminal record extract not older than three months Benefits Broad range of activities, tasks, and projects Vouchers (B-day voucher, wedding, and new born surprise) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Competitive salary and various benefits Is IT in your DNA?

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role We are looking for an experienced Senior AI/ML Engineer to spearhead the design, development, and deployment of next-generation AI capabilities for our platform. In this role, you won't just train models in a sandbox—you will architect robust, scalable production systems that integrate predictive analytics, Natural Language Processing (NLP), and Generative AI to solve complex, real-world problems. As a senior member of the team, you will bridge the gap between data science research and production-grade software engineering, while mentoring junior engineers and influencing our AI product roadmap.   Lyra is for you if you: Thrive on working with brilliant teammates to solve complex, meaningful problems Are passionate about making a social impact and supporting people at their most challenging moments Enjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managers Responsibilities Design, train, fine-tune, and evaluate deep learning, classical ML, and foundational GenAI models (LLMs, diffusion models) to drive core product features. Build, scale, and maintain robust ML pipelines for continuous training, evaluation, and real-time/batch inference using modern MLOps frameworks. Collaborate with backend and frontend teams to integrate AI models into microservices, ensuring low latency, high availability, and optimal resource utilization. Architect scalable data pipelines for preprocessing, vectorizing, and ingestion of massive structured and unstructured datasets. Implement rigorous evaluation frameworks for model alignment, bias mitigation, guardrailing, and cost/latency optimization (e.g., quantization, distillation). Provide technical leadership, conduct thorough code reviews, and mentor junior/mid-level engineers on best practices in software craftsmanship and ML engineering. Qualifications 6+ years of experience deploying ML/AI solutions in production environments Ability to write high-quality code in Python Experience building RAG (retrieval-augmented generation) based solutions Experience setting up and maintaining vector databases A strong desire to work on ML/AI based products A desire to learn new technologies quickly A thoughtful approach to balancing quality and deadlines in fast-paced settings Excellent communication skills with a talent for building consensus and alignment Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward Preferred Qualifications Experience defining and using Protobuf messages Experience working with Docker and deploying applications to Kubernetes Experience with relational and low-latency databases Experience working with Celery Experience building RAG (retrieval-augmented generation) based solutions Experience setting up and maintaining vector databases Experience writing production code in Java/Kotlin Experience building solutions on cloud infrastructure, particularly AWS Experience working with highly sensitive data in a healthcare environment "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Senior ML Engineer (ML/AI), you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $143,000 to 197,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.  Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include: *Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) *Lyra for Lyrians; coaching and therapy services *Equity in the company through discretionary restricted stock units *Competitive time off with pay policies including vacation, sick days, and company holidays *Paid parental leave *401K with up to 3% matching *Monthly tech allowance *We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more! We can’t wait to meet you.

Location: New York, NY Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... Over the last few years, Duolingo has expanded beyond language learning into entirely new subjects: Math, Music, and Chess. These products reach millions of daily active users, are growing quickly, and represent a CEO-level bet that Duolingo can become a platform for learning anything. We're looking for a Senior Director of Engineering to co- lead our newest subjects, responsible for building and scaling products ranging from early stages through to some of the company’s fastest-growing initiatives. This is a role for a builder. You'll make decisions about which subjects to invest in, how to allocate engineering resources across bets at different stages, where to continue investing and where to pivot. You’ll partner closely with Product and Design to shape the future of the pillar while building the organization that delivers it. This role is based in our New York, NY office on a hybrid (4+1) work schedule. 🧠  You will... Drive the product and technical strategy across Math, Music and Chess , balancing short-term product impact with long-term strategic goals. Partner strategically with Product, Design, Learning and AI to evolve our strategy, including decisions on when and how to expand to additional subjects. Lead multiple engineering directors and their teams as they tackle some of the most interesting technical challenges in industry: AI-based content creation at scale, neural bots, and Unity-based gameplay. Drive operational excellence across Duolingo’s engineering org , including reliability, performance, developer productivity, and efficient execution at scale. Contribute to Duolingo’s engineering hiring bar and talent systems , playing a central role in hiring decisions, leveling, and organizational design to maintain a high-performance, high-density team. Lead an organization that moves quickly, runs high-quality experiments, and translates product insights into measurable business impact. Build and develop a strong leadership bench capable of bringing ambitious new products to market. ✅  You have... Experience leading consumer product engineering organizations (100+ engineers), ideally across multiple high growth product experiences. Product instincts and experience partnering closely with senior product leadership to define strategy, not just execute against it. A track record of driving measurable impact on business outcomes , including growing early product development through significant company scale. Experience building or scaling LLM-powered product features, with a strong interest in building engineering cultures that embrace AI-first ways of working. Deep experience building and scaling high-velocity, experiment-driven product organizations , leading through multiple layers of leadership (senior directors, directors, EMs). A track record of building high-performance, inclusive teams, and making thoughtful, high-judgment talent decisions. Ability to influence senior executives and drive clarity in ambiguous, cross-functional situations . Ability to work from our New York, NY office on a 4+1 hybrid work schedule. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $296,000 — $444,000 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As the Engineering Manager for Baseten's Cloud Platform team, you will directly manage a team of cloud platform engineers responsible for building the systems and processes that keep our infrastructure scalable, reliable, and efficient — from automated deployments and monitoring to performance optimization and incident response. You are a people-first leader with a strong cloud infrastructure background. You set a high bar for reliability and operational excellence, engage credibly in technical discussions and code reviews, and know how to build a culture of ownership and accountability. You'll spend most of your time close to the work: unblocking your team, shaping technical direction on day-to-day decisions, and developing your engineers. At Baseten, we work closely with our users to understand their struggles operationalizing ML — you'll keep your team connected to that mission and translate user learnings into better infrastructure.   RESPONSIBILITIES - Recruit, hire, and grow a high-performing team of cloud platform engineers; provide ongoing coaching, feedback, and career development through regular 1:1s. - Set clear performance expectations, hold a high bar, and create an environment where engineers do their best work. - Foster a culture of ownership, accountability, and continuous improvement. - Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions; translate the infrastructure roadmap into clear team priorities and milestones, and hold execution against them. - Establish standards and best practices for reliability, performance, and operational excellence; ensure the team owns projects end-to-end, from specification through production. - Exercise and encourage good judgment on tooling and architectural tradeoffs, with a bias against unnecessary complexity. - Partner with product and engineering teams to align infrastructure work with business priorities; represent your team's progress, capacity, and technical tradeoffs clearly to leadership. - Serve as the escalation point for major incidents; drive resolution with urgency, ensure the team learns systematically, and stay connected to users so those learnings feed back into infrastructure improvements.   REQUIREMENTS - Proven experience directly managing engineers in a cloud infrastructure, platform engineering, or SRE context (not managing managers). - Extensive hands-on experience with Kubernetes, with the ability to engage credibly in architectural discussions and code reviews. - Strong background building and maintaining scalable, production infrastructure. - Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, CircleCI, Jenkins). - Demonstrated ability to drive projects end-to-end — from specification to execution — and coach your team to do the same. - Strong written and verbal communication skills; able to influence across teams without direct authority. - Track record of recruiting and growing engineering talent. - Openness to learning about ML infrastructure; prior machine learning experience is not required.   NICE TO HAVE - Experience with OSS observability tooling (Prometheus, ELK stack, Grafana, OpenTelemetry). - Background in multi-cloud environments or GPU infrastructure. - Experience building and managing on-call rotations and incident response processes. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Brazil; Colombia; Argentina; Bolivia, Plurinational State of; Chile; Turkey This Engineer will be responsible to lead the enterprise performance engineering efforts to ensure system scalability, stability, reliability, and responsiveness across distributed cloud and hybrid environments. Responsible for designing and executing load, stress, endurance, and scalability testing strategies while identifying bottlenecks across applications, APIs, databases, and infrastructure. Works closely with Architecture, DevOps, QA, and Development teams to validate production readiness, optimize system performance, and support high-availability cloud deployments within Azure and AKS environments. Primary Tools Apache JMeter Akamai CloudTest Azure Load Testing Azure Application Insights Azure DB Metrics AKS Container Monitoring PowerShell Monitoring Scripts Requirements Key Skills Performance and scalability testing Distributed systems and API architecture Azure cloud and Kubernetes (AKS) Performance metrics analysis and tuning CI/CD and automated performance pipelines Troubleshooting and root cause analysis Lead , coach and Mentor Performance Engineer staff offshore Nice to Have Mortgage or FinTech industry experience Experience with enterprise SaaS platforms and high-volume transaction systems

Location: Mexico; Colombia Uptalent.io is a leading global platform that connects world-class professionals from Latin America with the most exciting companies in the world. We are currently seeking an experienced Remote Mechanical Engineer to support a leading U.S.-based MEP engineering firm on a high-profile semiconductor facility project. In this role, you will work remotely as part of a multidisciplinary design team, contributing to technically complex, mission-critical facility projects. Responsibilities: Lead and support mechanical system design for semiconductor and high-tech facilities including cleanrooms, manufacturing areas, labs, utility plants, and support spaces Design and document HVAC and cleanroom systems as the primary focus area Provide secondary support for process piping, chilled water, plumbing, and fire protection coordination Develop construction documents and technical drawings using Revit and AutoCAD Collaborate with multidisciplinary engineering teams and coordinate across MEP disciplines Use Bluebeam for document review and project coordination Ensure compliance with applicable building codes and industry standards Requirements Bachelor's degree in Mechanical Engineering (required) 7–12 years of experience in MEP mechanical design Strong emphasis on HVAC and cleanroom system design; experience with semiconductor or similarly complex technical facilities highly preferred Experience with process piping, chilled water, plumbing, and fire protection coordination Proficient in Revit, AutoCAD, and Bluebeam (required) Familiarity with Navisworks, Trace, or similar software is a plus Fluent in English (required) Available to start mid-July 2026 Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Mexico; Colombia Uptalent.io is a leading global platform that connects world-class professionals from Latin America with the most exciting companies in the world. We are currently seeking an experienced Remote Electrical Engineer to support a leading U.S.-based MEP engineering firm on a high-profile semiconductor facility project. In this role, you will work remotely as part of a multidisciplinary design team, contributing to technically complex, mission-critical facility projects. Responsibilities: Lead and support electrical system design for semiconductor and high-tech facilities including cleanrooms, manufacturing areas, labs, utility plants, and data center-like infrastructure Design and document power distribution systems as the primary focus area Provide secondary support for lighting, grounding, UPS, generators, panels, low voltage systems, controls, and equipment/vendor coordination Develop construction documents and technical drawings using Revit and AutoCAD Collaborate with multidisciplinary engineering teams and coordinate with equipment vendors Use Bluebeam for document review and project coordination Ensure compliance with applicable electrical codes and industry standards Requirements Bachelor's degree in Electrical Engineering (required) 7–12 years of experience in MEP electrical design Strong emphasis on power distribution within technical/semiconductor facility types; experience with cleanrooms, manufacturing, labs, or similar complex facilities highly preferred Experience with lighting, grounding, UPS, generators, panels, low voltage, controls, and vendor coordination Proficient in Revit, AutoCAD, and Bluebeam (required) Familiarity with SKM/ETAP, EasyPower, or similar short-circuit/arc-flash analysis software is a plus Fluent in English (required) Available to start mid-July 2026 Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Mexico; Colombia We are looking for Advanced Manufacturing Engineers to support New Product Introduction and manufacturing execution for complex modular systems in the energy, power generation, and data center sectors. This role is ideal for manufacturing engineers with experience translating engineering designs into production-ready processes, developing BOMs, supporting build documentation, and helping industrialize engineered products. The company’s core products include Battery Energy Storage Systems (BESS), Generator Systems, and Modular Data Centers , so experience in any of these areas is highly valuable. BOM development experience is a major plus. The selected candidates will work closely with engineering, manufacturing, supply chain, quality, and operations teams to support product readiness, documentation, and production launch. Key Responsibilities Support New Product Introduction activities from early design through production release. Assist with manufacturing deliverables, including BOM development, routings, tooling requirements, work instructions, and process documentation. Translate engineering designs into clear manufacturing strategies for modular and containerized products. Review designs for manufacturability, assembly efficiency, cost, quality, and production scalability. Support prototype, pilot, and early production builds. Identify manufacturing issues during early builds and help drive corrective actions with engineering and operations teams. Support documentation related to fabrication, assembly, electrical integration, mechanical systems, and quality checks. Collaborate with supply chain and sourcing teams to validate components, lead times, supplier readiness, and material availability. Partner with quality teams to define inspection points, acceptance criteria, and control plans. Support production handoff by ensuring required documentation is complete, accurate, and ready for use by operations. Assist with manufacturing risk identification related to process complexity, tooling, labor, cost, schedule, safety, and supply chain. Requirements Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, Electrical Engineering, or a related discipline. 5+ years of experience in manufacturing engineering, industrial engineering, NPI, production engineering, or similar roles. Experience supporting engineered products, industrial equipment, modular systems, power systems, or electromechanical products. Strong understanding of manufacturing processes, fabrication, assembly, production documentation, and build readiness. Experience working with BOMs, routings, work instructions, production documentation, or ERP/MRP-related manufacturing data. Ability to work cross-functionally with engineering, manufacturing, supply chain, quality, and operations teams. Strong English communication skills. Ability to work remotely while maintaining strong alignment with U.S.-based teams. Preferred Qualifications Experience with BESS, energy storage, power generation, generator sets, modular data centers, or containerized power systems . Strong BOM development experience. Experience with high-mix, engineered-to-order manufacturing environments. Familiarity with NPI phase gates, APQP, PPAP, or similar structured product launch processes. Experience supporting prototype builds, pilot builds, production ramps, or manufacturing handoffs. Knowledge of electrical and mechanical integration, including switchgear, UPS, inverters, batteries, engines, alternators, cooling systems, or power distribution. Familiarity with UL, NFPA, or other industrial / electrical safety standards is a plus. Lean Manufacturing or Six Sigma experience is a plus. Experience working with U.S.-based manufacturing or engineering teams is preferred. Ideal Candidate Profile The ideal candidate is a manufacturing engineer with strong technical judgment, excellent documentation skills, and the ability to bridge the gap between engineering and production. This person should be comfortable reviewing technical information, developing BOMs, supporting manufacturing readiness, and helping teams move products from design into production efficiently. Experience with BESS, GenSets, Data Centers, modular infrastructure, or complex electromechanical systems will be especially valuable for this role. Benefits Flexible schedules. Work from anywhere. Highly competitive compensation. Long Term position with growth opportunity.

Location: Amsterdam, Netherlands; Germany; Israel; London, United Kingdom; Remote - Europe; United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We're an SRE team within DevTools, looking for someone ready to help maintain and grow our systems. We run 25k builds a day in TeamCity, store 100 TB of artifacts in Artifactory, and work with a massive monorepo in GitLab — comparable in scale to what you'd find at FAANG companies. We modify GitLab and build our own TeamCity plugins to give users a product that meets their needs. We're also experimenting with AI — we have our own RAG setup and are figuring out how to operate in the age of agents. Our goal: understand users' problems and requests, define metrics that capture the problem, improve those metrics, and verify that the user's problem is actually gone. Y our responsibilities will include: Improving services based on user feedback Building fault-tolerant, self-healing architecture Finding ways to speed up our systems and reduce user friction Modifying well-known closed- and open-source solutions Supporting our users We expect you to have: A combination of SRE and SWE experience (for us that's a 50/50 split). Our code is in Java/Kotlin, Go, Python, and Ruby An understanding of what's happening under the hood in Unix-like systems and the JVM A passion for improving the user experience The ability to adapt quickly on the fly in a fast-changing environment It will be an added bonus if you have: Experience in Platform Engineering Experience operating GitLab (or another VCS) and TeamCity (or another CI system) Experience with Spring and operating Java monoliths We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA About the role Chime's Data Science & Machine Learning team builds the models, services, and platforms behind how millions of members manage and grow their financial lives. We're hiring AI/ML Engineers across several teams, Trust & Safety, Lending, Growth, and Foundation Models, and you'll be matched with the team where your background, experience and interests fit best. In this role, you'll build and deploy machine learning systems on some of the richest transactional and behavioral data in fintech, turning it into decisions that protect members from fraud, expand access to credit, and power the personalized experiences and marketing that help millions of members get more out of products like MyPay, Instant Loans, and SpotMe — along with the foundational models the rest of our teams build on. This is a highly applied role: you'll own problems end to end, from framing the question through to a model running in production and moving a metric that matters. In this role, you can expect to Build, train, and deploy deep learning and classical ML models on large-scale financial, transactional, and behavioral datasets Take models from problem framing through to production — training, evaluation, deployment, monitoring, and iteration — and stay accountable for how they behave once they're live Design and improve the systems around the model: feature pipelines, batch and real-time inference, monitoring, and retraining Partner with Product, Engineering, Analytics, and Risk to turn ambiguous business problems into ML solutions, and to make sure the solution is the right one Connect model performance to member outcomes and business metrics, and use experimentation to prove impact Contribute to the shared ML platform, tooling, and standards that the rest of the team builds on Help identify where AI/ML creates measurable impact for members — and where a simpler answer is the better one To thrive in this role, you have Experience building and deploying deep learning models in production, with a solid grasp of architecture choice, training dynamics, and evaluation — and the judgment to model design choices Solid machine learning fundamentals: classical modeling, evaluation design, and knowing which metric actually answers the question in front of you Hands-on experience across the end-to-end ML lifecycle — training, experimentation, optimization, deployment, and monitoring Comfort with messy real-world data, including label definition, leakage, class imbalance, and train/serve skew Strong proficiency in Python and SQL, with deep learning frameworks such as PyTorch and distributed compute such as Spark or PySpark Working knowledge of modern ML infrastructure — AWS and tools such as SageMaker, Airflow, Kafka, Redis, and Snowflake — and an MLOps mindset for keeping production systems healthy The ability to operate independently in ambiguous environments, and to communicate clearly with both technical and non-technical partners Nice-to-Have Experience in any one of these is a plus, and helps us match you to the right team. Trust & Safety — fraud, risk, abuse detection, or adversarial modeling Lending — credit or underwriting models, and familiarity with model governance, explainability, and fairness requirements Growth — personalization, recommendation, marketing measurement, or experimentation at scale Foundation Models — transformers on tabular or semi-structured data, large-scale pretraining, ML platform work, or applied research with a publication record #LI-DA1 #LI-Onsite Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $125,000 — $292,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team The Legal, Compliance & Finance Data Team builds the data infrastructure powering OKX's compliance operations globally — TMS, KYC/EDD, CMS, and regulatory reporting across 100+ markets. The compliance data domain is broad but learnable. We expect senior engineers to build deep domain knowledge quickly using AI tooling and structured onboarding. About the role We are looking for a Senior Data Engineer to work as a core execution partner to our Compliance Projects. This is a hands-on technical role with real domain ownership — you will own sub-domains end-to-end, not just execute tickets. Strong performance creates a direct route toward the Compliance domain's technical leadership layer as the team scales. Responsibilities: Pipeline Ownership: Own end-to-end pipelines from ODS ingestion through CDM to downstream marts serving TMS, KYC, CMS, and regulatory reporting. Design, build, and maintain production-grade pipelines with reliability, auditability, and regulatory correctness as first-class requirements. Full-Stack Compliance Coverage: TMS: transaction monitoring feeds, rule feature engineering, Scila/TME platform data integration, TME/ARS features KYC/CRR/EDD: KYC refresh pipelines, remediation datasets, CRR scoring features, Worldcheck integration CMS: case management data, transaction analysis tooling, bulk search, KYB operation data Regulatory reporting: recurring compliance reports for global and jurisdiction-specific requirements Data Quality: Design proactive DQC checks into pipelines. Own monitoring and reconciliation; build alerting that catches issues before downstream systems or regulators do. AI-Accelerated Domain Building: Use AI tooling actively to ramp on compliance domain knowledge. Apply LLM-assisted development to accelerate pipeline development, DQC design, and documentation. Collaboration: Work closely with the Compliance Project Lead as a trusted technical partner — take sub-domain ownership to expand his effective bandwidth. Mentor junior engineers as your domain confidence grows. Requirements: 4+ years in data engineering with strong production pipeline experience (ETL/ELT, SQL, Python, orchestration) Demonstrated ability to own a data domain end-to-end — business logic, quality, and incident handling Strong data modelling skills for compliance or financial data (auditability, lineage, immutability) Fast domain learner with evidence — can point to a time they ramped up in an unfamiliar domain quickly, ideally using AI tooling Comfortable working in ambiguity: turns underspecified compliance requirements into scoped engineering tasks Preferred Qualifications: Experience in compliance, AML, KYC, transaction monitoring, or financial crime data domains Background in crypto, fintech, or regulated financial services Familiarity with Scila, Unit21, World-Check, or equivalent TMS/CMS platforms AI/LLM tooling applied to data engineering in practice — concrete examples preferred Perks & Benefits: Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team The Finance Data Team is responsible for the data infrastructure that powers OKX's compliance, regulatory, and financial reporting operations globally. Our Finance Data domain covers everything from raw transaction ingestion to consolidated group financials — supporting statutory reporting, board-level financials, and audit readiness across 100+ markets. This is a team that treats data correctness as a non-negotiable. We operate at the intersection of engineering rigour, financial domain knowledge, and regulatory accountability. About the role We are looking for a Staff Data Engineer to be the technical anchor for Finance Data at OKX. You will define how Finance data is architected, validated, and delivered, and set the standard for how the team operates in an AI-native way. You will work directly with Finance, Accounting, and Treasury stakeholders to ensure that financial data is complete, reconciled, traceable, and audit-ready. You will also be the domain's primary escalation point and the technical voice of Finance Data within the broader engineering organisation. This role suits someone who has operated as a de facto domain lead before — someone who has built financial data systems that have been reviewed by auditors, regulators and who knows what "good" looks like in a regulated financial data environment. Responsibilities: Domain Architecture & Technical Direction Own the end-to-end Finance data architecture: from ODS ingestion through CDM transformation to reporting mart, with clear data lineage documented at every layer Define and enforce data modelling standards for Finance: period cut-off immutability, multi-entity consolidation logic, revenue recognition alignment, and audit trail completeness Lead the design of scalable pipelines supporting trading data, asset positions, P&L, and cost accounting across multiple legal entities and jurisdictions (SG, EU, US, and others) Make architectural decisions independently and articulate trade-offs clearly to both engineering peers and non-technical Finance stakeholders Financial Reporting & Audit Readiness Partner with Accounting, Finance PMO, and Treasury to deliver datasets for month-end close, statutory reporting, and board-level financials on time and to audit standard Ensure every financial figure is traceable back to the source system with full transformation history — no black boxes Build the data foundation that supports OKX's regulatory reporting obligations and long-term financial reporting maturity Data Quality & Controls Design proactive, self-validating DQC frameworks — reconciliation logic, SLA monitoring, and anomaly detection built into pipelines, not bolted on after incidents Own incident response for Finance-critical pipeline failures; conduct structured post-mortems and drive permanent fixes Define "done" for financial correctness in partnership with Accounting; hold the line on data quality standards even under delivery pressure AI-Native Finance Data Lead the team's adoption of AI-assisted engineering: LLM-assisted development, automated anomaly detection, intelligent reconciliation, AI-generated reporting summaries Evaluate and introduce AI tooling into Finance data workflows with production evidence — not POC demos Set the bar for what an AI-native Finance data team looks like, and bring junior engineers along Technical Leadership & Influence Be the go-to escalation point for Finance data domain questions across the team Mentor and grow engineers working in the Finance domain; translate domain complexity into learnable patterns Represent Finance Data in cross-team architecture discussions, sprint planning, and stakeholder reviews Document domain knowledge that outlasts any individual — data dictionaries, pipeline specs, onboarding guides Requirements: 6+ years in data engineering, with at least 3 years owning a Finance, Accounting, or financial reporting data domain end-to-end Deep understanding of financial data fundamentals: period close and cut-off rules, revenue recognition, multi-entity consolidation, reconciliation, and audit trail requirements Demonstrated experience building data systems that have been reviewed in a statutory audit or regulatory review Strong SQL and Python; proven ability to design and maintain complex production pipelines at scale Experience designing for immutability and lineage — financial data that can be rolled back, re-run, and traced without manual intervention Track record of operating with significant autonomy: defining requirements from ambiguous stakeholder input, not just executing tickets Preferred Qualifications: Experience at a crypto exchange, fintech, or company that has gone through IPO preparation or public company financial reporting Familiarity with regulatory reporting requirements across multiple jurisdictions (MAS SG, SEC, FCA, or equivalent) AI/ LLM tooling applied to data engineering workflows in production — concrete examples required; "exploring" does not count Experience with Spark, Airflow, or equivalent orchestration at scale Prior experience as a de facto domain lead or tech lead without formal people management title Background working with Accounting/Controllership teams as a technical counterpart Perks & Benefits: Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Al Jubail, Saudi Arabia; Al Khobar, Saudi Arabia; Jeddah, Saudi Arabia Eram Talent is seeking a dedicated and skilled Engineer Hydraulics to join our team. The Engineer Hydraulics will be responsible for designing, analyzing, and maintaining hydraulic systems, ensuring efficient and reliable performance in various engineering applications. This role involves collaborating with multidisciplinary teams to develop innovative solutions, conducting system testing and troubleshooting, and ensuring compliance with relevant industry standards and regulations. Requirements Bachelor's degree in Mechanical Engineering, Hydraulic Engineering, or a related field. Experience in the design, maintenance, and troubleshooting of hydraulic systems. Proficiency in hydraulic simulation software and CAD tools. Strong understanding of hydraulic components and fluid mechanics. Excellent analytical and problem-solving skills. Ability to work collaboratively within a team environment. Good communication and documentation skills.

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE Halter is searching for a Lead Supply Quality Engineer to take responsibility for ensuring that every component in our supply chain is delivered at quality and on time. If you are an expert in implementing and managing quality systems to catch issues early, resolve them quickly, and ensure high-quality components are always delivered on-time at our Contract Manufacturers, we want to talk to you! Our Hardware manufacturing is accelerating quickly to satisfy our growing global markets and it is vital that every component that is shipped to our contract manufacturers in Asia is ready for the tough environment it will face on farm, once it is assembled into Halter hardware. WHAT YOUR DAY COULD LOOK LIKE - Implement statistical process control methods for the manufacturing process of critical parts and work with the suppliers to ensure this is reflected in their process control plan - After a failure during production or OQC inspection at a supplier, run a rapid sprint analysis with design engineers to unblock the release of the shipment with risk-mitigative actions and keep production running with effective preventive measures - Update and implement quality control documentation to protect against future failures, based on root cause analysis that identified a component issue after, first flagged when a collar went offline on a farm in Australia - Audit the compliance with Halter’s quality requirements at a new supplier and work with the supplier to quickly close any non-conformances you found - Frequent travel between Auckland HQ (where you will be based) and China   WHAT WE ARE LOOKING FOR - 5+ years of experience in quality management for high-volume manufacturing. Production of electromechanical products is preferred - Committed to personal development and staying current with relevant industry standards, methods, and trends - Proven experience in responding to and resolving quality issues rapidly to minimise production disruption - Demonstrated first principles thinking and ability to hone in on the most important issues during audit or reviewing problems - Experience in working with suppliers to achieve required outcomes based on context - High proficiency (written, verbal and reading) in English and Mandarin (preferred) - Relevant quality-related qualifications such as ASQ certification (for example CQE or CQA) are beneficial, as is formal Internal Auditor Certification - Willing to travel regularly to China (50%+ of your time) - Someone who will thrive in a close team environment and can work well in the self-directed and demanding environment of a rapidly scaling company - A commitment to personal development and staying current with relevant industry standards, methods, and trends.   JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: San Francisco; Palo Alto Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. - Design the decision layer that balances competing objectives to produce the best overall experience for the user. - Build the data and evaluation foundations that let these systems learn and improve with usage. - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity. WHAT WE'RE LOOKING FOR - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. - Experience integrating LLMs into ranking, retrieval, or personalization pipelines. - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles. - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects. NICE TO HAVE - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco; Palo Alto Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. - Design the decision layer that balances competing objectives to produce the best overall experience for the user. - Build the data and evaluation foundations that let these systems learn and improve with usage. - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity. WHAT WE'RE LOOKING FOR - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. - Experience integrating LLMs into ranking, retrieval, or personalization pipelines. - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles. - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects. NICE TO HAVE - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.