Вакансии

Location: Dallas, TX; Oklahoma City, OK Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Recognized by Vault as a Top 10 Engineering Internship Program, Olsson provides interns with meaningful, real-world work experience that will transform your classroom experience and help you envision your future career. Our Site Design team provides design services for retail, commercial, mixed-use, and residential land development projects, along with industrial, sports, schools, and other site development types. As a civil engineering student intern, you will be part of our team, working for our clients on projects with our most experienced engineers. You’ll assist with creating construction plans for sites that can include site layout, grading, stormwater, and utilities in AutoCAD and Civil 3D. You may also perform research, write technical reports, and travel to job sites. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills. Ability to contribute and work well on a team. Proficiency in Microsoft Excel, Word, and Outlook. Problem-solving and decision-making skills. Strong attention to detail. Working knowledge of AutoCAD (Civil 3D is a plus). Pursuing a degree in civil engineering. We are looking for 1-2 individuals to work out of either our Fort Worth, Plano, or Oklahoma City offices. #LI-DNP Learn more about our internship program rankings Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Remote About Lemon.io http://Lemon.io Lemon.io http://Lemon.io is a profitable, growing talent marketplace that connects vetted senior engineers with companies that need them. We’ve been in business for 10 years, have 60 people across Ukraine, Europe, Canada, and the US, and process over $16M in annual GMV. We compress the traditional 2–5 week hiring timeline down to 24–48 hours through a curated, pre-vetted supply of developers. Hiring is still broken. Recruiters spend weeks building candidate pipelines on traditional platforms, burning energy on unqualified leads. We’re building the product that changes that. Giving recruiters qualified, vetted candidates within 24 hours without the grind. This is a pivotal moment: we’re transitioning from a services-driven marketplace to a technology-driven platform. We need an engineering leader who can drive that transformation.   The Role You will own engineering at Lemon.io http://Lemon.io. You’ll lead a growing team of engineers, make critical architecture and prioritization decisions, and be directly accountable for the speed and quality of what we ship. This is not a management-layer role. You’ll be hands-on, deeply involved in product decisions, and working side by side with the founder.   What You’ll Do: - Own the technical roadmap and make sure every engineering effort maps directly to business impact. No features for features’ sake. - Lead and grow an engineering team that ships fast, iterates constantly, and treats complexity as a cost. - Tackle the hard, multi-layered problem: automated vetting, intelligent matching at scale, demand-side bottlenecks. And figure out where the real leverage is. - Make hard prioritization calls. Decide what we build, what we skip, and what we kill. - Work directly with the founder and product team to define what success looks like before writing a single line of code. - Build the engineering culture: high ownership, high speed, low bureaucracy. Who You Are: - Product-minded, business-first - Obsessed with simplicity - First principles thinker - Fast. Bias toward action Experience: - You’ve led engineering teams (5–30+ people) at a startup or high-growth company. - You have hands-on experience with modern stacks and are comfortable with AI/ML tooling. - You’ve worked in a distributed, async-first team. Why Lemon.io http://Lemon.io: - Profitable and growing. No fundraising pressure, real business fundamentals. - A pivotal moment: you’re not maintaining an engine, you’re building one. The product roadmap is wide open. - Direct access to the founder. No layers. Your decisions ship. - A massive, unsolved problem: hiring is still broken. We’re building the product that makes it radically faster for companies to find qualified engineers. - A team of 60 people who move fast, care deeply, and have survived the hard years together.

Location: Cyprus Workplace: OnSite We are looking for an experienced Site Engineer to join our partner's team in Cyprus and support the delivery of construction projects from planning through execution. This role requires a strong technical background and hands-on experience within the Cyprus construction market. You will coordinate multiple parties involved in project delivery, monitor site activities and progress, and ensure that works are completed in line with technical, quality, safety, and contractual requirements. Responsibilities: - Coordinate day-to-day construction activities across ongoing projects - Monitor site works to ensure compliance with approved drawings, technical specifications, quality standards, and safety requirements - Support project planning, scheduling, and progress tracking - Coordinate communication between contractors, consultants, site teams, and management - Maintain project documentation, reports, and site records - Support the allocation and coordination of manpower, equipment, and materials - Identify potential risks, delays, or operational issues and support the implementation of corrective actions - Ensure project activities comply with relevant legal, regulatory, and contractual requirements Requirements: - Bachelor's degree in Civil Engineering or a related field - 5-7 years of relevant experience in construction project coordination or site supervision in Cyprus - Strong understanding of construction processes, methods, and local regulations - Registered Member of ETEK - Experience with project management and scheduling software - Strong organizational, communication, and problem-solving skills - Ability to coordinate effectively with multiple internal and external stakeholders - Good command of English

Location: Dallas, TX; Des Moines, IA; Fayetteville, AR; Florida - Remote; Fort Worth, TX; Georgia - Remote; Joplin, MO; La Vista, NE; Lincoln, NE; Little Rock, AR; North Carolina - Remote; North Kansas City, MO; Oklahoma City, OK; Olathe, KS; Omaha, NE; Overland Park, KS; Phoenix, AZ; South Carolina - Remote; Springfield, MO; Tulsa, OK Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description As a Geotechnical Engineer on our Rail Construction and Administration Management team, you will bridge the gap between soils at client sites and structures, ensuring the stability and strength of their projects from the ground up. You will perform geotechnical engineering design, project proposal, and management duties with integrity and a drive to succeed. You will also process design calculations, develop project scopes and schedules, and travel to job sites for observation. This position will ensure high client service by providing constructible designs, meeting deadlines, and creating clear communications with our clients. We have one current opening and will consider candidates interested in being located out of or near any Olsson office locations; close proximity to an airport is acceptable as well. This role involves traveling to various job sites and working in diverse terrains and weather conditions. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills Ability to contribute and work well on a team Bachelor’s degree in civil or geotechnical engineering required Must be a registered professional engineer (PE) 4+ years of related Geotechnical analysis and design experience Proficiency in MS Office Suite products Willingness to work a flexible schedule and travel required Ability to lift and carry equipment weighing 30 pounds or more Valid driver's license required #LI-DD1 Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Проект: Разработка единой системы оценки эффективности. Задачи: — Разработка решений вокруг DWH — Создание ETL / настройка сбора данных, BI-аналитика — Проработка архитектуры данных и системы для их сбора — Внедрение нового функционала, сокращение техдолга Требования: — Опыт проектирования и построения пайплайнов: Python / Apache Airflow — Интеграция источников с GraphQL, RESTful — Хранение данных в Apache Iceberg / проектирование архитектуры хранения данных — Проектирование архитектуры сбора данных и витрин — Тестирование данных на всех уровнях требований к качеству данных — Настройка метрик и алертов Prometheus / интеграция с внутренними системами оповещений — Знание предметной области Условия: Удаленный формат работы Интересный проект с архитектурными задачами Профессиональный рост

О нас: Мы строим ведущую платформу классифайд объявлений Узбекистана. ML - ядро нашего продукта: поиск, ранжирование, модерация и рекомендации. Команда находится на активной стадии построения ML-инфраструктуры с нуля: мы выбираем технологии, формируем процессы и закладываем фундамент для ML-платформы следующего поколения. Чем предстоит заниматься: - Развивать качество поиска: LTR-модели (LambdaMART/LightGBM), разрабатывать и интегрировать векторный поиск, улучшение поискового пайплайна (работа с саджестером, catpred). - Строить ML-модели для Trust & Safety: обнаружение мошенничества, модерация объявлений, NER в мессенджерах, скоринг нарушений. - Развивать систему рекомендаций - item2item, user2item рекомендации. - Участвовать в проектировании и развёртывании ML-платформы (SageMaker, MLflow, Feast, Evidently, Airflow).

Location: Remote, Global Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We are seeking a platform engineer to join our Edge & Networking squad. This team owns everything that happens at the network perimeter: API gateway, routing, load balancing, DNS, and secure global traffic distribution. You'll design, build, and operate systems that are both robust and highly automated — enabling us to to scale reliably while maintaining low latency and high availability across our global infrastructure. You will work closely with other infrastructure and product teams to ensure seamless integration, observability, and performance of our edge services. WHAT YOU’LL BE RESPONSIBLE FOR: - Help build and maintain the Supabase Cloud offering; - Design and implement Supabase’s global edge router platform; - Build programmable, API-driven routing logic to dynamically steer customer traffic; - Work with DNS, WAF, IP networking, TLS termination, CDN integrations, and global load balancing; - Implement advanced observability: relevant metric and log capturing, latency measurements, traffic shaping, routing health, and failure mitigation. - Optimize routing performance to minimize latency and improve reliability across cloud regions. - Collaborate cross-functionally with other teams to integrate networking solutions into the entire Supabase stack; - Improve our system architecture to reduce costs while balancing security, reliability, and performance; - Design CI/CD systems to speed up deployments with proper change and release management processes; - Participate in on-call rotations, incident response, and post-incident reviews for edge-related issues; - Resolve escalated support issues, while also identifying and resolving systemic issues across the platform. YOU MIGHT BE A FIT IF YOU HAVE: - 5+ years experience in SRE/DevOps/Cloud Infrastructure; - 4+ years experience building and operating high-scale networking or edge infrastructure; - Strong experience with HTTP, TCP/IP, TLS certificate management, CDN internals, load balancing, and global routing; - Proficiency with traffic proxies / routers (e.g., Envoy, NGINX, HAProxy, Traefik, or building your own); - Experience designing systems for high availability, failover, and real-time observability; - Strong software engineering skills (Go); - Strong debugging and troubleshooting skills across distributed systems; - Knowledge of IPv6, BGP, Anycast, or advanced routing protocols; - Experience in managing large deployments on AWS, GCP, Azure, or similar; - Comfortable with cloud networking primitives (AWS, GCP, Azure, or similar); - Experience with Infrastructure as Code tools (Pulumi preferred, Terraform/CDK etc also acceptable); - Experience with being part of on-call rotations for large production systems. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: United States; Canada Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ROLE OVERVIEW Ready to build AI agents that revolutionize enterprise security? The North Security team is looking for a Senior Software Engineer to create autonomous systems that handle the complex, critical tasks security practitioners face every day. KEY RESPONSIBILITIES As a Senior Software Engineer focused on agentic security, you'll build intelligent systems that empower security teams. Your responsibilities will include: - Build autonomous security agents that perform alert triage, secure code reviews, threat modeling, and vulnerability assessment - Develop agent orchestration systems that help security practitioners automate repetitive security tasks - Design and implement agent security controls to ensure our AI agents can safely interact with sensitive enterprise data - Create the security infrastructure that allows agents to operate in high-trust environments with stringent deployment requirements - Ship production-ready agent capabilities that run efficiently in resource-constrained environments - Research and implement novel security patterns for AI agent systems, sometimes requiring custom solutions where standard libraries fall short - Conduct security testing of both the agents you build and the platform that runs them. QUALIFICATIONS - 5+ years of software engineering experience with a track record of shipping user-facing security features - Strong Python development skills with significant production experience - Experience building or working with autonomous systems, AI agents, or intelligent automation - Solid understanding of security principles including session management, authentication, authorization, and secure coding practices - Ability to think about security at multiple layers: application security, agent behavior security, and infrastructure security - Comfortable working across the full stack and diving into unfamiliar codebases to understand and fix issues - Thrive in fast-paced environments where you can adapt to evolving priorities - Excited about the intersection of AI/ML and security engineering. WORKING LOCATION This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Belgrade, Serbia; St. Petersburg, Russia; Moscow, Russia Workplace: remote At NOVACARD , we’re redefining how people use credit. We are the first interest-free and no-annual-fee credit card in Mexico , designed to simplify personal finances and give users complete control - all from a mobile app. With NOVACARD, users can access up to $200,000 MXN in credit , only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals. About the Role: We’re looking for a Site Reliability Engineer (SRE) to ensure the stability, performance, and reliability of our critical production systems. You’ll work at the intersection of development and operations — building automation tools, improving observability, and preventing incidents before they occur. Key Responsibilities: Ensure the stability, performance, and fault tolerance of production systems. Develop and maintain infrastructure automation and observability tools. Monitor system health, respond to incidents, and perform root cause analysis (RCA). Collaborate with development teams to improve scalability and reliability of services. Define and manage SLIs , SLOs , and Error Budgets . Lead incident response: organize recovery, document RCA, and run blameless post-mortems. Configure and administer Grafana and Zabbix , design insightful dashboards, and fine-tune alerting. Integrate and monitor external vendor systems, collaborating with vendor technical support when needed. Key Requirements: Fluent Russian, English B1+ (comfortable with technical documentation). 3+ years of experience as an SRE, DevOps, or Infrastructure Engineer. Strong understanding of observability principles (metrics, logs, traces). Hands-on experience with Grafana and Zabbix (administration, configuration, alert optimization). Experience working with AWS and CI/CD tools. Practical knowledge of SLI/SLO/Error Budget frameworks. Experience leading and documenting incidents and post-mortems. Scripting skills for automation (Python, Bash, or Go). Solid understanding of distributed systems and networking fundamentals. Nice to Have: Experience monitoring and supporting mobile applications. Familiarity with Terraform, Prometheus, Loki, ELK, or similar tools. Experience working with Kubernetes and containerized environments. What We Offer: Fully remote work format. Official employment under the Russian Labor Code (for residents of Russia); contractor collaboration available for candidates from other countries. Opportunity to work in an international team on a new digital product for the Mexican market. A data-driven environment where your contributions have a real impact.

Location: India Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. About the role We operate a fleet of camera and sensor devices in the field at scale. They generate large volumes of recordings on removable media, and every recording has to reach cloud storage intact, correctly identified, and traceable back to the exact device, card and operator that produced it. This role owns the technical layer underneath that pipeline. Day-to-day offload is run by an operations lead and their team; you are the person who makes their work possible and correct. You own the ingest stations, the tooling that runs on them, the hardware fleet, quality control, and the standards everyone follows. When something fails in a way the operations team cannot resolve, it comes to you. It is hands-on. You will spend time at ingest stations, in the quality control area, and at deployment sites, and you will write scripts to make all of it less manual. It suits someone comfortable with a Linux terminal and a screwdriver in the same afternoon, who finds an unaccounted-for storage card genuinely intolerable. WHAT YOU’LL DO Own the ingest pipeline (the operations team runs it) - Build, configure and maintain ingest stations — hardware, operating system, tooling — and replicate that build reliably across locations - Own the ingest tooling in the field: deploy updates, fix what breaks, and carry requirements back to the software team - Define the verification and media lifecycle rules the operations team follows — what must pass before a card is released for reuse, and what happens when it doesn’t - Act as escalation for failed and partial ingests: determine whether the cause is media, device, station, tooling or procedure, and fix the underlying issue rather than the instance - Audit that the process is actually being followed, and close the gaps you find Own the hardware fleet - Maintain inventory of capture devices, memory cards and drives across locations, with full chain of custody - Run reconciliation and investigate discrepancies to root cause rather than writing them off - Specify and evaluate hardware — cards, readers, hubs, enclosures, drives — and manage returns and warranty claims with suppliers - Plan capacity: how many cards, how many drives, what rotation, with margin Quality control - Investigate recording failures with controlled tests rather than guesswork; isolate whether a fault sits in the device, the media, the station or the procedure - Decide what gets escalated, repaired or retired, and document the evidence behind the call - Define capture configuration standards and verify device settings in the field Support the teams - Be the technical escalation point for the operations lead, the quality control team and field operators - Train operators on tooling and hardware, and write procedures a new joiner can follow unsupervised - Travel to deployment sites as needed Report - Produce recording yield, data loss and operator performance reporting - Be able to say whether a bad number reflects a real failure or an artefact of how it was measured Automate - Write Python and shell scripts to remove manual steps from the workflow - Work with the software team on tooling requirements, and file precise bug reports when the software gets in the way WHAT WE’RE LOOKING FOR - A technical background — a degree in engineering or computer science, or equivalent hands-on experience. This is an engineering role that happens to involve hardware and field work, not a coordination role with a technical veneer - Comfort in Linux: mounting and formatting media, filesystems, permissions, scheduled jobs, reading logs - Working Python — enough to script a batch job, walk a directory tree, or call an API - Fluent use of AI tools — Claude, Claude Code, Cowork or equivalent — as part of how you work day to day. We expect you to use them to write scripts, investigate failures and draft procedures faster than you would alone, and to know where their output needs checking before it reaches a station or an operator - Hardware troubleshooting instinct: forming a hypothesis, testing it, eliminating causes one at a time - Real care about data integrity and chain of custody, and the discipline to follow a verification step even when it is inconvenient - Clear written English — you will write procedures other people depend on - Willingness to work with physical equipment and travel to sites - Comfort in an environment where the process may not exist yet and you are expected to define it NICE TO HAVE - Experience with cameras or sensor hardware - SQL, or experience querying an internal API for reporting - Storage systems — RAID, ZFS, network-attached storage administration - Prior work in data collection, field operations, logistics or laboratory operations - Barcode or asset-tracking systems

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role   As an Applied Engineering Intern, you will work closely with our Applied AI Engineering team to facilitate the adoption of Mistral AI products among customers and collaborate with them to address complex technical challenges. This role is based in Paris, with an internship duration of 6 months. We are open to CIFRE programs as a continuation after the internship.   What you will do   • Contribute to the deployment of state-of-the-art GenAI applications, driving technological transformation with our customers. • Collaborate with researchers, AI engineers, and product engineers on complex customer projects. • Work with the product and science team to continuously improve our product and model capabilities based on customer feedback.   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you   • You are currently pursuing a degree in AI, data science, or a related field from a tier 1 engineering school or university. • You have strong programming skills in Python. • You are familiar with machine learning algorithms and natural language processing techniques. • You hold basic understanding of MLOps and deploying machine learning use cases. • You have good communication skills with the ability to explain technical concepts to both technical and non-technical audiences.   Ideally you have: • Experience with deep learning frameworks such as PyTorch. • Familiarity with version control systems (e.g., Git) and Linux shell environment. • Experience working in HPC Environments • Publication record in AI or a related field Location & work authorization: This internship is available only in France. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About 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. As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. Responsibilities Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. Provide white glove deployment support for Anthropic products in enterprise environments. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Travel frequently (25-50%) to customer sites to build in person with customers. Be a champion for Anthropic’s mission in the field. You May Be a Good Fit If You Have 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting or product experience. Former technical founders are also encouraged to apply. Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications High agency with an ability to navigate ambiguity present in complex organizations. High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. Experience with enterprise IT systems and/or AI deployment patterns is a plus. 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: £225,000 — £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Развивать платформу для расчёта ML-признаков в batch-, streaming- и nearline-сценариях; — Строить и поддерживать пайплайны для исторических расчётов, backfill и обновления признаков; — Собирать обучающие датасеты так, чтобы в них не попадали данные «из будущего».

О компании: AI HealthTech стартап создает продукты, которые трансформируют привычные процессы в здравоохранении, делают их более эффективными и меняют мир к лучшему. Для кого: Команда в поиске Technical Customer Support Engineer, который поможет с нуля выстроить современную систему Customer Support. Предстоит не только помогать пользователям решать возникающие вопросы, но и запускать процессы поддержки, настраивать инфраструктуру, создавать базу знаний и постепенно автоматизировать рутинные задачи. В будущем команда планирует активно развивать AI-направление, поэтому будет большим плюсом опыт использования AI-инструментов и low / no-code решений для автоматизации процессов. Пользователи очень разные: от врачей и администраторов клиник до пациентов и корпоративных клиентов. Важно уметь объяснять сложные вещи простым языком, при этом разбираться в технических вопросах и помогать развивать процессы поддержки. Основные задачи: Вести техническую клиентскую поддержку: диагностика проблем, сбор контекста, приоритизация и сопровождение запросов до полного решения. Настроить процессы Customer Support: Service Desk, категории обращений, SLA, маршрутизацию, шаблоны ответов и метрики качества. Создавать и поддерживать базу знаний: инструкции, FAQ и сценарии для разных типов пользователей. Настраивать low / no-code интеграции и автоматизации: связки почты, мессенджеров, CRM, Service Desk и других инструментов. Искать возможности для автоматизации процессов поддержки с помощью AI-инструментов. Проводить онбординг новых клиентов и сопровождать их в работе с продуктом. Работать с командами продукта и разработки: оформлять bug-репорты, воспроизводить проблемы, собирать обратную связь и улучшать пользовательский опыт. Что ожидаем: Опыт работы в Customer Support, Technical Support, Customer Success или смежной роли от 2 лет. Опыт работы с Service Desk системами (Omnidesk, Jira Service Management, Intercom или аналогами). Понимание процессов поддержки, SLA и ключевых метрик (FRT, TTR, CSAT, FCR). Опыт взаимодействия с командой разработки и составления структурированных bug-репортов. Умение объяснять технические вопросы простым языком. Самостоятельность, высокий уровень ответственности и желание строить процессы практически с нуля. Английский язык — от Upper-Intermediate. Будет плюсом опыт использования AI-инструментов, а также low / no-code платформ (n8n, Make, Zapier и др.) для автоматизации процессов поддержки. Условия: Работа в стартапе: динамичная среда и быстрые итерации. Оформление: ГПХ (после ИС возможен переход на ТК). Возможность построить Customer Support практически с нуля и влиять на развитие процессов. Высокая автономность и ориентация на результат. Взаимодействие с сильной командой инженеров, продуктовых специалистов и экспертов в области медицины.

Location: Москва Наша команда отвечает за **независимую оценку и контроль качества генеративных моделей Банка.** Наша основная задача оценить флагманские генеративные модели Сбера – GigaChat, Kandinsky, GigaCode и PhysicalAI решений. Мы первыми видим, на что способна новая модель и проводим оценку новых возможностей прежде чем она выйдет к пользователям. Мы не просто «проверяем метрики», а: * глубоко разбираемся в подходах команд-разработчиков и в бизнес-процессах, где работают модели * критически рассматриваем архитектурные и методологические решения и предлагаем улучшения * разрабатываем собственные проверки, метрики и бенчмарки и фреймворки для их запуска * проводим оценку логов пользователей для построения наиболее релевантного тестирования Отдельный фокус – R&D деятельность: * создание новых методологий оценки качества * участие в разработке и развитии передовых банковских и российских бенчмарков (MERA, POLLUX и др.) * адаптация передовых мировых бенчмарков под специфику банковских кейсов * и многое другое Эта роль про независимое измерение фундаментального качества модели: не про их обучение – этим занимается отдельная команда Обязанности **Придумывать, как вообще измерить модель** ИИ стремительно развивается в мире и выходят новые модели и их виды, однако не всегда любая новая модель стала лучше предыдущей. Вам будет необходимо создать план по её проверке: что именно измерять, на какой выборке, с чем сравнивать, какая разница вообще будет считаться разницей в реальном качестве. **Отвечать за достоверность измерений** Полученные метрики не всегда отражают только лишь качество модели. Нужно уметь отделять реальный прирост качества от прочих факторов: ловить утечки данных в обучение, отличать дефект модели от дефекта замера, промпта или обвязки и проявлять тот же скепсис к собственной методологии: измеряем ли мы то, что заявили. **Разбираться в причинах ошибок** «Модель ошиблась» – это не вывод, а начало работы. Найденная вами причина той или иной проблемы модели превращается в рекомендацию команде разработки, а рекомендация – в следующую версию модели, которая этой ошибки уже не делает. **Строить автоматическую оценку** Разрабатывать LLM- и VLM-судей под конкретные задачи, разрабатывать с нуля собственные или дорабатывать существующие библиотеки валидации полного цикла и следим за фронтиром AI-исследований в области оценки моделей. **Строить то, чем пользуются другие** Фреймворки оценки, который вы развиваете – общие для команд по всему Банку. Бенчмарки, которые вы делаете, являются достоверной базой реального качества для разработчиков Банка и вне. Требования * **Умение проводить технический и научный ресерч**: находить и критически разбирать актуальные статьи, бенчмарки, модели и реализации; переводить ресерч в конкретные идеи для тестирования и развития внутренних подходов. * **Статистика и дизайн эксперимента:** доверительные интервалы, размер выборки, проверка гипотез, поправки на множественные сравнения * **Понимание современных AI-агентов и агентных систем**: понимать, чем агент отличается от обычного вызова LLM; знать основные компоненты агентной системы: роли, инструменты, контекст, память и оркестрация; * **Понимаете, как устроены генеративным модели изнутри:** трансформер и механизм внимания, диффузии, токенизация, параметры генерации, этапы обучения * **Опыт с генеративными моделями и понимание, как их оценивают:** метрики, бенчмарки, human evaluation, Model-as-a-judge и его ограничения * **Продуктовое мышление**: связывать тестирование с реальными пользовательскими сценариями и понимать, какие ошибки критичны для продукта, понимать влияние результатов на релиз и дальнейшее развитие модели. * **Python на продакшн-уровне:** чистый код по PEP 8, ООП и типовые паттерны проектирования, аннотации типов, привычка к линтерам и статическому анализу (ruff, mypy). Создаете и поддерживаете production-код eval-пайплайнов, читаете и ревьюите чужой. **Будет плюсом:** R&D-опыт или участие в создании бенчмарков; мультимодальные модели (изображения, видео, аудио); evaluation-фреймворки и harness; RAG; работа с асессорами; coding-агенты (Claude Code, Codex, Cursor); опыт работы с оркестрацией: LangGraph, OpenClaw, навыки вайбкодинга и AI-assisted coding **Стек:** Python, pandas, NumPy, PyTorch, HuggingFace (transformers, datasets), vLLM, SGLang, инференс-API, S3, Git, Docker, CI/CD, Linux, Bash. Условия * комфортный современный офис рядом с м. Кутузовская * гибкий формат и удаленной работы, в т.ч. на территории РФ * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

О компании: AI HealthTech стартап создает продукты, которые трансформируют привычные процессы в здравоохранении, делают их более эффективными и меняют мир к лучшему. Для кого: Команда в поиске Technical Customer Support Engineer, который поможет с нуля выстроить современную систему Customer Support. Предстоит не только помогать пользователям решать возникающие вопросы, но и запускать процессы поддержки, настраивать инфраструктуру, создавать базу знаний и постепенно автоматизировать рутинные задачи. В будущем команда планирует активно развивать AI-направление, поэтому будет большим плюсом опыт использования AI-инструментов и low / no-code решений для автоматизации процессов. Пользователи очень разные: от врачей и администраторов клиник до пациентов и корпоративных клиентов. Важно уметь объяснять сложные вещи простым языком, при этом разбираться в технических вопросах и помогать развивать процессы поддержки. Основные задачи: Вести техническую клиентскую поддержку: диагностика проблем, сбор контекста, приоритизация и сопровождение запросов до полного решения. Настроить процессы Customer Support: Service Desk, категории обращений, SLA, маршрутизацию, шаблоны ответов и метрики качества. Создавать и поддерживать базу знаний: инструкции, FAQ и сценарии для разных типов пользователей. Настраивать low / no-code интеграции и автоматизации: связки почты, мессенджеров, CRM, Service Desk и других инструментов. Искать возможности для автоматизации процессов поддержки с помощью AI-инструментов. Проводить онбординг новых клиентов и сопровождать их в работе с продуктом. Работать с командами продукта и разработки: оформлять bug-репорты, воспроизводить проблемы, собирать обратную связь и улучшать пользовательский опыт. Что ожидаем: Опыт работы в Customer Support, Technical Support, Customer Success или смежной роли от 2 лет. Опыт работы с Service Desk системами (Omnidesk, Jira Service Management, Intercom или аналогами). Понимание процессов поддержки, SLA и ключевых метрик (FRT, TTR, CSAT, FCR). Опыт взаимодействия с командой разработки и составления структурированных bug-репортов. Умение объяснять технические вопросы простым языком. Самостоятельность, высокий уровень ответственности и желание строить процессы практически с нуля. Английский язык — от Upper-Intermediate. Будет плюсом опыт использования AI-инструментов, а также low / no-code платформ (n8n, Make, Zapier и др.) для автоматизации процессов поддержки. Условия: Работа в стартапе: динамичная среда и быстрые итерации. Оформление: ГПХ (после ИС возможен переход на ТК) Возможность построить Customer Support практически с нуля и влиять на развитие процессов. Высокая автономность и ориентация на результат. Взаимодействие с сильной командой инженеров, продуктовых специалистов и экспертов в области медицины.

Задачи: — Проектировать и разрабатывать multi-agent системы. — Интегрировать LLM с внутренними инструментами и сервисами. — Разрабатывать backend-сервисы и API для agent workflows. — Реализовывать RAG pipelines и tool/function calling. — Создавать CLI-based agent workflows и инструменты автоматизации. — Разрабатывать Computer Vision pipelines: object detection, multi-object tracking, person re-identification. — Разрабатывать multi-camera multi-person tracking для сетей камер. — Работать с видеопотоками в реальном времени и оптимизировать GPU inference. Требования: — Опыт работы с Node.js ecosystem и Express.js. — Уверенное владение Python. — Опыт работы с LLM APIs и prompt engineering. — Опыт работы с RAG, tool calling или agent frameworks. — Знакомство с Docker, Linux и Git. — Опыт работы с PyTorch и OpenCV. — Опыт в object detection и multi-object tracking. — Опыт работы с YOLO, ByteTrack / BoT-SORT или аналогами. — Понимание person re-identification и vector search. — Опыт работы с Milvus / FAISS. — Опыт обработки видео с ffmpeg / GStreamer. — Работа с RTSP и hardware decoding. Будет плюсом: — Опыт в NLP и ML. — Опыт развёртывания open-source LLM. — Опыт оптимизации inference. — Опыт работы с Vision-Language Models. — TensorRT / ONNX Runtime. Условия: — Удалённый формат работы. — Заработная плата: 1.600–3.200 USD net в месяц.

Location: Monclova, Mexico Our client builds the physical infrastructure behind some of the fastest-moving industries in the world. They are a U.S.-based turnkey contract manufacturer serving energy storage, data centers, defense, HVAC and structural steel, with multiple large-scale plants across the United States and a joint venture operation in Monterrey. What they make is heavy and precise at the same time. Welded enclosures. Modular process skids. Modified ISO containers. Battery energy storage systems that get fully integrated, wired and tested before they ship. Their capabilities run end to end: engineering, metal fabrication, coatings, mechanical and electrical integration, battery installation and end-of-line testing. None of that works without a supply base that performs. That is where you come in. We are hiring a Supplier Quality Engineer to own supplier qualification, auditing, performance and corrective action across their supply base. You will spend most of your time at supplier facilities, not behind a desk. You will walk a fabrication floor and know within an hour whether the process is capable. You will look at a weld and know whether it meets the print. You will run a corrective action to real root cause instead of accepting a containment plan dressed up as a fix. The supply base spans Mexico, the United States and Asia, so this role travels roughly 80% of the time and requires you to live near a major airport. What you will do Conduct supplier audits, capability assessments and process evaluations against engineering and quality standards Support supplier onboarding through First Article Inspections, PPAP submissions and technical validation reviews Review supplier quality documentation including control plans, PFMEAs, process flow diagrams and inspection reports Drive Supplier Corrective Action Requests using structured root cause methodology (8D, 5 Why, Fishbone) Track supplier KPIs: defect rates, on-time delivery, cost of poor quality and corrective action cycle time Work with Engineering to define inspection criteria, critical characteristics and acceptance standards Support APQP activities for new product launches and engineering changes Investigate nonconforming material and coordinate containment, corrective action and disposition Maintain supplier performance dashboards and quality reporting Partner with Procurement on sourcing decisions based on quality risk and supplier capability Perform dimensional inspections, weld reviews and documentation audits Drive continuous improvement to reduce scrap, rework and supplier-driven production disruption Requirements Must have Bachelor's degree in Engineering, Quality, Manufacturing or a related technical field 4+ years in supplier quality, quality engineering or manufacturing quality in an industrial environment Hands-on experience conducting supplier audits and capability assessments Strong working knowledge of metal fabrication, machining, welding processes or electro-mechanical assemblies Ability to read and interpret engineering drawings, GD&T and welding symbols Working knowledge of ISO 9001, APQP, PPAP, FMEA and control plans Experience with root cause analysis tools and statistical process control Proficiency with ERP systems and Excel-based data analysis Professional English, spoken and written. You will audit, negotiate and report in English Ability to travel approximately 80%, including internationally, with valid documentation Based in or willing to relocate to the Monclova area Nice to have CQE, CQA or Six Sigma certification AWS CWI, NACE or SSPC coating inspection credentials, or NDT certification Familiarity with AWS D1.1 welding standards, WPS and PQR review, and welder qualification Experience in modular fabrication, energy systems, BESS or defense manufacturing Experience auditing suppliers across multiple countries Experience supporting multi-site manufacturing operations Who tends to do well here Engineers who are comfortable being the only company representative in a supplier's plant, who can hold a firm position on a quality issue without turning it into a fight, and who would rather fix the process than file the report. If you have ever walked into a supplier audit expecting a routine day and left having rewritten their inspection plan, this role will feel familiar. Benefits Work for the most exciting companies in the North American Market Highly competitive compensation.