Machine Vision And Aoi Sr Engineer Jobs

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. Payment Intelligence Our mission is to make GoCardless the best way to pay and be paid. Our ambition is to dramatically improve payment performance and safeguard our customers from bad outcomes like payment fraud and failures. You will help find data opportunities and areas to improve our payment intelligence products. You should be comfortable with large data sets, customer data, and machine learning principles. You’ll work alongside Product Managers, Engineers and Data Scientists in our two core Payment Intelligence teams to provide critical insights and help drive product direction. Our existing Payment Intelligence Products are already one of the key reasons why customers choose GoCardless. These include Protect+, which defends customers from fraud, and Success+, which helps customers intelligently recover failed payments. You will need to own our understanding of these products and identify insights and opportunities to help us develop new intelligent features. What You'll Do At GoCardless analytics is at the core of everything we do and drives business performance through d

About the Team Training Runtime designs the core distributed runtime that powers everything from early research experiments to frontier-scale model runs. We build robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, accelerating progress towards AGI. Within Training Runtime, the Runtime Foundations team develops the distributed OS responsible for orchestrating the large numbers of processes that make up modern training workloads and providing all necessary observability and resilience to operate in frontier scale environments. Our runtime sits beneath training frameworks and on top of research infrastructure, ensuring jobs run reliably across massive clusters while maintaining performance, stability, and observability. Success for us is measured by both system reliability and researcher velocity - enabling ideas to scale from experiments to production training runs. About the Role As a Training Runtime: Runtime Foundations Engineer , you will work on the software that ties thousands of computers together and exposes them as a unified system. This system has to serve individual researchers running multiple parallel experiments, as well as our largest training runs spanning 100’s of thousands and even millions of machines and accelerators. This requires easy to use, introspectable systems that can promote a fast debugging and development cycle, as well as relentless optimization for scale while maintaining stability and performance throughout. You will work primarily in Codex + Rust , building high-performance asynchronous systems with a strong emphasis on performance, correctness, resilience, and scalability. Working at this scale and at the frontier of AI development poses novel challenges. We support many different types of research, and the problems you will be working on are highly ambiguous and require a superb ability to jump into novel d

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta’s Sales Development Representatives are high energy professionals that drive the demand, awareness, and interest for our market-leading cloud Security solutions. You will partner and collaborate closely with members of our Account Executive and Marketing teams to generate qualified sales leads, set meetings, and yield new deal opportunities. We're looking for professionals with strong organizational and follow up skills who work well in a team What you'll do: Uncover and approach prospects to generate new business opportunities to fuel the sales pipeline Help create and prioritize strategic target account lists within a defined territory Research and build new and existing accounts (i.e.: adding contacts, emails, strategic calling) Conduct high-level conversations with Senior Executives in prospect accounts Evangelize Okta and the On-Demand mode Achieve monthly quotas of qualified opportunities and closed business Who you are: Previous prospecting experience Experience in working to sales targets, KPIs or under time pressure would be a plus Salesforce.com experience Excellent written/verbal communication skills Strong problem-solving skills Highly motivated, driven and self-starting individual who is goal orientated Ability to work in a fast-paced, team environment Ability to understand customer needs and meet that need with a successful product sale Excellent time management/organizational skills A passion for the Tech/ Saas indust

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 , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations. Networking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed. In this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts. RESPONSIBILITIES Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helpin

About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization, working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent. About the Role You will own and execute long-term talent strategies to identify, engage, and recruit many of the world’s leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role. You will operate as a strategic partner to OpenAI’s research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission. In this role, you will: Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve. Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist. Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles. Serve as a trusted advisor throughout candidate evaluation and closing — helping leaders calibrate for research excellence, long-term potential, and organizational fit. Collaborate closely with your sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains. You might thrive in this role if you: Significant experience recruitin

Join Artefact Belgium: Help our clients in their AI transformations Who We Are Artefact is a next-generation consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in AI applications to help clients achieve tangible business impact. Our Belgium office advises clients on their most pressing strategic challenges : from AI strategy and governance to digital transformation roadmaps and new business model design. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth. What You Will Do As a Senior Data Scientist specializing in the marketing domain, you will lead and conduct ambitious projects aimed at transforming clients through data. Your day-to-day responsibilities will include: Leading transformational projects: spearheading ambitious projects that utilize data to transform our clients’ operations and strategies. Developing data science solutions: creating innovative data science products and solutions for both clients and our internal data science team. Applying data science in marketing contexts: leveraging data science methodologies to enhance marketing analytics, customer segmentation, attribution modeling, and campaign optimization . Building client relationships: collaborating closely with your Consulting counterpart to understand client needs and strengthen relationships. Upskilling the team: contributing to the development of our data science team by sharing knowledge, mentoring junior Data Scientists, and promoting our work within other data departments. Ensuring quality deliverables: caring for team morale and ensuring that all missions are delivered to a high standard, providing feedback and support to less experienced team members. Optimising code: writing highly optimized code to advance Artefact’s internal toolbox and knowledge base. What you will learn with us: Real-World impact: deliver impactful projec

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. To strengthen our efforts, we are hiring a Senior ML Engineer who will work end-to-end on creating and improving new capabilities to detect changes in the environment and reflect them in our Lyft map using a wide variety of input sources from the Lyft fleet. For this we are looking for someone who values software engineering best practices, loves the algorithmic and geospatial side of the challenge and is data-driven from start to end. Our technology stack ranges from basic machine learning models to large language models and running them at scale on millions of images. You will work with incredibly passionate and talented colleagues from machine learning, data science, and engineering on projects that delight our passengers and drivers – powered by an up to date map. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing proble

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission Zocdoc's mission is simple and hard: give power to the patient. We are the nation's leading digital healthcare marketplace — connecting millions of patients to the right care, faster than ever. The Data & Analytics team is at the center of how Zocdoc grows, evolves, and makes high-stakes decisions at scale. As a Sr/Staff Data Scientist you will be one of the most senior analytical voices at the company — a strategic thought partner to directors and senior leadership across Product, Marketing, Sales, Finance, Revenue, Operations, Customer Experience, and Platform. You'll work on some of Zocdoc's most complex and ambiguous business problems — where the question itself isn't always defined, and the right method doesn't fit neatly into a playbook. You'll lead the analytical strategy, apply rigorous experimentation and causal inference frameworks at scale, and turn structured thinking into decisions that shape how Zocdoc grows. This is a high-visibility, high-impact individual contributor role. Success here is measured not just by the q

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team You will be joining the Celonis Services team. Our team’s mission is to drive product success along three core principles: simplicity, focus, and execution. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is based on diversity, trust, continuous development, and improvement with people from across the globe. The Galaxy program unites Celonauts across different locations into one dedicated onboarding program which develops recent graduates into well rounded, skilled Services professionals in 12 months. The Role In this role you have the chance to launch your career in the enterprise software world by joining the Galaxy Graduate Program as an Associate Deployment Engineer. The Galaxy Program will provide you with a structured approach to kick start your career within Celonis, learning and delivering value to our customers, over a period of 12 months. In particular, Galaxy’s cohort structure will develop your expertise across the Celonis value journey with a focus on learning the technology, implementation cycle, approaches to innovation and automation, enablement, support, and custo

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team You will be joining the Celonis Services team. Our team’s mission is to drive product success along three core principles: simplicity, focus, and execution. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is based on diversity, trust, continuous development, and improvement with people from across the globe. The Galaxy program unites Celonauts across different locations into one dedicated onboarding program which develops recent graduates into well rounded, skilled Services professionals in 12 months. The Role In this role you have the chance to launch your career in the enterprise software world by joining the Galaxy Graduate Program as an Associate Deployment Engineer. The Galaxy Program will provide you with a structured approach to kick start your career within Celonis, learning and delivering value to our customers, over a period of 12 months. In particular, Galaxy’s cohort structure will develop your expertise across the Celonis value journey with a focus on learning the technology, implementation cycle, approaches to innovation and automation, enablement, support, and custo

We are TRADER , a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca , AutoSync , Dealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence. Learn more at tradercorporation.com . As part of AutoScout24 group , Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond. As Senior Data Scientist , you will be key contributor within our global Data Science organization, shaping AI and machine learning systems that sit at the core of our marketplace platforms across Europe and Canada. You design, build, and operate machine learning and GenAI systems that run in production and matter to the business. You work on complex, ambiguous problems, exercise strong technical judgment, and take responsibility for outcomes - not just models. While this is a hands-on role, you are also expected to influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed. This position is permanent and based in Toronto. What you’ll do Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints Mentor other data scientists through hands-on technical guidance, design revi

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Commercial LATAM Team Account Executives at Okta strive to help prospects and customers modernize IT, build customer experiences, and prevent breaches by mapping our solutions to their needs. By understanding the specific challenges that both prospects and customers are faced with, you will help them achieve the desired positive business outcomes with our solutions. You will cultivate tight-knit relationships with customers and key partners while maintaining knowledge of Okta’s evolving technology. In this high-velocity role, expect to own deals from cradle-to-grave in collaboration with account teams, sales engineers, professional services, and partners. The Sr. Commercial Account Executive Opportunity Reporting to the LATAM Area Sales Director, Commercial Sales, Okta’s Sr. Commercial Account Executive manages the sales processes for commercial customers (less than 2000 employees) located in the northern LATAM region. The right candidate for the position will enjoy closing new logos while simultaneously managing and expanding a book of install base customers. Our AE’s organize and conduct sales presentations, site visits and product demonstrations to prospects and represent Okta in a consistent, effective and professional manner to best develop and win new clients. What you’ll be doing Manage the sales process for small to medium-sized new logo customers from demo to contract negotiation Expand business within existing Okta customer

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Commercial LATAM Team Account Executives at Okta strive to help prospects and customers modernize IT, build customer experiences, and prevent breaches by mapping our solutions to their needs. By understanding the specific challenges that both prospects and customers are faced with, you will help them achieve the desired positive business outcomes with our solutions. You will cultivate tight-knit relationships with customers and key partners while maintaining knowledge of Okta’s evolving technology. In this high-velocity role, expect to own deals from cradle-to-grave in collaboration with account teams, sales engineers, professional services, and partners. The Sr. Commercial Account Executive Opportunity Reporting to the LATAM Area Sales Director, Commercial Sales, Okta’s Sr. Commercial Account Executive manages the sales processes for commercial customers (less than 2000 employees) located in Brazil. The right candidate for the position will enjoy closing new logos while simultaneously managing and expanding a book of install base customers. Our AE’s organize and conduct sales presentations, site visits and product demonstrations to prospects and represent Okta in a consistent, effective and professional manner to best develop and win new clients. What you’ll be doing Manage the sales process for small to medium-sized new logo customers from demo to contract negotiation Expand business within existing Okta customers by building long-

Data Analytics – Senior Consultant Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Unlock insights. Empower decisions. Shape the future of financial services. The Role We're expanding our UK Data Practice and looking for talented Data Analytics Consultants to join our award-winning team. You'll lead cutting-edge data transformation programmes for top-tier Financial Services institutions, helping clients unlock value, improve operational efficiency and gain a competitive advantage through data-driven decision-making. You'll also embrace AI-enabled ways of working, using approved AI tools where appropriate to enhance analysis, accelerate delivery and improve the quality of client outcomes while applying sound judgement and responsible AI practices. What You'll Do Lead and deliver complex data analytics initiatives across major Financial Services clients, translating data into meaningful business insights and measurable outcomes. Apply predictive modelling, segmentation and risk analytics to solve client challenges, leveraging AI-enabled analytical techniques where appropriate to accelerate insight generation and support better decision-making. Design and develop dashboards using Power BI, Qlik or Tableau, delivering intuitive visualisations that enable business stakeholders to act with confidence. Interpret large, complex datasets and provide actionable recommendations through advanced analytical techniques, combining technical expertise with critical thinking and human judgement. Support the growth of Capco's UK and Global Data Practice by contributing to innovation across analytics, AI and machine learning, sharing knowledge and encouraging modern, AI-enabled delivery approaches. What We're Looking For Strong ability to acquire, manipulate, analyse and interpret large volumes of complex data to solve business problems. Experience delivering predictive and diagnostic analytics across areas such as customer lifetime value, risk scorin

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role As a Senior Software Engineer on Sentry’s AI/ML team, you’ll be responsible for building the evaluation infrastructure that measures the accuracy, reliability, and real-world performance of our AI systems. This role is critical to ensuring that our debugging agents and AI-powered features behave correctly, safely, and predictably as they scale. You’ll design datasets, benchmarks, and test harnesses that turn ambiguous AI behavior into measurable signals, helping the team ship AI with confidence. In this role you will Design and build robust evaluation frameworks to measure accuracy, reliability, regressions, and edge cases in AI systems Create and curate high-quality datasets, golden test cases, and benchmarks grounded in real production data Build automated test harnesses and metrics pipelines to continuously evaluate models, prompts, and agentic workflows Partner closely with applied AI engineers and product leaders to define what “good” looks like and translate it into measurable criteria Own the evaluation lifecycle for major AI initiatives, from early experimentation through production monitoring You’ll love this job if you Care deeply about correctness, rigor, and measurement in AI systems Enjoy turning fuzzy product goals and model behavior into concrete tests and metrics Like building foundational infrastructure that unlocks faster iteration and higher confidence for the entire AI team Thrive in cross-functional environments and enjoy influencing model design through better evaluation Qualifications Minimum 5+ years of professional experience with a Bachelor’s degree in computer science, machine learni