Machine Vision And Aoi Sr Engineer Jobs

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Plaid’s Network Health team protects Plaid and our network from fraud and abuse. We build robust, intelligent yet flexible risk platforms and services to empower risk detection, mitigation, and resolution across all Plaid products and applications. As Engineering Manager for Network Health, you will lead a growing, deeply technical team responsible for risk engineering at Plaid. You will set the long-term strategy and roadmap, translate evolving fraud scenarios and business requirements into technical priorities, and drive execution with a high technical bar. You will manage and grow software engineers, partner closely with embedded data scientists and machine learning engineers, and work hands-on with the data to identify trends and opportunities. This role is well suited to a high-agency leader who thrives in ambiguity and wants to remain close to the work while shaping a critical new team. Responsibilities: You’ll lead a team of 5 engineers and 2 embedded data scientists, developing them through clear goal setting, coaching, and feedback. You’ll drive the long-term Network Health strategy and roadmap, in close partnership with technical and product leaders across Plaid You’ll u

InMobi (Corporate) InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. InMobi Advertising InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com. Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. About InMobi InMobi is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses, including independently operated consumer platform Glance, InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned an

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The AI/ML systems that power this platform are not auxiliary features. They are the product. Open Problems The agentic era is reshaping every layer of the hiring stack. These are some of the core problems you'll be working across, none of them fully solved. Chakra: Building an autonomous AI interviewer that conducts, adapts to, and evaluates technical interviews end to end. Integrity: Detecting fraud and suspicious behavior across multiple signal types. The ways candidates game assessments change frequently, and the models need to keep up. Evaluation: Measuring technical skill in a world where AI writes the code. The old proxies no longer hold and the new ones have not been defined yet. Your focus will shift across these depending on where the highest-leverage work is at any given time. What you will do Research, Design, and Develop advanced Deep Learning models and novel Neural architectures. Explore architectures beyond Transformers, including State Space Models (SSMs), Liquid Neural Networks (LNNs), and Hybrid approache

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

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 As a Member of Technical Staff in Post-Training Data Infrastructure, you will build and own the pipelines that produce the post-training data for our large language models (LLMs), from SFT and RL data to synthetic and human-annotated data. You will work closely with researchers and annotation teams so they can iterate on data as quickly as they iterate on models. Key Responsibilities Build and maintain data pipelines for SFT, preference, and RL post-training data. Own dataset quality, versioning, and reproducibility. Turn research data recipes into production-grade, reusable components. Scale model inference for data generation and model-based grading. Design data formats and schemas that keep post-training datasets consistent and efficient to train on. Collaborate with researchers and engineers to make sure data pipelines keep pace with the needs of cutting-edge language models. Qualifications Strong software engineering skills. Experience designing and building large-scale data pipelines for machine learning, ideally for LLM post-training. Track record of running distributed data processing and model inference at

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 Celonis Services is the delivery engine of our Celonis Customer Organization, responsible for turning the Celonis platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated: as AI agents like our own Apollo take on more of the technical build, our people focus on the work that drives real impact—understanding our customers' business-critical problems, designing the solutions that solve them, and quantifying the value delivered. Our Deployment Engineers and Deployment Architects pair deep domain and industry expertise with serious platform mastery and AI-augmented delivery, directing agentic systems while owning the judgment, architecture, and customer relationships that AI cannot replace. We deliver faster and smarter than ever, and we own the outcome: solution go-live, solution adoption, initial value realization support and the long-term success of our customers. The Role As a Lead Project Manager, you will support end-to-end implementations of Celonis’ technology across our largest and most strategic customers. You will articulate Celonis’ product positioning to customers and collaborate with Sales, Partners and Value Engineering to deploy our platform, identify and

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Lead Director, Technology Product Management for Medicare Claims is accountable for shaping the strategy, roadmap, performance, and modernization of the technology products and platforms that support claims administration for more than 4 million Medicare members. As the organization transitions to a product operating model, this leader will help establish and mature the product structure, practices, accountabilities, and cross-functional ways of working needed to improve claims accuracy, automation, timeliness, reliability, compliance, and operating efficiency. The Lead Director will partner closely with business, engineering, data, architecture, operations, and delivery leaders, as well as strategic software vendor partners, to translate claims, regulatory, operational, and technology needs into prioritized investments, aligned roadmaps, and measurable outcomes across a complex enterprise ecosystem. Given the significant role of vendor-provided platforms in the claims product, this leader will influence vendor roadmaps, align modernization priorities, manage critical dependencies, partner with release management on complex releases, and hold internal and external partners accountable for product performance and business outcomes. This role also leads and develops product management colleagues, strengthens product capabilities, and helps teams evolv

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: The Multifamily Data organization is seeking a Senior Business Lead, Data Governance Strategy & Execution to help shape and execute the future of data governance across Multifamily. As Multifamily expands self-service access to data and enables new analytics, automation, and AI capabilities, trusted and well-governed data has become a strategic business imperative. This role will lead efforts to evolve governance from manual processes and one-time reviews into scalable capabilities embedded within our data platform, data products, and delivery processes. Working across business, technology, risk, privacy, compliance, and data teams, this leader will drive the strategy and execution needed to ensure Multifamily data is trusted, transparent, reusable, and fit for purpose. The role will also help establish the governance foundations necessary to support responsible AI adoption and ensure alignment between data governance and emerging AI governance requirements. Our Impact: Multifamily Data is transforming how data is managed, delivered, understood, and consumed across the business. Our mission is to provide a trusted data foundation that enables better business decisions, operational efficiency, regulatory compliance, advanced analytics, and AI-driven innovation. Through modern data platforms, trusted data products, and strong governance practices, we are improving transparency, strengthening data quality, and making data easier to discover, understand, and use. As Multifamily continues its data modernization journey, governance must evolve alongsi

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Strategy & Planning Advisor within PNC's Enterprise Change Office, you will be based in Pittsburgh, PA, Cleveland, OH, Columbus, OH, or Dallas, TX. This role offers the opportunity to operate at the enterprise level, partnering directly with senior leaders to shape prioritization, investment decisions, and execution outcomes across PNC. This position is a key member of the Strategic Portfolio Management team and plays a critical role in enabling enterprise portfolio execution by coordinating portfolio routines, enabling prioritization processes, and ensuring consistent application of strategic traceability across initiatives. The role partners closely with leadership across business, finance and technology teams and strategic planning stakeholders to provide transparency, analysis, and operational support that enable effective portfolio prioritization, decision-making and alignment across all lines of business. The role operates with visibility and infl

Zoox is looking for an experienced technical program manager on our Advanced Hardware Manufacturing Operations team to support development of manufacturing capacity for hardware assemblies used on our autonomous vehicle platform. This is a high visibility, strategic and technical role driving complex manufacturing capacity upgrades and expansion. In this role you will plan and own multiple capital expenditure (CapEx) projects from early concepts through final commissioning, supporting manufacturing of critical subassemblies on both current and next-generation vehicle platforms. You will partner with internal Zoox engineering teams and external partners to develop the capacity to deliver these key pieces of our autonomy hardware stack to the fleet at scale. In this role you will Manufacturing Project Lifecycle Management: Drive the planning, detailed engineering design, and execution for complex manufacturing facility upgrades and line implementation. External Partner Interface: Act as the primary technical liaison, managing relationships, schedules, and deliverables with both equipment integrators and engineering partners. Cross-Functional Integration: develop project level RASICs and build strong relationships across Manufacturing, Hardware, Facilities, Program Management and Supply Chain. Communication: Lead and prepare updates for department, program steering team and leadership level meetings. CapEx & Risk Mitigation: Own integrated program schedules from design through equipment installation and commissioning. Track capital expenditure budgets and proactively resolve critical path risks to ensure seamless operational readiness. Qualifications BS/MS in Industrial, Mechanical, Manufacturing Engineering, or a related discipline. 8+ years of TPM or operations experience, wi

The Operations Program Manager (OPM) role at Zoox will develop processes in Manufacturing Operations, and be responsible for complex hardware assemblies, and ensure product performance and scalability to meet the Demand Plan at Zoox. This role sits within the Advanced Hardware Manufacturing Operations Team at Zoox. The role will manage the overall production readiness, including metrics and daily reporting, alignment of production schedule to demand, overall material readiness and coordination between different production stages, through Testing and validation, and manufacturing at scale. In this job, you will Own the program for scaling the hardware products. Oversee operations, planning, and execution of production. This role will combine both tactical and strategic planning to ensure lines stability Report on daily, weekly, and monthly in both cross functional meetings and written update on metrics required to scale the product including triaging issues as they occur Leverage Zoox knowledge across engineering, supply chain, and manufacturing to ensure line stability and meet the demand plan Monitor weakness in supply chain such as Memory component, component availability, manufacturing readiness, release dates / cut-overs and capacity planning. Work cross-functionally with manufacturing, test engineering, procurement, and supplier quality teams to support ramp readiness. Communicate overall engagement, project status, and risk clearly to management, calling out key issues. Develop options as needed for resolution with the cross-functional teams Support engineering and supply chain teams, by ensuring testing equipment milestones and first article approvals are included in the production plan. Qualifications Bachelor's degree 10+ years of combined relevant

About the team The Frontier Assurance team strengthens OpenAI’s safety decisions through independent expertise, rigorous assessment, and public transparency. We coordinate external evaluations of frontier models and safeguards, develop approaches such as embedded auditing, and manage the misalignment disclosure process and safeguard testing. Our work helps independent experts scrutinize OpenAI’s safety approach and ensures their findings inform consequential decisions about advanced AI systems. About the role As a researcher on Frontier Assurance, you will build the technical foundations for rigorous assessments of frontier AI risks. You will help design technical assessments with external evaluators and internal teams: identify consequential safety claims to test, define the evidence and methods needed to assess them, and address gaps in coverage. You will work closely with external evaluators and embedded auditors, helping them understand the systems they are assessing and access the models, data, and technical information their work requires. Where direct access is not possible, you will conduct experiments and analyses on their behalf, with methods and results they can meaningfully scrutinize. This role combines research engineering, experimental design, and close technical collaboration. You will move between investigating specific safety questions, navigating complex internal systems, and building reusable tools that make assessments more thorough and efficient. Your work will help turn independent scrutiny into concrete evidence about model capabilities, safeguards, and remaining risks. In this role, you will: Help design assessments with external evaluators and internal teams: identify consequential safety claims to test, define the evidence and methods needed to assess them, and address gaps in coverage. Support the technical execution of third-party assessments and embedded audits focused on frontier risks, working with evaluators to translate research que

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Controller is the critical link between Nuro Driver's upstream autonomy stack and physical vehicle platform — translating planned trajectories into safe, precise, real-world motions. As a Senior/Staff Controls Engineer, you'll design and deploy production controls software that powers L4 autonomous driving across an expanding operational design domain, from parking lots to highways, in all weather and road conditions. You'll work alongside world-class engineers across autonomy, hardware, and systems to solve problems that don't have textbook answers and see your work running on real vehicles globally. About the Work Develop robust, reliable and optimized production-level control software following safety standards (ISO 26262). Develop seamless interactions between planner and controller and advanced control strategies for expanded ODD including parking lot maneuvers through highway driving under various weather condi

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 We're hiring a Sales Manager to build and lead a team of Enterprise Account Executives. Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, and healthcare. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost. You'll recruit and develop reps, run deals alongside them while the team ramps, and contribute to the playbook for how Baseten wins enterprise. It's a high-influence seat, close to our founders and GTM leadership. RESPONSIBILITIES Recruit, hire, and ramp a team of Enterprise sellers Coach reps through long, multi-stakeholder cycles: multithreading across buying committees, navigating security and procurement, and closing seven- and eight-figure deals Raise the bar on consultative selling. Your reps should be advising customers on AI strategy, not just running a product evaluation Partner on shaping and executing go-to-market strategy for your territory, including which verticals to attack first Operate as a player-coach, carrying deals yourself while the team builds Stay deep enough on the product to guide reps through technical evaluations, POCs, and architecture reviews alongside our forward-deployed engineers Work with Marketing, Product, Engineer

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We're looking for a dedicated Technical Account Manager (TAM) who will have the exciting opportunity to collaborate closely with our Logistics customers, guiding them in effectively and efficiently operating Altana's platform. As a TAM, you'll be the driving force behind user adoption, product enablement, and value realization, ensuring overall customer success. You'll be our customers' champion, serving as their day-to-day relationship manager, conducting regular check-ins, and leading Quarterly Business Reviews (QBRs). Additionally, you'll be instrumental in developing pipelines for product usage, up-selling, and cross-selling expansions. You Will Manage strategic accounts across the world’s largest logistics service providers, driving measurable impact through strong stakeholder alignment, adoption, and growth across global operations. Drive the onboarding and adoption process for new users, making sure they harness the full potential of Altana's offerings. Assist customers with in-depth analysis to optimize their experience and results. Collaborate with our product and implementation engineering teams to ensure successful delivery of customer contracts and consistent product improvements. Own customer calls and Quarterly Business Reviews, leveraging data-driven insights to astonish our clients while promptly relaying valuable feedback to the appropriate teams. Balance strategic thinking with tactical execution, connecting day-to-day account management with broader commercial and product goals. Collaborate with Account Executives to identify and capitalize on expansion opportunities, transforming them into reality. Be held accountable for effectively synthesizing and communicating feedback to the product team. About You 5+ years of account management e