Jobs in United States

Ai Application Packaging Engineer in United States

5,418 active opportunities · Updated October 2026

Explore current ai application packaging engineer jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 New York, NY, United States
✓ High-confidence listing

$175K – $275K/yr

Quick readStrong listing-quality and freshness signals

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Develop and maintain the information security policy and standards library, aligning it with business priorities, regulatory expectations, and control objectives Lead independent assessments of the information security program, including regulatory examinations and third-party evaluations Identify technology risks across a complex business environment and drive mitigation aligned with our firm’s standards and control expectations Investigate data privacy inquiries and privacy-related events, assess business impact, and coordinate timely response activities Partner with technology, legal, compliance, and business stakeholders to translate risk findings into practical remediation plans Advise control owners on policy interpretation, risk treatment, and evidence expectations for assessments and examinations Prepare clear reports for management on team activity, emerging risks, remediation progress, and key decisions Maintain accurate risk, policy, priv

Artificial IntelligenceAI
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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -84.1%
Quick readStrong listing-quality and freshness signals

About the Team Life sciences is one of the clearest areas where advances in intelligence can meaningfully benefit the world at large. The OpenAI Life Sciences team works at the intersection of advancing frontier life sciences model capabilities and building products to help scientists accelerate their research and leverage the full potential of AI for scientific work. Rosalind Workbench brings together the scientific tools, data sources, interactive biology file viewers and core life sciences workflows into a central environment to help scientists investigate questions, design experiments, analyze results, and advance discovery. Rosalind Workbench can be used with any OpenAI model, including GPT-Rosalind--our dedicated life sciences model, which combines frontier reasoning with specialized tool orchestration across medicinal chemistry, genomics, wet-lab assistance, and other scientific applications. Our long term vision is for teams of agents to work together across these domains, giving researchers access to broader expertise and the ability to pursue more ambitious scientific questions. About the Role We’re looking for a Product Manager to shape Rosalind Workbench for life sciences. You will own product strategy and execution, working directly with researchers in academic labs, biotech, and pharma to understand where AI can meaningfully improve their work. You’ll partner with engineering, research, design, and customer-facing teams to turn emerging capabilities into intuitive products that scientists return to. This role calls for strong product judgment, depth in life sciences, and the ability to move from an ambiguous research problem to a focused, shippable experience. In this role, you will have the opportunity to define the future of AI guided scientific discovery and build the capabilities and tools that help advance the scientific frontier for researchers and help increase the accessibility of model intelligence for scientific use. This is a chance to shape

Artificial IntelligenceAIProcurement
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📍 California, Santa Clara, United States
✓ Quality checkedCompany trend +116%

Job Details: Job Description: The Role and Impact As a GPU Platform Hardware Design Engineer, you will play a pivotal role in designing and developing high-quality GPU hardware platforms that drive innovation in high-performance computing, graphics, and visualization technologies. You will lead the design process from initial feasibility studies through board layout, tapeout, and platform power-on, ensuring robust functionality and compatibility with industry standards. Your expertise in platform-level requirements, electrical engineering applications, and system bring-up will directly contribute to delivering cutting-edge GPU systems that accelerate Intel's leadership in computing. Business group The Data Center Group (DCG) is dedicated to advancing Intel's role in powering the digital world with leading-edge technologies. Focused on delivering innovative solutions for data center and cloud environments, DCG supports high-performance computing and graphics to enable capabilities such as AI, machine learning, and advanced visualizations. As part of the GPU IP Engineering team within DCG, you'll contribute to developing GPU systems that meet the evolving demands of the industry while supporting Intel's broader mission to create world-changing technology. Key Responsibilities - Design, develop, and evaluate electronic components, PCBs, and integrated circuits for GPU hardware platforms. - Translate platform-level requirements into detailed specifications and ensure adherence throughout the design process. - Define component placement and trace routing rules to optimize board layouts for performance, power, and signal integrity. - Conduct feasibility studies, board layout, tapeout, and platform power-on activities. - Perform functionality tests and utilize tools to verify platform configurations and compatibility. - Research, develop, and validate firmware, hardwa

Machine LearningAIRecruitment
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📍 New York, New York, United States· Full-time
✓ High-confidence listing

$960K – $1.2M/yr

Quick readStrong listing-quality and freshness signals

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The IT team helps keep Affirm’s people productive, connected, and secure by supporting the technology employees rely on every day. We manage and support end-user devices, enterprise applications, office technology, and IT infrastructure while maintaining a strong focus on security, compliance, and a seamless employee experience. Our team works across a broad range of technologies and partners closely with employees throughout the company to troubleshoot issues, improve processes, and build reliable, scalable solutions as Affirm grows. We’re seeking a flexible IT Support Administrator to help manage and support Affirm’s New York City office and technology infrastructure. Our ideal candidate excels in troubleshooting and problem-solving, with respect for compliance, and documentation. As a Support Administrator of a rapidly growing company, you will be the backbone of IT, with efficiency, security, and customer satisfaction being your primary objectives. What You'll Do: Locally support and troubleshoot users within our NYC office Remotely support and troubleshoot our end user’s problems Educate on and enforce our IT compliance and policy obligations Maintain our Zoom Rooms and AV hardware within conference rooms Monitor for security threats and malware, staying ahead of the curve to protect our users Occasionally maintain the in-office, local network infrastructure Maintain enterprise systems and company IT assets such as servers and desktops What We Look For: Experience with macOS administration and support Ability to improvise and find immediate solutions Experience managing formal ticketing systems Experience administering SaaS technologies Flexibility to work with all types of technology macOS, Windows, Printers, Network devices, etc. Experience with machine and account prov

RestAIGoExcel
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📍 O Fallon, Missouri, United States
✓ Quality checkedCompany trend +212.5%

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II Overview Join a team focused on transforming how Mastercard's payment systems are built, scaled, and operated. As a Software Engineer II, you will design and develop cloud-ready applications, microservices, and APIs that support large-scale payment processing platforms while helping advance modernization, automation, and engineering excellence across the organization. You'll work on scalable backend systems, contribute to platform modernization initiatives, and collaborate with engineers to deliver reliable software solutions. This role is ideal for someone who enjoys solving technical challenges, building production-ready applications, and continuously improving how software is designed, developed, tested, and supported. What You Will Do •Design software components by translating product requirements into scalable technical solutions. •Contribute to software architecture decisions and technical design discussions. •Build modular, extensible, maintainable, and performant applications. •Design, execute, and maintain unit, functional, and integration tests. •Apply secure coding practices throughout the software development lifecycle. •Participate in code reviews and contribute to engineering quality standards. •Support system performance optimization, scalability impr

JavaAIRecruitment
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📍 Mclean, Virginia, United States
✓ Quality checkedCompany trend -33.3%

From $32/hr

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. We are accepting applications for this position until 10/16/2026 Position Overview: Freddie Mac Multifamily is a dynamic organization that provides interns with meaningful opportunities to build both technical and professional skills while expanding their network across the business. As a Digital Product Analysis Intern, you will work alongside product, business, and technology teams to help deliver innovative digital capabilities that support Multifamily business objectives. This role is ideal for students interested in product management, business analysis, Agile delivery, and technology-driven solutions. You will gain hands-on experience translating business needs into product requirements, facilitating collaboration across teams, and supporting digital product development initiatives that create value for customers and business stakeholders. Our Impact: The Multifamily Digital Products team serves as a bridge between business needs and technology solutions. We work closely with business stakeholders, product owners, and development teams to identify opportunities, improve processes, and deliver innovative digital products that enhance operational efficiency and business outcomes. Our team leverages Agile methodologies, data-driven decision-making, and emerging technologies—including AI—to continuously improve product quality and user experiences. Your Impact: Support a Multifamily Digital Product team by serving as a junior Product Analyst and contributing to Agile product delivery activities. Facilitate commun

Artificial IntelligenceAIExcel
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📍 Mclean, Virginia, United States
✓ Quality checkedCompany trend -33.3%

From $40/hr

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. We are accepting applications for this position until 10/16/2026 Position Overview: At Freddie Mac, you will do meaningful work that helps build a stronger housing finance system and supports homeownership and rental housing opportunities across the nation. Launch your career by contributing to one of the most important risk management functions in the financial services industry. Our internships and graduate programs provide opportunities to tackle complex business challenges, collaborate with experienced professionals, and make an impact from day one. As an Enterprise Risk Business Intern, you will gain exposure to enterprise-wide risk management practices, emerging technology risks, AI governance, and strategic oversight activities while developing valuable analytical, communication, and leadership skills. Our Impact: Enterprise Risk Management (ERM) helps build and maintain a strong, effective, and efficient risk management framework across Freddie Mac. We provide independent oversight and assessment of financial and non-financial risks while promoting a strong risk culture throughout the organization. As risk management continues to evolve, our teams play an increasingly important role in overseeing areas such as artificial intelligence, model risk, fraud risk, data governance, and enterprise-wide risk frameworks. We work across business functions to ensure that risk management practices remain effective, scalable, and aligned with regulatory and busines

Artificial IntelligenceAIExcelPower Bi
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📍 New York, New York, United States· Full-time
✓ Quality checkedCompany trend -81%

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role Synthesia is seeking an Enterprise Account Executive to join us in the US. Reporting to one of our regional Head of Enterprise Sales, you will be tasked with generating, establishing and closing opportunities within your designated accounts in our Enterprise segment, which is between 1000 and 10,000 employees. Central to this role is the ability to effectively communicate value, inspire prospects, and successfully sell the value of the Synthesia solution. We have ambitious revenue goals this year, and you will play a huge role in how the Enterprise team contributes to this. We are ideally looking for folks based in NYC, Texas or Denver (where our regional heads are); however, we are open to applications from candidates in the East or Central time zones. We’re going through an exciting stage of our growth under the new leadership of our CRO. We aspire to create a world-class sales organisation where the most talented, relentless salespeople can thrive. If you’re someone excited by making an impact and hungry for opportunity, then we’d love to hear from you. What you’ll be doing… Running a full sales cycle within our Enterprise customers from cold outreach to close. With full ownership of your pipel

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📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.2%

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! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why this role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-thei

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📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.2%

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! Why this role? Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs. You may be a good fit if you have: 5+ years of engineering experience running production infrastructure at a large scale Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters Experience with Kubernetes dev and production coding and support Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving Experienc

AWSAzureGCPKubernetes
C
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.2%

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! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why this role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-thei

PythonReactGitAI
C
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.2%

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! Why this role? Are you energized by leading the design of high-performance, scalable and reliable machine learning systems? Do you want to set technical direction and help shape the next generation of AI platforms powering advanced NLP applications? We are looking for a Lead Member of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will provide technical leadership across multiple teams, driving the architecture and strategy for deploying optimized NLP models to production in low latency, high throughput, and high availability environments. You will serve as a key point of contact for customers, leading the design of customized deployments to meet their specific needs, and mentoring engineers to raise the technical bar across the team. You may be a good fit if you have: 8+ years of engineering experience running production infrastructure at a large scale, with a track record of technical leadership Demonstrated experience leading the architecture

AWSAzureGCPKubernetes
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📍 Massachusetts, New York, United States· Full-time
✓ High-confidence listingCompany trend -88.9%

From $192K/yr

Quick readStrong listing-quality and freshness signals

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Write in Go, Java Rust or C++, amongst other languages Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components Own meaningful parts of our service, have an impact, grow with the company Who You Are: 6+ years of experience You have a BS/MS/PhD in a scientific field or equivalent experience You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) You have been exposed to working on problems (high durability / low latency /…) You can get down to the low-level when needed You care about simple designs and performance You want to work in a fast, high-growth startup environment that respects its engineers and customers You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. Datadog values peo

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📍 San Francisco, California, United States· Internship
✓ Quality checkedCompany trend -88.6%

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time. What You'll Achieve: Write clean, secure, tested, and documented code. Design & enhance the Notion product with new capabilities with an AI first mindset Develop, fix and debug software for across our full stack: web services, databases, applications, tools while leveraging modern frameworks and tooling. Qualifications: Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. Must graduate before Summer 2028. This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time. Previous internship experience. Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or Python. You find large challenges exciting and enjoy discovering problems as much as solving them. You are able to problem-solve and adapt to changing priorities in a fast-paced, dy

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📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -88.6%

$160K – $185K/yr

Quick readStrong listing-quality and freshness signals

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role As a enterprise technical support engineer, you will work closely with our enterprise customers and engineers to resolve their most complex issues. You will also help build out systems and processes to manage tasks to completion. You will problem solve with our technical teams and work to resolve as much as you can while scaling our systems and support processes. This role will be based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve Work closely with our largest customers providing white-glove support to solve the most challenging support interactions Build and maintain strong relationships with enterprise customers, ensuring high levels of engagement and satisfaction Lead the troubleshooting and resolution of advanced technical issues across Notion’s platform and embedded partner applications, with a focus on unlocking AI usage for customers Act as a bridge between your customers and Notion engineering

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