Machining Engineer jobs at Palo Alto Networks

Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career As a Staff, Senior Staff AI Engineer/AI Scientist for Enterprise AI Solutions, you will be a critical technical leader responsible for the hands-on design, development, and implementation of AI-powered solutions that solve challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). You will work closely with Principal and Distinguished Architects to translate high-level strategies into concrete AI solution designs and robust, scalable, and ethical implementations. This role demands deep technical expertise, a strong ability to solve complex problems, and a commitment to mentoring other engineers, leveraging our Enterprise AI Platform to deliver measurable business impact Your Impact AI Solution Implementation: Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications. Platform Development: Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security. Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systems. System Optimization: Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applications. Technology Adoption: Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines. Lead POCs for emerging AI innovations. Architectural Best Practices: Champion design standards and best practices for AI systems, guiding junior engineers. Technical Leadership: Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence. Cross-Functional Collaboration: Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions. Responsible AI & Quality: Ensure AI systems comply with responsible AI principles and security policies. Implement automated testing and monitoring. Innovation & Research: Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs. Qualifications Your Experience 8+ years in software engineering, with 5+ years in Data science/AI/ML experience. Experience deploying enterprise AI/ML systems. Understanding of the AI lifecycle. Experience with distributed systems and streaming data. Hands-on experience with Generative AI and LLMs. Proficiency in AI/ML frameworks and cloud platforms. Strong programming skills (Python and C++). Excellent communication skills. Masters/Bachelors degree in Computer Science or related field. Preferred Qualifications PhD degree in Computer Science , Applied Mathematics , Machine Learning or related computation field. Experience with open-source AI projects. Prior technical lead role for AI/ML projects. Familiarity with cybersecurity principles for AI. What we are looking for? Deep Technical Expertise: Strong foundation in machine learning (theory and application), deep learning, statistical modeling, and relevant programming languages (Python, R) and libraries (TensorFlow, PyTorch, scikit-learn). Proven Research & Innovation: Track record of conceiving and executing novel research, publishing in top-tier conferences/journals, or delivering innovative AI solutions with significant business impact. System Design & Scalability: Ability to design, build, and deploy scalable and robust AI systems. Understanding of MLOps and data engineering principles. Problem Solving & Critical Thinking: Excellent analytical skills to tackle complex, ambiguous problems and break them down into manageable parts. Leadership & Mentorship: Experience in leading projects, guiding junior team members, and influencing technical direction. Communication & Collaboration: Ability to clearly communicate complex technical concepts to diverse audiences (technical and non-technical) and collaborate effectively with cross-functional teams. Business Acumen & Impact Focus: Understanding of how AI can drive business value and ability to translate research/technical work into tangible outcomes. Continuous Learning: Passion for staying up-to-date with the latest advancements in AI. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You'll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We're connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted levels with the final level determined after all the interview rounds, the starting base salary (for non-sales roles) is expected to be between $164,000- $235,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We're problem solvers that take risks and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

A globally respected engineering and design firm is seeking a Senior Mechanical Engineer to lead complex, high-impact projects across diverse markets. You will play a key role in delivering sustainable, innovative mechanical systems and collaborating with multidisciplinary teams. Are you looking to be part of a forward-thinking team that's redefining engineering excellence? If so, please reach out to learn more. The Senior Mechanical Engineer will be responsible for... Leading mechanical design for building systems on large-scale projects Managing project schedules, budgets, and quality standards Coordinate closely with other teams The Senior Mechanical Engineer should have the following qualifications: Bachelor's degree in Mechanical Engineering PE license required 6+ years of experience in mechanical building systems design Benefits/Perks Collaborative, creative team environment Competitive compensation and performance bonuses Flexible remote environment

Employment Solutions is partnering with an established company to hire a Manufacturing Engineer to work onsite in Endicott, NY. This is a direct hire position with full benefits! Our client manufactures highly engineered products and mission-critical components for the Aerospace, Defense, Transportation and other industries. Salary range: $65K-90K The Manufacturing Engineer will be responsible for designing, implementing, and optimizing manufacturing processes. This includes collaborating with production teams, ensuring product quality, reducing waste, improving efficiency, and applying engineering principles to manufacturing solutions. This role involves a continuous effort to enhance processes, support product development, and maintain safety and compliance standards. Responsibilities Create and maintain work instructions and manufacturing specifications Identify and recommend methods for improving worker efficiency and reducing waste of materials and utilities Collaborate cross-functionally to facilitate production process and evaluate potential changes Qualifications Bachelor's degree in either Industrial or Mechanical Engineering At least 1 - 2 years' of engineering experience Relevant experience in a machining environment is highlydesirable. Expertise in CAD and CAM software(e.g., SolidWorks, AutoCAD), process simulation tools,and ERP systems. Ability to create and interpret technical drawings and 3D models. Understanding of G-Code and programming languages is a plus. Knowledge of measurement tools and techniques for ensuring part accuracy and quality. Familiarity with quality control standards and procedures. Strong understanding of manufacturing processes (e.g., machining, assembly,welding, molding, etc.). Knowledge of Lean manufacturing, Six Sigma, or other processimprovement methodologies is a plus. Interested? Let's chat! ***************************************

We're a fast-moving Series A startup on a mission and we're looking for a Compiler Engineer who can turn cutting-edge ideas into blazing-fast reality. If you live and breathe compilers, know your way around low-level codegen, and love squeezing every last drop of performance from hardware, this is your moment. What You'll Bring 4+ years crafting compilers, with deep mastery of algorithms and data structures Hands-on expertise in low-level code generation, object file manipulation, and target-specific optimizations Serious C/C++ chops Clear communicator, strong doc writer, detail-driven, and always team-first Bonus Points MS/PhD in CS/CE/EE Familiarity with instruction selection, register allocation, dominance, def-use, calling conventions, linking & relocations LLVM experience Loop optimization wizardry (vectorization, unrolling, fusion, parallelization) Why Us? You won't be a cog. You'll be a cornerstone. Own major pieces of the toolchain, shape architecture decisions, and ship tech that pushes the boundaries of what's possible. If you want to build boldly, optimize ruthlessly, and leave your fingerprints on the future, we want to meet you.

Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career You will join a dynamic and fast-paced team of seasoned fellow engineers designing and developing multi-tiered applications in a rapidly growing company. As a Principal AI Engineer, you will leverage your extensive experience to act as the trailblazer, helping us build and innovate enterprise-grade full-stack systems with a specific focus on Generative AI transformation. We are looking for a highly hands-on, extremely technical leader to architect the next generation of our internal and external business applications. You will move beyond traditional software engineering to design intelligent, agentic workflows that revolutionize our Go-To-Market (GTM) processes. Your Impact Lead the architecture and implementation of a Proxy-First "AI Gateway" intermediary layer to ensure seamless LLM vendor independence. Design and build a unified API endpoint to abstract LLM complexities and provide centralized control for access and security. Implement comprehensive GenAI observability pipelines to track trace-level data, prompt inputs/outputs, and model latency. Create architecture to optimize performance and expense by intelligently routing simpler queries to cost-effective models. Integrate observability data into the development cycle to identify real-time bottlenecks, high-latency chains, and model drift. Institute and promote innovative thinking by incorporating Agentic AI, designing sophisticated Multi-Agent Systems and Agent-to-Agent (A2A) workflows. Apply GenAI to complex Go-To-Market (GTM) business logic, automating critical workflows like customer support and entitlement platforms. Pioneer "LLM as a Judge" testing methodologies to automate quality assurance of system outputs (correctness, tone, and helpfulness). Build robust guardrails to filter inputs and outputs, preventing PII exposure, offensive content, and prompt injection attacks. Develop detection mechanisms, including keyword filtering, behavioral analysis, and adversarial training, to protect model instructions from manipulation. Qualifications Your Experience 10+ years of overall IT system architecture, design, development, and deployment experience. Proven track record leading technical teams in Agile/Scrum environments for large-scale implementations with aggressive timelines. Experience partnering with business stakeholders to design workflows for Go-To-Market (GTM), sales, or support operations. Bachelor's degree or equivalent in Computer Science or a related field. Strong verbal and written communication skills with the ability to explain complex AI concepts to senior leadership. Extensive knowledge in building modern applications using Large Language Models (LLMs) such as Llama 3, GPT-4, and Anthropic. Deep experience building and maintaining highly observable GenAI systems, including proficiency with tracing and evaluation tools (e.g., LangSmith, Arize, HoneyHive, or custom OpenTelemetry). Deep experience with Multi-Agent systems, Agent-to-Agent (A2A) communication, and orchestration frameworks. Experience establishing "Golden Datasets" for ground truth testing and performing comparative analysis across different models. Expert-level proficiency in Python; familiarity with Java or Node.js for enterprise integration is a plus. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You'll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $167000 - $270500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We're problem solvers that take risks and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product. We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas. Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products. In this role, you'll get to work with Pinterest's rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example, engineers working on the Canvas project also participate in the development of our core multimodal text & image embeddings, as these are in turn used to condition the model in unique ways. What you'll do: Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We're looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills. Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company. Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc. Publish and publicize your work via conferences, paper submissions, blog posts, etc. Mentor more junior researchers or research interns within the Pinterest Labs organization. What we're looking for: Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models. 5+ years of industry computer vision experience. M.S. or PhD in Machine Learning, Computer Science, or related areas. Publications at top ML conferences. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$161,263-$332,012 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. What you'll do: Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas Use data driven methods and leverage the unique properties of our data to improve candidates retrieval Work in a high-impact environment with quick experimentation and product launches Keeping up with industry trends in recommendation systems What we're looking for: 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) Degree in computer science, machine learning, statistics, or related field Nice to have: M.S. or PhD in Machine Learning or related areas Publications at top ML conferences Expertise in scalable realtime systems that process stream data Passion for applied ML and the Pinterest product Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-SA1 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$138,905-$285,982 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. The User Understanding team develops state-of-the-art models and systems to deeply understand the evolving interests, intents and tastes of our 500M+ Pinterest users, which power the personalization of Pinterest products across Discovery (Homefeed, Search, Related Pins), Ads, and Growth. As the Staff Machine Learning Engineer of the User Understanding team, you will set technical vision, lead the team in building next-generation user understanding models, and partner cross-functionally to deliver more relevant and personalized experiences to our users. What you'll do: Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth. Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features. Drive experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics. Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals. Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field. What we're looking for: Hands-on experience developing and deploying large-scale machine learning systems in search, recommendation or advertising. Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems. 6+ years of industry experience in applied machine learning or closely related roles. Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions. Bachelor's/Master's degree in a relevant field such as computer science or equivalent experience. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. #LI-DM57 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$189,308-$389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With more than 600 million users around the world and 400 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. We are seeking talented Staff Machine Learning Engineers for multiple openings across our Core Engineering organization, including teams such as Search, Notifications, and Content & User Engineering. In these roles, you will drive the development of state-of-the-art applied machine learning systems that power core Pinterest experiences. What you'll do: Design features and build large-scale machine learning models to improve user ads action prediction with low latency Develop new techniques for inferring user interests from online and offline activity Mine text, visual, user signals to better understand user intention Work with product and sales teams to design and implement new ad products What we're looking for: Degree in computer science, machine learning, statistics, or related field 6+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing 2+ years of experience leading projects/teams Strong mathematical skills with knowledge of statistical methods Cross-functional collaborator and strong communicator In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$189,308-$389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We are looking for a Principal Machine Learning Engineer, a senior technical visionary, to be the Principal Technical Lead for the Content & Trust Engineering teams setting up overall technical strategy, unified technical architecture and defining a roadmap for industry leading methodology. Strong hands on machine learning background including deep learning architectures, generative AI, low-resource ML (zero shot, few shot), responsible AI and large scale deployment and measurement is required. As the Principal Machine Learning Engineer you'll be responsible for the technical direction, strategy and health of our Content and Trust Engineering org. You'll ensure that our technology can deliver on the business/product requirements necessary to keep Pinterest safe and positive. This means working with other leads to set and execute a long-term strategy for Content and Trust, aligning the strategy with other clients where it makes sense and communicating to leadership our current status and path to having world-class Content and Trust capabilities. You'll also foster a healthy community where all ML engineers can learn best practices, collaborate effectively and understand our technical direction. What you'll do Develop strong partnerships with product teams to understand and proactively address future technology needs and current developer pain points Champion and drive large-scale, cross-functional initiatives that improve the trust and safety of our platform Act as the ultimate “customer representative” for engineers on Content and Trust including representing needs to leadership and prioritizing projects on the platform teams that ensure high quality capabilities and a world-class Pinner experience Scale your leadership through both direct mentorship and via best practices, processes, training and tools. Ensure solid technical plans are in place for projects within Trust via direct review or delegation Be the technical point of contact for decisions that impact the whole Pinterest platform and for cross-functional partners like policy, operations and legal What we're looking for: Deep expertise building large scale ML systems at scale with modern frameworks Knowledge of (and a passion for) building responsible and quality first discovery surfaces Track record of delivering large, cross-functional projects across multiple organizations Strong written and verbal communication skills and proven ability to collaborate cross-functionally In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1 time per quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE # LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$267,393-$550,515 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product. We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas. Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products. In this role, you'll get to work with Pinterest's rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example, engineers working on the Canvas project also participate in the development of our core multimodal text & image embeddings, as these are in turn used to condition the model in unique ways. What you'll do: Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We're looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills. Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company. Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc. Publish and publicize your work via conferences, paper submissions, blog posts, etc. Mentor more junior researchers or research interns within the Pinterest Labs organization. What we're looking for: Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models. 5+ years of industry computer vision experience. M.S. or PhD in Machine Learning, Computer Science, or related areas. Publications at top ML conferences. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$161,263-$332,012 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Niche is the leader in school search. Our mission is to make researching and enrolling in schools easy, transparent, and free. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools, we help millions of people find the right school for them. We also help thousands of schools recruit more best-fit students, by highlighting what makes them great and making it easier to visit and apply. Niche is all about finding where you belong, and that mission inspires how we operate every day. We want Niche to be a place where people truly enjoy working and can thrive professionally. About The Role We are looking for our first Staff Machine Learning Engineer to establish and lead our machine learning initiatives. This is a critical, foundational role where you will have the unique opportunity to shape the future of data science and ML at Niche. You will be responsible for identifying high-impact opportunities, designing, building, and deploying machine learning models that directly drive business growth and enhance user experience across our platform. We are looking for a highly skilled, hands-on practitioner who is passionate about translating business challenges into data-driven solutions. You aren't just theoretical; you build, you code, you ship, and you measure. You have a proven history of deploying ML models into production environments that have delivered tangible results. You possess the experience and desire to mentor future ML hires and establish best practices as our capabilities grow. What You Will Do Identify & Prioritize: Collaborate closely with product, engineering, data analytics, and business stakeholders to identify and prioritize the most impactful ML opportunities that align with Niche's strategic goals. Our first area of focus is our Recommendations, which includes matching students with the right schools Design & Build: Lead the end-to-end development of machine learning models - from data collection and feature engineering to algorithm selection, training, tuning, and validation. This is a hands-on coding role Deploy & Integrate: Develop production-grade code and systems to deploy, serve, and monitor ML models at scale, ensuring reliability and performance. Integrate models effectively into Niche's products and internal systems Measure & Iterate: Define key performance metrics, establish robust monitoring frameworks, analyze model performance in production, and drive continuous improvement through iteration and experimentation Champion & Evangelize: Clearly communicate complex ML concepts, model behaviors, and results to both technical and non-technical audiences. Champion the use of machine learning & data science across the organization Lead & Mentor: Establish ML development best practices, coding standards, and documentation. As the function grows you will guide and mentor other ML engineers Innovate: Stay abreast of the latest advancements in machine learning, data science, and MLOps, evaluating and potentially adopting new technologies and techniques relevant to Niche During the First Month: Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings Deep-dive into Niche's platform, data architecture, and recommendation systems Align with product and engineering teams on business goals and ML impact areas Begin shaping a roadmap for high-impact ML opportunities Within 3 Months: Deploy your first machine learning model into production with robust monitoring and feedback loops Collaborate with product and engineering to define success metrics and integration strategies Establish early ML development workflows, documentation, and performance monitoring Contribute production-ready code for feature engineering and model experimentation Within 6 Months: Drive measurable improvements through experimentation and model iteration Introduce scalable MLOps practices to support deployment, retraining, and governance Serve as a mentor and set engineering best practices for a growing ML function Within 12 Months: Lead ML efforts across multiple product areas, driving business impact at scale Influence company-wide strategy through technical leadership and ML evangelism Develop internal tooling, reusable frameworks, and scalable ML systems Help grow the team through hiring, mentorship, and a culture of innovation What We Are Looking For Experience: 8+ years of professional experience in software development or data science, with at least 5+ years specifically focused on building and deploying machine learning models in a production environment Proven Impact: Demonstrable track record of successfully shipping multiple machine learning models that resulted in measurable business growth (e.g., increased user engagement, conversion rates, operational efficiency, revenue). You can clearly articulate the business problem, the ML solution, and the quantitative impact achieved Technical Depth (Hands-On): Expertise in Python and common ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras, XGBoost) Deep understanding of core ML concepts (e.g., classification, regression, clustering, recommendation systems, NLP, time series analysis, experimentation, model evaluation) Strong SQL skills and experience working with large datasets and data processing tools (e.g., Pandas, Spark) Experience with ML deployment patterns and MLOps principles (e.g., model serving, monitoring, CI/CD for ML, feature stores) Familiarity with cloud platforms (AWS, GCP, Azure) is essential Business Acumen: Strong ability to understand business needs, translate them into well-defined ML problems, and connect technical work back to strategic objectives. You prioritize work based on potential business impact Leadership Experience: Experience or a strong aptitude for leading technical projects, defining technical direction, and mentoring others. Excellent communication and collaboration skills Education: MS or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field, OR equivalent practical experience demonstrating deep expertise in machine learning Bonus Points Experience building ML capabilities from the ground up Experience with recommendation systems, search ranking algorithms, or NLP applied to user-generated content Experience in the EdTech or consumer-facing platform space Familiarity with golang, express, Postgres, Snowflake, DBT, and Tableau Contributions to open-source ML projects or publications in relevant conferences/journals Compensation Our national target base salary range is $177,800-$222,000, plus participation in our Annual Bonus and Stock Option Program. Base compensation will be commensurate with experience and skills. At Niche, our Total Rewards Philosophy is centered around creating a workplace environment that attracts, motivates, and retains top talent by providing a comprehensive and competitive rewards package. This philosophy is built on the principles of performance-based compensation, best-in-class benefits and work-life balance, and employee well-being. Interview Process Candidate experience is a top priority for our talent and hiring teams. We believe in providing a transparent, authentic and comprehensive interview process where you have the opportunity to learn about us while we get to know you and your experience. The interview process is outlined here: Phone Screen with Talent Acquisition Partner - 30 Minutes Video Interview with Hiring Manager - 45 Minutes Case Study + Presentation and System Design Team Interview - 45 Minutes Leadership Interview - 30 Minutes Why Niche? We are a fully flexible workforce empowering our employees to choose to work remotely, in our Pittsburgh office or whatever combination suits you Full time, salaried position with competitive compensation in a fast-growing company Best-in-class 100% paid employee health plan, including vision and dental and supplemental coverage Flexible Paid Time Off Policy Stipend that allows you to build your work from home office in a style and function that suits your personal preferences Parental leave for all employees (12 weeks fully paid) in addition to short term disability for birthing parents Meaningful 401(k) with employer match Your ideas and work will make an immediate impact on our company and millions of users You will join a team that cares about you, our mission, our work - and celebrates our wins together! Niche will only employ those who are legally authorized to work in the United States without sponsorship now or in the future for this opening. We are currently hiring in states where we currently have employees: AZ, CO, CT, DE, FL, GA, IL, IN, KY, LA, ME, MD, MA, MI, MO, NE, NV, NH, NJ, NY, NC, OH, OK, OR, PA, SC, TN, TX, VA, WA, DC, WV. Candidates only. No recruiters or agencies, please. Sorry, we do not offer relocation assistance. Niche is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Within the Ads Delivery team, we try to connect the dots between the aspirations of pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the Pinterest marketplace. You will design and implement systems that improve the ads delivery funnel, experiments that shape the utility function, auction mechanism design, ad allocation and for deriving new insights through analysis of the marketplace dynamics. In short, this is a unique position, where you'll get the freedom to work to bring together pinners and partners in this unique marketplace. What you'll do: Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest. Define and implement experiments to understand long term Marketplace effects. Develop strategies to balance long and short term business objectives. Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations. What we're looking for: Degree in Computer Science, Machine Learning, Statistics or related field. 10+ years of professional experience as a hands-on engineer and technical leader leading multiple projects. Strong software engineering and mathematical skills with knowledge of statistical methods. Hands-on experience with large-scale online e-commerce systems is a plus. Background in computational advertising is preferred. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/month, and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-HYBRID #LI-SM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$314,580-$550,515 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

As a Machine Learning Engineer at Plus One Robotics, you will develop and maintain the code and infrastructure responsible for collecting data from, training and deploying models to, and evaluating the behavior of our production warehouse pick and place robotics systems. Our installations perform over 1.5 million picks a day, ensuring a continuous stream of edge cases and distributional shift that are immediately handled by our human-in-the-loop system and must be incorporated into new autonomous models. We borrow heavily from open source and academic research communities and you will be responsible for adapting these cutting-edge techniques to our demanding industrial setting. Together with a team of architects, data scientists, theoreticians, and robot programmers, you will implement scalable, robust systems that serve our clients. Essential functions: Read, understand, and utilize 3rd party documentation of code (repos) and theoretical advances (papers). Build systems for functionality, scalability, and maintenance. Adapt machine learning algorithms and libraries (Deep Neural Nets, Reinforcement Learning, Imitation Learning) for our applications. Required Education, Experience, and Qualifications: 3 years experience or Masters + 1 year Skilled in Python, with familiarity with PyTorch, HuggingFace, LeRobot or similar libraries. Familiarity with cloud computing infrastructure such as GCP or AWS Excellent analytical and communication skills Preferred Education and Experience: 5+ years experience Previous work with industrial robots Position Type/Expected Hours of Work Full-Time 40/hours per week M-F, 9:00am-6:00pm. Travel Must be able to travel both domestically within the US and internationally (including the EU, Canada, and Australia) without any travel restrictions. May travel up to 20% of the time during deployments. Work Authorization Must be able to provide documentation that shows authorization to legally work in the U.S. Pay and Benefits: The salary for this role is dependent on experience. Depending on level of experience, this role starts at $110,000 per year and is a bonus eligible position. Plus One Robotics offers a wide range of employee benefits for our full-time positions including healthcare benefits, a flexible paid time off plan. professional development opportunities, and a paid maternity and paternity leave program. This role will be located in either our San Antonio, TX Headquarters or our Boulder, CO location. Applications will be accepted through the end of November 2025.

Job DescriptionSalary: As a Machine Learning Engineer at Plus One Robotics, you will develop and maintain the code and infrastructure responsible for collecting data from, training and deploying models to, and evaluating the behavior of our production warehouse pick and place robotics systems. Our installations perform over 1.5 million picks a day, ensuring a continuous stream of edge cases and distributional shift that are immediately handled by our human-in-the-loop system and must be incorporated into new autonomous models. We borrow heavily from open source and academic research communities and you will be responsible for adapting these cutting-edge techniques to our demanding industrial setting. Together with a team of architects, data scientists, theoreticians, and robot programmers, you will implement scalable, robust systems that serve our clients. Essential functions: Read, understand, and utilize 3rd party documentation of code (repos) and theoretical advances (papers). Build systems for functionality, scalability, and maintenance. Adapt machine learning algorithms and libraries (Deep Neural Nets, Reinforcement Learning, Imitation Learning) for our applications. Required Education, Experience, and Qualifications: 3 years experience or Masters + 1 year Skilled in Python, with familiarity with PyTorch, HuggingFace, LeRobot or similar libraries. Familiarity with cloud computing infrastructure such as GCP or AWS Excellent analytical and communication skills Preferred Education and Experience: 5+ years experience Previous work with industrial robots Position Type/Expected Hours of Work Full-Time 40/hours per week M-F, 9:00am-6:00pm. Travel Must be able to travel both domestically within the US and internationally (including the EU, Canada, and Australia) without any travel restrictions. May travel up to 20% of the time during deployments. Work Authorization Must be able to provide documentation that shows authorization to legally work in the U.S. Pay and Benefits: The salary for this role is dependent on experience. Depending on level of experience, this role starts at $110,000 per year and is a bonus eligible position. Plus One Robotics offers a wide range of employee benefits for our full-time positions including healthcare benefits, a flexible paid time off plan. professional development opportunities, and a paid maternity and paternity leave program. This role will be located in either our San Antonio, TX Headquarters or our Boulder, CO location. Applications will be accepted through the end of November 2025.