Jobs in United States

Machine Learning Engineer Ii Core Engineering in United States

703 active opportunities · Updated October 2026

Explore current machine learning engineer ii core engineering jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

Hiring demand

41/100

watch · 51 related jobs

Hiring trend

-72.5%

Job postings compared with the previous 30 days

Remote options

25.5%

Share of matching jobs listed as remote

Typical salary

$158.4K – $158.4K/yr

Based on 6 salary observations

C
📍 United States· Remote
✓ High-confidence listingCompany trend +340.2%
Quick readStrong listing-quality and freshness signals

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Locations: CVS Health follows a hybrid work model providing office-based colleagues the ability to flex between working in the office and working from home based on the work you need to accomplish. Various locations available and will be confirmed during conversations with the recruiter. Position Summary Designs and defines the technical architecture and infrastructure required for digital solutions. Utilizing Natural Language Processing, Deep Machine Learning, and Algorithms & Data Structures Writes code, develops software components, and implements complex functionalities according to project requirements. Collaborates with other members of the development team and stakeholders to make high-level architectural decisions, proposes design patterns, and ensures scalability, performance, and maintainability of digital solutions. Leverages advanced programming skills to design and implement complex features, optimize performance, and ensure code efficiency. Integrates various software components or systems, ensuring seamless communication and interoperability between different parts of the digital solution. Writes and executes comprehensive test cases, conducts code reviews, performs debugging, and troubleshoots issues to ensure the reliability, stability, and high quality of digital solutions. Participates in agile or other development

AWSMachine Learning
MT
📍 Boise, ID - Main Site, United States
✓ High-confidence listingCompany trend +1266.7%
Quick readStrong listing-quality and freshness signals

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Platform Engineer An individual contributor who will serve as a hands-on technical member of the SMAI Platform Engineering team. In this role, you will help build, operate, and maintain the platforms that power Micron's analytics and AI workloads. You will contribute to platform reliability and scalability through day-to-day engineering, collaborative problem solving, and close partnership with solution architects, project teams, and multi-functional partners. Responsibilities: Collaborate with global platform teams, customers, partners, and vendors to deliver effective technical solutions. Know the latest platform roadmaps, emerging technologies, and new service offerings; evaluate and recommend adoption opportunities. Partner with solution architects to design, implement, and optimize solutions across IaaS, PaaS, SaaS, and Infrastructure as Code (Terraform). Document findings, operational procedures, guidelines, and reusable patterns while providing feedback to vendors and internal teams. Deliver high-quality platform support by managing customer requests, maintaining service standards, and implementing controlled platform adjustments. Monitor platform performance, observability, costs, and resource utilization to identify optimization opportunities and improve reliability. Collaborate with multi-functional teams to ensure seamless operations, scalable architectures, and automation, including AI-driven business solutions. Implement and m

KubernetesMachine LearningAITerraform
T
📍 Austin, Texas, United States· Full-time
✓ High-confidence listing

$100K – $500K/yr

Quick readStrong listing-quality and freshness signals

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are seeking a GCC Compiler Engineer to design, develop, and optimize compilers for next-generation RISC-V and AI compute architectures. You will work across hardware and software teams to improve performance, programmability, and integration of our custom toolchains into real applications. This role is fully hands-on and central to how developers interact with Tenstorrent hardware across both traditional compute and advanced machine learning workloads. This role is Hybrid, based out of Santa Clara, CA, Austin, TX, or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Experienced compiler engineer with deep knowledge of GCC and LLVM internals, comfortable optimizing for custom hardware targets. Strong C/C++ developer with a solid grasp of algorithms, data structures, and performance analysis. Collaborative and analytical, able to work across hardware and software domains to deliver efficient, high-performance toolchains. Passionate about enabling breakthrough compute architectures through compiler innovation and software-hardware co-design. What We Need Design, develop, and optimize GCC and/or LLVM compilers for Tenstorrent’s cust

AWSMachine LearningAIC++
T
📍 Boston, Massachusetts, United States· Full-time
✓ High-confidence listing

$100K – $500K/yr

Quick readStrong listing-quality and freshness signals

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Sales Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote based out of North America with preference near one of our main hubs Santa Clara, CA; Boston, MA; or Toronto,ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. Work directly with customers in pre-sales

AWSMachine LearningAIGo
P
📍 New York, New York, United States· Full-time
✓ Quality checkedCompany trend -70%

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. We believe Plaid has the power to be the next-gen Credit Bureau - supporting large scale adoption of cash flow into the credit underwriting process. The Credit Decisioning platform team is responsible for building best-in-class cashflow based insights products that enable lenders to make more holistic lending decisions and empower broader access to Credit products for prospective borrowers. We own the systems and tooling that form the platform to build and serve these insights at huge scale, partnering with our Data partners to release new products yearly. You will be defining the future architecture of Credit insights products and executing against an ambitious product roadmap. You will partner with our Product, Data Science, and Machine Learning team to iterate on and productionize new insights that enable our customers to make more holistic lending decisions. Responsibilities: Leading technical architecture and execution across credit insights products: everything from data fetching and online feature serving for API requests, to offline production pipelines and tooling for model training. Scaling and evolving the architecture through an expected ~100x increase in load from deterministic factors

AWSMachine LearningAI
C
📍 United States· Full-time
✓ Quality checkedCompany trend -100%

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 This is a once-in-a-lifetime opportunity to join a hyper-growth startup focused on saving people time and making the world more productive! ClickUp is looking for a Strategic Solutions Engineer to serve as a technical partner to our Sales and Success orgs for bringing in net new customers, expanding existing accounts, and accelerating our revenue growth. The ideal candidate is a strong strategic thinker, skilled presenter, and has enough technical aptitude to figure out solutions for any technical challenges clients experience. Teamwork is vital to how ClickUp operates and a significant portion of your responsibilities will include working closely with Managers to understand and coordinate team needs. You should be able to work independently with little supervision, and also enjoy a fast paced and collaborative work environment. It is important that you are able to manage a range of tasks and prioritize their responsibilities, and meet deadlines with urgency and optimism. The Role: Partner with sales and success to deliver technical presentations that explain our products and integrations for prospective and current clients. Design, develop, deploy and manage customer-specific proof of value (PoV) projects. Build custom reports and dynamic dashboards for prospective clients' management teams. Assist with the functional and technical elements of RFPs. Stay current on new feature releases and maintain updated demo spaces for sales. This role will support customers across the Pacific Northwest Qualifications: This is a hybrid role based in the Pacific Northwest U.S., with a strong preference for candidate

AWSMachine LearningAI
C
📍 United States· Full-time
✓ Quality checkedCompany trend -100%

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 This is a once-in-a-lifetime opportunity to join a hyper-growth startup focused on saving people time and making the world more productive! ClickUp is looking for a Strategic Solutions Engineer to serve as a technical partner to our Sales and Success orgs for bringing in net new customers, expanding existing accounts, and accelerating our revenue growth. The ideal candidate is a strong strategic thinker, skilled presenter, and has enough technical aptitude to figure out solutions for any technical challenges clients experience. Teamwork is vital to how ClickUp operates and a significant portion of your responsibilities will include working closely with Managers to understand and coordinate team needs. You should be able to work independently with little supervision, and also enjoy a fast paced and collaborative work environment. It is important that you are able to manage a range of tasks and prioritize their responsibilities, and meet deadlines with urgency and optimism. The Role: Partner with sales and success to deliver technical presentations that explain our products and integrations for prospective and current clients. Design, develop, deploy and manage customer-specific proof of value (PoV) projects. Build custom reports and dynamic dashboards for prospective clients' management teams. Assist with the functional and technical elements of RFPs. Stay current on new feature releases and maintain updated demo spaces for sales. This role will support customers across the Pacific Northwest Qualifications: This is a hybrid role based in the Central U.S., with a strong preference for candidates within r

AWSMachine LearningAIGo
C
📍 United States· Full-time
✓ Quality checkedCompany trend -100%

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer - Multi-Agent Frameworks to join our AI Platform team. In this role, you will play a pivotal part in building a cutting-edge platform that empowers our users to create and deploy sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors . This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software. Key Responsibilities: Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions. Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations. Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination . Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics. Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration. Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user experience for building and deploying intelligent systems. Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices within agent-based applications. Contribute

AWSMachine LearningAI
C
📍 United States· Full-time
✓ Quality checkedCompany trend -100%

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and experienced Senior AI Engineer - Multi-Agent Frameworks to join our AI Platform team. In this role, you will play a pivotal part in building a cutting-edge platform that empowers our users to create and deploy sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors . This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software. Key Responsibilities: Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions. Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations. Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination . Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics. Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration. Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user experience for building and deploying intelligent systems. Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices within agent-based applications. C

AWSMachine LearningAI
C
📍 United States· Full-time
✓ Quality checkedCompany trend -100%

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview You'll own and evolve the AI systems behind ClickUp's voice platform: real-time streaming transcription, intelligent reformatting, context-aware mention detection, and voice-to-action pipelines. This is a high-impact, hands-on role where you'll push the boundaries of what voice interfaces can do inside a productivity tool used by millions. Key Responsibilities Design, build, and optimize real-time speech-to-text pipelines (streaming ASR, VAD, audio processing) Improve transcription accuracy through context injection (user names, teams, custom vocabulary, language detection) Develop and maintain LLM-powered post-processing (grammar correction, filler removal, mention resolution, formatting) Build voice-to-action systems that parse natural language into structured workspace commands Evaluate, benchmark, and integrate ASR models (Whisper, AssemblyAI, Fireworks, etc.) for cost, latency, and accuracy Collaborate with product and platform teams to ship voice features across MAX Desktop, Mobile, Web, and Browser Extension Explore multimodal AI capabilities (screen + voice + text) for next-gen assistant experiences Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. If you are a Philippine Job Applicant, please also see our Phi

AWSMachine LearningAI
S
📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -72.4%

$155K – $400K/yr

Quick readStrong listing-quality and freshness signals

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role This isn’t a typical engineering role. You won’t be embedded in a single product team or siloed in one product area. Instead, you’ll sit within Platform Engineering, own the AI-assisted coding domain, and work across all of engineering at Sentry, focused specifically on how AI coding agents participate in our software development lifecycle. For AI coding agents to work well in our repo, the internal systems they depend on need to be accessible via API, not locked behind UIs that require human interaction. Right now, many of those systems aren’t agent-ready. You’ll audit and prioritize that gap, expose those systems programmatically, and build the connections that let tools like Claude Code operate on them end-to-end. From there, the scope expands to improving the quality of AI-generated pull requests and automating the engineering work that’s important but consistently deprioritized. You will look from context engineering standpoint to see what to send to our model; you will look from harness engineering standpoint to see the tools it can use, the permissions it has, the state it carries forward, the tests it has to pass, the logs you capture, the retries, checkpoints, guardrails, and evals. You’ll work closely with the dev infrastructure team as your home base, then collaborate across every product team coding in our repo once the tooling foundation is in place. It’s a broad role with real impact, and the work you do will directly change how Sentry engineers ship software. What You’ll Do Audit Sentry’s internal developer systems and make them API-ready for AI agents. You’ll prioritize and drive the work of ex

CI/CDMachine LearningAIGo
MT
📍 Boise, ID - Main Site, United States
✓ High-confidence listingCompany trend +1266.7%
Quick readStrong listing-quality and freshness signals

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron, we are transforming how the world uses information to enrich life through innovative memory and storage solutions. The DRAM Thin Films Process Engineering team develops advanced materials and deposition processes that enable future memory scaling, improved device performance, and next-generation semiconductor technology. Our team works at the forefront of process development to support DRAM technologies that power artificial intelligence, cloud computing, and data-intensive applications. As a DRAM Thin Films Process Engineering Intern, you will work alongside experienced engineers on a high-impact summer project focused on semiconductor process development and optimization. This role provides hands-on experience with experimental design, process characterization, data analysis, and multi-functional collaboration. You will contribute to real engineering challenges and present your results to technical and leadership audiences at the conclusion of the internship. Responsibilities Research and develop innovative solutions that support next-generation memory technology and thin film process advancement. Develop, complete, and analyze experiments to improve thin films process performance, manufacturability, and product quality. Apply statistical analysis, data science techniques, and AI-enabled tools to identify process trends, optimize performance, and accelerate engineering decision-making. Partner with process, equipment, and integration engineering teams to solve complex technic

PythonMachine LearningArtificial IntelligenceAI
I
📍 Arizona, Phoenix, United States
✓ High-confidence listingCompany trend +315.4%
Quick readStrong listing-quality and freshness signals

Job Details: Job Description: The Role and Impact As a Manufacturing Quality and Reliability Engineer, you will be instrumental in ensuring high-volume manufacturing ramps meet Intel's rigorous quality and reliability standards. On a day-to-day basis, you will evaluate materials, processes, and techniques used in production, conduct quality audits, and develop systems for early detection and containment of potential issues. Your work will directly enhance Intel's ability to deliver high-performing products while fostering a culture of continuous improvement across manufacturing operations. Business Group You will be joining Intel Foundry, a world-class manufacturing organization dedicated to driving innovation and excellence across Intel's operations. This team focuses on ensuring quality and reliability in product engineering, manufacturing, and supplier collaborations, contributing to Intel's broader mission of delivering cutting-edge technology solutions. By leveraging data-driven insights and advanced methodologies, the group plays a critical role in supporting Intel's leadership in semiconductor technology. Key Responsibilities - Drive manufacturing ramp qualifications to ensure processes and products meet quality and reliability standards. - Specify inspection and testing mechanisms to monitor product and production equipment compliance. - Conduct in-depth quality assessments and audits to identify improvement opportunities. - Lead initiatives to optimize cost, ramp, and production volume efforts while maintaining quality. - Collaborate with product engineering forums to recommend design or process improvements for enhanced reliability. - Develop proactive systems and capabilities for early detection and containment of discrepancies. - Manage ma

SQLMachine LearningRecruitment
I
📍 Oregon, Hillsboro, United States
✓ High-confidence listingCompany trend +315.4%
Quick readStrong listing-quality and freshness signals

Job Details: Job Description: Intel Corporation is the world's largest semiconductor company and a global leader in computing innovation. Our Quantum Computing Group represents Intel's bold venture into the next frontier of computing technology, leveraging our decades of semiconductor manufacturing expertise to develop silicon-based quantum processors. We're pioneering spin qubit technology in silicon quantum dots, combining cutting-edge quantum physics with Intel's unmatched manufacturing capabilities to create the world's first commercially viable quantum computers. Our collaborative approach spans the entire quantum compute stack while harnessing the power of Intel's 18A process and design infrastructure. We are seeking an exceptional Quantum Design Engineer to join our pioneering quantum computing team. In this position, you will be joining a team of incredibly talented engineers focused on the challenging task of scaling our quantum computing chips to millions of qubits. Here you will be involved in all aspects of the qubit chip process from initial conception through Process-Design-Kit definition, design execution and tapeout, along with ensuring silicon runs smoothly in fab and final system integration. You'll work closely not only with our qubit, control, system integration, and software/algorithms teams, but also with teams in Foundry lithography, process and design. You'll be working at the intersection of cutting-edge semiconductor technology and quantum physics, creating solutions that push the boundaries of what's possible in computing. Ready to help build the future of quantum computing? Apply now and be part of this extraordinary journey Key Responsibilities • Work alongside lithography, process integration, measurement, and PDK engineers to establish qubit processes and design rules • Architect qubit and readout element standard cell design and autom

PythonMachine LearningAIRecruitment
N
📍 Santa Clara, United States
✓ High-confidence listingCompany trend -8%
Quick readStrong listing-quality and freshness signals

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for an outstanding Compiler Engineer to help build the next generation of intelligent compiler technologies for NVIDIA's accelerated computing stack. Our team works at the intersection of compilers, agentic systems, numerical correctness, and verification to create systems that can reason about, generate, optimize, and validate code transformations across software and hardware boundaries. This is an excellent opportunity for new graduates who are excited about coding agents, AI-assisted software engineering, developer tools, and GPU computing. In this role, you will work with experienced engineers and researchers to build agentic systems and compiler-aware tooling that improve developer productivity, code quality, and system performance across NVIDIA's software and hardware stack. What you'll be doing: Build and improve coding-agent systems for tasks such as code generation, transformation, debugging, optimization, validation, and developer assistance. Develop agent workflows involving tool use, planning, memory, execution, and feedback loops for software engineering and compiler-related tasks. Help create training, evaluation, and verification environments to improve agent quality, correctness, r

PythonMachine LearningAI

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