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Senior Machine Learning Engineer 2c Core Engineering Jobs

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MI
Mach Industries
📍 Huntington Beach• $150K – $195K/yr
1mo ago

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Senior Automation Engineer, Vision to develop and standardize machine vision systems across manufacturing. You will develop proof-of-concept vision systems using industrial cameras, optics, lighting, profilometers, vision controllers, and edge compute, then translate successful concepts into standardized hardware and software architectures that can be deployed across production equipment. This is a highly hands-on engineering role. You will build vision systems in the lab and on manufacturing equipment, characterize imaging performance, develop acquisition and processing methods, define compute requirements, and establish the technical standards used by internal teams and external systems integrators. Key Responsibilities Develop Mach's standardized machine vision platform for automated manufacturing equipment. Design and build proof-of-concept vision systems using industrial cameras, lenses, lighting, filters, profilometers, depth cameras, and other optical sensors. Select and characterize cameras, optics, lighting, sensors, controllers, and acquisition hardware for manufacturing applications. Define edge compute requirements based on acquisition rates, processing workloads, latency, and machine cycle-time requireme

machine learningExcel
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Zscaler
📍 United Kingdom• Remote
2mo ago

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. We are looking for a Senior Sales Engineer to join our team. This is a hybrid based in the UK role, reporting to the Senior Sales Engineering Manager in the Solutions Consulting department. You will be a key technical driver in our mission, presenting the Zscaler cloud security platform to prospective customers and translating their goals into enticing, relevant recommendations. You’ll act as a trusted advisor, guiding clients through their transformational journey while delivering technical victories. What you’ll do (Role Expectations) Present the Zscaler cloud security platform to prospective customers Set the vision and translate goals into enticing and relevant recommendations Become the trusted advisor to our clients while aiding their transformational journey Gather customer technical requirements and promote the value proposition in POV, presentations, and demos Who You Are (Success Profile) You thrive in ambiguity.

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Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Sales Engineer - Public Sector to join our team. This is a hybrid role based in Gurgaon, reporting to the Senior Manager, Sales Engineering in the SE India department. You will join a global group of professionals passionate about driving a secure, cloud-enabled digital future as a leader in cloud security. You will demonstrate the power and agility of cloud transformation by aligning with regional leadership and engineering to deliver strategic solutions that solve complex customer challenges. What you’ll do (Role Expectations) Provide technical thought leadership and advice to enterprise customers on how to transform their digital experience Take total ownership of the technical sale and associated processes Identify and qualify technical opportunities while developing and maintaining trusted advisor relationships with key customer stakeholders Deliver high-impact sales pitches, technical

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C
Clickup
📍 United States• Full-time• Remote• $200K – $250K/yr
4mo ago

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

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C
Clickup
📍 United States• Full-time• Remote• $200K – $250K/yr
4mo ago

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

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A
Asana
📍 New York• Full-time• $202K – $223K/yr
4mo ago

The AI Retrieval team powers the intelligence behind Asana's AI features by finding relevant work graph content and delivering it to LLM context windows. Our work enables AI features that truly understand your work—both within and outside of Asana—and use that understanding to take action. We also own Asana's traditional search experience. As a Senior Software Engineer on the AI Retrieval team, you'll build the systems that make Asana's AI smart and responsive. You'll tackle challenging problems in search and retrieval, working to improve the speed, cost-efficiency, and quality of our systems while expanding their capabilities to new data sources. This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. What you'll achieve Reduce the latency and cost of our retrieval system, making Asana's AI features faster and more efficient Improve the quality and relevance of search results to help users find exactly what they need Expand the retrieval system's capabilities to query new Asana objects and third-party data sources Build and optimize search infrastructure using OpenSearch/ElasticSearch Contribute to ML-powered features like embeddings-based retrieval and semantic search Collaborate with cross-functional partners in New York City while building strong relationships with your Warsaw-based peers About you 6+ years of experience writing code in a production environment Curiosity about how AI and technology can solve problems and a desire to use it regularly in your work Hands-on experience in search engineering, including with OpenSearch or ElasticSearch Experience with embeddings and machine learning approaches to search and retrieval Experience in an Applied AI role is a plus Dem

machine learningaigo
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A
Asana
📍 Warsaw• Full-time• $383K – $487K/yr
4mo ago

The AI Retrieval team powers the intelligence behind Asana's AI features by finding relevant work graph content and delivering it to LLM context windows. Our work enables AI features that truly understand your work—both within and outside of Asana—and use that understanding to take action. We also own Asana's traditional search experience. As a Senior Software Engineer on the AI Retrieval team, you'll build the systems that make Asana's AI smart and responsive. You'll tackle challenging problems in search and retrieval, working to improve the speed, cost-efficiency, and quality of our systems while expanding their capabilities to new data sources. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve Reduce the latency and cost of our retrieval system, making Asana's AI features faster and more efficient Improve the quality and relevance of search results to help users find exactly what they need Expand the retrieval system's capabilities to query new Asana objects and third-party data sources Build and optimize search infrastructure using OpenSearch/ElasticSearch Contribute to ML-powered features like embeddings-based retrieval and semantic search Collaborate with cross-functional partners in New York City while building strong relationships with your Warsaw-based peers About you 6+ years of experience writing code in a production environment Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Hands-on experience in search engineering, including with OpenSearch or ElasticSearch

machine learningai
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About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Role We’re building a new Feature Engineering Platform that will be the front door to ML development at global scale. As a Software Engineer on this team, you’ll help build a seamless experience for ML practitioners across the company — from experimentation and exploration to deployment and monitoring. Our mission is to make machine learning accessible and intuitive without compromising on power or performance. You’ll work on a layered platform that supports both high-level declarative workflows and lower-level imperative APIs, all integrated into the environments our users already work in (like notebooks and internal sandboxes). What You’ll Do Build and evolve APIs, SDKs, and platform integrations that power feature engineering workflows. Help shape user-facing tools to make the platform approachable for all skill levels. Collaborate across the ML lifecycle — from data ingestion to feature serving — and integrate tightly with our central Data Control Plane. Contribute to platform reliability, testing, observability, and operational excellence. Qualifications Solid engineering background, ideally in platform, data, or ML-adjacent teams. Comfortable working with backend systems, APIs, and ideally some exposure to distributed compute (e.g. Spark, Fli

machine learningExcelrecruitment
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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. The OCT CPEE Diffusion Engineer is responsible for driving process and equipment engineering excellence within the Diffusion area to achieve world-class performance in safety, quality, cost, output, and technology enablement. The engineer will work closely with Manufacturing, Process Integration, Yield Enhancement, MAE, Central Teams, and Equipment Suppliers to improve equipment capability, manufacturing efficiency, productivity, and cost effectiveness. This role requires strong technical expertise, analytical problem-solving skills, and the ability to influence cross-functional teams to deliver sustainable business results Key Responsibilities Technical Excellence Drive Diffusion process and equipment performance improvements to support manufacturing objectives. Identify and implement opportunities to improve Manufacturing Availability (MA), Utilization, Throughput, WPD, and RPT. Lead technical investigations for equipment, process, and yield excursions using structured problem-solving methodologies. Develop innovative solutions to improve equipment capability, reliability, and productivity. Productivity & Capacity Improvement Support Max-Out, Productivity, Everest, WPD, and Cost Reduction initiatives. Analyze manufacturing constraints and develop solutions to improve fab output. Identify and execute productivity projects that improve cycle time, throughput, and equipment effectiveness. Support capacity

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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. In the Technology - Advanced Modeling and AI Solutions (AMAIS) Group in Hyderabad, you will work in a multi-functional team of engineers highly skilled in the modeling of process, equipment, structures, and materials. This team’s primary responsibility is to support and enable solutions to Micron’s most significant challenges in Memory development and manufacturing. Your role will be to work on a project that directly supports one of our group’s critical programs. This project will involve materials or structure or process modeling. You are expected to work in a dynamic and fast-paced team environment developing models and reporting results to the AMAIS team and collaborating with them on next steps. This position seeks individuals that can code, implement, and utilize numerical models. You will interact with process engineers and development teams to identify questions and issues hindering the node development milestones. Additionally, you will create software programs, algorithms, and computational modeling tools to extract concrete insights from modeling and data. You will interpret and convey these insights and findings from models and experiments to engineering teams and leaders. You will be responsible for predictive structure modeling across multiple DRAM and NAND nodes. The modeling engineer will collaborate extensively with product design and process teams for structure model development, deployment, and providing solutions to be implemented on Silicon. Qualifica

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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. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. The OCT CPEE Diffusion Engineer is responsible for driving process and equipment engineering excellence within the Diffusion area to achieve world-class performance in safety, quality, cost, output, and technology enablement. The engineer will work closely with Manufacturing, Process Integration, Yield Enhancement, MAE, Central Teams, and Equipment Suppliers to improve equipment capability, manufacturing efficiency, productivity, and cost effectiveness. This role requires strong technical expertise, analytical problem-solving skills, and the ability to influence cross-functional teams to deliver sustainable business results Key Responsibilities Technical Excellence Drive Diffusion process and equipment performance improvements to support manufacturing objectives. Identify and implement opportunities to improve Manufacturing Availability (MA), Utilization, Throughput, WPD, and RPT. Lead technical investigations for equipment, process,

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M
26 days ago

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. Summary As an Operations Central Team (OCT) Contamination Control Engineer, you will lead global contamination control initiatives that enable world-class manufacturing performance and support Micron's commitment to quality and reliability. You will develop and implement contamination control strategies, standardize procedures across sites, and drive improvements that reduce risk, improve yield, and support capacity expansion. This role offers the opportunity to influence manufacturing performance across Micron's global network while demonstrating data analytics, automation, and Artificial Intelligence (AI) tools to accelerate problem-solving and improve operational effectiveness. Responsibilities Lead global contamination control strategies and programs to improve manufacturing performance, reduce contamination risks, and achieve world-class quality outcomes. Partner with Manufacturing, QRA, Process Engineering, Equipment Engineering, and other partners to identify, investigate, and resolve contamination-related issues affecting yield, reliability, and product quality. Establish, standardize, and communicate contamination control metrics, indicators, standards, and governance frameworks across global manufacturing sites. Drive contamination control strategies that enable capacity expansion, throughput improvements, and manufacturing efficiency while maintaining quality and reliability standards. Develop and implement contamination prevention and monitoring programs for airborne

machine learningartificial intelligenceai
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Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. The OCT CPEE Diffusion Engineer is responsible for driving process and equipment engineering excellence within the Diffusion area to achieve world-class performance in safety, quality, cost, output, and technology enablement. The engineer will work closely with Manufacturing, Process Integration, Yield Enhancement, MAE, Central Teams, and Equipment Suppliers to improve equipment capability, manufacturing efficiency, productivity, and cost effectiveness. This role requires strong technical expertise, analytical problem-solving skills, and the ability to influence cross-functional teams to deliver sustainable business results Key Responsibilities Technical Excellence Drive Diffusion process and equipment performance improvements to support manufacturing objectives. Identify and implement opportunities to improve Manufacturing Availability (MA), Utilization, Throughput, WPD, and RPT. Lead technical investigations for equipment, process, and yield excursions using structured problem-solving methodologies. Develop innovative solutions to improve equipment capability, reliability, and productivity. Productivity & Capacity Improvement Support Max-Out, Productivity, Everest, WPD, and Cost Reduction initiatives.<

machine learningartificial intelligenceai
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Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. The OCT CPEE SEAL Engineer/Senior Engineer will lead Manufacturing Excellence initiatives through standardization, SEAL deployment, Wafer Per Day (WPD) improvements, and Intelligent Solutions across global manufacturing sites. This role will drive sustainable productivity improvements through process optimization, best-known method (BKM) deployment, data-driven execution, and AI-enabled transformation. The candidate will serve as a technical leader in identifying opportunities, accelerating pilot adoption, and scaling innovative solutions across technologies and sites while leveraging Artificial Intelligence (AI), automation, and advanced analytics to improve engineering effectiveness and manufacturing performance. Key Responsibilities Manufacturing Excellence & SEAL Lead development and deployment of global SEAL initiatives to standardize manufacturing BKMs and improve operational excellence. Drive Wafer Per Day (WPD), utilization, manufacturing availability (MA), and productivity improvements through process and equipment optimization. Partner with site and global stakeholders to identify performance gaps and execute improvement roadmaps. Facilitate alignment across technology nodes and fabs to ensure successful adoption of pr

machine learningartificial intelligenceai
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Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a key leader within High Bandwidth Memory (HBM) Product Engineering Media Health team, you will spearhead and develop a high performing team driving both intrinsic and extrinsic reliability test development and execution for Micron’s latest HBM products, both on DRAM and Interface die and a stacked product. Your responsibility is to drive extrinsic DPM reduction (Time 0 and Field DPM) and lead the intrinsic reliability charter, along with optimized Manufacturing Test Flow to meet critical KPI’s Quality, Cost and Cycle Time. You will be leading the team to characterize the products from reliability aspect, identify the reliability gaps, working on root cause and resolution of qual and RMA failures pertaining to defectivity and intrinsic reliability margin and drive fab process improvement driven by the qual failures. Additionally, your team will also be the key person in frontend process conversion, where you will work with Fab, TD, GQ teams to establish robust business process for process conversions to facilitate yield improvements, DPM and Cost Reduction. You will collaborate across functions within and outside of HBM to meet both strategic and tactical objectives while continually maximizing the effectiveness of the HIG HBM PE organization. The future of HBM are exciting and dynamics. Micron is s

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