Senior Machine Learning Engineer Agentic Development
2 weeks ago
Company Description
Axiado is an AI-enhanced security processor company redefining the control and management of every digital system. The company was founded in 2017, and currently has 150+ employees. At Axiado, developing great technology takes more than talent: it takes amazing people who understand collaboration, respect each other, and go the extra mile to achieve exceptional results. It takes people who have the passion and desire to disrupt the status quo, deliver innovation, and change the world. If you have this type of passion, we invite you to apply for this job.
Job Description
We are seeking a hands-on Senior Machine Learning Engineer to design, build, and deploy intelligent agents on our edge devices. These agents will operate autonomously in resource-constrained environments, performing complex tasks like real-time log analysis, on-device computer vision, and secure system-level interactions.
This role requires a unique blend of modern AI development (agentic workflows, LLMs) and classic systems-level domain knowledge. You will be responsible for creating agents that can perceive their environment (through logs, video, and system data), reason, and act securely and efficiently on our custom hardware.
Key Responsibilities
- Design, build, and deploy autonomous agentic systems for resource-constrained edge devices.
- Implement agent capabilities that leverage deep domain knowledge, specifically in:
- Real-time log analysis and anomaly detection.
- Efficient, on-device computer vision (CV) model execution and interpretation.
- Interaction with system-level open-sourced tools for data gathering and system monitoring.
- Develop and integrate secure, high-performance communication channels for agent-to-agent (A2A) and management-to-controller (MCP) interactions.
- Implement robust MCP authentication and secure communication protocols for all agent operations.
- Optimize the full agent stack—from the ML model to the application logic—for high performance and low footprint (latency, memory, power) on our target hardware.
- Collaborate with MLOps and firmware teams to create robust deployment and update pipelines for agents in the field.
Qualifications
- 5+ years of hands-on experience in software engineering or machine learning.
- B.S. or M.S. in Computer Science, Electrical Engineering, or a related field (or equivalent practical experience).
- Proven experience building systems with LLMs and/or agentic frameworks (e.g., LangChain, LlamaIndex, or custom-built agents).
- Strong, demonstrable domain knowledge in log analysis and/or computer vision.
- Experience with network protocol development or integration, with specific knowledge of MCP/A2A-like systems and authentication mechanisms.
- Strong programming skills in Python and familiarity with data-intensive applications.
- Experience using and integrating open-source tools for system monitoring, log processing (e.g., ELK stack, Prometheus), or CV (e.g., OpenCV).
Preferred Qualifications (The "Plus" Factors)
- Direct, hands-on experience with embedded system development (e.g., C, C++, Rust, Yocto, RTOS).
- Experience optimizing ML models (quantization, pruning) for edge devices (e.g., NPUs, FPGAs, or other accelerators).
- Deep understanding of network security and secure coding practices.
- Knowledge of ML compilers like Apache TVM or MLIR
Additional Information
Axiado is committed to attracting, developing, and retaining the highest caliber talent in a diverse and multifaceted environment. We are headquartered in the heart of Silicon Valley, with access to the world's leading research, technology and talent.
We are building an exceptional team to secure every node on the internet. For us, solving real-world problems takes precedence over purely theoretical problems. As a result, we prefer individuals with persistence, intelligence and high curiosity over pedigree alone. Working hard and smart, continuous learning and mutual support are all part of who we are.
Axiado is an Equal Opportunity Employer. Axiado does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
-
Machine Learning
15 hours ago
San Jose, California, United States Nisum Full timeWhat You'll DoWe are seeking a Machine Learning & Generative AI Engineer with strong expertise in the Azure ecosystem and Databricks, combined with experience in Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and agentic systems with tool use.The ideal candidate will be comfortable designing and deploying ML and GenAI systems end-to-end,...
-
Machine Learning
1 week ago
San Jose, California, United States Nisum Full time $120,000 - $180,000 per yearWhat You'll DoWe are seeking a Machine Learning & Generative AI Engineer with strong expertise in the Azure ecosystem and Databricks, combined with experience in Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and agentic systems with tool use.The ideal candidate will be comfortable designing and deploying ML and GenAI systems end-to-end,...
-
Senior Machine Learning Engineer
10 hours ago
San Francisco, California, United States Uber Full timeAbout the Team The Applied AI team collaborates with product teams across Uber to deliver innovative AI solutions for core business problems. We work closely with engineering, product and data science teams to understand core business problems and the potential for AI solutions, then deliver those AI solutions end-to-end. Key areas of expertise include...
-
Machine Learning Engineer
6 days ago
San Jose, California, United States TikTok Full time $359,720 per yearMachine learningMachine Learning Engineer - Trae USDSLocation:San JoseEmployment Type:RegularJob Code:A25053AResponsibilitiesTRAE (The Real AI Engineer) is an intelligent engineering product capable of understanding requirements, orchestrating tools, and independently completing development tasks, providing users with end-to-end software generation...
-
Head of Machine Learning
6 days ago
San Francisco, California, United States Attis Full time $260,000 per yearHead of Machine Learning – Generative AI for the Physical WorldOverviewA rare opportunity has emerged for a visionary Head of Machine Learning to build the core intelligence for a stealth-mode, well-funded AI company. This foundational leadership role is for someone passionate about teaching machines to understand and engineer the physical world, moving...
-
Machine Learning Engineer 3
6 days ago
San Jose, California, United States Adobe Full time $120,700 - $228,600 per yearOur CompanyChanging the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact...
-
Senior Applied Machine Learning Engineer
1 week ago
San Francisco, California, United States MaintainX Full time $150,000 - $250,000 per yearMaintainX is the world's leading mobile-first Asset and Work Intelligence platform for industrial and frontline environments. We're a modern, IoT-enabled, cloud-based solution that powers maintenance, safety, and operations on physical equipment and facilities.We help 12,000+ organizations—including Duracell, Univar Solutions, Titan America, McDonald's,...
-
Senior Machine Learning Engineer
1 week ago
San Francisco, California, United States Toi Labs Full time $120,000 - $180,000 per yearAbout UsToi Labs is a pioneering health technology company based in San Francisco, dedicated to enhancing wellness through innovative in-home health monitoring solutions. Our flagship product, TrueLoo, is an AI-powered smart toilet seat designed to seamlessly integrate into daily routines while providing continuous health insights. By optically scanning and...
-
Machine Learning Engineer
6 days ago
San Francisco, California, United States Ema Full time $135,000 - $200,000 per yearWho We AreEma is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We've raised capital from notable...
-
Machine Learning Engineer
1 week ago
San Jose, California, United States Intime Infotech Inc Full time $120,000 - $200,000 per yearPlease share resume at no fake visa, DL,VISA,PASSPORT AND FRONT AND BACK COPY VISA AND DLJob Role: Machine learning engineerLocation: CA-California/San Jose(Hybrid)Duration: 12 month/ ContractWork Authorization: no h1b, local oneInterview Mode: VideoJob Description:Interview Mode - VideoWorking Mode - HybridJob Description:What You'll DoRedesign and...