Overview Job Title: Machine Learning Infrastructure Engineer - Computer Vision & AI Employer: The Mice Groups, Inc. Location Redwood City, CA (Hybrid) Employment type Contract-to-Hire or Full-Time Compensation Base pay range: $150,000.00/yr - $180,000.00/yr Responsibilities Note: The original description did not include explicit responsibilities. Please provide a responsibilities section to complete the job posting. Required Qualifications 6+ years of industry experience (minimum 4 years in the U.S.) BS/MS in Computer Science or related field Strong foundation in machine learning, deep learning, and computer vision Proven experience with scalable ML infrastructure and distributed systems Proficient in Python and software development best practices Experience with LLMs, LVMs, and RAG in production environments Excellent communication and collaboration skills Nice to Have Experience working in real-time video processing environments Familiarity with cloud-based ML platforms and MLOps tools Interview Process Initial phone/video screen Onsite interview (includes technical deep dive and team fit) Additional postings The original content included multiple postings for similar roles and salary ranges in different locations. Those items have been omitted to focus on the current role.
04/02/2026
Full time
Overview Job Title: Machine Learning Infrastructure Engineer - Computer Vision & AI Employer: The Mice Groups, Inc. Location Redwood City, CA (Hybrid) Employment type Contract-to-Hire or Full-Time Compensation Base pay range: $150,000.00/yr - $180,000.00/yr Responsibilities Note: The original description did not include explicit responsibilities. Please provide a responsibilities section to complete the job posting. Required Qualifications 6+ years of industry experience (minimum 4 years in the U.S.) BS/MS in Computer Science or related field Strong foundation in machine learning, deep learning, and computer vision Proven experience with scalable ML infrastructure and distributed systems Proficient in Python and software development best practices Experience with LLMs, LVMs, and RAG in production environments Excellent communication and collaboration skills Nice to Have Experience working in real-time video processing environments Familiarity with cloud-based ML platforms and MLOps tools Interview Process Initial phone/video screen Onsite interview (includes technical deep dive and team fit) Additional postings The original content included multiple postings for similar roles and salary ranges in different locations. Those items have been omitted to focus on the current role.
Overview Job Title: Machine Learning Infrastructure Engineer - Computer Vision & AI Employer: The Mice Groups, Inc. Location Redwood City, CA (Hybrid) Employment type Contract-to-Hire or Full-Time Compensation Base pay range: $150,000.00/yr - $180,000.00/yr Responsibilities Note: The original description did not include explicit responsibilities. Please provide a responsibilities section to complete the job posting. Required Qualifications 6+ years of industry experience (minimum 4 years in the U.S.) BS/MS in Computer Science or related field Strong foundation in machine learning, deep learning, and computer vision Proven experience with scalable ML infrastructure and distributed systems Proficient in Python and software development best practices Experience with LLMs, LVMs, and RAG in production environments Excellent communication and collaboration skills Nice to Have Experience working in real-time video processing environments Familiarity with cloud-based ML platforms and MLOps tools Interview Process Initial phone/video screen Onsite interview (includes technical deep dive and team fit) Additional postings The original content included multiple postings for similar roles and salary ranges in different locations. Those items have been omitted to focus on the current role.
04/02/2026
Full time
Overview Job Title: Machine Learning Infrastructure Engineer - Computer Vision & AI Employer: The Mice Groups, Inc. Location Redwood City, CA (Hybrid) Employment type Contract-to-Hire or Full-Time Compensation Base pay range: $150,000.00/yr - $180,000.00/yr Responsibilities Note: The original description did not include explicit responsibilities. Please provide a responsibilities section to complete the job posting. Required Qualifications 6+ years of industry experience (minimum 4 years in the U.S.) BS/MS in Computer Science or related field Strong foundation in machine learning, deep learning, and computer vision Proven experience with scalable ML infrastructure and distributed systems Proficient in Python and software development best practices Experience with LLMs, LVMs, and RAG in production environments Excellent communication and collaboration skills Nice to Have Experience working in real-time video processing environments Familiarity with cloud-based ML platforms and MLOps tools Interview Process Initial phone/video screen Onsite interview (includes technical deep dive and team fit) Additional postings The original content included multiple postings for similar roles and salary ranges in different locations. Those items have been omitted to focus on the current role.
Base pay range $185,000.00/yr - $225,000.00/yr About the Role We are seeking a Senior Firmware Engineer to join a pioneering team developing next-generation AI/ML solutions. In this role, you will contribute to the architecture and full lifecycle development of an advanced AI platform system. You'll be responsible for building production-grade firmware and firmware APIs that enable resource management and optimization across cutting-edge hardware platforms. This is a hands-on engineering role that involves close collaboration with hardware and software teams to implement communication management software for diverse use cases. Key Responsibilities Design, develop, and test firmware for advanced AI platform systems. Develop firmware APIs for resource management and optimization. Collaborate with cross-functional teams to integrate firmware with hardware and software components. Debug complex hardware/firmware issues using industry-standard tools. Minimum Qualifications Bachelor's degree with 8+ years of experience, or Master's degree with 6+ years in Computer Science, Electrical Engineering, Information Technology, or related field. 7+ years of hands-on experience in firmware or embedded software development. Strong proficiency in C and/or C++ for embedded systems. Experience with microcontroller architectures (e.g., ARM Cortex-M/R/A, ESP32, RISC-V). Skilled in debugging using tools such as: In-circuit debuggers (JTAG/SWD) with GDB Oscilloscopes for signal waveform analysis Logic analyzers for digital bus traffic (SPI, I2C, UART) Multimeters and power supplies for electrical troubleshooting Experience writing bare-metal drivers and working directly with device registers. Familiarity with Git and bug tracking tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Interview Process Initial phone screen with the hiring manager. Two onsite technical interviews.
04/02/2026
Full time
Base pay range $185,000.00/yr - $225,000.00/yr About the Role We are seeking a Senior Firmware Engineer to join a pioneering team developing next-generation AI/ML solutions. In this role, you will contribute to the architecture and full lifecycle development of an advanced AI platform system. You'll be responsible for building production-grade firmware and firmware APIs that enable resource management and optimization across cutting-edge hardware platforms. This is a hands-on engineering role that involves close collaboration with hardware and software teams to implement communication management software for diverse use cases. Key Responsibilities Design, develop, and test firmware for advanced AI platform systems. Develop firmware APIs for resource management and optimization. Collaborate with cross-functional teams to integrate firmware with hardware and software components. Debug complex hardware/firmware issues using industry-standard tools. Minimum Qualifications Bachelor's degree with 8+ years of experience, or Master's degree with 6+ years in Computer Science, Electrical Engineering, Information Technology, or related field. 7+ years of hands-on experience in firmware or embedded software development. Strong proficiency in C and/or C++ for embedded systems. Experience with microcontroller architectures (e.g., ARM Cortex-M/R/A, ESP32, RISC-V). Skilled in debugging using tools such as: In-circuit debuggers (JTAG/SWD) with GDB Oscilloscopes for signal waveform analysis Logic analyzers for digital bus traffic (SPI, I2C, UART) Multimeters and power supplies for electrical troubleshooting Experience writing bare-metal drivers and working directly with device registers. Familiarity with Git and bug tracking tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Interview Process Initial phone screen with the hiring manager. Two onsite technical interviews.