Machine Learning Engineer

Philippines, Cavite, GTC

Analog Devices

Analog Devices is a global leader in the design and manufacturing of analog, mixed signal, and DSP integrated circuits to help solve the toughest engineering challenges.

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Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible. Learn more at www.analog.com and on LinkedIn and Twitter (X)

          

Job Title: Staff Machine Learning Engineer (P4)

Department: Software and Security Group - SSG

Job Summary:

As an experienced Machine Learning (ML) or Artificial Intelligence (AI) Engineer, you will take a key role in solving complex technical problems and driving innovation. As a senior team member, you will collaborate across teams, provide mentorship, and contribute to the development of new theories and methodologies.

Key Responsibilities:

  • Lead and contribute to the design, development, and deployment of ML/AI solutions for complex projects.
  • Act as a technical mentor, guiding less experienced engineers.
  • Conduct in-depth analysis and problem resolution with minimal supervision.
  • Collaborate cross-functionally to drive new solutions, often assuming leadership in team projects.
  • Develop and implement new methodologies, models, and algorithms.
  • Contribute to strategy and long-term vision for AI/ML capabilities within the organization.

Key Qualifications:

  • Bachelor's degree in Computer Engineering, Electrical Engineering, or related field (Master’s/Ph.D. preferred).
  • 8+ years of hands-on experience in AI/ML, including deploying and optimizing models.
  • Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (Python, R, C++).
  • Proven track record of solving complex, high-impact problems in critical environments.
  • Strong leadership and teamwork skills, with a demonstrated ability to lead projects and mentor team members.
  • Experience with cloud-based AI/ML services (AWS, Azure, or GCP). Experience in deploying a model on a constraint hardware platform (microcontroller or FPGA) is an advantage.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

Job Req Type: Experienced

          

Required Travel: Yes, 10% of the time

          

Shift Type: 1st Shift/Days
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure Engineering FPGA GCP Machine Learning Python PyTorch R Security TensorFlow

Region: Asia/Pacific
Country: Philippines

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