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Intel

AI Algorithm Development Engineer

Intel is hiring an AI Algorithm Development Engineer. It pays $150k-$276k a year and Level rates it ; you can apply on Intel.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include PyTorch, TensorFlow and MLOps.
  • Level classifies it as a mid-level role.
  • Level lists 790 other open roles at Intel.
  • The role was posted in the last few days.

AI in this role

pytorchtensorflow
ml-opscomputer-vision
Job Details:

Job Description: 

We are seeking a highly motivated candidate to join our AI Algorithm Engineering team. This is an exceptional opportunity to work on cutting-edge AI algorithm research and development projects and to contribute to real-world solutions that impact Intel's business objectives. As an AI Algorithm Engineer, you will contribute to the design, development, and optimization of AI algorithms and their integration into solutions and frameworks for a variety of cross domain applications such as computer vision, machine learning, and deep learning.

You'll research and develop new techniques for defect detection and classification within our image analysis AI framework. You will refine the algorithms for use in production facilities and ultimately implement and tune these models for performance and accuracy for particular use cases. This role may also include contributing to the development of AI software solutions in partnership with internal product teams.

You will accomplish meaningful work that supports Intel business goals in a collaborative environment.


What We Offer

Mentorship from industry-leading AI engineers and researchers
Exposure to cutting-edge AI technologies and real-world applications
Collaborative work environment with opportunities for professional growth
Networking opportunities within Intel's global AI community

Key Responsibilities

  • Contribute to the research, development, and optimization of AI algorithms and stakeholder solutions
  • Assist in model implementation, tuning, and performance optimization for computer vision and machine learning applications
  • Engage in learning opportunities and skill-building activities aligned with career development goals
  • Support various projects that advance Intel's AI algorithm engineering objectives

Behavioral Skills:

  • Strong analytical and problem-solving abilities
  • Excellent communication skills
  • Self-motivation and ability to work effectively in team environments

Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualification:

  • Must have completed a PhD degree in engineering or a computer science program with emphasis on Artificial Intelligence OR Master's degree engineering or a computer science program or related field with 4+ years of experience
  • Specialization in an AI topic such as federated learning, image classification, or multiscale attention for object detection, computer vision, image processing, or feature engineering
    Coursework/skills or experience in the following:
  • Data engineering and preparation expertise: data engineering, feature engineering, data imbalance, noisy dataset management
  • Python and C++
  • PyTorch, TensorFlow, and OpenCV

Preferred Qualifications:

  • Experience in deploying AI applications in production environments, requiring high levels of precision and accuracy
  • Experience working within the semiconductor industry or similar technology sectors
  • Experience with Git, cloud platforms, cloud concepts, containers, Docker, and MLOps
  • Vision Language Models (VLM)

          

Job Type:

Tech Grad

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Oregon, Hillsboro

Additional Locations:

US, Arizona, Phoenix

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

 

 

Annual Salary Range for jobs which could be performed in the US: $149,750.00-275,580.00 USD

 

 

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

 

 

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

How we rate this

AI Algorithm Development Engineer at Intel rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsComputer visionPyTorchTensorFlow

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  3. What are the limits of PyTorch that you've run into, and how did you work around them?
  4. What's a project where you used TensorFlow hands-on?
  5. How would you decide a model or AI system is ready to ship?

Adapt your resume

  • List these exact terms on your resume: ML Ops, Computer vision, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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