Machine Learning Software Engineer

Mobileye

. Bridge cutting-edge machine learning research and robust production deployment .

Posted 9/17/2026full-timeRamat Gan • IsraelMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining production deployment systems for machine learning algorithms, with a strong focus on Python programming, containerization, and orchestration technologies. Proficient in building scalable inference pipelines and staying current with MLOps practices and emerging technologies.

Highest-signal resume keywords

Python ProgrammingDockerKubernetesMLOpsInference Optimization

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine Learning AlgorithmsProduction Deployment SystemsInference PipelinesModel Serving FrameworksDistributed Systems

Soft Skills

Problem-Solving

Certifications & Qualifications

B.Sc. in Computer ScienceB.Sc. in Software Engineering

Industry Keywords

Computer VisionNatural Language ProcessingContainerizationOrchestration Technologies

Tech Stack

Tools & technologies

Distributed SystemsDockerKubernetesPython

About the role

Key responsibilities & impact

Bridge cutting-edge machine learning research and robust production deployment
Develop production deployment systems for classical and machine learning algorithms
Build robust, scalable inference pipelines
Develop primarily in Python and infrastructure tools such as Kubernetes and Docker
Maintain existing deployment systems and develop new production capabilities
Learn and implement new deployment technologies and best practices
Stay current with MLOps and inference optimization techniques
Address emerging production challenges
Stay informed about emerging computer vision and NLP solutions

Requirements

What you’ll need

B.Sc. in Computer Science, Software Engineering, or related technical field
Strong problem-solving skills and ability to tackle complex, real-world production challenges
Proficiency in Python
Experience with containerization and orchestration technologies (Docker, Kubernetes) — advantage
Hands-on experience with model serving frameworks and inference optimization — advantage
Background in distributed systems — advantage

Benefits

Comp & perks

Full-time employment
Hybrid work arrangement