Senior Algorithm Engineer

4M Analytics

. Research and implement novel computer vision and algorithmic solutions for perception, learning, optimization, and graph-based reasoning .

Posted 10/11/2026full-timeTel Aviv • IsraelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in computer vision and algorithm development, with a strong foundation in deep learning frameworks such as PyTorch. Proven ability to take ownership of projects from research to production, ensuring high-quality algorithm performance and effective communication with diverse stakeholders.

Highest-signal resume keywords

Computer Vision ExpertiseDeep Learning FrameworksPython ProgrammingEnd-to-End OwnershipAlgorithm Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computer VisionAlgorithm DevelopmentDeep LearningPyTorchPythonProduction-Grade CodeProblem-SolvingAI Tools ExperimentationGraph-Based ReasoningModel Monitoring

Soft Skills

Self-MotivatedAccountabilityGood CommunicationCuriosityEntrepreneurial Mindset

Tools & Technologies

AWS Cloud ServicesSageMakerS3EC2AI-Augmented Workflows

Certifications & Qualifications

B.Sc.M.Sc.Ph.D.

Industry Keywords

Algorithmic SolutionsProduction ReliabilityTechnical CultureGIS DatasetsGeospatial Computer Vision

Tech Stack

Tools & technologies

AWSCloudEC2PythonPyTorch

About the role

Key responsibilities & impact

Research and implement novel computer vision and algorithmic solutions for perception, learning, optimization, and graph-based reasoning
Design experiments, evaluate results, and drive iterations to meet production reliability targets
Take ownership of algorithm quality end-to-end from research through production
Collaborate with algorithm, data engineering, and product teams
Monitor production model health and identify degradation early
Lead remediation efforts for model degradation
Integrate AI tools into the engineering workflow
Design solutions and direct AI agents to implement them
Contribute to technical culture through code reviews, knowledge-sharing, and rigorous algorithmic thinking

Requirements

What you’ll need

Relevant B.Sc./M.Sc. with 7+ years of industry experience as a Computer Vision or Algorithm Engineer, OR relevant Ph.D. with 4+ years of relevant industry experience
Broad and deep computer vision background with strong algorithmic foundations
Deep proficiency in deep learning frameworks, with PyTorch preferred
Proficiency in Python and ability to write clean, production-grade code
Proven end-to-end ownership taking computer vision problems from research to production
Strong problem-solving skills for ambiguous, non-textbook problems
Self-motivated and entrepreneurial, with accountability for outcomes
Good communication skills for explaining complex algorithmic decisions to technical and non-technical stakeholders
Experience experimenting with AI tools, code assistants, LLMs, or AI-augmented workflows
Curiosity and motivation to develop an AI-first workflow
Preferred, not required: experience with GIS datasets or geospatial computer vision
Preferred, not required: familiarity with GNN / graph-based algorithms
Preferred, not required: experience with AWS cloud services, including SageMaker, S3, and EC2
Preferred, not required: background in active learning or AI-assisted annotation pipelines

Benefits

Comp & perks

High-autonomy culture with real responsibility from day one
Opportunity to work on cutting-edge computer vision and algorithmic problems
Full end-to-end ownership from research spike to production
Opportunity to grow into architect and team lead responsibilities
No micromanagement
Influence on technical culture, technology stack, and company direction
Collaboration with algorithm, data engineering, and product teams