Computer Vision Research Scientist

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8773631

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1 ימים

Senior Delivery Consultant - AI/ML - Application Development, Professional Services Israel

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking an experienced Senior Delivery Consultant - Modernization with deep expertise in Artificial Intelligence to join our Professional Services (ProServe). This role combines strategic architectural vision with hands-on technical leadership to deliver innovative AI solutions that drive customer success and business transformation across diverse industries and use cases.

Key job responsibilities
* Architecture & Design: Design and architect end-to-end AI-powered application solutions aligned with customer business objectives and technical requirements.
* Define application architecture patterns, standards, and best practices for AI/ML integration on us.
* Create technical roadmaps for customer AI application development and modernization initiatives
* Evaluate and recommend AWS AI/ML services and technologies including our Bedrock, SageMaker, and generative AI solutions
* Design data pipelines and ETL processes to support AI model training and inference using AWS services
* Customer Engagement & Consulting:
Lead customer engagements from discovery through implementation, serving as trusted technical advisor
* Conduct AI readiness assessments and develop adoption strategies tailored to customer maturity levels
* Facilitate architecture workshops and design sessions with customer stakeholders
* Deliver Well-Architected reviews focused on AI/ML workloads
* Build strong relationships with customer technical teams and executive leadership
* Guide customers in constructing AI processes aligned with AWS best practices
* Technical Leadership: Lead cross-functional teams in implementing AI solutions from concept to production
* Provide technical guidance on AI model integration, deployment strategies, and optimization on AWS
* Conduct architecture reviews ensuring solutions meet scalability, performance, security, and cost-efficiency requirements
* Mentor customer teams and junior ProServe consultants on AI best practices and AWS technologies
* Collaborate with data scientists, ML engineers, and software developers to translate AI models into production applications
* AI Solution Development: Design architectures for generative AI applications including RAG (Retrieval-Augmented Generation) systems, chatbots, and intelligent agents using Amazon Bedrock
* Architect real-time and batch AI inference pipelines with appropriate monitoring and observability
* Implement MLOps practices using SageMaker for model versioning, deployment automation, and continuous improvement
* Design solutions for responsible AI including bias detection, explainability, and governance frameworks
* Optimize AI application performance, cost, and resource utilization across AWS services
Knowledge Sharing & Thought Leadership
* Develop reusable assets, reference architectures, and best practice documentation
* Contribute to AWS ProServe knowledge base and customer-facing content

דרישות:
Basic Qualifications
- 10+ years of software development experience.
- 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience.
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
- Knowledge of programming languages such as C/C++, Python, Java or Perl.
- Master's degree in computer science, engineering, mathematics or equivalent, or experience in defining and creating benchmarks for assessing GenAI model performance.
- Understanding of various AI domains: NLP, computer vision, recommendation systems, predictive analytics.
- Willingness to travel to customer sites as needed.

Preferred Qualifications
- Certified Machine Learning Specialty or AI Practitioner or Generative AI - Associate.
- Contributions to open-source AI projects or published research.
- Experience with responsible AI frameworks, governance practices, and compliance requirements.
- Prior experience in ProServe, consulting, or systems integrati המשרה מיועדת לנשים ולגברים כאחד.

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8802053

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09/08/2026

Senior Deep Learning Researcher, LLM Inference

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking a highly motivated Senior Deep Learning Researcher to join our team! This is an outstanding opportunity to conduct impactful research and develop the next generation of large language model (LLM) inference algorithms. You will work on technologies that directly enhance our software, making the latest LLMs more efficient and accessible for users worldwide.

By joining us, you will be part of a strategic effort to establish us as the definitive platform for high-performance LLM inference. You will engage with our skilled problem-solvers and top organizations, crafting AI technology advancements.

What you'll be doing:
Research, invent, and implement groundbreaking algorithms for LLM inference to advance the state of the art in both low-latency and high-throughput scenarios.

Translate research into practical software solutions that directly impact our products and customers.

Collaborate with internal research, engineering, and product teams across the globe to drive the development of advanced inference technologies.

Analyze the performance of new algorithms on our latest hardware, identifying bottlenecks and opportunities for algorithmic optimizations.

Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications.

Requirements:
What we need to see:

MSc/PhD in Computer Science, Electrical Engineering, or a closely related field.

At least 5 years of relevant experience in deep learning research or applied research.

Publications in a top-tier AI/ML conference (e.g., NeurIPS, ICLR, ICML).

Deep understanding of LLM architectures coupled with hands-on experience in training large-scale models.

Excellent programming skills, particularly in Python and deep learning frameworks like PyTorch, and experience with software engineering standards.

A strong problem-solving mentality and a proactive attitude, driven by the ambition to deliver solutions with real-world impact.

Ways to stand out from the crowd:

Hands-on research experience in LLM inference optimization algorithms such as speculative decoding or parallelization strategies.

Proven experience with High-Performance Computing (HPC) environments, including training or running inference on large-scale GPU clusters (tens to hundreds of GPUs).

Deep familiarity and experience with popular LLM inference systems (e.g., vLLM, TensorRT-LLM).

Experience from a world-class industrial research group or a top-tier institution.

This position is open to all candidates.

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8773626

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30/07/2026

ML Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking a detail-oriented and collaborative Senior ML Engineer to help support and maintain our machine learning capabilities. This role is ideal for someone who enjoys working closely with production systems, ensuring reliability, scalability, and explainability of models while enabling research teams to deliver impact faster.

Responsibilities

Collaborate with cross-functional teams to ensure ML systems remain robust, explainable, and aligned with business needs.
Monitor and report on ML model performance, reliability, and explainability metrics.
Participate in model retraining procedures, implement automation and optimization of MLOps pipelines.
Extend and scale monitoring pipelines, including support for new features in development.
Investigate, troubleshoot, and resolve issues in production ML workflows (tiered support from initial triage to root-cause analysis with model owners).
Develop and maintain repositories for feature engineering, inference monitoring pipelines, and artifact monitoring tools.
Perform exploratory data analysis (EDA) on historical datasets to identify quality issues and maintain data health.
Implement and oversee production based adjusters across customer deployments.
Evaluate and track critical ML artifacts such as explainability files, coverage metrics, and alignment of features.
Support development and maintenance of internal tools (e.g., interfaces, registries, and feature monitoring frameworks).
Build and maintain static and temporal features, including seasonality, event-based, and price-related features.

Requirements:
5+ years of hands-on experience in data science, ML operations, or applied ML support.
Proficiency in Python and standard data/ML libraries (Pandas/Polars, NumPy, Scikit-learn, SQL; experience with PyTorch or TensorFlow is a plus).
Strong data visualization and exploratory data analysis skills for monitoring and debugging pipelines.
Experience with time-series data and feature engineering.
Familiarity with explainability tools and model monitoring best practices.
Strong problem-solving skills with the ability to troubleshoot across data, code, and model workflows.
Excellent communication skills to summarize findings for both technical and non-technical audiences.
Experience with cloud-based ML platforms - preferably GCP
Familiarity with containerization (Docker), K8s, CI/CD workflows, or ML observability tools.
Familiarity with orchestration tools such as Airflow, Kedro or Dagster is a plus.
Prior exposure to demand forecasting, pricing, or revenue management.
Bachelor's or Master's in Computer Science, Machine Learning, Statistics, Engineering or a relevant field.

This position is open to all candidates.

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8762148

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חברת השמה / כח אדם

6 ימים

AI Software Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

This role sits at the intersection of AI and high-performance systems engineering, focused on solving real-world problems under strict constraints. You will work on systems where performance and reliability are critical and where improvements have a direct, measurable impact on real-world safety.

This is a senior, systems-focused role with end-to-end ownership over performance and reliability of production computer vision pipelines. You will define optimization strategies, identify bottlenecks across the system, and drive improvements under real-world constraints.

What youll do
Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server).
Take models from research and turn them into production-ready, reliable components deployed on vessels.
Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessing
Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination.
Make and justify tradeoffs between latency, accuracy, stability, and resource utilization.
Design and implement robust data and inference pipelines (video -> model -> actionable output for crew).
Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating.
Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems.
Define and maintain clear interfaces between research code and production systems.
Work closely with research and backend teams to integrate new models into production systems.
Continuously improve system efficiency and reliability under hardware and runtime constraints.

Requirements:
Requirements:
5+ years of software engineering experience, with a strong focus on systems and performance.
Hands-on experience working with computer vision or deep learning systems in production.
Strong programming skills in Python and/or C++.
Experience working with edge or embedded systems (e.g., NVIDIA Jetson platforms).
Strong understanding of system bottlenecks, including CPU, GPU, memory, and latency constraints.
Strong intuition for profiling-driven optimization and performance tuning.
Experience debugging complex systems and reasoning about behavior in real-world, noisy environments.

Strong advantage:
Experience working with edge or embedded systems.
Experience working with custom high-performance data or inference pipelines.
Familiarity with multi-sensor fusion (e.g., combining vision with radar or other signals).
Experience deploying and maintaining ML models in production environments.
Experience with low-level optimization and/or C++ performance tuning.
Proven experience optimizing model inference (e.g., TensorRT, ONNX Runtime, quantization, pruning, or similar techniques).

This position is open to all candidates.

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8796312

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16/08/2026

Software Engineering INTERN

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Internship

As a Software Engineer Intern in the MSC IL AI Innovation team, you will contribute to the design, development, testing, and delivery of AI-powered features and services for our Specialized Clouds organization. You will work with mentors and engineering team members to build reliable, secure, and responsible software, while learning modern AI engineering practices across prompts, retrieval, agents, evaluation, observability, and cloud-native development.

This internship is designed for entrepreneurial, creative, and highly motivated students who are passionate about building AI-native products, taking ownership in ambiguous 0 to 1 environments, and using AI throughout the engineering lifecycle to solve complex, high-impact problems in sovereign and regulated cloud environments.

Responsibilities
Develop, test, debug, and maintain software components for AI-powered products, services, or internal tools.

Contribute production-quality code that is maintainable, secure, performant, and aligned with team standards.

Partner with mentors, engineers, product managers, and stakeholders to understand user requirements and translate them into engineering tasks.

Contribute to AI features such as agents, tool/API integrations, prompt flows, retrieval workflows, evaluation harnesses, and monitoring capabilities.

Help define and run tests, evaluations, and quality checks for AI behavior, including accuracy, relevance, groundedness, and reliability.

Investigate issues using logs, traces, test results, and debugging tools, and incorporate feedback into improved solutions.

Learn and apply engineering best practices across code quality, security, responsible AI, CI/CD, documentation, and observability.

Document work clearly and share implementation details with team members to support continuity and knowledge sharing.

Collaborate effectively with team members in a dynamic, ambiguous environment; adapt quickly across technologies, stacks, and engineering tasks; proactively seek and incorporate feedback; and contribute to shared goals while building technical depth.

Requirements:
Required qualifications

Currently pursuing an M.Sc. or M.A. degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field, with at least 3 semesters remaining

Programming experience in one or more general-purpose languages such as Python, C#, Java, JavaScript/TypeScript, C++, or similar.

Understanding of core computer science fundamentals, including data structures, algorithms, software design, and debugging.

Ability to communicate clearly, collaborate effectively, adapt across technologies and engineering tasks, and learn quickly in a team environment.

Preferred qualifications

Currently pursuing a Doctorate in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field, with at least one semester/term remaining after the internship.

1+ year of programming experience.

6+ months of experience delivering projects in teams, through coursework, internships, open-source work, research, or personal projects.

1+ year of experience developing and applying data structures and algorithms.

Familiarity with AI, machine learning, generative AI, LLMs, agents, retrieval-augmented generation, prompt engineering, or evaluation methods.

Basic familiarity with cloud platforms, REST APIs, SDKs, CI/CD, telemetry, or observability.

Interest in responsible AI, security, reliability, and building software for regulated or sovereign cloud environments.

Demonstrated entrepreneurial mindset, creativity, initiative, ownership, and persistence in identifying meaningful problems, exploring unconventional solutions, and turning ambiguous ideas into tangible outcomes in 0 to 1 product spaces.

This position is open to all candidates.

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8782901

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חברת השמה / כח אדם

28/07/2026

Deep Learning Engineer - Prediction & Policy

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an exceptional Deep Learning Engineer to join our core autonomy team. In this role, you will be responsible for building the AI-driven "brain" of our autonomous driving technology. Your focus will be on designing, training, and deploying state-of-the-art Deep Learning models that handle high-level prediction and driving policy. You will solve complex, real-world challenges by leveraging advanced neural network architectures to optimize decision-making under high uncertainty.

Responsibilities:
Model Training & Architecture: Design, train, and optimize cutting-edge Deep Learning models for prediction and driving policy.
End-to-End DL Development: Take ownership of the full DL lifecycle, from data curation and feature engineering to training, evaluation, and deployment.
Scalable Infrastructure: Develop robust pipelines for training and evaluating models on massive, real-world driving datasets.
Production Deployment: Optimize and integrate deep learning models to run efficiently in real-time within the core autonomy software stack.
Full-time availability at our Tel Aviv HQ.

Requirements:
Education: M.Sc. or Ph.D. in Computer Science, Data Science, Electrical Engineering, or a related quantitative field with a focus on Deep Learning.
Deep Learning Expertise: 3+ years of hands-on experience designing and training complex Deep Learning models.
Frameworks: Strong proficiency with PyTorch.
Strong Coding: Exceptional programming skills in Python.
Data-Driven Problem Solver: Proven track record of leveraging massive datasets to solve open-ended AI challenges and translating research into production-grade models.

This position is open to all candidates.

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8757507

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06/08/2026

Software Engineer (DS Team)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We're looking for a software engineer who specializes in machine learning - someone whose core strength is writing excellent, production-grade code. You'll own the engineering quality of our ML systems: building, maintaining, and monitoring the services that run our models in production, and helping our data scientists ship code that's readable, maintainable, and built to last.

Responsibilities

Transition ML workloads from research to production - ensuring scalability, efficiency, and reliability.
Design, build, and maintain ML services, their infrastructure, and monitoring across their lifecycle.
Integrate ML into our production systems, working closely with the engineering and devops teams.
Own the data infrastructure and tooling our ML systems rely on, and shape unstructured data into a form ready for analysis.
Help data scientists write readable, maintainable code, and raise software engineering standards across the team.

Requirements:
4+ years as a software engineer, with some hands-on experience in the ML domain.
Strong Python and software-engineering fundamentals: OOP, design patterns, SOLID, clean code, and architecture.
Bachelor's degree or higher in Computer Science or another STEM field.
Solid grasp of core ML concepts (e.g., linear regression) - you understand the models you put into production.
Experience building services and tools that track the ML lifecycle and optimize ML workloads.
Working knowledge of data cleaning and wrangling, and the right tools for the job.
Experience with AWS (concretely EKS).
Driven and result-oriented.
A solid track record of execution, with strong attention to detail.
Nice to have

Experience integrating MLOps tooling - experiment trackers, data versioning, and practices such as CI/CD/CT.
Ops experience with AWS and Kubernetes.
Data science exposure, particularly deploying and maintaining models.

This position is open to all candidates.

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8771389

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10/08/2026

Product Data Scientist (Customer-facing)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for a sharp and driven Product Data Scientist to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.

What does the day to day of a Product Data Science Customer Facing (Data Labs) look like:

Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly

Requirements:
Bachelors degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience).
3+ years of experience as a Product Data Scientist, Solutions Engineer, or in a similar analytical role.
Strong proficiency in SQL and Python.
Demonstrated experience solving complex analytical problems using quantitative and statistical approaches.
Experience working in customer-facing environments, including: Collaborating with a wide range of stakeholders - including Engineers, Sales, and customer-facing teams - to scope problems, align on requirements, and deliver data-driven- solutions that meet customer and business needs.
Proven experience owning enterprise customer engagements end to end, including feasibility evaluation, solution design, implementation, and ongoing delivery of data-driven insights.
Excellent communication skills in English, with the ability to present insights clearly and influence both technical and non-technical audiences.
Proven ability to independently lead and own analytical initiatives end to end in ambiguous, fast-paced environments.
Master's Degree in a quantitative field - Big Advantage.

This position is open to all candidates.

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8775619

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10/08/2026

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for a Data Engineer to join our Data Labs (DL) department, which specializes in professional services for our super-premium customers. This role will report to our DL (Datalabs) Data Science Team Manager in the R&D.

As part of this role, you will create and support a complex data model pipeline that helps analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions

As a data engineer in the Datalabs team, you will work on the very core of the company. Part of your role will be to create processes that help turn raw data into usable metrics and leverage AI models and statistical algorithms to support out-of-the-box requests from customers who want custom data labs. The Datalabs departments business-oriented nature also means you will be supporting a team of analysts and data scientists who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class data labs.

So, what will you be doing all day?

Building and maintaining our big-data pipelines
Take a major part in designing and implementing complex high-scale systems using a large variety of technologies
Be part of a team with smart and motivated engineers, and data scientists, to collaborate on the planning, development, and maintenance of our products
Implement solutions in the AWS cloud environment, and work in Databricks with PySpark

Requirements:
Holds a BSc degree in Computer Science or equivalent practical experience.
You love building robust, fault-tolerant, and scalable systems and products
You are a go-getter and a team player with a sense of ownership.
Has at least 3+ years of server-side software development experience in one or more general-purpose programming languages (C#, Go, Python, etc.)
Experience building large-scale web APIs: advantage for working with Microservices architecture, AWS, and databases (Redis, PostgreSQL, Firebolt)
Familiarity with Big Data technologies: A familiarity with Spark, Databricks, and Airflow is a big advantage.
Worked in a cloud environment such as AWS or GCP, and is familiar with its different services.
Familiarity with ML pipelines and applications
Familiarity with LLM tools and frameworks

This position is open to all candidates.

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