Experienced Software Engineer - ML Platform

לפני 9 שעות

Experienced Software Engineer - ML Platform

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

our company's ML Platform group builds and operates the core infrastructure that powers large-scale AI workloads across on-prem bare-metal GPU clusters and multi-cloud environments. Our goal is to deliver the modern infrastructure and tooling that accelerates our company's entire algorithm development lifecycle - from a researcher's first experiment to a production deployment.
We are a small, independent group of engineers with diverse skills across software, infrastructure, and systems. We set the standards, build the cross-company products, and take end-to-end ownership of everything we ship.
What will your job look like?
Design, develop, and maintain the Python framework that enables algorithm developers across our company to train, validate, quantize, and deploy deep learning models - locally, on-prem, and across cloud providers - through a single unified interface
Build high-performance data streaming libraries that feed large-scale distributed training pipelines in Rust with Python interfaces
Set the standard for reliable, reproducible research at scale - experiment tracking, configuration management, checkpoint handling, and multi-node training
Work directly alongside algorithm researchers to understand friction, propose solutions, and ship them - without layers of process in between
Contribute to open source when the right fix/feature belongs upstream.

Requirements:
A value-first mindset focused on shipping early and often
2+ years of hands-on experience as a software engineer in the industry or in a similar relevant role
B.Sc. in Computer Science, Software Engineering, or equivalent hands-on experience
Strong software engineer skills in Python - tested, production-grade code that other engineers can build on
Familiarity with deep learning frameworks (ideally Pytorch) and distributed training workflows
Experience with containerization and CI/CD pipelines
Contributions to open source projects
Familiarity with Linux internals - networking, file systems, process management
Experience in Rust/C/Cuda
Experience with cloud infrastructure (AWS or similar) and distributed storage
Exposure to infrastructure-as-code or Kubernetes-based deployments.

This position is open to all candidates.

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8699142

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לפני 11 שעות

Senior ML Data Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed at our company.
We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms.
Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale.
We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

Requirements:
4+ years in data engineering or backend/software engineering with serious data work - pipelines that run in production, not just notebooks.
Strong Python and the PyData stack (NumPy, PyArrow, Pandas, DuckDB).
Some background in research, algorithms, or ML - enough that you can read a paper, understand a model's outputs, and have informed conversations with algorithm engineers.
Comfort working with vision-model outputs as data: embeddings, detection results, VLM responses.
Ability to work across team boundaries - this role lives between algorithm teams, infra teams, and our own.
Experience with autonomous-driving datasets or perception pipelines.
3D geometry and camera model intuition (or the mathematical background to ramp up).
Workflow orchestration (Argo, Airflow, Kubeflow).
Vector databases or columnar analytics (LanceDB, DuckDB, Parquet at scale).
Familiarity with curation concepts (active learning, hard-example mining, distribution balancing) - useful context, not a requirement.
Exposure to LLM agents or agentic workflows for data tasks.

This position is open to all candidates.

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8699030

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לפני 10 שעות

ML Software Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

we are seeking a strong ML Software Engineer to join our deep learning LiDAR & Radar group and help scale the systems that bring cutting‑edge perception models into production. Youll build the software layers, data pipelines, and runtime systems that turn advanced neural networks into reliable, high-performance solutions running on edge devices.
This is a hands-on, high‑ownership role within a growing group working closely with algorithm developers. The work spans Python and C++, ML infrastructure, model integration, performance optimization, and production delivery.
** The role includes working on-site at our Jerusalem office several days per week.
What will your job look like:
Lead end-to-end development of features - from design and implementation to integration, testing, and deployment
Build ML pipelines for data-based diverse dataset creation and efficient model inference
Design data selection and sampling strategies to ensure coverage of rare and critical scenarios
Partner with algorithm teams to translate model weaknesses into data curation criteria
Develop validation and diagnostics to measure dataset quality-not just pipeline health but training effectiveness
Integrate neural network models into C++ production systems, including runtime, data flow, and pre/post‑processing
Bring models from research/prototype stage into robust, production‑ready deployments
Optimize runtime performance (latency, memory, and throughput) in resource‑constrained environments
Contribute to deployment flows (e.g., model conversion, profiling, optimization)
Build and improve CI/CD pipelines, automated testing, and development workflows.

Requirements:
B.Sc. in Computer Science, Software Engineering, or equivalent
3+ years of hands-on C++ development experience
3+ years of hands-on Python development experience, including the PyData stack (NumPy, Pandas)
Experience working in Linux environments
Strong motivation to work closely with deep learning algorithms and production of AI systems
Interest in neural network deployment on edge devices, including inference runtimes, performance optimization, and model integration
Proven ability to work across team boundaries (algorithms, infra, product)
Strong motivation to work on production AI systems and deep learning integration
Interest in edge deployment, inference runtimes, and performance optimization
Advantages:
Experience with autonomous-driving datasets or perception pipelines
Background in 3D geometry and/or strong mathematical foundation
Experience with workflow orchestration tools (Airflow, Argo)
Familiarity with data curation techniques (e.g., active learning, hard example mining, distribution balancing)
2+ years in data engineering or backend systems with large‑scale data (production environments).

This position is open to all candidates.

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8699125

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7 ימים

AI Infrastructure Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

Required AI Infrastructure Engineer
Description
We are building its internal AI infrastructure layer from the ground up. We have real agents running in production, a growing base of employees using AI in their daily work, and a clear architectural direction. What we don't have yet is a dedicated engineer to own it.
You'll be the first. Your job is to close the gap between "working prototype" and "production platform" - owning the foundation that hosts our agents, the pipelines that ship them, and the reliability layer (observability, cost controls, audit trails, evals) that makes it safe to run AI at scale in a trust & safety company.
This is an infrastructure-first role with deep AI fluency - not a prompt engineer, not a wrapper-framework operator, not a no-code builder. You should be equally comfortable writing a Terraform module, debugging a Kubernetes pod, and tracing an agent's tool-call chain.
We dont operate with a predefined backlog here; you will be responsible for identifying high-impact needs and bringing them to life. The perfect fit for this role has a track record of deploying agentic systems that have held up under real-world usage, balances a focus on infrastructure with a deep concern for user experience, and recognizes that the primary hurdle in AI integration is rarely the model itself.
Responsibilities:
Platform & Infrastructure:
Architect, build, and run the AWS/Kubernetes platform that hosts our internal AI agents and tools; drive AWS Well-Architected pillars (operational excellence, security, reliability, performance, cost, sustainability).
Own Infrastructure-as-Code: Terraform modules, standards, and reviews for Bedrock, agent runtimes, vector DBs, and supporting services.
AI Systems:
Design and ship production-grade agents and multi-agent pipelines using the Anthropic Agent SDK, Claude Code, AWS Bedrock, and MCP - not wrapper frameworks.
Own the full agent lifecycle: scoping → prototyping → eval → deploy → monitor → iterate.
Integrate agentic workflows into internal and product systems via APIs, databases, webhooks, Slack, and email.
Reliability, Observability, Cost:
Build first-class observability across apps and infra: OpenTelemetry, Prometheus, plus LLM-specific tracing (Langfuse or equivalent), token/cost metrics, and eval pipelines.
Define SLOs/SLIs and error budgets for AI services - latency, model fallback chains, eval regression gates, agent success rates. Lead incident readiness, response, and post-mortems.
Drive FinOps: model routing by cost, cache hit rates, batch vs. realtime tradeoffs, budget alarms, per-team chargeback visibility.
Implement guardrails: prompt-injection defenses, PII redaction, model allowlists, human-in-the-loop checkpoints, audit trails.
Org Impact:
Identify high-leverage workflows across the organization and translate them into scalable agentic automations.
Partner with R&D, Delivery, security, and external vendors to deliver platform capabilities.

דרישות:
Requirements (must-have)
3-5 years in software engineering, shipping and operating production-grade systems.
2+ years hands-on AWS, Kubernetes, and Terraform in production - not familiarity, ownership.
1-2 years hands-on building and deploying LLM-powered or agentic systems in production.
Proficiency in Python: async patterns, REST APIs, cloud-native architecture.
Production experience with native agentic SDKs (Anthropic Agent SDK, Claude Code) and MCP - tool-calling patterns, server configuration, memory systems, vector DBs.
Hands-on AWS Bedrock for model access, IAM-based auth, and enterprise deployment patterns.
Production CI/CD ownership (GitHub Actions, Argo CD, or equivalent) and observability stack experience (OpenTelemetry + Prometheus, plus LLM tracing).
Proven ownership: design → implement → release → operate → improve, independently and within a team.
Strong debugging instincts across multi-step agent chains and distributed המשרה מיועדת לנשים ולגברים כאחד.

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8688629

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03/06/2026

AI Automation & Agent Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time and Hybrid work

As we scale our portfolio of live automations, were looking for an experienced AI Automation & Agent Engineer to take on a broad and high-impact role. Youll lead new automation projects from ideation to production, own the reliability of existing systems, and serve as the go-to expert helping our employees get the most out of AI tools - especially Claude Code. This is a hands-on, cross-functional position at the center of how we adopt and scale AI internally.
Responsibilities
Lead Automation Projects:
Partner with department leads across sales, support, finance, and HR to identify high-impact AI and automation opportunities.
Design and build LLM-based workflows, integrating APIs, MCP servers, and internal tools.
Develop agent-like automations and internal copilots that augment decision-making and execution.
Own the full lifecycle - from ideation and process design through development, testing, and production launch.
Present project plans, progress updates, and outcomes with measurable impact to stakeholders at all levels.
Build AI Systems & Integrations:
Build robust, maintainable workflows using N8N, Claude Code, and other orchestration tools.
Integrate across systems using REST APIs, webhooks, and external/internal tools.
Design reusable patterns for skills, agents, and workflows that can scale across teams.
Continuously evaluate and adopt new AI tooling, MCP capabilities, and agent frameworks.
Maintain & Improve Live Systems:
Monitor, triage, and resolve issues across all live AI automations, copilots, and agents.
Identify recurring failure patterns and implement systemic improvements to reliability, performance, and cost.
Ship incremental improvements and new capabilities quickly and safely.
Maintain clear documentation for workflows, agents, and system behavior.
Drive AI Adoption, Skills & Governance Across:
Act as the internal expert and first point of contact for employees using Claude Code and AI tools.
Help teams build and scale AI skills - from basic usage to advanced workflows and agent design.
Manage and optimize AI usage and performance across the organization (tokens, costs, reliability, adoption).
Build and evolve an internal AI control tower - providing visibility into usage, performance, governance, and impact.
Run onboarding sessions, workshops, and create practical guides that empower teams to work independently with AI.
Guide teams through MCP integrations, tool configurations, and best practices.
Stay current on Claude Code updates, new MCP capabilities, and emerging AI tooling - and proactively share relevant developments with the team.

Requirements:
Must-haves:
3+ years of experience in a technical role in software development, data analyst or AI/ML operations.
Proven ability to lead projects end-to-end, from requirements to production.
Hands-on experience building LLM-based workflows, automations, or agents.
Strong experience with workflow tools (N8N, Zapier, Make, Temporal, or similar).
Solid coding skills in Python and/or JavaScript.
Experience integrating systems using APIs, webhooks, and structured data (JSON).
Strong communication skills - able to work closely with non-technical teams and translate needs into solutions.
Nice-to-haves:
Experience building internal copilots or AI-powered tools.
Familiarity with multi-agent systems, MCP ecosystem, or orchestration frameworks.
Experience defining best practices, patterns, or frameworks for AI usage.
Background working across business domains (sales, finance, support, HR)
Experience enabling AI tool adoption - training, documentation, or internal consulting for business teams.

This position is open to all candidates.

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8678758

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01/06/2026

software engineer, Interceptor Systems

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

Hands-on software engineering for our cutting-edge missile interceptor system. You'll develop and integrate components across the software stack, either on the Embedded / flight side (RTOS, low-latency sensor and comm code on the interceptor) or on the ground station / Command & Control side (distributed services for mission monitoring, threat evaluation, and visualization). You'll work under the Software Group Lead's architectural direction, with deep ownership of the modules you ship. We are looking for a "builder" mentality, someone who drives end-to-end delivery from concept to field deployment, and who treats AI coding tools as a force multiplier rather than a curiosity.
Why Join us?:
This is a unique opportunity to be at the heart of a defense-tech startup during its most exciting growth phase!
Responsibilities:
Build: Develop flight software, sensor fusion algorithms, and secure communication protocols between the interceptor and C2; or build distributed microservices for the ground station, depending on which area fits your background. Integrate: Work alongside Hardware Engineering (mechanical, electrical, GNC), Systems Engineering, and Program Management to integrate the software with the rest of the missile and ground station. TEST : Participate in HIL/SIL testing phases, support field trials, and write the automation that keeps these tests fast and reliable. AI-assisted delivery: Use modern AI coding tools (GitHub Copilot, Cursor, Claude Code, etc.) heavily across your daily work to ship faster without compromising safety-critical standards. Collaborate: Contribute to design reviews and architectural decisions; raise issues and propose alternatives rather than waiting for direction.

Requirements:
Experience: 3-5+ years in software engineering, ideally with exposure to aerospace, defense, robotics, or another safety-critical domain. Strong in C / C ++ for hard Real-Time environments, OR strong in distributed/back-end stacks (Go, Rust, Python, Node) for the ground-station side. One or more of these depending on your specialization:
* RTOS experience (FreeRTOS, VxWorks, Embedded Linux, etc.)
* Communication bus protocols: CAN bus, MIL- STD -1553, SPI, Ethernet
* Distributed systems on containerized environments (Kubernetes, Docker)
* Low-latency data visualization and geospatial situational awareness Education: B.Sc. in Computer Science, Aerospace Engineering, or Electrical Engineering. Project history: Direct experience contributing to UAVs, missiles, autonomous kinetic systems, or similar safety-critical hardware/software systems.
* Eligible for security clearance. Preferred Qualifications AI tooling fluency: Proven track record of using AI agentic tools to ship faster, refactoring legacy systems, documenting complex architectures, generating tests. DevOps for Embedded Experience building CI/CD pipelines for Embedded systems, including automated Hardware-in-the-Loop (HIL) testing. Sensor fusion (Radar, EO/IR, IMU) and target tracking experience.
* Knowledge of cybersecurity frameworks for defense-grade software (e.g., MISRA C / C ++).
* Experience with secure, jam-resistant RF data links and network protocols.
* M.Sc. in a relevant field.

This position is open to all candidates.

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8675481

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לפני 9 שעות

Expert Deep Learning Research Engineer - Road Detection

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

The Road Algorithm team is responsible for one of the most critical and challenging tasks in autonomous driving - detecting and understanding the drivable road. Our work leverages Deep Neural Networks and geometric modeling to deliver reliable and high-quality road perception for autonomous vehicles.
We are looking for an Expert Deep Learning Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities.
What will your job look like:
Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
Lead exploratory investigations into new architectures, training strategies, and data utilization methods
Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
Own projects end-to-end - from concept and experimentation to integration and scalable deployment.

Requirements:
B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field
5+ years of hands-on experience in Machine Learning / Deep Learning research and development
Strong experience with Transformer-based architectures (e.g., Vision Transformers or similar)
Strong proficiency with PyTorch or TensorFlow and practical experience building and optimizing deep neural networks
Experience working with cloud environments (e.g., AWS) - including data handling, distributed training, or running large-scale batch jobs
Proven ability to work both independently and collaboratively, supporting others and leading technical investigations
Excellent analytical skills, creativity, and a drive to push the limits of applied research.

This position is open to all candidates.

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8699139

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25/05/2026

Lead Python Engineer - AI Technology

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions.
This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development.
The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles.
They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

Requirements:
Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution.
7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark.
Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines.
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
Expertise in version control systems (Git), CI/CD practices, and agile methodologies.
Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Experience in the finance industry is a plus but not required.
Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

This position is open to all candidates.

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3 ימים

Senior Full-Stack Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

Join our strong AI group as a Senior Full Stack Engineer to lead development on Sticklight, our high-momentum B2C vibe-coding platform that has already gained significant traction. This is a pivotal role where you will collaborate with top professionals to build a product designed for massive scale and worldwide reach.
You will be responsible for crafting scalable, AI-driven systems and intuitive interfaces across the full stack - from robust backend microservices to modern React-based frontends. Your passion for platform engineering, dedication to developer experience, and focus on business objectives will directly drive transformative impact for the product.
Responsibilities:
Platform & Scale: Bbe a key contributor to the design, planning, and development of Sticklight's high-quality, high-scale features and core platform foundations.
Full Stack Development: Craft and maintain robust backend microservices and modern, intuitive React-based frontend applications for a smooth user experience.
Reliability & Monitoring: Champion monitoring, observability, and high availability of the system to support rapid growth in a production environment.
Innovation & AI: Research, introduce, and incorporate new technologies, best practices, and emerging AI tools/models to continuously elevate the stack and advance AI-driven workflows.
Cross-Functional Collaboration: Partner closely with Product, Design, and Engineering peers to deliver on strategic business objectives.

Requirements:
5+ years of professional software development, including substantial full-stack experience shipping production systems.
Experience building LLM applications in production
Vast knowledge of design patterns, clean code practices, system design, security, and architecture skills
Experience building and maintaining a microservices architecture-based product
Experience in maintaining and monitoring services in production, as well as familiarity with observability and traceability tools like Grafana, Prometheus, Open Telemetry, etc.
Experience building with AI-native tools and agentic workflows (ie. prompt engineering, tool use, plugins, automation frameworks)
Backend: good understanding of NestJS and real-world experience building modules, DI, validation and testing
Frontend: strong React knowledge with modern data loading (TanStack Query or equivalent), component composition, and CSS at scale (Tailwind or utility-first workflows); experience with Vite or similar bundlers.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8692853

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מייל

תיאור

שליחה

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31/05/2026

Senior Devops Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

we are seeking a seasoned Senior CI/CD DevOps Engineer to join our CloudOps team. In this pivotal role, you will be the architect of our delivery ecosystems, designing and scaling high-performance CI/CD engines and Kubernetes-based infrastructure across multi-cloud environments.
You will bridge the gap between code and production, leveraging GitOps principles and advanced automation to accelerate our SaaS and On-Prem release cycles. If you thrive on building "Infrastructure as Code," mastering complex Jenkins pipelines, and securing cloud-native systems at scale, this is your next challenge.
Key Responsibilities:
Architect CI/CD Ecosystems: Design, implement, and maintain enterprise-grade CI/CD pipelines using Jenkins and Shared Libraries (Groovy) to standardize delivery across R&D.
Infrastructure as Code (IaC): Drive the automation of global cloud footprints (AWS) using Terraform, ensuring modularity, reusability, and state management.
Kubernetes Orchestration: Manage and optimize large-scale EKS clusters, focusing on high availability, auto-scaling, and cost-optimization.
GitOps Advocacy: Implement and champion GitOps workflows to ensure the "source of truth" always resides in Git, automating deployments and drift detection.
Advanced Scripting: Develop sophisticated tooling and automation logic using Python and Bash to eliminate manual toil.
Hybrid Cloud Delivery: Support complex release automation for both high-velocity SaaS environments and secure On-Prem deployments.
System Reliability: Troubleshoot complex production bottlenecks, optimize container performance, and mentor junior engineers on best practices.

Requirements:
Experience: 5+ years of experience in DevOps/SRE roles, with at least 3 years focused on high-scale CI/CD architecture.
Jenkins & Groovy Mastery: Expert-level knowledge of Jenkins, including Pipeline-as-Code and writing custom Groovy Shared Libraries.
AWS Expertise: Extensive, hands-on experience with AWS core services (EC2, S3, IAM, VPC) and deep proficiency with EKS.
Kubernetes Specialist: Comprehensive knowledge of K8s internals, including Helm charts, ingress controllers, CNI, and service meshes.
Terraform Pro: Proven track record of managing production environments solely through Terraform.
Developer Mindset: Strong proficiency in Python for automation and tool development, complemented by expert-level Bash scripting.
Git Professional: Deep understanding of Git internals, complex branching strategies (GitFlow, Trunk-based), and Hook management.
Modern Delivery: Practical experience implementing GitOps (e.g., ArgoCD or Flux) and container security best practices.
Nice to Have:
Experience with Go (Golang) for custom Kubernetes operators.
Familiarity with multi-cloud deployments (GCP/Azure) and OpenShift.
Background in security-focused DevOps (DevSecOps).

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8672893

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אירעה שגיאה בשליחת פרטיך למשרה

17/05/2026

Senior AI Researcher - Applied Models

חברה חסויה

Location: Ramat Gan

Job Type: Full Time and Hybrid work

We are looking for a Senior AI Researcher to work closely with our delivery team, translating real-world clinical and scientific questions into rigorous AI and machine learning solutions. In this role, you will lead the development of methodologies, models, and benchmarking frameworks that address complex clinical problems using our unique immune-cell data. Your work will directly impact how our partners understand biology, evaluate hypotheses, and make decisions.

Location: Ramat Gan (hybrid model).

What will you do?
Partner with the collaborations team and scientists to frame complex clinical and biological questions as well-defined data science and modeling problems.
Design, implement, and evaluate the right analytical and modeling approaches for each problem, including robust benchmarking and validation strategies.
Clearly communicate results, limitations, and tradeoffs to internal teams and external partners, enabling confident, data-driven decisions.
Establish best practices for rigor, reproducibility, evaluation, and documentation across delivery-focused data science work.
Work hand-in-hand with immunologists, computational biologists, AI scientists, and engineers to ensure solutions are scientifically sound and production-aware.
Translate modeling solutions into engineered and iterable products used by the internal collaborations team.

Requirements:
Required qualifications:
MSc or PhD in Computer Science, Statistics, Mathematics, Machine Learning/Data Science, Physics, Computational Biology, or a related field
At least 4 years of industry experience.
Strong foundation in machine learning - neural networks/classical machine learning.
Hands-on experience with Python-based data science and ML tooling.
Proven experience working with large, complex datasets (biological data preferred).
Experience with MLOps/DataOps practices for robust and reproducible ML training and evaluation pipelines, including experience with benchmarking tools and pipeline optimization.
Experience in statistics, probability, mathematical modeling and experimental design - preferred.
Experience using transformer-based models for applied solutions - preferred.
Experience in biotech, life sciences, or healthcare - preferred.

Desired personal traits:
You want to make an impact on humankind.
You prioritize We over I.
You enjoy getting things done and striving for excellence.
You collaborate effectively with people of diverse backgrounds and cultures.
You have a growth mindset.
You are candid, authentic, and transparent.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8653666

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