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we are looking for a Senior ML Engineer.
Responsibilities:
As a Senior Machine Learning engineer at Substrata, you will be working directly with our Head of R&D and will take a major role building our Pragmatic Intelligence Engine using and experimenting with S.O.T.A Deep Learning architectures, including: Multi-Layer Perceptron Neural Network, LSTM, mLSTM, CNN, RNN, VDCNN, etc.

We are looking for a Senior Algorithm Developer with experience in NLP and LLMs, who is highly motivated, collaborative, and results-driven individual who can work both independently and as part of a multidisciplinary team. The ideal candidate has a strong can-do attitude, excellent problem-solving skills, and a passion for leveraging AI to solve meaningful challenges in text analysis in the medical domain.

As part of the AI team you will:

Design, develop, implement, and evaluate robust, scalable AI algorithms and agentic workflows tailored to real-world challenges in clinical settings.

Prepare, process, and analyze complex medical data to support algorithm development and validation.

Ensure the reliability, performance, and accuracy of algorithms in production, including troubleshooting, testing, monitoring, and continuous improvement.

Collaborate closely with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions.

Research, develop and integrate cutting-edge text based alogirthms on medical text.

Apply NLP and Large Language Models (LLMs) to extract insights from medical texts and develop intelligent agents for optimized clinical decision support.

Stay up to date with cutting-edge advancements in GenAI, LLMs, and Deep Learning.

Organize and actively participate in seminars, book clubs, and conferences.

Main Technical Stack:

NLP/LLMs: Pydantic, Hugging Face Transformers, spaCy, Amazon Bedrock

Infrastructure: AWS, Docker

Programming Languages: Python

Deep Learning Frameworks: TensorFlow, Keras, Pytorch

We are looking for a Software Engineer to join our core Algorithm team as an dedicated data-core / platform engineer. You will support the algorithm engineers developing detection algorithms to design and build the infrastructure they run on: the object-detection (OD) pipeline, its orchestration and deployment, its data and model catalog, and the benchmark and labeling systems that drive model improvement. This is a high-autonomy role with real, end-to-end ownership of production systems from day one.

The technologies listed in this description are examples of our day-to-day - not a rigid checklist. We care far more about how you think, how you plan, how you debug, and how fast you learn than about which specific tools you have already used. If you love the craft of making things work and want to go deep, you can learn the rest here.

In the AI era, being a strong engineer means more than writing great code. It means operating as an architect who directs AI agents - designing the solution with clarity, then guiding them to execute it at a level and speed that wasn't possible before. We are building a culture where this is the norm, and we're looking for someone who is excited to work and grow in that direction.



What You'll Do

Take on hard, open-ended infrastructure challenges and make them work - designing, building, decoupling, and hardening the systems behind our object-detection pipeline, from data and model management to benchmarking, so everything runs reliably at scale.
Architect and build the backbone of the OD pipeline - orchestration (Airflow on Kubernetes), data plumbing (S3 / PostGIS / SQS), CI/CD, and deployment across multiple environments - designing clean interfaces and data contracts the algorithm team can build on with confidence.
Debug across the whole stack, wherever the problem leads - a stuck DAG, a flaky pipeline stage, a slow query, a GPU/driver mismatch - and turn one-off firefights into lasting fixes and better observability.
Own the data and model lifecycle: versioned datasets and model weights with clear provenance, and the labeling → export → retraining loop that keeps the models improving.
Learn fast and go deep. Pick up new tools and new layers of the stack as the work requires, and raise the team's engineering and operational standards as you go.
Partner closely with algorithm engineers and the data-collection / labeling operations team to turn research prototypes into robust, scalable production systems.
Integrate AI tools into your workflow and grow into operating as an architect who directs AI agents - designing the solution, then guiding them to build it.

We are looking for a Staff Algorithm Engineer to join our core Algorithm team - a high-autonomy group responsible for the algorithm and ML systems at the heart of 4M's mapping engine. This is a role for engineers who think in systems, bring cutting-edge computer vision and algorithmic thinking to ambitious real-world challenges, and own problems end-to-end with an entrepreneurial drive.

In the AI era, being a strong engineer means more than writing great code. It means operating as both an architect and a team lead - designing the solution with clarity, then guiding AI agents to execute it at a level and speed that wasn't possible before. We are building a culture where this is the norm, and we're looking for someone who is excited to work and grow in that direction.

You will work across computer vision and algorithm disciplines - researching solutions, designing experiments, and delivering production-grade implementations - while collaborating closely with data engineering and product teams.





What You'll Do



Research and implement novel computer vision and algorithmic solutions for challenging real-world problems - spanning perception, learning, optimization, and graph-based reasoning.
Own algorithm quality end-to-end: design experiments, evaluate results, and drive iterations until production reliability targets are met.
Work across disciplines - sharing models, methods, and insights with algorithm, data engineering, and product teams.
Monitor production model health proactively; identify degradation early and lead remediation efforts.
Integrate AI tools into your workflow and grow into the role of architect and team lead - designing the solution, then directing agents to build it.
Raise the bar on the team's technical culture through code reviews, knowledge-sharing, and rigorous algorithmic thinking.

we are establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a talented Junior Design Verification Engineer to help build our local engineering powerhouse from the ground up. This is an exciting opportunity to take on meaningful ownership in a new site, developing the verification environments that ensure our next-generation AI silicon performs flawlessly.
As a Junior Design Verification Engineer, you will be a vital contributor to the quality and reliability of our Israel R&D center. You will work on the front lines of functional verification, developing testbenches and environments that validate high-performance digital blocks, subsystems, and full-chip designs. You will tackle complex verification challenges that ensure our connectivity solutions meet the rigorous demands of the world's largest AI clusters. If you thrive on solving technical puzzles and want to play a key role in delivering cutting-edge AI infrastructure connectivity, this is your opportunity.
Key Responsibilities
Verification Environment Development
Contribute to the design and development of ASIC verification environments, focusing on unit-level and subsystem functional blocks
Develop and maintain SystemVerilog/UVM-based components including traffic generators, monitors, and checkers to ensure robust testing
Execute detailed verification plans for challenging digital designs, ensuring all functional requirements are met and verified
Coverage & Quality Assurance
Implement functional coverage models and analyze results to identify gaps in the verification process
Drive designs toward 100% verification closure through comprehensive test development
Contribute to verification methodology improvements and best practices
Debug & Cross-Functional Collaboration
Work closely with design engineers to identify, root-cause, and resolve complex hardware bugs early in the development cycle
Apply analytical skills and debugging techniques to solve intricate verification challenges
Collaborate effectively in a fast-paced, team-oriented R&D environment.

we are establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a talented Senior Design Verification Engineer to help build our local engineering powerhouse from the ground up. This is an exciting opportunity to take on meaningful ownership in a new site, developing the verification environments that ensure our next-generation AI silicon performs flawlessly.
As a Senior Design Verification Engineer, you will be a vital contributor to the quality and reliability of our Israel R&D center. You will work on the front lines of functional verification, developing testbenches and environments that validate high-performance digital blocks, subsystems, and full-chip designs. You will tackle complex verification challenges that ensure our connectivity solutions meet the rigorous demands of the world's largest AI clusters. If you thrive on solving technical puzzles and want to play a key role in delivering cutting-edge AI infrastructure connectivity, this is your opportunity.
Key Responsibilities
Verification Environment Development
Contribute to the design and development of ASIC verification environments, focusing on unit-level and subsystem functional blocks
Develop and maintain SystemVerilog/UVM-based components including traffic generators, monitors, and checkers to ensure robust testing
Execute detailed verification plans for challenging digital designs, ensuring all functional requirements are met and verified
Coverage & Quality Assurance
Implement functional coverage models and analyze results to identify gaps in the verification process
Drive designs toward 100% verification closure through comprehensive test development
Contribute to verification methodology improvements and best practices
Debug & Cross-Functional Collaboration
Work closely with design engineers to identify, root-cause, and resolve complex hardware bugs early in the development cycle
Apply analytical skills and debugging techniques to solve intricate verification challenges
Collaborate effectively in a fast-paced, team-oriented R&D environment.

we are establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a visionary Formal Verification Engineer to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, defining the formal verification strategy for chips that power the world's largest AI clusters.
As the Formal Verification Engineer, you will be a foundational member of our Israel R&D center. You wont just execute tasks; you will define the Formal verification strategy for chips that drive the worlds largest AI clusters. You will dive deep into the technical details, proving the correctness of complex designs and ensuring they flawlessly meet specifications.
Key Responsibilities
Own and develop formal verification environments from scratch through to sign-off
Apply formal verification methodologies and strategies to prove the correctness of intricate designs
Work closely with the Architecture, Design, and DV teams to identify verification needs and pinpoint design requirements
Create robust formal environments, analyze complex RTL designs, and apply advanced formal techniques to find corner-case bugs
Analyze verification results, identify failures, and collaborate directly with designers to resolve issues efficiently
Architect and develop generic, common formal functions and properties to be reused across multiple projects.

We're currently seeking a Data Researcher to join our Data Team and help proactively guide our business growth through the provision of strategic perspective, market insight, and experience with analytical tools and techniques. You will work closely with product managers, medical analysts, and the engineering team and bring your expert analytical ability to provide key insights, recognize key opportunities, and drive strategic initiatives forward.

Responsibilities
Build and maintain data pipelines and dashboards to improve data visibility and reporting in production environments
Implement AI-powered workflows for internal and external uses
Work with product, medical, and engineering teams to turn data into insights and recommendations.
Conduct exploratory analysis to identify opportunities for new features, model their impact, and drive performance improvements.
Analyze product performance, user behavior, and interactions to showcase product value.
Define, measure, and build monitoring tools for key KPIs.
Visualize insights clearly to improve understanding and decision-making.
Support roadmap planning by identifying trends, gaps, and opportunities.

we are establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a talented Staff/ Principal Design Verification Engineer to help build our local engineering powerhouse from the ground up. This is an exciting opportunity to take on meaningful ownership in a new site, developing the verification environments that ensure our next-generation AI silicon performs flawlessly.
As a Staff/ Principal Design Verification Engineer, you will be a vital contributor to the quality and reliability of our Israel R&D center. You will work on the front lines of functional verification, developing testbenches and environments that validate high-performance digital blocks, subsystems, and full-chip designs. You will tackle complex verification challenges that ensure our connectivity solutions meet the rigorous demands of the world's largest AI clusters. If you thrive on solving technical puzzles and want to play a key role in delivering cutting-edge AI infrastructure connectivity, this is your opportunity.
Key Responsibilities
Verification Environment Development
Contribute to the design and development of ASIC verification environments, focusing on unit-level and subsystem functional blocks
Develop and maintain SystemVerilog/UVM-based components including traffic generators, monitors, and checkers to ensure robust testing
Execute detailed verification plans for challenging digital designs, ensuring all functional requirements are met and verified
Coverage & Quality Assurance
Implement functional coverage models and analyze results to identify gaps in the verification process
Drive designs toward 100% verification closure through comprehensive test development
Contribute to verification methodology improvements and best practices
Debug & Cross-Functional Collaboration
Work closely with design engineers to identify, root-cause, and resolve complex hardware bugs early in the development cycle
Apply analytical skills and debugging techniques to solve intricate verification challenges
Collaborate effectively in a fast-paced, team-oriented R&D environment.

we are looking for an experienced, independent team player who has great data & computer science skills, a passion for data, and excellent analytical and algorithmic skills.
This role is diverse, encompassing AI/ML, data analysis, and backend engineering.
You will play a crucial role within a mission-critical team responsible for managing the heart and brain of primary products. This involves working on core systems, such as POS underwriting models, models for merchant operations, Fraud investigator AI agents and more.
You will participate in cutting-edge risk management systems that safeguard the loan product's financial operation, as well as operational systems, with a direct impact on its financial success.
Our AI/ML team is part of the R&D group, so you will work closely with engineers and product managers as well.
Key Responsibilities
Research and develop statistical behaviors, study domain-specific data.
Develop state-of-the-art machine learning models end to end, including development, deployment, and continuous improvement. Both in-weight learning and in-context learning, for risk / fraud / operations related projects. This includes integrating models into production services and ensuring compliance with regulatory processes (e.g. providing evidence for production model audits).
Operate backend infrastructure for training and deploying ML models, ensuring optimal performance and reliability.
Develop and maintain Python code for translating ML model outputs into financial decisions.
Analyze 15+ different data sources in order to train models and agents to catch fraudulent patterns.
Conduct analytical research on our models impact on the portfolio.
Strategize and implement changes to enhance portfolio performance.

As a Research Engineer at our company, you will design, develop, and implement algorithms and models that will enhance the products capabilities, performance, reliability, and scalability. Together with our algo and engineering team members, you will work closely with our product team members to implement algorithms that can be used to drive our business forward as well as the frontier of software development AI technologies.
our company is the right place for you if you are:
(i) A team player Research Engineer
(ii) With (at least) 3 years of experience in algorithm development
(iii) With a recent focus on Large Language Models (LLMs) fine-tuning and prompting
(iv) Comfortable with end-to-end software development and working with a large range of tools
(v) Loves building cutting-edge yet pragmatic solutions
Responsibilities:
Design, develop, implement and test algorithms and AI-empowered solutions for various product features and applications
Collaborate with cross-functional teams to understand business needs and translate them into algorithmic solutions
Perform research on emerging trends, algorithms, and cutting-edge technologies, and identify ways to incorporate them into our products pragmatically
Propose new and innovative solutions to complex problems and lead the development of algorithms in those areas
Design, cleanse, and utilize benchmarks throughout the process of the algorithm development.

As a chip design Engineer in our Networking business unit, you'll join a group of passionate engineers to design and implement the next generation state of the art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What you'll be doing:

Work in a combined design and verification team which develops some of the switch silicon core units

Build reference models, verify and simulate chip blocks/entities according to specifications under challenging constraints with high orientation to power, area, and performance.

Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, and FW.

We are looking for a Senior verification engineer to join our FullChip Switch Silicon team. As a FullChip verification engineer in our Networking business unit, you'll join a group of passionate and talented engineers to design and implement the next generation state-of-the-art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What you'll be doing:

Work in a Full Chip verification team that is responsible to integrate and verify our Switch products at system level.

Work closely with multiple teams within organizations such as Architecture, u-arch, Firmware and all units inside the switch.

Responsible to drive the FullChip verification execution, including staging plan of the projects and deliveries.

We are now looking for a Senior Chip Design Verification Engineer to join our Switch Silicon team. As a Chip Design Engineer in our Networking business unit, you'll join a group of passionate engineers to design and implement the next generation state-of-the-art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What You'll Be Doing:
Work in a design/verification team which develops core units within the Switch silicon.
Micro-architecture of dynamic verification environments planning for units and modules.
Design dynamic verification environments of units/blocks according to Arch. specifications under challenging constraints with high orientation to power, area, and performance.
Work closely with multiple teams within organizations such as Architecture, u-arch, Full chip Micro-Architecture, BE, and FW.

As a chip design Engineer in our Networking business unit, you'll join a group of passionate engineers to design and implement the next generation state of the art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What you'll be doing:

Work in a combined design and verification team which develops some of the switch silicon core units specializing in quality of service.

Build reference models, verify and simulate chip blocks/entities according to specifications under challenging constraints with high orientation to power, area, and performance.

Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, and FW.