דרושים » מדעי החיים, טבע וחקלאות » JavaScript Algorithm Engineer

We are offering you to take a vital role in our research team that is responsible for constantly driving forward our ability to detect accessibility issues, enhancing the intelligence of our platform to provide customers with insights and usability enhancements that allow them to work more efficiently, and building innovative new products

To achieve those ends the team employs classic algorithms, data analysis, machine learning and generative AI.

You will be joining a team of highly professional and innovative engineers and scientists that are driven by passion for the domain and the mission of the company. We value scientific and engineering excellence, are committed to creating high impact products that reach our customers and work in collaboration with each other in an egoless environment.

Your Impact:
Research, design and implement new detection algorithms for web accessibility issues and improve existing ones.
Ensure all research is well documented and reproducible.
Build and enhance tools that enable data collection, labeling and analysis at scale for research purposes.
Integrate new models and algorithms into existing products.
Build interfaces for projects in the POC phase to enable demonstration and the collection of feedback from internal users and select design partners.

Were based in Tel Aviv, 5 minutes from Hashalom train station, and Yehudit light train station, and we have our own parking lot. We work in a hybrid mode, with flexible working hours.

We are looking for a Senior Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

We are looking for a Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

We are looking for a Data Scientist- Autonomous.
The Research and Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more).
As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

We are looking for a AI Product Manager.
As an AI Product Manager, you will lead the development of our AI-powered credit & equity investment platform. You will coordinate between R&D and business needs, show leadership in dynamic environments making sure innovation meets execution. With an analytical mind and people-oriented approach, you will practice technical expertise and business acumen. If you are passionate about data, AI, finance and you are ready to revolutionize capital markets, we want you on board.
Responsibilities:
Own the product lifecycle end-to-end, from ideation to execution and beyond.
Define the vision and roadmap for your products, aligning with organizational goals.
Partner with R&D, Data Science and Business to ensure seamless, high-quality, and timely product releases.
Write detailed requirements and specifications, ensuring alignment with business needs while driving agile development cycles.
Gather and analyze user feedback, stakeholder input, and market trends to inform product features and enhancements.

Required Data Flow Compiler Engineer
Description
A leading high-tech company, developing top-performing AI processors for edge devices in various industries. We combine an extensive understanding of the way neural networks operate, with our teams expertise in SW and HW architecture, to develop products that transform the way we use machines to perceive and analyze the world around us.
Our company is led by a group of experts from a wide range of disciplines, combining experience from elite intelligence units as well as leading tech companies in Israel and abroad, with a track record of executing complex projects from the ground up. As an AI chip company, we believe that AI can help us create a better, safer, more productive, and more convenient world. For this to happen, AI needs to be available at scale and on the edge.
To this end, our team of hardware and software leaders is developing top-performing AI processors, dedicated to AI tasks on edge devices in a wide variety of applications and industries including smart cities, automotive, manufacturing, agriculture, retail, and many more. With hundreds of customer programs around the world, and a wide ecosystem of software and hardware partners, we are leading the edge AI revolution.
In this position
As a team member of the team, you will work on several challenging fronts, implementing different algorithms for resource allocation, mapping, HW-specific features, and optimizations in C++. Help build and develop our dataflow compiler, an innovative unique toolchain that takes real-world AI models and compiles them to our breakthrough processors.
The role involves a deep understanding of our architecture and has an extensive direct impact on our products.
Responsibilities
Design and develop a multidisciplinary system for machine learning.
Work in different SW environments: C++, Python, AI frameworks.

The Director of AI is responsible for leading all aspects of Deep Learning, Machine Learning, and Signal Processing research for our products. The AI team supports all of our market segments, including power lines, border security, oil and gas pipelines, and more. This leadership role drives the development and implementation of complex algorithms across our product portfolio and plays a key role in enhancing our companys ability to interpret seismic and acoustic signals captured by our unique fiber sensing technology.

Were seeking a visionary leader who is an expert in deep learning and passionate about pushing the boundaries of our technology. The ideal candidate will bring infectious enthusiasm to the team, inspire innovation, and pursue excellence. They must be able to articulate complex concepts clearly, make decisive choices, and focus on key product capabilities with a forward-thinking strategy.

Responsibilities:
Lead and inspire three high-performing algorithm teams by setting clear goals, creating effective work plans, and conducting regular progress reviews.
Implement necessary organizational adjustments to optimize team dynamics and ensure seamless alignment with company objectives.
Foster a team culture that emphasizes professionalism, accountability, collaboration, and quality.
Lead the development of advanced AI models tailored to our market segments. Take full ownership of designing, training, and deploying AI components for cloud data pipelines and edge computing services.
Establish a robust framework for continuous updates and field integration, driving consistent improvements in KPIs and model generalization.
Clearly articulate the capabilities and value proposition of our AI models to stakeholders, including technical customers and executives. Provide insightful analysis of risks and opportunities to support critical company decisions regarding market strategy and product development.
Foster close relationships with our data engineering, edge computing, optical systems, project management, and product teams. Lead the effort in building a scalable, future-proof infrastructure that supports efficient development, ensures operational continuity, and facilitates the rapid scaling of AI initiatives.

Fullpath is a growing tech company in the automotive space with hubs across the US and Israel. Our mission is to constantly disrupt the industry by creating groundbreaking technologies to help dealers build stronger, more resilient businesses. Our work happens in the fast lane as we bring AI-powered, data-driven solutions to a quickly evolving industry. Our team at Fullpath consists of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal-driven, and at our core, we believe every voice has value and can impact our bottom line. If you are a creative, solutions-oriented individual who is ready to put your career in drive, Fullpath is the place for you! We are looking for a Corporate Finance Specialist to join our finance team and make a real impact! You will be a key member of our Finance department, contributing significantly to core corporate financial operations functions, including legal, compliance, investor relations, fundraising, and vendor management. This role offers an exceptional opportunity for an early-career finance professional to gain broad and deep exposure to the corporate financial underpinnings of a rapidly growing startup, directly impacting strategic decision-making and financial health. The role reports directly to the CFO and can be based out of Jerusalem or Tel-Aviv.

What you will be responsible for:
Financial Operations - Legal and Regulatory
* Understand all financial and operational aspects of the company to be able to make informed decisions and build efficient processes.
* Responsible for wearing the company’s corporate, financial and business hats for all contract review and management (financial terms, risk assessment, insurance, and revenue/cost implications).
* Build relationships and collaborate with internal stakeholders on operational processes and product deployment that have corporate, commercial and financial implications.
* Act as a key point of contact for strategic enterprise vendors, assessing and managing financial impact and performance, operational implications, tracking spend, and identifying cost optimization opportunities, and managing partnership escalations through to resolution.
* Manage the financial and operational aspects of vendor agreements, ensuring adherence to budget, financial controls and product / performance considerations.
* Develop a strong understanding of relevant industry compliance and regulatory environments, analyzing their business impact on the company, the company’s product and the company’s customers. Communicate insights internally and externally to build the company’s position as a trusted industry partner.
* Oversee the financial and legal aspects of the company's intellectual property (IP) portfolio, including valuation support and cost tracking. Investor Relations & Board Affairs
* Support investor relations activities by preparing financial data, performance metrics, and analysis for investor presentations and reports.
* Maintain organized records of stakeholder communications, particularly those related to financial performance and projections.
* Assist with shareholder inquiries related to financial matters and information requests.
* Provide financial analysis and support for fundraising activities, including due diligence processes, financial modeling, and investor presentations.

The top candidate will also have:
Additional qualification in Law (J.D. or equivalent) with knowledge of business and finance.

Why you should join us:

* Family-friendly environment and flexible working hours.
* An awesome global team of forward-thinking, innovative go-getters.
* Learning and growth opportunities within a fast-paced tech startup environment.
* Clear career advancement path for strong performers- As a part of our team, your success in this role is crucial to our company's growth. We are committed to suppo

Fullpath is a growing tech company in the automotive space with hubs across the US and Israel. Our mission is to constantly disrupt the industry by creating groundbreaking technologies to help dealers build stronger, more resilient businesses. Our work happens in the fast lane as we bring AI-powered, data-driven solutions to a quickly evolving industry. Our team at Fullpath consists of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal-driven, and at our core, we believe every voice has value and can impact our bottom line. If you are a creative, solutions-oriented individual who is ready to put your career in drive, Fullpath is the place for you! We are looking for a Corporate Finance Specialist to join our finance team and make a real impact! You will be a key member of our Finance department, contributing significantly to core corporate financial operations functions, including legal, compliance, investor relations, fundraising, and vendor management. This role offers an exceptional opportunity for an early-career finance professional to gain broad and deep exposure to the corporate financial underpinnings of a rapidly growing startup, directly impacting strategic decision-making and financial health. The role reports directly to the CFO and can be based out of Jerusalem or Tel-Aviv.

What you will be responsible for:
Financial Operations - Legal and Regulatory
* Understand all financial and operational aspects of the company to be able to make informed decisions and build efficient processes.
* Responsible for wearing the company’s corporate, financial and business hats for all contract review and management (financial terms, risk assessment, insurance, and revenue/cost implications).
* Build relationships and collaborate with internal stakeholders on operational processes and product deployment that have corporate, commercial and financial implications.
* Act as a key point of contact for strategic enterprise vendors, assessing and managing financial impact and performance, operational implications, tracking spend, and identifying cost optimization opportunities, and managing partnership escalations through to resolution.
* Manage the financial and operational aspects of vendor agreements, ensuring adherence to budget, financial controls and product / performance considerations.
* Develop a strong understanding of relevant industry compliance and regulatory environments, analyzing their business impact on the company, the company’s product and the company’s customers. Communicate insights internally and externally to build the company’s position as a trusted industry partner.
* Oversee the financial and legal aspects of the company's intellectual property (IP) portfolio, including valuation support and cost tracking. Investor Relations & Board Affairs
* Support investor relations activities by preparing financial data, performance metrics, and analysis for investor presentations and reports.
* Maintain organized records of stakeholder communications, particularly those related to financial performance and projections.
* Assist with shareholder inquiries related to financial matters and information requests.
* Provide financial analysis and support for fundraising activities, including due diligence processes, financial modeling, and investor presentations.

The top candidate will also have:
Additional qualification in Law (J.D. or equivalent) with knowledge of business and finance.

Why you should join us:

* Family-friendly environment and flexible working hours.
* An awesome global team of forward-thinking, innovative go-getters.
* Learning and growth opportunities within a fast-paced tech startup environment.
* Clear career advancement path for strong performers- As a part of our team, your success in this role is crucial to our company's growth. We are committed to suppo

We are looking for the best minds and spirits to join us in our journey. We know our product is only as great as the individuals building the hardware and software and harnessing data for worthy causes. Being a great team member means being eager to learn and grow, able to challenge and accept being challenged, and working for the team and the product with enthusiasm and passion.

The Senior Data Scientist is a unique position, bringing CTO-grade capabilities to the incubation and initial launch process of our products. As the data scientist you understand the physics underlying the product, devise the mechanism of its operation, work together with R&D to develop it, and then analyze results coming from customer installations. Your data analytics insights feedback into the development cycle, while your quick fixes to the AI models enable rapid response to product gaps discovered.

The Senior Data Scientist at will report to the VP Product.

Responsibilities:
Develop deep expertise in our Photonics technology stack and its applications.
Collaborate with expert colleagues in AI, data analytics, physics, weather services, and satellite imagery.
Gain a deep understanding of the physics behind each product feature, develop the operational methodology, and collaborate with R&D to design, build, and deploy it.
Work closely with R&D to translate product concepts into deployable features.
Analyze data from real-world customer deployments to identify product gaps and refine AI models.
Rapidly implement AI-driven improvements to enhance customer experience and inform future product iterations.