לוח משרות דרושים NLP/Machine Learning

We are looking for data scientists that are passionate about applied and theoretical research in the realm of computational linguistics. As a data scientist, you will join us on our quest to develop novel approaches for generalized AI that can understand and generate natural language. As such, you will study linguistics and mathematical phenomena in order to create new state-of-the-art NLP models that can be applied on, and generalize across multiple domains and use cases.

If you're excited about researching unsolved machine learning problems and have a weakness in building a full-scale infrastructure to do so, we encourage you to apply for this role as an ML Researcher at Autobrains.
RESPONSIBILITIES:
Design algorithms from first-order principles to resolve edge cases of neural nets, given a binary representation of these edge cases.
Apply tools from deep-learning, machine learning, classical algorithms, data structures, etc.
Implement your algorithm elegantly in Python, and supply performance indicators to validate the performance of your design.

We are looking for a Senior Data Scientist.
As a Sr. Data Scientist, you will be spearheading the analysis of tens of thousands of patient-therapist conversations, working closely with our leadership, product, and clinical experts team, to derive insights that directly improve therapy sessions for thousands of people.
This is a unique opportunity to join a startup with real impact on the wellbeing and mental health of thousands, applying cutting edge technology for solving a meaningful human problem with huge financial and psychological implications.
How will you contribute?
Lead data science projects that directly influence the work of thousands of psychologists, psychiatrists, and other caregivers.
Develop end-to-end AI solutions from the research phase through to production.
Identify and leverage cutting-edge technologies to facilitate their integration into our products.
Mentor and provide technical guidance to other team members.
Play a critical role in designing the companys products.

We are The Data Science team, focused on Risk Management, our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various machine learning models to provide on-demand analysis. You will Manage a team that will design, develop, and implement predictive models, machine learning algorithms, and statistical techniques to assess fair lending risks and detect potential instances of discrimination Analyze large datasets and identify patterns, trends, and potential areas of concern related to Fair Lending practices Utilize advanced statistical methods to evaluate model performance, including model calibration, validation, and interpretation of results Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions for Fair Lending compliance Develop and maintain of scalable data pipelines, data models, and analytical tools to support fair lending analysis and reporting activities Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices This position reports to the Fair Lending Data Science Manager
You have
* 5+ years of experience in data analysis, statistical modeling, and predictive analytics within the financial services industry, preferably in Fair Lending or credit decisioning - Must
* Bachelor's degree in Statistics, Mathematics, Data Science, Economics, or a quantitative field. - Must ( Advance degree an advantage) Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
* Strong knowledge of advanced analytics and machine learning techniques such as regression and classification algorithms including linear and logistic regression, k-nearest neighbors, support vector machines (SVMs) and other techniques
* Experience working with cloud-based data platforms and technologies such as AWS and Sagemaker for scalable data analytics and machine learning
* Strong technical proficiency in data science tools and programming languages such as Python, R, SQL , with experience in developing predictive models and machine learning algorithms
* Experience working with large-scale datasets
* Ability to communicate findings and recommendations to stakeholders
* Strong problem-solving skills while paying attention to detail
* Strong project management skills, with the ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced, dynamic environment
* Ability to facilitate collaboration to achieve project goals A Bonus
* 2+ years of experience in a leadership or management role an advantage
* Familiarity with Fair Lending regulations such as the Equal Credit Opportunity Act (ECOA), Fair Housing Act (FHA), and Home Mortgage Disclosure Act (HMDA) preferred
* Experience in Fair Lending analytics preferred
* Knowledge of regulatory compliance frameworks and industry guidelines for fair lending risk management an advantage
* Experience with machine learning techniques, such as decision trees, random forests, or gradient boosting an advantage
* Experience with data visualization tools such as Tableau, Power BI an advantage Why join us Cross River Technologies develops software infrastructure for the fintech industry. Providing innovative technological solutions for various financial services, including payments, credit cards, and loans. Globally, Cross River has 900 employees, 170 of whom are based in the R&D center at the Jerusalem offices. We offer a wide range of wellness benefits including ong

The Machine Learning Group is dedicated to enhancing our platform by delivering actionable insights and reliable predictions that our customers trust and value. Our team is highly committed to adopting good research and development practices while maintaining a keen understanding of the customer's perspective, ensuring that our solutions are technically robust and aligned with their needs.

Our solutions include diverse focus areas, from classical ML algorithms to cutting-edge generative models embedded in our core product suite. By combining qualitative and quantitative data, we take projects from initial ideation to production, aiming to provide better and actionable insights to our customers.

As a member of our group, you'll collaborate closely with talented individuals, bringing together their diverse skill sets to solve complex problems and drive innovation. Our team culture is built on mutual respect, trust, and a genuine passion for our work. By joining our team, you'll contribute to developing state-of-the-art solutions that power us and play a crucial role in shaping the company's future. At the Machine Learning Group, we emphasize valuing your expertise, nurturing your personal growth, and ensuring your impact is felt across the entire organization.

Role Responsibilities:
Design, implement, and maintain Machine Learning capabilities based on MLOps best practices.
Work closely with the Data Scientists, Product Managers, and other stakeholders to define system requirements.
Collaborate with orur engineering organization (Backend, Frontend, and DevOps engineers) to establish robust interfaces and smooth integrations on ML deliverables.

Were looking for the first senior data scientist to join our analytics department. The ideal candidate will have a strong background in data science, artificial intelligence, and advanced analytics.
This role requires a passion for data, excellent problem-solving skills, and the ability to develop and implement AI-driven solutions to solve complex business challenges.
How youll shape the future of B2B sales:
Collaborate closely with the analytics team to develop and implement AI-driven models and analytical solutions.
Analyze large and complex data sets to identify trends, patterns, and insights that drive business decisions.
Develop and maintain machine learning and AI models to support predictive analytics, business forecasting, and other advanced analytical needs.
Create and present detailed reports, visualizations, and dashboards to communicate findings and recommendations to stakeholders.
Conduct exploratory data analysis and identify opportunities for data-driven improvements and innovations.
Work closely with cross-functional teams to gather and interpret data, ensuring alignment with business objectives.
Stay up-to-date with the latest industry trends and advancements in AI and data science.
Mentor and provide guidance to junior data scientists and analysts within the team.

We are looking for an Algorithm Engineer to join our Analytical initiative in the development group. As an Algorithm Developer in this team, you will play a key role in taking complex machine learning models and productizing them. This role is ideal for a skilled and experienced individual passionate about software development, machine learning, and MLOps.

Position Intro:
Earnix is a leading provider of advanced pricing and rating solutions tailored to the insurance industry. Our cutting-edge software empowers actuaries and data scientists within insurance companies to make data-driven decisions and optimize pricing strategies. With a commitment to innovation and a deep understanding of the insurance landscape, Earnix is at the forefront of revolutionizing the way insurers approach pricing and rating.

We're revolutionizing how fans receive and interact with live sports updates and data. Our platform combines the intensity of live sports with cutting-edge technology to deliver a personalized experience to millions of users worldwide.
About The Role: As a data Science team leader, you will lead our ambitious Machine Learning and AI initiatives. This role involves leading a strong team of data scientists & ML engineers, focusing on impactful and continuous delivery that directly ties Machine Learning models to business outcomes.
Responsibilities:
* Lead the full lifecycle of Machine Learning and AI projects, from ideation through execution, ensuring they align with business objectives.
* Mentoring team members, and establishing best practices and efficient processes.
* Manage a diverse portfolio of machine-learning models, balancing immediate needs with long-term innovative projects to maximize business impact.
* Analyze a wide array of data inputs to identify opportunities that align with company goals, transforming complex business and product challenges into actionable data science initiatives.
* Collaborate with stakeholders across the organization to drive multiple, concurrent projects to successful completion.

We are looking for a passionate, motivated, and innovative Senior Data Scientist to join our team!
If you value personal and career growth, teamwork, and winning this role is for you!
This position will be part of our Innovation department.
we explore new market opportunities and applications to build and bring to market industry-leading solutions that deliver new value for customers and fuel the companys expansion.
We operate as an independent unit, enjoying flexibility, numerous opportunities to make a significant impact, and engaging in meaningful and challenging work. Additionally, we have access to resources, which enables rapid progress and reduced risk.
What your day will look like:
Be part of the founding data-science team, implementing new and exciting features, end-to-end, along with the product team, focusing on the algorithmic and machine learning aspects embedded in all our products.
As part of the founding team, you will be able to grow as a data scientist and define the theoretical and technical directions, and you will enjoy a lot of autonomy, responsibility, and ownership.
Apply your scientific knowledge and creativity to analyze large volumes of diverse and unstructured data and develop algorithmic solutions and models to solve complex problems.
Characterize and break down product use-cases effectively, choosing the right formalization and tools to best tackle them.
Research, design and apply advanced data processing technologies and methodologies, from a research playground to production. Contribute best practices to our backend applications and help pick the right frameworks and tooling for Axonius's next product.
Work closely with other team members, such as backend developers, product managers and data engineers, across all Axonius groups and departments.
Build and promote quick prototypes/POC/demos to conceptualize innovative ideas
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms and machine-learning models in a production environment and then monitoring and maintaining them.
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue.

Your Role: Breathing Life into Cutting-Edge Tech

As a key part of our team, you will help us build the bridge between top ML frameworks and Sonys revolutionary edge-device processors. Your role extends beyond creating quality software; you will be instrumental in refining our CI/CD pipeline, steering the development of open-source features, and constantly challenging and refining our problem-solving approaches.

Key Responsibilities:

Build effective collaborations with our elite developer team, optimizing and seamlessly integrating TensorFlow/PyTorch neural networks into our edge device processors.

Stay updated with the latest innovations in TensorFlow/PyTorch and SoTA neural network architectures.

Engage in proactive code reviews and mentorship, fostering a cooperative and productive working environment.

Take responsibility for assigned tasks, delivering high-quality, thoroughly tested code that prioritizes readability, flexibility, and an exceptional user experience.

Help shape the future of our development environment, infrastructure, and methodologies, emphasizing an intuitive and efficient developer experience.

Contribute to the growth of our open-source codebase with your expertise.Your Role: Breathing Life into Cutting-Edge Tech

As a key part of our team, you will help us build the bridge between top ML frameworks and Sonys revolutionary edge-device processors. Your role extends beyond creating quality software; you will be instrumental in refining our CI/CD pipeline, steering the development of open-source features, and constantly challenging and refining our problem-solving approaches.

Key Responsibilities:

Build effective collaborations with our elite developer team, optimizing and seamlessly integrating TensorFlow/PyTorch neural networks into our edge device processors.

Stay updated with the latest innovations in TensorFlow/PyTorch and SoTA neural network architectures.

Engage in proactive code reviews and mentorship, fostering a cooperative and productive working environment.

Take responsibility for assigned tasks, delivering high-quality, thoroughly tested code that prioritizes readability, flexibility, and an exceptional user experience.

Help shape the future of our development environment, infrastructure, and methodologies, emphasizing an intuitive and efficient developer experience.

Contribute to the growth of our open-source codebase with your expertise.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimisation problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Leading projects or small teams of people to help them unblock, advocating for ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmaps
Code deliverables in tandem with the engineering team

Software Engineer, Machine Learning Responsibilities
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)