דרושים » תוכנה » Deep Learning team leader

We are looking for a deep learning engineer experienced with computer vision to join our DL algorithms Team.
We are dealing with a variety of tasks such as regression, segmentation, classification and detection while editing millions of images every week for professionals, and holding tens of millions edited images by professionals used as datasets.
Responsibilities:
Design, development and bring to production novel, robust and efficient deep learning algorithms in the field of computer vision.
Create proofs of concept for new products and technology.
Evaluate and benchmark different algorithms for unique, proprietary datasets.
Collaborate with team members to define future technology and features.

We are seeking a dynamic and experienced Head of Algorithms to lead our algorithm development team. The ideal candidate will have a proven track record in designing, developing, and implementing innovative algorithms to address complex challenges in deep learning domains. As a crucial member of our technical leadership, you will play a pivotal role in driving technological advancements and ensuring the success of our projects.

RESPONSIBILITIES
Lead and manage a team of algorithm engineers and data scientists. Define and execute the algorithm development roadmap, aligning it with the companys overall strategy and objectives.
Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to ensure seamless integration of algorithms into our products and solutions.
Stay abreast of the latest advancements in algorithmic research and implement best practices in algorithm development.
Conduct performance evaluations, provide mentorship, and identify opportunities for professional development within the team.
Oversee the design, development, testing, and optimization of algorithms for Vision AI
Evaluate and select appropriate tools, platforms, and technologies for algorithm development.

we are looking for a Algorithm Tech Lead- Big Brains
RESPONSIBILITIES
Use a deep understanding of the state-of-the-art open-source computer vision models to build an extremely high accuracy system for 2D/3D object detection in still images and video, semantic and instance segmentation, high-accuracy object/pixel tracking, visual odometry, and depth estimation.
Leading algorithms projects with multiple algorithms engineers
Map out the long tail of remaining accuracy gaps and close them by in-house training models and leveraging AutoBrains unparalleled domain expertise and proprietary technology.
Improve the accuracy of our system further by leveraging data from additional sensors such as radar and lidar.
Innovative research at this scale does not come from lone wolves - you are expected to be a team player: collaborate well with others, clearly communicate your results, and align your work with the team's goals, while maintaining your self-sufficiency.

We are looking for a brilliant and highly motivated Computer Vision Team Lead who is a passionate technological leader, with strong interpersonal and managerial skills.
You will be taking end-to-end responsibility for our Computer Vision domain the team, strategy, roadmap, and execution.
You will work closely with all of our product and development teams to identify, prioritize, and design AI-driven features, and will be in charge of their end-to-end research, development, integration, and deployment at scale.

we are seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on computer vision related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.
Software Engineer, Computer Vision - Reality Labs Responsibilities
Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve products and experiences
Assist in goal setting related to project impact, AI system design, and ML excellence
Drive large efforts across multiple teams
Mentor other AI Engineers & improve the quality of AI work in the broader team
Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
Apply in-depth knowledge of how the machine learning system interacts with the other systems around it

We are looking for experienced, creative and impact-oriented Algorithm Developers to join our team!

As an Algorithm Developer you will be responsible for building the algorithms powering our platform and our consumer applications (Wordtune Suite). You will be part of a multi-disciplinary team that also includes engineers and product professionals, all working together to bring our products to life.

You will take part in the full life cycle of our development process, deeply understand the problem we are solving, come up with algorithmic approaches for solving these problems, devise strategies for collecting necessary training data, train and evaluate large language models and other machine learning models and also be in charge of deploying these solutions in production.

ROLE AND RESPONSIBILITIES
Build the algorithms that power our various products
Develop production-grade solutions to challenging product-driven NLP tasks by combining deep language models, classical ML/NLP and algorithms
Collaborate with product, sales and customer success teams to define success criteria and translate them into quantitative measures and objectives
Devise innovative strategies for collecting training and evaluation data
Train and evaluate models in realistic production scenarios
End-to-end ownership of the algorithmic components of our products, from design, through implementation and monitoring in production

Were seeking a future team member for the role of AI RESEARCHER to join our AI HUB team. This role is located in TEL AVIV, ISRAEL (hybrid).

In this role, youll make an impact in the following ways:
Algorithmic Development and Mathematical Analysis.
Engage in the in-depth study and modification of algorithms that power Large Language Models.
Deep mathematical understanding of natural language processing techniques, model architectures, and optimization strategies is essential for refining or creating more efficient and effective models.
Technology Review and Benchmarking.
Keep abreast of the latest advancements in the Large Language Model landscape by continuously reviewing state-of-the-art technologies and frameworks.
Identify performance bottlenecks and operational limitations in existing systems, offering technological insights that can steer the development of next-generation models.
Conceptual Innovation and Prototyping.
Dedicate efforts to crafting novel methods and algorithms aimed at pushing the boundaries of what Large Language Models can accomplish.
Translate theoretical breakthroughs into testable prototypes, collaborating with engineering teams to evaluate their real-world applicability and scalability.

Required Data Engineer Team Leader
Your Mission:
As a Data Engineer Team Leader, your mission will be to lead a team of Data engineers in architecting, designing, and implementing robust data infrastructures that empower our analytics, data science, and business teams. You'll play a pivotal role in harnessing the full potential of our data by constructing scalable, efficient, and real-time data pipelines. Your expertise will enable us to process vast amounts of data, ensuring that every byte is accessible, reliable, and actionable.
As a leader, you will drive the next generation of our data capabilities and mentor team members to excel in their roles. Every line of code and every data pipeline optimized will fuel our mission, enabling us to leverage business insights that redefine industry standards and propel us ahead of the competition.
Responsibilities:
Lead the design, construction, installation, and maintenance of large-scale processing systems and other infrastructure.
Build and maintain data pipelines to support the needs of the companys business intelligence, analytics, and data science teams.
Collaborate with other teams to extract, transform, and load (ETL) data from various sources, ensuring data integrity and accuracy.
Implement strategies to improve data reliability, efficiency, and quality, setting high standards for the team to follow.
Ensure architectures support the demands of rapid data growth, while also considering scalability and performance optimization.
Work closely with data architects, modelers, DevOps, and IT team members to align project goals and drive successful outcomes.
Lead the design and implementation of cloud-based solutions, with a focus on Microsoft Azure, and AWS services, while guiding team members in best practices.
Optimize data retrieval processes and oversee the development of dashboards and visualizations for stakeholders.
Manage, Mentor, and guide your team members in developing batch & real-time data processing solutions using tools like Spark and Databricks.
Actively participate in recruiting, hiring, and onboarding new team members, ensuring a cohesive and skilled team.
Lead a culture of innovation, collaboration, and continuous learning within the team.

We are looking for exceptional talent to join our algorithm team as a Tech lead.
As a Tech lead, you will be responsible for designing, planning, and leading the POC research in order to improve both our camera outputs - intensity and depth images.
Your Day to Day:
Participating in high-level algorithm pipeline architecture definition/planning
Participating in defining detailed requirements for each algorithmic module
Leading POC research end to end from kickoff, through planning, algo development (guiding researchers / hands-on), and reviewing reports.
Guide and develop various algorithmic blocks in ISP (image signal processing) and Computer Vision domains, based on SWIR images
Continuous tracking of POC through Jira against the plan timeline
Developing and implementing infrastructure in POC pipeline code in Python
Review GIT PR (pull request) of the POC pipeline
Support other teams in terms of performance analysis and algorithm pipeline debugging.

we are looking for a Head of Backend Engineering for Machine Learning
RESPONSIBILITIES

Managerial responsibility- Lead, mentor, and manage a team of Senior Backend Software Developers, ensuring alignment and optimal performance.
Coding and development responsibility- Hands-on involvement in the development of Python code in our algorithms pipeline, including building and maintaining machine learning frameworks.
ML model creation and optimization- Create and optimize neural network training models, encompassing ML Ops.
Collaboration with hardware and optimization- Collaborate with machine learning engineers to understand the requirements of the neural network models and the hardware platforms they will run on and provide recommendations for hardware and software optimization
Facilitate collaboration between cross-functional teams, ensuring timely execution.
Coding standards and best practices- Uphold coding standards, quality, and best practices with a hands-on approach.
Continuous learning and implementation- Keep up-to-date with the latest developments in hardware and software for neural network optimization, and implement new techniques as appropriate.