דרושים » הנדסה » Machine Learning Engineer

Join the forefront of innovation as a fullstack Generative AI Engineer, where cutting-edge technology meets transformative solutions.
we're not just developing products; we're revolutionizing the accessibility domain with the power of generative AI.
Our mission is to make digital products universally accessible, leveraging the latest advancements in AI technology.
This is your chance to be part of a groundbreaking journey, creating end-to-end products that are not only technologically advanced but will also make the digital world accessible to everyone.
Your Impact & Responsibilities:
Design, develop and implement products that incorporate generative models, knowledge retrieval and task specific prompt engineering
Find creative solutions to bypass existing LLM blindspots and weakness
Research and stay updated with the latest trends and advancements in Generative AI
Deliver solutions to production in collaboration with backend and frontend teams.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are hiring a highly skilled and motivated Generative AI Researcher to join our talented research team. As a Generative AI Researcher, you will be responsible for developing and implementing cutting-edge multi-modality LLMs to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy genAI-powered solutions that enhance our products and services.
A day in the life and how you’ll make an impact: Designing, developing, and implementing multi-modality generative AI models and algorithms utilizing state-of-the-art techniques
* Collaborating with cross-functional teams to define genAI project requirements and objectives, ensuring alignment with overall business goals.
* Stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
* Publish in high profile venues such as Nature, Science, CVPR, NeurIPS, ICML or similar
* Optimizing existing generative AI models for improved performance, scalability, and efficiency.
* Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
* Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
* Contributing to the establishment of best practices and standards for generative AI development within the organization
* Providing technical mentorship and guidance to junior team members

We are looking for a Machine Learning Engineer to join our Data Science group.
We are a fast-growing company that is building a multi-product platform for eCommerce brands, and the Data Science group is at the heart of our innovative solutions.
Our group works on fundamental challenges within the eCommerce space which span a variety of domains, such as Machine Learning, Deep Learning, NLP, Generative AI, Reinforcement Learning, Recommendation Systems, Computer Vision and more.
You will:
Build data pipelines & large scale solutions based on ML models.
Work with big data technologies (e.g., AWS, spark, airflow, k8s), ML technologies (e.g., pytorch, keras, mlflow) and software engineering technologies (e.g., git, docker, jenkins).
Collaborate with highly experienced developers and researchers.
Constantly learn new stuff.

Our Tel-Aviv-based team is committed to spearheading innovative projects using cutting-edge technologies such as Large Language Models (LLM) to create novel hiring solutions for global clients. As part of our team, you'll be at the forefront of our mission, directly influencing the hiring experiences of millions of candidates worldwide.

Sound like your perfect fit? We want to hear from you!

In this role as a Senior Software Engineer, you will:

Dive deep into Large Language Model (LLM) technologies, actively researching and experimenting with new solutions to drive innovation in hiring practices.
Implement practical applications of LLM research findings into end-user-facing applications, creating scalable and impactful tools that directly impact clients.
Adopt lean methodologies to swiftly meet business objectives, swiftly iterating based on client feedback and being unafraid to take risks and learn from failures.
Deeply understand product challenges to make intelligent and efficient software-building decisions.
Collaborate closely with our global R&D, Product, and Design teams located in the US and Vietnam. This role includes the exciting opportunity for international travel once or twice a year, fostering cross-cultural cooperation and growth.

The worlds largest content recommendation platform, is hiring a Senior Machine Learning Engineer.
What are some of the things you do on a day-to-day basis?
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms 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
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

The worlds largest content recommendation platform, is hiring a Staff Machine Learning Engineer.
What are some of the things you do on a day-to-day basis?
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms 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
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

Were in search of a Prompt Engineer with a Data Science background to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this pivotal role, you will immerse yourself in the world of Large Language Models, diving deep into their intricate mechanisms and potentials. Through your work in shaping prompts and refining conversational AI performance, you'll play a crucial part in elevating the hiring experience for millions worldwide., you'll find an opportunity to explore the exciting frontier of conversational AI, directly influencing its evolution and application. Join us on this transformative journey and let's redefine the landscape of recruitment technology together!

Sound like your perfect fit? We want to hear from you!

As a Prompt Engineer, you will be responsible for developing and refining Large Language Model (LLM) prompts to strengthen and scale conversational AI capabilities. In this role, you will:

Dive deep into the potential of Large Language Models (LLMs), specifically aiming to enhance the conversation quality of our AI-driven hiring assistant. Experiment with different techniques and methodologies to optimize the interaction between users and AI.
Craft, test, refine, and optimize prompts to effectively communicate with existing AI models, aiming for improved clarity, efficiency, security and user satisfaction.
Implement and assess practical applications of LLM research findings in user-facing applications, creating scalable, impactful tools.
Develop scalable testing methods for LLMs, allowing for rigorous and systematic evaluation of different models, parameters, and techniques.
Work closely within our global R&D team to drive the evolution of prompt strategies, fostering a collaborative and innovative environment

We are looking for a Senior Applied Scientist to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield, cutting-edge and large-scale engineering and science projects, and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel.

Key job responsibilities:
We are looking for a Senior Applied Scientist with domain expertise in Computer Vision or Recommendation Systems to lead development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.

We are seeking a talented and experienced Data and ML Engineer, youll be leading the ML infrastructure and data processing R&D effort, taking a pivotal part in developing our proprietary machine learning-based perception and navigation algorithms.

In this position, you will report to the AI Team Lead and play a key role in a fast-growing team with significant impact and potential for professional and personal growth.

Responsibilities - what you will be doing

Design, build, and manage the data processing pipelines and solutions used for training and testing of AI algorithms
Collaborate closely with perception and navigation R&D team members to implement machine learning algorithms and models tailored for high-accuracy offline execution, later to be used for automatic labeling and semi-supervised training
Profiling, analyzing, and benchmarking of models to identify areas for improvement in terms of efficiency, and accuracy emphasizing aspects of real-time performance on embedded platforms
Stay up to date with the latest advancements in deep learning foundation models and ML algorithms, data management solutions, and cloud computing advancements
Collaborate with the data management and cloud teams to guide and build a unified data management solution based on multi-sensors and our various data sources

We are looking for a creative, agile and impact-oriented individual to join our Solutions team! This is a rare opportunity to be on the front line of the Generative AI revolution, as it transitions from research to massive adoption.

As a Solution Architect you will discover and implement solutions to client needs using our developer platform, Studio. This is a hands-on role requiring a strong technical background and excellent interpersonal skills. You will use your technical skills to become an expert on Large Language Models (LLMs) and develop best practices for applying them to real-world problems. Most of your time will be spent working on strategic accounts, collaborating closely with the clients technical and product functions as a trusted advisor. You will be in a unique position to drive business outcomes and impact product development roadmap with insights and ideas you bring back from the field.

ROLE AND RESPONSIBILITIES
Gain an in-depth understanding of client goals and constraints and translate them into technical specifications.
Design effective solutions that meet the customer needs utilizing rich toolkit of models and APIs.
Lead the development of POCs for strategic accounts, working hands-on and orchestrating R&D efforts in other teams as needed.
Collaborate with account executives to drive successful sales processes, working together on accounts as an organic team.
Serve as the technical point of contact for account managers, providing technical expertise to support and expand relationships with existing clients.
Collect data, feedback and insights from your experience with clients to drive continuous improvement of our language models.
Identify challenges and opportunities and communicate them to product functions to guide roadmap decisions.
Develop and maintain a library of demos that showcase capabilities.