דרושים » הנדסה » Customer Engineer, Machine Learning, Google Cloud

Architect, develop, and deliver solutions leveraging Google's ecosystem, including Google Cloud and Google Artificial Intelligence (AI) capabilities, to maximize the potential of Google Ads and Google Marketing Platform products.
Work with Google's largest advertisers, agencies and partners, understand their tests, collect requirements, provide solutions to apply ad products and technologies to achieve their business goals.
Identify and solve client problems through effective project management and consultation on technical setup.

Ask a member of our team and theyll answer, Our people! We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When youre part of our team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Cloud Security was born out of the acquisition of Ermetic, an innovative cloud-native application protection platform (CNAPP) company, and a leading provider of cloud infrastructure entitlement management (CIEM). The acquisition combines two cybersecurity innovators and marks an important milestone in mission to shift organizations to proactive security. The combination of and Ermetic offerings will add capabilities to deliver market-leading contextual risk visibility, prioritization and remediation across infrastructure and identities, both on-premises and in the cloud.
Your Role:
Design, develop, and maintain complex, scalable, and high-performance systems with a focus on writing clean, efficient, and maintainable code.
Collaborate with cross-functional teams, including product managers and architects, to implement technical solutions aligned with business objectives.
Provide input on architectural design and participate in technical planning to ensure long-term maintainability and compliance with standards.
Identify and troubleshoot production issues, conducting root cause analysis and implementing fixes to ensure system reliability.
Contribute to code reviews and technical discussions, sharing knowledge and fostering a culture of collaboration and continuous improvement.
Your Opportunity:
Develop critical components and systems that drive business outcomes, while maintaining and enhancing core infrastructure for scalability and reliability.
Participate in the design and development of new features, integrations, and enhancements to software applications, databases, and interfaces.
Support and improve automated testing and deployment processes to ensure smooth delivery of new features and system updates.
Collaborate with other senior engineers to drive the technical direction of projects and ensure high-quality software delivery.

Required Software Engineer, Machine Learning
We are embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.
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
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.

Your Role:

Design, develop, and maintain complex, scalable, and high-performance systems with a focus on writing clean, efficient, and maintainable code.

Collaborate with cross-functional teams, including product managers and architects, to implement technical solutions aligned with business objectives.

Provide input on architectural design and participate in technical planning to ensure long-term maintainability and compliance with standards.

Identify and troubleshoot production issues, conducting root cause analysis and implementing fixes to ensure system reliability.

Contribute to code reviews and technical discussions, sharing knowledge and fostering a culture of collaboration and continuous improvement.

Your Opportunity:

Develop critical components and systems that drive business outcomes, while maintaining and enhancing core infrastructure for scalability and reliability.

Participate in the design and development of new features, integrations, and enhancements to software applications, databases, and interfaces.

Support and improve automated testing and deployment processes to ensure smooth delivery of new features and system updates.

Collaborate with other senior engineers to drive the technical direction of projects and ensure high-quality software delivery.

We are looking for an experienced and passionate Team Leader to lead our Deep Learning team. In this role, you will be responsible for leading the developing and delivering high-impact ML projects. You will work closely with stakeholders to identify and prioritize business problems, and develop and execute data science solutions.

Responsibilities:
Lead and manage a team of ML researchers.
Work with stakeholders to identify and prioritize business problems.
Develop and execute DL solutions.
Ensure that ML projects are delivered on time and within budget.
Work closely with the Principal Researchers to plan the research roadmap.
Collaborate with product and engineering teams to integrate ML solutions into our platform.
Stay up-to-date with the latest advancements in ML research and development.

Your Role:

Design, develop, and maintain complex, scalable, and high-performance systems with a focus on writing clean, efficient, and maintainable code.

Collaborate with cross-functional teams, including product managers and architects, to implement technical solutions aligned with business objectives.

Provide input on architectural design and participate in technical planning to ensure long-term maintainability and compliance with standards.

Identify and troubleshoot production issues, conducting root cause analysis and implementing fixes to ensure system reliability.

Contribute to code reviews and technical discussions, sharing knowledge and fostering a culture of collaboration and continuous improvement.

Your Opportunity:

Develop critical components and systems that drive business outcomes, while maintaining and enhancing core infrastructure for scalability and reliability.

Participate in the design and development of new features, integrations, and enhancements to software applications, databases, and interfaces.

Support and improve automated testing and deployment processes to ensure smooth delivery of new features and system updates.

Collaborate with other senior engineers to drive the technical direction of projects and ensure high-quality software delivery.

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 close to $400M 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 Research Scientist - 3D Generative AI to join our talented algo team. As a Research scientist, 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 algorithm s 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

As a Principal Engineer at Via you will be instrumental in shaping the R&D Groups technical vision, working on high-impact projects crucial to the companys success. You will be a pivotal leader, guiding engineers and maintaining the highest standards of technical excellence. You will design, develop, test, deploy, maintain, and enhance software solutions, contributing to the development of Vias cutting-edge server software and scalable, robust infrastructure.

What Youll Do:
Shape the Groups technical landscape, driving innovation and technical excellence.
Influence the architectural design, making key decisions in how systems are structured.
Lead complex technical projects, ensuring timely delivery to meet key business objectives.
Provide technical leadership and expertise, and mentor engineers to reach the highest standards of technical excellence, fostering a culture of innovation and continuous improvement.
Drive system design, architecture, and integration efforts.
Collaborate with cross-functional teams to define project requirements and deliverables.
Develop high-quality code and participate in code reviews to ensure adherence to standards.
Stay current with industry trends, emerging technologies, and best practices to drive continuous improvement initiatives.

We are seeking a highly skilled and experienced Machine Learning (ML) Application Engineer Team Lead to spearhead the development of reference applications in computer vision and large language models (LLMs). This role involves designing and implementing robust ML pipelines utilized by both our customers and internal teams to evaluate and benchmark our hardware/platform. The ideal candidate will lead a team of four engineers, each focusing on individual applications, ensuring synchronization and cohesive progress across projects.

Key Responsibilities:
Team Leadership: Manage and mentor a team of four ML engineers, fostering a collaborative environment that encourages innovation and professional growth.
Application Development: Oversee the design and development of reference applications in computer vision and LLMs, ensuring they meet industry standards and client requirements.
Pipeline Engineering: Develop and optimize ML pipelines for vision and LLM applications, facilitating seamless integration and deployment for customers and internal assessments.
Performance Evaluation: Lead efforts to benchmark our hardware/platform's performance against competitors, providing insights and recommendations for continuous improvement.
Cross-Project Coordination: Ensure alignment and effective communication among team members, synchronizing efforts across various application projects.
Stakeholder Collaboration: Work closely with product managers, hardware engineers, and other stakeholders to align application development with business objectives and technological advancements.