דרושים » תוכנה » Machine Learning Engineer

At our company, were reinventing DevOps and MLOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
Are you a platform engineer who thrives on designing and building scalable, high-quality services and infrastructure?Do you want to work on cutting-edge services while shaping the backbone of an ML platform? If so, wed love to have you join our company's ML our MLOps group.
As a Senior Platform Engineer, you will play a critical role in architecting and developing cloud based core services and infrastructure with a strong emphasis on clean code, performance, observability, monitoring, and security. This role also includes developing core Go/Java libraries, cross-cutting services like authentication and authorization, Kubernetes deployments, billing etc.You will collaborate closely with engineering teams, DevOps, architects, and product managers to ensure a scalable, stable, and high-performing system.
As a Platform Engineer at our company's ML you will...
Write clean, maintainable, and efficient code following best practices.
Design and develop robust backend services with scalability, performance, and security in mind.
Conduct high-quality code reviews and architecture discussions, ensuring best practices are followed.
Take full ownership of projects - from ideation and design to production deployment and maintenance.
Collaborate with cross-functional teams to define, design, and ship new features.
Stay current with industry trends, technologies, and best practices in software development and cybersecurity.
Be involved in multiple aspects of an ML platform - from data sources to inference pipelines.

As a Big Data & GenAI Engineering Lead within our company's Data & AI Department, you will play a pivotal role in building the data and AI backbone that empowers product innovation and intelligent business decisions. You will lead the design and implementation of our companys next-generation lakehouse architecture, real-time data infrastructure, and GenAI-enriched solutions, helping drive automation, insights, and personalization at scale. In this role, you will architect and optimize our modern data platform while also integrating and operationalizing Generative AI models to support go-to-market use cases. This includes embedding LLMs and vector search into core data workflows, establishing secure and scalable RAG pipelines, and partnering cross-functionally to deliver impactful AI applications.
As a Big Data & GenAI Engineering Lead in our company you will...
Design, lead, and evolve our companys petabyte-scale Lakehouse and modern data platform to meet performance, scalability, privacy, and extensibility goals.
Architect and implement GenAI-powered data solutions, including retrieval-augmented generation (RAG), semantic search, and LLM orchestration frameworks tailored to business and developer use cases.
Partner with product, engineering, and business stakeholders to identify and develop AI-first use cases, such as intelligent assistants, code insights, anomaly detection, and generative reporting.
Integrate open-source and commercial LLMs securely into data products using frameworks such as LangChain, or similar, to augment AI capabilities into data products.
Collaborate closely with engineering teams to drive instrumentation, telemetry capture, and high-quality data pipelines that feed both analytics and GenAI applications.
Provide technical leadership and mentorship to a cross-functional team of data and ML engineers, ensuring adherence to best practices in data and AI engineering.
Lead tool evaluation, architectural PoCs, and decisions on foundational AI/ML tooling (e.g., vector databases, feature stores, orchestration platforms).
Foster platform adoption through enablement resources, shared assets, and developer-facing APIs and SDKs for accessing GenAI capabilities.

We are looking for a Software Engineer.
As a Software Engineer in the Publisher Enablement Team, your mission will be to:
Architect & Develop : Create, design, develop, test, and monitor your code in production autonomously and reliably.
Full Lifecycle Ownership: Take end-to-end ownership of platform services, from initial design and development to deployment, monitoring, troubleshooting, and continuous optimization in production.
Foster Innovation: Stay at the forefront of industry trends, cloud-native technologies, and AI advancements, proposing and championing new approaches to enhance our platforms capabilities and efficiency.
Work Structure: Work with the Engineering Manager, Product Manager, BI and UIUX team to frame projects and be accountable for their execution.
Collaborate&Commotion: with a variety of teams to develop complex services.
Advance AI Infrastructure: Contribute to the development and evolution of our AI infrastructure and workflows, including intelligent agents that assist in the development process.

We are looking for a Senior Backend and AI Engineer.
As a Senior Software Engineer in the Platform Engineering Team, your mission will be to:
Architect & Develop Core Infrastructure: Design, develop, and maintain highly scalable, reliable, and secure platform services that underpin all engineering efforts at Teads.
Build Developer Tools: Lead the creation of powerful APIs and intuitive UI tools that streamline workflows and enhance the developer experience for hundreds of engineers.
Advance AI Infrastructure: Contribute to the development and evolution of our AI infrastructure and workflows, including intelligent agents that assist in the development process and critical MCP servers.
Full Lifecycle Ownership: Take end-to-end ownership of platform services, from initial design and development to deployment, monitoring, troubleshooting, and continuous optimization in production.
Foster Innovation: Stay at the forefront of industry trends, cloud-native technologies, and AI advancements, proposing and championing new approaches to enhance our platform's capabilities and efficiency.

We're looking for a Director of Engineering, Platform our company's ML to lead the engineering teams responsible for the core infrastructure, multi-cloud capabilities, and developer tooling behind our rapidly growing ML product line. This is a great opportunity to build and scale high-performance platform engineering in the context of cutting-edge ML software all with the stability, reach, and resources of our company behind you.
In this role, you will.
Lead and scale a high-impact group responsible for our company MLs core platform, infrastructure, developer productivity, and tooling.
Own and evolve multi-cloud architecture and services, ensuring reliability, scalability, and performance across AWS, GCP, and Azure.
Drive technical strategy and execution for platform components that serve as the foundation for all ML features and workflows.
Collaborate closely with Product, Security, and Customer Success to deliver enterprise-grade, compliant, and secure solutions.
Champion developer experience and internal tooling, creating a highly productive and enjoyable environment for engineers company-wide.
Recruit, mentor, and grow a team of passionate engineers and managers focused on technical excellence and speed of delivery.
Foster a culture of bold ownership, radical accountability, and a desire to win big.

We are looking for a highly skilled and versatile ML Data Analyst to join our growing BI & Analytics team. This hybrid role combines business intelligence development, data analysis, and machine learning ideal for someone who thrives at the intersection of data, technology, and business strategy.

Responsibilities:
Lead complex, end-to-end analytical projects, collaborating with stakeholders across Marketing, Sales, Product, Finance, and other teams.
Design and develop BI dashboards and reports, including business funnels and KPI tracking, to support data-driven decision-making.
Analyze business data to uncover actionable insights and drive strategic initiatives.
Develop and deploy machine learning models to support forecasting, segmentation, and other business use cases.
Communicate findings and recommendations to influence strategic decisions across the organization.

We are looking for ATE Software Engineer.
As a Software Automatic Test Equipment Engineer, you will play a vital role in developing and maintaining advanced Automatic Test Equipment (ATE) software for electronic cards and calibration systems used in our cutting-edge Active Electronically Scanned Array (AESA) radar technology.
You will collaborate closely with a multidisciplinary team to ensure the functionality, accuracy, and performance of our ATE systems
Key Responsibilities:
ATE Software Development: Design, develop, test, and maintain software for Automatic Test Equipment used in electronic card testing and AESA radar calibration.
Integration: Collaborate with hardware engineers to integrate ATE software with testing equipment and devices, ensuring seamless operation.
Debugging and Troubleshooting: Identify and resolve software issues, system failures, and compatibility problems to ensure optimal ATE performance.
Documentation: Maintain accurate and up-to-date documentation.
Quality Assurance: Implement quality control measures to ensure that ATE software meets industry standards and complies with project requirements.
Team Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and project managers, to meet project milestones and objectives.
Continuous Improvement: Stay up-to-date with industry trends and emerging technologies, and contribute to the ongoing improvement of ATE software and testing methodologies..

Were looking for an Experienced Software Engineer to join our Bright Insights Business Unit, to play a crucial role in shaping the development of our cutting-edge product, working alongside a talented and passionate team.

Responsibilities:
End-to-end feature development, from conception to production.
Participate in system design and architecture planning, for optimal software performance.
Lead projects of varying scopes, from conception to deployment.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.

we are looking for a Software Team Lead.

In this role, you'll lead a team of Backend engineers developing our core product. The initial period will be dedicated to pure hands-on work as part of the onboarding process: designing and developing complex high-performance, high-quality software, spanning across algorithms, application logic, and infrastructure. After this initial period and subject to performance, you will transition into leading a team.

Our system is built in a microservices architecture that interacts with external systems (such as the blockchain and our partners systems) and meets demanding performance, resilience, and security requirements. The code is written mostly in Rust and Python and utilizes continuous delivery and automated testing methodologies.

We're looking for a Full-stack Technical leader to spearhead the development of ecosystem applications on StarkNet, our blockchain scalability solution. This role involves crafting the system's architecture, participating in key technology decisions, and guiding the project from inception to successful deployment.

Key Responsibilities:

Architect and Design: Lead the design and development of ecosystem applications for Starknet, specifically targeting blockchain development teams.
Cross-functional collaboration: Partner with backend teams, product managers, and the broader blockchain developer community to align technical objectives with business goals.
Quality Assurance: Ensure adherence to high coding standards and best practices for maintainability across all developments.
Mentorship and Leadership: Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and improvement.