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Were looking for a skilled and motivated Verification & Validation (V&V) Engineer to join our multidisciplinary engineering team.
In this role, youll design and execute validation strategies ensuring our advanced computer vision and backend systems meet the highest standards of quality, performance, and reliability. Youll collaborate closely with software, hardware, and research teams to bring our innovative store automation solutions from lab to production.
A day in the life
Design and implement test plans and validation procedures for our AI-based perception and backend systems.
Develop and maintain automated testing frameworks and tools using Python.
Create test scripts to validate end-to-end system performance, functionality, and reliability.
Collaborate with development, product, and operations teams to ensure smooth integration and release cycles.
Analyze test data, identify issues, and work with developers to resolve defects efficiently.
Participate in live store validation and field testing to confirm system robustness in real-world environments.
Contribute to the continuous improvement of testing methodologies and processes.

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 state of the art algorithms powering LLMs and agentic frameworks. 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 language models, RL and classical ML/NLP.
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

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 state of the art algorithms powering LLMs and agentic frameworks.
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 language models, RL and classical ML/NLP.
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

The computer vision team is working to transform hematology into a big-data science, ultimately enabling better healthcare. We are seeking a senior research engineer to join us in making this revolution a reality.

Your responsibilities will include:
Contributing expertise to the team to extract maximum value from available visual data. Serving as a knowledgeable resource, capable of respectfully teaching and guiding others, while continuously learning and growing.
Researching and implementing AI technology, including deep learning and classical computer vision approaches. Designing and developing efficient, clear and production-ready Python code to ensure rapid and seamless product integration.
Actively participating in researching new directions: sharing ideas and best practices, defining data requirements, contributing to improving the team's internal research tools, and supporting other team members with their research efforts.

Were currently looking for a Product Analyst to support the Marketplace & Supply product areas , focusing on Drivers app & portal experiences, Consumer services and Marketplace tools.
As a Product Analyst, you will go beyond the numbersdefining, analyzing, and translating data into actionable insights about our business, users, and product features. Youll also design and analyze both randomized and non-randomized experiments to optimize performance
Youll work closely with Product Managers, UX Designers, Developers, Analysts, and stakeholders from other business units to drive key product decisions and shape the product strategy and roadmap.
The ideal candidate is passionate about product analytics, user experience, and applied statistics, with a strong drive to make an impact by leveraging both quantitative and qualitative insights to inform business decisions.
Key Responsibilities:
Conduct quantitative research to drive product recommendations, including cohort analysis, user personas, behavioral segmentation, forecasting, and impact analysis
Design and analyse randomised and non-randomised experiments to optimise product performance and understand user behaviour
Collaborate with cross-functional stakeholders to identify business needs and execute end-to-end analytical projects.
Deliver clear, effective presentations of insights to stakeholders at all levels, using visual representations of data.
Develop and automate reports; build and refine dashboards to provide scalable insights for multiple stakeholders.
Analyze our strategic position against competitors and provide insights that drive value and support our vision.
Define key metrics, analyze usage patterns, and solve challenges that hinder progress toward objectives and key results (OKRs).Lead independent research and develop new analytics methods during dedicated weekly project time.

Required Staff Algorithm Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Machine Learning Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Staff Machine Learning Scientist, youll bring value by:
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.

Join our growing AI team as an Algorithm Developer and help build systems that solve complex challenges in the worlds of creative and marketing.
You'll work hands-on across the stack of our AI features and have real impact on the products evolution.
Key responsibilities:
Research, design, and implement state-of-the-art algorithms in Generative AI.
Work closely with researchers & engineers to bring prototypes into production.
Optimize algorithms for scalability, cost, and performance in cloud environments.
Collaborate with product teams to translate business needs into algorithmic solutions.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

We're looking for a sharp and passionate Business Data Analyst to join our top-notch business analytics team. Using your technical and analytical skills, you'll be responsible for telling the story behind the numbers and to understand how people interact with our products.

Responsibilities
Be on the cutting edge of analysis, leveraging our data sources to propose new ideas that youll then see implemented.
Analyze large, complex data sets representing users behavior, see beyond numbers and help to inform, influence, support and execute our business decisions.
Work closely with Product, Monetization and management, be proactive and provide actionable recommendations and conclusions from game data to shape features, game economies and future product roadmaps and business strategies.
Plan and analyze effective A/B tests in order to improve business KPIs.
Balance and monitor flows from all the features in the game.
Measure and improve performance of promotions and live-ops for each segment.
Build reports and dashboards to monitor product performance, key business metrics and players experience.

Were looking for someone who can deep dive technically, run experiments, build PoCs quickly, and work closely with R&D to evaluate options and shape our direction.
This is an ideal opportunity to kickstart your career as part of a Product team while keeping a very hands-on approach.
What Youll Work On:
Technical & Product Research:
Explore new static analysis approaches, parsing techniques, and AST improvements.
Deep dive into languages, compilers, frameworks and how they map to our SAST/AST engine.
Identify opportunities to improve precision, performance, data flow, variable resolution, and cross-file logic.
Investigate emerging languages, frameworks specificity and new code vulnerability patterns.
Understand how modern development ecosystems affect scanning and detection.
Evaluate where AI can assist in tasks like rule generation or semantic reasoning.

We are looking for a skilled developer with significant experience in creating algorithm-based systems, especially in complex environments. You will lead the technical development of a robust routing and scheduling service, working closely with US-based teams.

Responsibilities:

Lead Development: Take charge of the development process for the routing and scheduling services, ensuring it meets performance and efficiency requirements.

Algorithm Optimization: Apply your deep knowledge of C++ to optimize algorithms and data structures for efficient routing and scheduling.

AWS Cloud Integration: Utilize your expertise in AWS cloud services to design, deploy, and manage cloud-based components of the routing scheduling service.

Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and data scientists, to gather requirements, provide technical insights, and drive project success.

Code Quality: Maintain and improve the codebase by implementing best practices, code reviews, and refactoring when necessary.

Troubleshooting: Identify and resolve complex technical issues, ensuring the service's reliability and performance.

Documentation: Create and maintain documentation for code, design, and processes.


JR314436

Were looking for an Optimization Algorithm Developer to own and lead the algorithmic core of our cloud cost optimization platform as a standalone function within the company.
Youll understand the business problem end-to-end, design heuristic and data-driven solutions, and see their impact quickly.
This is a hands-on role for someone who thrives in fast decision cycles, short research iterations, and a high degree of autonomy.
Your ownership will include:
Own the full lifecycle of optimization logic from identifying business challenges to designing and implementing algorithmic solutions.
Develop and refine heuristic or optimization algorithms for cloud usage and workload management.
Conduct short research cycles that deliver measurable value and can evolve into production-ready systems.
Collaborate proactively with Product, Data Engineering, and Backend teams to bring solutions to life.
Define clear success metrics and evaluation methods (A/B tests, backtesting, KPIs).
Stay up to date with cloud economics, Kubernetes scaling, and FinOps practices.

We are looking for an excellent Senior Firmware Verification Engineer for our FW PHY verification Group. The person will be part of FW PHY verification of our Products. Will closely work with our FW PHY development, architecture teams and gain deep understanding of our products and technologies.

What you'll be doing:

Own the responsibility for delivering Networking features and their verification aspects.

Define, develop and maintain verification infrastructure and regression tests suites - make test suites robust, maintainable and easy portable.

Work with continuous integration system, regression tools, automate builds, run test suites and analyzing results.

Innovate! Bring our product to next quality level.

From early micro-architecture, design and verification, to post silicon validation - the team is responsible for the chip across it's full life cycle.
Our chip is one of the most complex chips in the industry.