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We are seeking a seasoned Architect to design and build scalable, robust systems from end to end. Our system handles various ML and DL models, processes 100+TB of new data daily, supports hundreds of millions of daily active users, and manages billions of requests per day.

The successful candidate will implement cloud architecture best practices on AWS, lead the deployment of machine learning models in this high-scale real-time environment, and collaborate with cross-functional teams to ensure seamless integration and top performance.

Responsibilities:

Design and architect scalable, robust systems from end-to-end
Implement best practices and creative solutions in cloud architecture on AWS
Lead the deployment of machine learning models into a production high-scale real-time environment
Work closely with back-end, front-end, data engineering, ml-engineering, data-science teams to ensure seamless integration
Drive discussions and provide guidance on architecture best practices, mentoring other team members when necessary
Assess and address technical risks and potentials
Review code for quality, performance, and scalability
Collaborate with stakeholders and product managers to translate business needs into system architecture

If you are a hands-on person with experience in leading a team of Embedded SW engineers and you want to be a part of the Autonomous vehicle revolution, we are looking for you! As our RT Embedded SW Team Leader you will lead the development of Embedded SW involving various tools and cutting-edge technologies in Real-Time environment.
What will your job look like?
Lead a team of Embedded RT Engineers.
Develop drivers and SW support for new HW including debugging and integration.
Interact with external customers and multiple departments in our company for requirement gathering and correct integration of new features.

We are looking for an experienced BI / Data Engineer to develop systems that make vast amount of data more accessible and efficient throughout the organization. This is a perfect opportunity if youre passionate about data and have strong analytical and technical skills.

You will be developing innovative and creative ways to deliver data and information at scale in a fast-growing, exciting industry while working closely with our data analysts, product managers, software engineering teams, and management.

Responsibilities:

Design, manage, and optimize scalable data models and BI infrastructures for internal and external stakeholders
Work with diverse relational and non-relational databases (Presto, Athena, Firebolt, MySQL, etc.)
Build and maintain reliable ETL/ELT pipelines using Airflow, Python, and Upsolver
Design and develop data visualizations and dashboards (Tableau)
Identify and implement technological solutions for large-scale analytics
Serve as the central data authority, providing guidance, documentation, and support across the company

Were looking for a Data Product Manager to lead key data products and help drive core infrastructure initiatives. This role blends product thinking, technical depth, and cross-team collaboration perfect for someone who enjoys solving complex problems and working closely with engineering, BI, and architecture teams. This is a new role, so youll have plenty of room to shape how it works and make it your own.

If you're passionate about solving real-world challenges at scale, enjoy building products in highly technical domains, and want to lead cross-functional teams in a fast-paced environment, this is your chance to make a real impact.

Responsibilities

Lead data-heavy products end-to-end from ideation and feasibility through execution, rollout, and ongoing support, individually or with other PMs.
Set the strategic direction for data as a product, defining how data is structured, governed, and delivered to maximize business impact. Ensure clarity, usability, and adoption through strong data quality practices and business-aligned standards.
Drive core data infrastructure initiatives by representing product and business needs, ensuring clear value, and partnering with architects and engineering leadership on key platform improvements.

We're looking for a skilled and motivated Data Science Team Lead to guide a team of talented data scientists in developing real-time, machine learning-based products. Youll play a key role in driving innovation - researching, designing, and deploying advanced ML models that directly enhance user experience and product performance.

This is an exciting opportunity for a hands-on leader who thrives in a fast-paced, impact-driven environment.

Responsibilities:

Lead, mentor, and inspire a team of data scientistsfostering a culture of collaboration, innovation, and technical excellence
Guide team members personal and professional development
Collaborate with product and engineering teams to identify challenges, uncover opportunities, and drive data-driven solutions
Recruit and retain top-tier talent as the team grows
Research and develop ML models using cutting-edge techniques across a range of domains
Generate new ideas and insights to improve performance and deliver business value

We are looking for a Fullstack Team Leader who can rally a team behind a vision, build it efficiently, and have the foresight to help the company scale through software. This position is meant for those who want to be in the thick of things and make impactful decisions.

You will be building and maintaining our most sensitive systems and platforms that enable and empower our companys growth. Our system supports millions of requests per second and should be built to scale and high performance. In our data-driven environment, your team's planning and implementation has a crucial role in our ability to support our clients.

We reward talent. Our employees support each other to advance individually and as a team. Most of all, we exceed our clients expectations while still having fun.



Responsibilities:

Design, code, and manage large scale, highly available, real-time (low latency) services using cutting edge technologies (Node.js, React, Redis, Kubernetes, etc. over AWS).
Lead and mentor a team of around 4 members, abroad, and performing code reviews to other team members.
Work with stakeholders including the Executive, Product, Data, and Design teams to craft the most optimal solutions for our problems.
Design and develop APIs or integrate with 3rd party APIs.
Manage a time-efficient sprint plan. Plan, groom and manage the present sprint and the upcoming ones with Product.
Understand and implement security and data protection needs, and assist in-house teams and supply creative solutions for various problems.

We are looking for a Machine Learning Tech Lead to promote machine learning engineering excellence. Someone who is passionate about building scalable, high-quality data products and processes, while ensuring production systems maintain strong real-time performance observability.

As a Tech Lead on the ML team , you will focus on designing and maintaining the core infrastructure that empowers the Machine Learning Engineers working within Data Science product teams. Youll collaborate closely with stakeholders across data science, product, and engineering, playing a pivotal role in driving the business by architecting and enabling the infrastructure for machine learning model development, serving, and lifecycle managementthe foundation of our product.

Responsibilities:

Partner with MLEs in Data Science product teams and key stakeholders to design and maintain infrastructure for:
Data wrangling supporting and enabling data requirements for research, training, validation, and testing.
End-to-end ML delivery enabling model performance development, training, validation, testing, and version control.
Drive engineering best practices including code and model versioning, CI/CD pipelines, rollout strategies, and disaster recovery procedures.
Build and support monitoring and observability tools dashboards, alerts, and performance tracking of models in production.
Lead architecture projects such as:
Feature Store centralizing feature engineering and serving across teams.
Vector Databases enabling large-scale embedding storage and retrieval for advanced ML applications.
GPU Cluster Scaling optimizing distributed training and inference infrastructure.
Collaborate with product, data science, and engineering teams to solve complex problems, identify trends, and create opportunities through robust ML infrastructure.

we are a global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions. Across the company, algorithm developers work at the forefront of AV/ADAS innovation- designing and implementing perception, mapping, computer vision, and decision-making algorithms, typically in Python or C++. At our company, algorithm developers join a variety of teams across a broad range of domains. This role serves as a central entry point, allowing us to match your expertise and aspirations with the team where you can make the greatest impact. Algorithm developers at our company contribute to diverse areas of innovation, including: Detection: Developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time. Object Modeling: Developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding. Geometry: Developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3D object placement, tracking, and other core perception tasks. Mapping: Developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation. 3D Perception & Sensor Fusion: Designing algorithms for 3D reconstruction and multi-sensor reasoning to accurately model and understand the driving environment.
What will your job look like?
Your job will include a combination of algorithm development and programming in Python and C++.
Work with image-based data, focusing on extracting and representing spatial information accurately and efficiently.
Take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
Collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions.

As a Backend Engineer , you will take on exciting challenges, including researching new algorithms and probability models, developing systems from scratch, and working in a fast-paced real-time environment. You will also build services that leverage real-time buying data to dynamically optimize campaign configurations, ensuring we achieve the most effective outcomes for our clients.

Collaboration is key in this role. You will work closely with data science and product team, requiring both technical expertise and a deep understanding of the domain. In addition, you will integrate with 3rd-party platforms.

you will own your tasks from top to bottom, with the freedom to learn, innovate, and sharpen your skills alongside an exceptionally talented team. We value a hunger for growth, hard work, and collaboration.

Responsibilities

Design, code, and manage large-scale, highly available, real-time (low latency) services using cutting-edge technologies (Python, Node.js, Redis, Docker, built on AWS infrastructure).
Work with stakeholders including the Executive, Product, Data, and Design teams to craft the most optimal solutions for our problems
Design and develop APIs or integrate with 3rd party APIs
Performing code reviews with other team members
Assist in-house teams and supply creative solutions for various problems
Understand and implement security and data protection needs

We are looking for an experienced Senior Data Analyst to help us shape strategy and processes by bringing data-driven recommendations.

In this role, you will collaborate cross-functionally with product, engineering, and growth teams to identify key metrics that impact our strategy and performance.
We reward talent. Our employees support each other in advancing individually and as a team. Most of all, we exceed our clients expectations while still having fun.

Responsibilities:

Strategic Thinking: Identify and tackle complex challenges, and develop strategic solutions contributing to our long-term goals.
End-to-End Project Management: Independently manage projects from concept to completion. Ensure timely delivery of high-quality results, taking full ownership of challenging efforts.
Track and Report Product KPIs: Collaborate with product teams to define, monitor, and report on KPIs for roadmap features, ensuring alignment with business goals like user engagement, retention, and revenue growth.
Data-Driven Product Insights: Analyze product performance and provide actionable insights to guide feature iterations and prioritize future roadmap decisions based on metrics such as LTV, ROAS, and customer satisfaction.
Advanced Analytics: Lead the development and application of advanced analytical techniques to validate hypotheses and optimize business performance
Leadership & Collaboration: Guide, and mentor analysts in advanced methodologies, best practices, and data storytelling, collaborating cross-functionally with management, product, engineering, and marketing to drive data-informed decisions.
Continuous Improvement: Stay current with industry trends, tools, and best practices. Proactively suggest improvements to our data processes and systems.

We are looking for an experienced Automation Engineer to join our dynamic engineering team. This role is ideal for someone with a solid background in automation development, who thrives in an agile environment and is passionate about continuous learning and collaboration.
What will your job look like:
Design, develop, debug, and maintain automation solutions using Python and Airflow
Integrate and monitor workflows using Grafana for observability and alerting
Work with Visa protocol (or similar) for secure data exchange and communication
Collaborate cross-functionally with developers, product managers, and QA teams to deliver high-quality automated systems
Troubleshoot, debug, and optimize automation pipelines for performance and reliability
Contribute to architectural decisions and improvements in automation frameworks and tools
Maintain clear documentation and knowledge sharing with team members.

we are a global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions. Across the company, Senior Deep Learning Algorithm Developers work at the forefront of AV/ADAS innovation - designing, training, and optimizing deep neural networks for tasks such as perception, mapping, and scene understanding. This includes working with large-scale datasets, leveraging frameworks like PyTorch or TensorFlow, and applying state-of-the-art techniques to tackle complex perception and decision-making challenges in real-world driving scenarios. At our company, Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.
What will your job look like?
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Analyze large datasets to improve algorithm performance and robustness.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.

We are looking for engineers with proven experience working with large-scale datasets and distributed systems, who are passionate about data quality, performance, and system reliability.

Responsibilities:

Design and implement scalable, fault-tolerant ETL pipelines using Apache Spark for high-throughput, real-time and batch data processing.
Develop and manage CI/CD pipelines, testing strategies, and data quality frameworks to ensure robust data workflows.
Collaborate with data scientists, analysts, and product teams to build data models, maintain data lineage, and surface insights that drive business value.
Evaluate and integrate new technologies to enhance performance, scalability, and cost-efficiency in our data ecosystem.
Own and evolve critical components of our data infrastructure, with a deep understanding of both technical architecture and business context.

we are a global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions. Across the company, Senior Deep Learning Algorithm Developers work at the forefront of AV/ADAS innovation - designing, training, and optimizing deep neural networks for tasks such as perception, mapping, and scene understanding. This includes working with large-scale datasets, leveraging frameworks like PyTorch or TensorFlow, and applying state-of-the-art techniques to tackle complex perception and decision-making challenges in real-world driving scenarios. At our company, Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.
What will your job look like?
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Analyze large datasets to improve algorithm performance and robustness.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.