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As a Software Engineer, you will join our Agents team to architect, develop, and take ownership of our cross-platform endpoint security agent (sensor), a core component of our Asset Risk Management (ARM) solution. In this role, you will design and implement high-performance, low-footprint agents for Windows, macOS, and Linux, ensuring reliable and scalable data collection even in the most demanding enterprise environments. You will collaborate closely with R&D engineers, product managers, and the support team to deliver secure, sophisticated, and highly requested customer features.

What Youll Own and Deliver
Own the full feature lifecycle (from requirements to production monitoring) for our endpoint sensors and core APIs across supported operating systems.
Develop critical new features and resolve complex issues for our enterprise clients, directly contributing to the evolution of our established product.
Collaborate within an agile, small team on both the agent (C#, .Net) and the backend using a microservices architecture with short development and deployment cycles.
Design, optimize, and troubleshoot low-level components that run on multiple operating systems (Windows, Ubuntu, macOS) and containerized environments.
Provide robust production support; troubleshoot and debug issues in both on-premise and cloud deployments, working closely with customer support.
Work with other development teams to define robust APIs and Schema, ensuring data reliability, availability, and correctness across the entire system.

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

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.

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 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 pioneering force in the autonomous vehicles (AV) industry. Join us to build the brain behind the car a large-scale, multi-task neural network that powers the core of our companys autonomous stack. Youll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions. From novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems. If youre a brilliant, hands-on researcher with a passion for shaping the future this is your launchpad.
Why us?
Our team is at the forefront of our companys most advanced AI efforts.
As a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products.
If youre seeking a high-impact role among top-tier researchers and developers this is the place to be.

We're looking for a Senior DevOps Engineer with a passion for driving efficiency and reliability. You will play a key role in evolving our DevOps practices, leading the charge on critical infrastructure initiatives and enhancing our deployment pipelines. This position involves close collaboration with engineering and product teams to translate business needs into resilient, available, and secure systems.

Responsibilities:

Evolve and maintain adaptive cloud infrastructure to support our business strategy and enable smooth growth at scale.
Improve the resiliency and cost efficiency of our cloud infrastructure.
Collaborate with developers to optimize service performance, reliability, and scale.

We are seeking a Senior Data Scientist who thrives on exploring complex data sets, extracting meaningful insights, and building high-quality, real-time data products to enhance our cutting-edge technologies. At Bigabid, we value talent and collaboration, fostering an environment where employees support one another to grow both individually and as a team. Our work is rewarding, challenging, and fun all while exceeding our clients expectations.

Responsibilities:

Deliver end-to-end machine learning models and impactful research.
Play a critical role in model development, prototyping, offline validation, production implementation, and online testing of our suite of ML products
Analyze vast and complex data sets to identify meaningful patterns and engineer features for ML models.
Design, build, tune, and interpret ML models by applying the scientific method and leveraging cutting-edge techniques.
Perform data manipulation, cleaning, validation, and cross-domain research to enrich insights and solutions.
Generate creative research ideas and actionable insights to address challenging business and technical problems.
Collaborate with product managers and engineering teams to align on problem definitions, trends, and solution opportunities.

Required IT Support Engineer
Job Description
As an IT Support Engineer, youll play a pivotal role in ensuring smooth technical operations and efficient support for our employees across the globe. Youll work in a dynamic, multi-OS environment, managing IT systems, providing excellent support, and contributing to innovative IT projects. In your day-to-day, you will :
Ensure employees are provided efficient and timely desktop and local infrastructure support across the organization
Provide professional and efficient IT support to our employees across different locations and time zones remotely
Manage, monitor, and respond to requests received through the IT Helpdesk in line with our agreed SLAs
Manage the companys IT environment, including infrastructure, computers, end-users, and permission management
Take part in projects that include testing and implementing new technologies, improving processes for smart/automated ones, and enhancing service with smart AI tools
Manage onboarding and offboarding processes for on-site and remote workers.