We are looking for an Engineering Team Lead to lead the MLOps efforts - drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.
You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.
Responsibilities:
Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.
Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.
Stay hands-on: contribute to design and code, review work, and set engineering standards.
Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.
Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.
Help evolve the platform, including our ongoing migration from Dask to Ray.

As a Senior Data Infra Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.

Your mission will be to:

Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.

We are seeking an experienced Algorithm Team Lead - Optimization to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.
The Price Optimization (PO) team is where insights become decisions. We work with large-scale customer data and market predictions - like demand forecasts - to drive revenue management decisions that actually move the needle.
At our core, we build and maintain the decision-making engine. That means designing the data pipelines that bring customer data in, and running it through an optimization engine that simulates the market - weighing competition, pricing constraints, inventory availability, predictive models, and each client's unique business policies - to generate the best possible price recommendations. As the final step before recommendations reach the client, quality, reliability, and attention to detail aren't just nice to have. They're everything.
You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.
Responsibilities:
Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve our data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.

We are looking for an experienced and hands-on ATE Engineer to design, develop, and maintain the data and software infrastructure supporting our Automated Test Equipment (ATE) environments. In this role, you will establish the database architecture, data pipelines, reporting tools, and infrastructure required for electronic card testing, system-level testing, and radar calibration of advanced radar systems. Key Responsibilities:
* Design and maintain the ATE database and software infrastructure.
* Develop data pipelines, APIs, and integrations for ATE systems.
* Build BI dashboards and reports for production and test data.
* Ensure data integrity, traceability, backup, and availability.
* Support deployment across production sites and secured networks.
* Collaborate with ATE, Production, IT, Quality, and Cybersecurity teams.

We are looking for Rockstar Senior ML Researcher to join our team. Its a great opportunity to join an innovative, interesting, and fast-growing startup that will change the world of risk assessments.
Responsibilities:
Lead the research and development of innovative machine learning models and algorithms.
Design and implement scalable data pipelines to support advanced data processing and analysis.
Develop robust, multilingual solutions for diverse market needs.
Oversee the entire lifecycle of platform development, from initial research to final delivery.
Provide technical leadership and mentor junior team members,

We are looking for a strong C++ / Python Software Developer to develop innovative software solutions in C++, Python, and C#.
In this role, you will own and develop an SDK that sits at the heart of our animal-monitoring products. This is a high-impact, cross-platform role, working closely with algorithms and turning computer-vision and inference capabilities into a reliable, well-documented developer platform.
We are looking for an engineer who cares about architecture, clean interfaces, performance, and long-term maintainability, with the ability to think fast, be innovative, work well as part of a team, and continuously learn.
Responsibilities:
Design, develop, test, and maintain the SDKs C++ core and its Python bindings, with a focus on performance, stability, monitoring, and a clean public API.
Package and distribute the SDK with semantic versioning and reproducible builds across platforms.
Collaborate with algorithm, product, and application teams to gather requirements, translate them into technical designs, and implement them.
Write and maintain unit and integration tests and build tooling that keeps the SDK reliable as it grows.
Conduct code reviews, identify and fix bugs, and continuously improve performance and code quality.
Write clear technical documentation and examples so that other developers can adopt the SDK quickly.
Work in an Agile environment, research independently, think outside the box, and drive problems through to solutions.

Were looking for an AI Algorithms Manager to lead the development of advanced algorithms in the telehealth domain, with a direct impact on how care is delivered and experienced.
In this role, youll lead a team of algorithm developers, drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems. The work focuses on developing AI capabilities in computer vision, signal processing and LLM domains to tackle complex challenges and turn them into reliable, production-ready solutions.
Key Responsibilities:
Lead algorithmic development end-to-end- from shaping the technical problem and defining data needs to development, architecture, validation, and implementation
Drive innovation and infrastructure initiatives to advance the solution in alignment with the latest scientific progress
Stay hands-on in research and development, actively contributing to core algorithms and solving complex technical challenges
Design, develop, and optimize models using machine learning, computer vision, and signal processing techniques
Guide the work of team members, providing technical directions, feedback, and support
Collaborate with cross-functional teams (engineering, product, clinical) during problem definition, solution design and smooth integration into production systems
Ensure robustness and reliability through proper evaluation, validation, and continuous improvement of models
Promote best practices in development, experimentation, and code quality.

DRS RADA Technologies , a leading defense company developing and manufacturing life-saving radar systems, is seeking a GNC & Simulation Engineer. ?Position Overview We are seeking an analytical and hands-on GNC & Simulation Engineer to pioneer the digital foundation of our interceptor platform. In this role, you will build the "digital twin" of our aerial vehicles from scratch, simulating system-level trade-offs before physical hardware is realized. You will design, implement, and validate flight control, navigation, and terminal guidance algorithms that enable small, high-speed assets to successfully intercept dynamic targets in challenging environments. Key Responsibilities System Trade Studies: Run algorithmic simulations to analyze system-level trade-offs to support systemic architectural decisions. GNC Algorithm Design: Design and implement robust algorithms terminal guidance laws (e.g., Proportional Navigation) for dynamic interceptions. Flight Data Analysis: Post-process and analyze telemetry data from flight tests to validate, calibrate, and continuously improve the predictive accuracy of the simulation models.

We are seeking a visionary Director of Engineering with a strong product mindset to lead the strategy, development, and scaling of our subscription management products.

As a Director of Engineering , you will...
Build, lead, and mentor multiple cross-functional teams of managers and developers to deliver a scalable and reliable product
Foster a culture of collaboration, automation, and continuous improvement within the engineering organization
Define and implement procedures and workflows that will enable rapid innovation while ensuring enterprise-grade quality of the delivered product
Own the AI enablement vision for your organization: identify where AI can meaningfully accelerate the software development lifecycle, build the roadmap, and drive hands-on execution
Act as a key partner to business stakeholders-product, sales, finance, and executive leadership-in translating business goals into engineering strategy and representing engineering priorities in company-wide decisions
Partner with engineering leaders, product teams, and business stakeholders to ensure successful product adoption by customers

DRS RADA is a global pioneer of radar systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. Join Our Team as a Project System Engineer at DRS RADA Technologies! DRS RADA Technologies is seeking a talented individual to join our team and contribute to the development of advanced radar-based electronic systems. About the job:
* Lead the development of advanced radar-based electronic systems
* Act as the primary point of contact for technical matters
* Collaborate with the R&D, engineering, and product teams to ensure timely delivery