Responsibilities:

• Design and develop production-grade, end-to-end ML systems — encompassing automated data ingestion, feature extraction, model training, inference, recommendation engine, deployment, and monitoring.
• Refactor and harden Python-based ML and optimisation codebases into clean, modular, and easily testable services.
• Apply object-oriented principles and design patterns to create clean, reusable ML components.
• Collaborate with data scientists to translate research code into production-ready solutions.
• Develop test strategies and CI/CD workflows for ML components.
• Own the quality and reliability of ML services in production environments.
• Work with AI teams to adopt modern MLOps practices, including ML lifecycle management, monitoring, and deployment automation.

Requirements & Skills:

• 8+ years of professional experience as a software engineer, with a strong track record in building scalable, reliable, and maintainable systems.
• A degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• Proven experience in working with ML systems or data engineering pipelines.
• Strong knowledge of object-oriented programming principles, design patterns, and software architecture.
• Expert-level proficiency in Python programming, along with ML frameworks and numerical computing tools (e.g., Pandas, Polars, Scikit-learn, PyTorch, TensorFlow, SciPy), and the ability to optimise models and code for speed and accuracy.
• Experienced with data orchestration tools such as Kedro, Airflow, or Dagster for developing data/ML pipelines.
• Practical experience in deploying ML models to production, with a strong understanding of core MLOps concepts including version control, CI/CD pipelines for ML, automated testing, monitoring, and end-to-end model lifecycle management.
• Proficient with containerisation and orchestration tools like Docker and Kubernetes.
• Practical experience with cloud platforms for data and ML (e.g., AWS, Azure, GCP) — AWS/SageMaker/MLflow is a plus.
• Background in mining, industrial applications, or resource-focused ML environments is desirable.

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Responsibilities:

• Maintain and improve the software individually and collaboratively within a team of engineers
• Work directly with technical and non-technical artists to support their use of Pixar’s proprietary filmmaking software
• Identify, triage, debug, and resolve time-sensitive issues affecting production artists
• Partner with graphics research scientists to implement experimental technology and explore new and innovative ways to meet the software needs of our artists
• Work comfortably within a sophisticated, multi-layered technology pipeline

Requirements & Skills:

• Demonstrated experience with and strong understanding of modern C++ and the STL, with at least five years of professional experience
• Bachelor’s Degree in Computer Science or equivalent formal training
• Strong software engineering skills, including familiarity with software design principles, performance optimization, and testing
• Strong problem-solving and communication skills with high attention to detail

Highly qualified candidates may have:

• Familiarity with the mathematics of computer graphics, such as linear algebra as used to represent spatial transformations, and parametric curves and surfaces
• Familiarity with established graphics concepts such as subdivision, tessellation, mesh topology, and bounding hierarchies
• Experience with multithreaded and GPU programming
• Experience with professional 3D DCC applications (e.g., Maya, Houdini), USD, Qt, and Linux
• Experience working within VFX or animation production environments

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Responsibilities:

• Develop and implement advanced data models and algorithms to optimize TV/CTV delivery and attribution, including relevance and ranking, and multi-touch/cross-channel attribution.
• Build predictive models to forecast user behavior and campaign outcomes, demonstrating machine learning techniques such as regression, classification, and clustering.
• Design and implement data models and innovative algorithms on high-dimensional, fast-paced, unstructured, and structured data.
• Collaborate with multi-functional teams to craft and implement experiments aimed at improving advertising delivery and relevancy scoring, and ROAS.
• Analyze large datasets to identify trends, patterns, and insights related to TV/CTV advertising performance.
• Apply advanced statistical methods to evaluate the efficiency of advertising campaigns and recommendations.
• Develop methodologies to monitor and visualize advertising performance metrics, providing actionable insights to partners.
• Run large-scale statistical A/B testing to evaluate the performance of machine learning and statistical models in advertising applications.
• Stay ahead of industry trends and emerging technologies in TV and CTV advertising, applying new methodologies to drive continuous improvement.

Requirements & Skills:

• Master’s degree or equivalent experience or higher in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience (5+ years) working as a Data Scientist.
• Preferably, experience in the media or advertising industry.
• Proficiency in programming in Python with experience using data analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Programming in R will be an advantage.
• Understanding various databases and data warehouse concepts, experience with designing databases, and strong practical knowledge of SQL.
• Expertise in data manipulation, cleaning, and preprocessing techniques, particularly with large-scale datasets.
• Experience with big data technologies and platforms such as Hadoop, Spark, or Hive
• Experience with cloud provider(s): AWS, GCP, and/or OCI.
• Experience with TV/CTV advertising platforms, including knowledge of ad-serving technologies, audience targeting, and campaign optimization.
• Experienced with end-to-end modeling projects emerging from research efforts.
• Deep understanding of machine learning algorithms and techniques, with a focus on relevancy scoring and attribution modeling.
• Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Strong communication and collaboration skills, with the ability to work optimally in a multi-functional team environment.
• Self-motivated and proactive, with a passion for using data to achieve excellence.
• Plus, if you have experience in online advertising, recommender systems, ranking, e-commerce, or other areas.

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Responsibilities:

• Development, validation, and debugging of IoT hardware platforms
• Work with and validate hardware functionality based on data sheets, schematics, and Printed Circuit Board designs
• Management of logistics to source and deploy IoT technologies
• Embedded software development for low-power embedded devicesData collection from high-frequency time-series and image-based sensors
• Low-power wireless communication protocols such as Bluetooth Low Energy, LoRa, LTE
• Embedded analytics software, including machine learning
• Web- and smartphone-based graphical user interface for live sensor data visualisation
• Generation of high-quality ground truth data sets for algorithm improvement
• Communicate effectively and respectfully with all staff, clients, and suppliers in the interests of good business practice, collaboration and enhancement of CSIRO’s reputation.
• Work as part of a multi-disciplinary, often regionally dispersed research team, to carry out tasks under limited direction in support of scientific research.
• Adapt and/or develop original experimental methods/equipment/software/concepts/ ideas in support of existing and further research.

Requirements & Skills:

• Proficiency in developing applications for low-power embedded devices (e.g., Nordic NRF52), with experience in embedded operating systems such as Zephyr or FreeRTOS.
• Experience in developing software for embedded Linux devices (e.g., Raspberry Pi, Beaglebone, or Jetson devices).
• Demonstrated expertise in implementing and deploying low-power wireless networks, including BLE, 802.15.4, LoRaWAN, LTE-M, and NB-IoT.
• Experience with PCB design software (e.g., Altium Designer or equivalent) for designing and/or reviewing schematics and PCB layouts.
• Proven ability to work effectively as part of a multidisciplinary, regionally dispersed research team and to carry out tasks under general direction from Scientific Researchers.
• Willingness and ability to contribute novel ideas and approaches to support scientific investigations.
• Experience with field-testing IT systems, including user studies, field experiments, analysis of field trial data, and in-situ debugging.
• Experience designing user interfaces for interacting with embedded devices (e.g., web or phone apps).
• Familiarity with 3D CAD modelling tools (e.g., SolidWorks).

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Responsibilities:

• The candidate in this role will build financial technology products and services to meet the needs of BlackRock and our clients.
• The candidate will develop software using a host of languages and open-source technologies, including Java, C++, Python, Cassandra, Kafka, Docker, Solr, etc., and will take ownership of projects and watch your creations be released to thousands of users.
• Additionally, the person in this role works closely with senior engineers, developing specific parts of the Aladdin platform NS collaborates with users and the product team to design new features.
• The application engineer gains a broad understanding of the investment process and the capabilities of Aladdin and Collaborates with colleagues to build innovative products during firm-wide hackathons.

Requirements & Skills:

• Bachelor’s degree in information technology and Analytics, Computer Science, Computer Engineering, or related field.
• Two (2) years+ of experience as a Software Engineer, Software Development Engineer, Software Engineer, or related role.
• Two (2) years+ of experience:
  • Writing clean and maintainable software code.
  • Data structures and algorithms; Applying design patterns; Java/C++ programming languages a must; Spring, SQL.
  • Agile development methodology.
  • Building applications in a multi-threaded environment.
  • Distributed systems and storage technologies such as Cassandra, Redis, and relational databases.
  • Testing technologies, such as Cucumber or similar frameworks.
  • Working on applications using Spring, Spring Boot, and Hibernate.

The post Application Engineer, BlackRock appeared first on AI Jobs Latest.

Responsibilities:

• Contribute to the next generation trading platform we are building. It is a great opportunity to work on scaling software towards a high volume of transactions – we frequently transact £1bn+ and serve millions of quotes.
• Design, build and maintain core FX trading capabilities. Our customers value us for being able to abstract away the intricacies of the foreign exchange market under a simple API solution.
• Provide technical guidance and mentorship to team members.
• Influence wider company architecture. The FX Core team has historically contributed to many technical initiatives adopted by other teams.
• Work alongside QA engineers, who build and maintain a vast collection of automated testing scenarios.

Requirements & Skills:

• Genuinely interested in the intersection of the finance domain and technology. Desire to become a subject matter expert.
• A self-starter who takes accountability for getting things done.
• Passionate about growing others while growing yourself. An interest in continuous improvement and helping engineers understand the big picture.
• Pragmatism in decision making and the ability to get buy-in for ideas and get them done.
• Top-notch stakeholder management skills, including the ability to influence colleagues in small, cross-functional scrum teams.
• Exceptional structure and attention to detail.
• Comfortable challenging the status quo and always curious about the way things work.
• Be a learner – constant drive to learn new technologies such as databases, programming languages, and infrastructure tooling.

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