Entrepreneurial mindset or experience working with startups or fast-paced teams. Engineering mindset and the ability to work cross-functionally with ML……
Research and/or work experience in a relevant field, such as machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern……
This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/……
The team works on every aspect of the conversational AI system, from making it agentic, enabling customers to set price alerts or empower the assistant to act……
KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI……
A Compute Platform Engineer II should be familiar with the tools of their specialization and of their customers and engaged with the open-source community……
Your internal customers are Prime Video development teams who rely on your solutions to reduce the time and effort spent responding to operational events.…
Build the measurement infrastructure for business experiments (A/B tests, weblabs), ensuring clean experiment data and statistically valid result datasets.…
You will own solutions end-to-end: from ideation and research through to production deployment, enabling conversational assistants to support external tools,……
A Sr. Compute Platform Engineer should be deeply familiar with the tools of their specialization and of their customers and engaged with the open-source……
You will contribute to the design of machine learning models that scale to large quantities of data and serve low-latency recommendations to all customers……
This role is highly focused on designing ML architectures for external customers. The global Field Engineering team members are Linux and cloud solutions……
Degree in Computer Science, Engineering, or related field + at least 2 years of relevant experience. Provide Level 1 and Level 2 operational support for HPC……
With audit clients of the firm, and also prohibitions on certain employment relationships (e.g., you are not permitted to hold a secondary employment role with……
2–3+ years recent experience in HPC and/or AI infrastructure, including GPU-based compute environments at scale. Uphold a culture of: do, document, automate.…
Understanding of Fixed Income products and derivatives. Under the leadership of the Chief Technology Officer, Rothesay has launched a multi-year project,……
Our many customers have performance-critical GPU compute use cases that include machine learning (ML), image processing & computer vision (CV), video encoding……
You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the……
Nordson Test & Inspection manufactures world-class metrology equipment and inspection systems to ensure electronic products are built to meet the highest……
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Lead the development of tightly coupled multiphysics models (thermal, structural, tritium transport, radiation, electromagnetics, and materials behaviour) to……
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The core role of the TIPM is to deliver capacity for our customers through developing delivery programs and working closely with stakeholder teams to identify……
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Take full ownership of deliverables, driving work through from design to production. Proficiency with modern data science toolchains, including Jupyter, pandas,……
We are looking for a Fullstack Software Engineer to join our team and help build robust,
scalable systems that bring our state-of-the-art generative AI systems to the wider audience.
This fullstack role has a strong backend emphasis, requiring deep experience in server-side
architecture, API design, distributed systems, and frontend frameworks, along with a solid
engineering mindset and the ability to work cross-functionally with ML engineers, product,
research, and creative teams.
As a member of our fullstack engineering team, you’ll shape core infrastructure, set best practices, communicate with stakeholders and mentor your peers. We are hiring remotely across the EMEA region.
Key Responsibilities
Design and implement scalable backend architectures for AI-powered creative tools
and workflows.
Build high-performance APIs and microservices that handle generative AI
inference/training and video/audio processing.
Design and implement user interfaces that make complex generative AI capabilities intuitive and accessible.
Develop robust data pipelines for ingesting, processing, and storing large-scale media content.
Design and maintain database schemas, caching layers, and data storage solutions for multimedia content.
Build authentication, authorisation, and security systems for enterprise-grade applications.
Optimise backend performance for low-latency AI inference and high-throughput media processing.
Integrate backend systems with ML training and inference pipelines.
Implement monitoring, logging, and alerting systems for production backend services.
Collaborate with ML engineers to optimise model serving and deployment infrastructure.
Must Haves
5+ years of experience in fullstack software development.
Strong expertise in server-side programming languages (we use Python).
Proven experience designing and implementing RESTful APIs and microservices
architectures.
Proficiency in modern JavaScript/TypeScript and at least one major frontend
framework (React, Vue.js, or Angular).
Deep understanding of database design, optimisation, and management
(PostgreSQL, Neo4j, Redis).
Experience with cloud platforms (AWS, GCP, Azure) and infrastructure as code
(Terraform).
Proficiency with containerisation and orchestration technologies (Docker,
Kubernetes).
Strong knowledge of distributed systems, message queues, and event-driven
architectures.
Experience with high-performance computing, parallel processing, and optimisation
techniques.
Familiarity with CI/CD pipelines, automated testing, and DevOps practices.
Understanding of system design principles, scalability, and performance optimisation.
Experience with caching strategies, load balancing, and CDN implementation.
Experience with CSS frameworks and responsive design.
Strong problem-solving skills and attention to detail.
Nice to Have
Experience with ML and/or computer vision frameworks like PyTorch, Numpy or OpenCV.
Knowledge of ML model serving infrastructure (TensorFlow Serving, TorchServe, MLflow).
Knowledge of WebGL, Canvas API, or other graphics programming technologies.
Familiarity with big data technologies (Kafka, Spark, Hadoop) and data engineering practices.
Background in computer graphics, media processing, or VFX pipeline development.
Experience with performance profiling, system monitoring, and observability tools.
Understanding of network protocols, security best practices, and compliance requirements.
Open-source contributions or technical writing experience.
Entrepreneurial mindset or experience working with startups or fast-paced teams.