Founded in 1976 Travelex has grown to become one of the market leading specialist providers of foreign exchange products, solutions and services, operating across the entire value chain of the foreign exchange industry in more than 20 countries. We have developed a growing network of over 1,550 sites, including stores and ATMs, in some of the world’s top international airports and in major transport hubs, premium shopping malls, high street locations, supermarkets and city centres.

Travelex

Cloud Engineer

Lead Data Scientist

EUC Technical Engineer

Inworld AI

Staff / Principal AI Researcher - USA

Staff / Principal AI Researcher - Canada

DNEG

Organic Modeller

Senior Release Manager

Bit Reactor, LLC

SENIOR UI/UX DESIGNER

The Embassy

Compositor

Push Gaming

Account Manager

PlayStation Global

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Wildlight Entertainment

Senior VFX Artist

Inworld seeks Staff and Principal AI Researchers to conduct cutting-edge research, develop and implement novel machine learning techniques, train large-scale models, and collaborate with cross-functional teams.  Responsibilities include experimenting with new architectures and algorithms, optimizing models for quality and latency, and communicating research findings internally and publicly.  The role requires a PhD or equivalent experience in a related field, a strong background in machine learning research, and proficiency in ML frameworks like PyTorch and TensorFlow.  Experience with large model training and advanced AI architectures is crucial. The role involves mentoring junior researchers and contributing to the broader AI community.

Staff Platform Engineer - USA

Staff Platform Engineer  - Canada

Forward Deployed Engineer (AI Gameplay Engineer) - Japan

Staff Cloud DevOps/Site Reliability Engineer (SRE) - Canada

Staff / Principal Machine Learning Engineer - USA

Senior Unreal Engine Developer - USA

Senior Unreal Engine Developer - Canada

Staff / Principal Machine Learning Engineer - Canada

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<h3>Why Join Inworld</h3>
Inworld is the best-funded startup in AI and games with a $500 million valuation and backing from top tier investors including Intel Capital, Microsoft’s M12 fund, Lightspeed Venture Partners, Section 32, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, and First Spark Ventures.
Inworld is the leading AI engine for games and interactive media. Inworld’s suite of AI components enables developers to build interactive, responsive, and personalized AI gaming experiences, orchestrate models to create intelligent game behaviors, and unlock enhanced productivity with AI-generated content. Inworld powers experiences built by Ubisoft, NVIDIA, Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft Xbox, Epic Games, and Unity.&nbsp;
Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world in 2024 and was also named among LinkedIn's Top Startups of 2024 in the USA.</div>

 We are seeking Staff and Principal level AI Researchers with extensive experience in researching, designing, and implementing machine learning models and algorithms. You will be at the forefront of advancing our AI capabilities by developing state-of-the-art models and contributing to cutting-edge research in artificial intelligence. Your work will involve exploring novel ideas, training large-scale models, and collaborating closely with other researchers and engineers to push the boundaries of what's possible in AI.
<h3>Qualifications</h3>
<ul>
<li>PhD or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.</li>
<li>Strong background in machine learning research, demonstrated by publications or significant contributions to the field.</li>
<li>Experience in training large models and working with state-of-the-art approaches in machine learning.</li>
<li>Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX.</li>
<li>Knowledge of advanced AI architectures, including transformers, diffusion models, and reinforcement learning techniques.</li>
<li>Programming skills in Python or similar languages.</li>
<li>Familiarity with pre-training, fine-tuning and evaluating LLMs such as LLaMA, Mistral, Qwen, etc., is a significant plus.</li>
</ul>
<h3>You May Be a Good Fit If You Have</h3>
<ul>
<li>Have a track record of innovating and improving machine learning algorithms.</li>
<li>Are passionate about understanding and developing model architectures, and enjoy performing careful empirical research.</li>
<li>Own and pursue a research agenda, choosing impactful problems and autonomously carrying out long-term projects.</li>
<li>Enjoy collaborating in a team environment, working together to make significant discoveries.</li>
<li>Are excited about staying up-to-date with the latest advancements in machine learning research and its applications.</li>
<li>View research and engineering as two sides of the same coin, engaging in both to achieve your goals.</li>
</ul>
<h3>Responsibilities</h3>
<ul>
<li>Conduct cutting-edge research to advance our AI models and capabilities.</li>
<li>Develop and implement novel machine learning techniques, experimenting with new architectures and algorithms.</li>
<li>Train and evaluate large-scale ML models, optimizing for quality, latency and cost.</li>
<li>Collaborate with cross-functional teams, sharing insights and integrating research findings into our products.</li>
<li>Communicate results internally and publicly, contributing to the broader AI community.</li>
<li>Mentor junior researchers and engineers, fostering a culture of learning and collaboration.</li>
</ul>
<h3>Representative Projects</h3>
<ul>
<li>Exploring the impact of new attention mechanisms within transformer architectures to improve model quality and latency.</li>
<li>Investigating methods for 3D animation synthesis by performing ablation study to thoroughly compare diffusion vs flow-matching based approaches.</li>
<li>Developing algorithms for on-device AI, optimizing transformer-based models for specific hardware constraints.</li>
<li>Researching and implementing techniques for creating new AI voices, enabling developers to generate and use them at runtime.</li>
</ul>
In-office location: Mountain View, CA, United States.
Remote location: United States.
The US base salary range for this full-time position is $240,000 - $385,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.
<a class="privacy-link" href="https://inworld.ai/jobs-privacy" target="_blank">Inworld Jobs Privacy</a>

 

 
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The Cloud Engineer will be responsible for building and managing cloud-based infrastructure using DevOps and Infrastructure as Code practices. This role will involve designing, building, and implementing technical solutions to migrate to the cloud. Responsibilities include building infrastructure services for various product lines, creating preventative solutions to reduce support incidents, deploying infrastructure features to production and fixing production infrastructure bugs, reviewing and identifying ways to improve performance and stability of cloud services and applications through continuous improvement and automation, participating in sprint planning and utilizing Jira, collaborating with the Cloud-DevOps Manager to promote skills across the team, contributing to knowledge asset building using Confluence, managing backlog and grooming with the Cloud-DevOps Manager, participating in daily stand-ups and unblocking team members with technical guidance or external dependency management, conducting sprint retrospectives focused on continuous improvement, ensuring visibility of actions taken by the scrum master, demonstrating work to consuming teams, generating weekly reports, and focusing on gradually improving the scrum team's velocity.

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 Role purpose The candidate will be responsible for build and manage cloud based infrastructure using Devops and “Infrastructure as a code” practices. Reporting into the Infrastructure Services Technical Manager, he/she will be responsible for the design, build and implementation of technical solutions working towards migrating to the Cloud. What You Will Be Doing <ul><li>Build the infrastructure services for different product lines with in travelex using cloud computing tools</li><li>Building the pre-emptive solutions to reduce support incidences</li><li> Working on Releasing infrastructure features on to production and fix the production infrastructure bugs</li><li>Review and identify ways to improve performance and stability of services and applications running on Cloud Infrastructure through continuous improvement and automation </li><li>Running Sprint Planning and familier with JIRA.</li><li>Would work with Cloud-Devops Mgr. to promote breadth of skills across the team members. </li><li>Would focus on knowledge asset build up through confluence. </li><li>Backlog management and grooming with Cloud-DevOps Manager</li><li>Daily Standup with responsibility of unblocking team members either with technical direction or external non-technical dependency management. </li><li>Sprint retro with focus on continuous improvement sprint by sprint.. Actions taken by scrum master should be visible.</li><li>Conduct demo with all teams consuming Cloud-DevOps work.</li><li>Weekly reporting </li><li>Focus on Gradual improvement of velocity of scrum team. </li></ul>
What We Are Looking For <ul><li>4+ Years of experience on AWS </li><li>Operational knowledge in Docker containers and Orchestration of containers on AWS using ECS and FARAG </li><li> Knowledge on configuration and management of AWS Elastic load balancer </li><li>Hands on exposure to building containers using scripts ( Docker file , Docker compose) </li><li>Knowledge about AWS RDS, S3 ,IAM </li><li> Experience in using IAC tools like terraform or Cloud formation and Ansible</li><li>Understanding and implementation of cloud trail / cloud watch monitoring tools</li><li>Working knowledge on CI/CD for web based and Client applications</li><li>Experience with source controlled systems like Git and knowledge of PowerShell scripting</li><li>Strong Experience with Scrum Delivery Process.</li></ul>

 
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