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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.

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 <div class="content-intro"><a id="roles_button" href="https://inworld.ai/careers#job-openings">view open roles</a>
<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.
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The TBM (Apptio) Manager oversees the successful deployment and integration of Apptio solutions for clients.  This involves managing project timelines, coordinating cross-functional teams, and ensuring implementations meet client requirements and best practices.  The role requires translating functional and business requirements into technical designs, leading the design and configuration of TBM models and dashboards, and working with stakeholders to manage operations and TBM adoption.  Experience with the TBM value management framework and IT cost reduction initiatives is crucial.  Responsibilities include leading project teams, managing client relationships, and conveying complex technical concepts to non-technical stakeholders. Strong analytical and problem-solving skills, proficiency in financial management, and advanced knowledge of IT cost are essential.

FS-RISK CONSULTING-EY COMPLY and RVS-FULL STACK DEVELOPER-SENIOR

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 At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. TBM-Apptio-Manager Position description <ul><li>TBM(Apptio) Manager will be responsible for overseeing the successful deployment and integration of Apptio solutions for our clients</li><li>This role involves managing project timelines, coordinating with cross-functional teams, and ensuring that the implementation meets client requirements and industry best practices.</li><li>The candidate should have a strong background in IT financial management and a proven track record of leading complex TBM implementations.</li><li>Understand functional and business requirements from either the client or EY engagement team and translate into a technical design, which meets customer needs, provides maximum solution value, and is within scope of Technology Business Management tools.</li><li>Lead design, development and configuration of Technology Business Management models and dashboard in TBM solutions</li><li>Work closely with key stakeholders to manage operations, change management and TBM adoption</li><li>This role requires experience with TBM value management framework and associated use cases to drive IT value management topics with the client </li></ul>
Business Qualifications <ul><li>Demonstrated ability to lead project teams and manage client relationships</li><li>Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders</li><li>Strong analytical and problem-solving skills, with a focus on delivering client-centric solutions</li><li>Proficiency with financial management practices and principles within the IT sector</li><li>Strong understanding of financial concepts such as General Ledger, CapEx, OpEx, Actuals, Budget and Forecast</li><li>Advanced knowledge of IT Cost (TCO for Applications, Projects and Services)</li><li>Very good understanding of Operational data supporting IT (Labor, Timesheet, Projects etc.) and IT Infrastructure concepts such as Server, Storage, Virtualization, Database and Network</li><li>Experience with IT Cost reduction/IT Value management initiatives is preferred </li></ul>
Technical Qualifications <ul><li>8+ Years of experience in leading TBM solutions implementations - IT Planning, Cost Transparency, Bill of IT, Cloudability</li><li>In-depth knowledge of Apptio products and solutions, including TBM (Technology Business Management) methodologies</li><li>Proficiency in data analysis, financial modeling, and reporting tools</li><li>Experience with integrating Apptio with other enterprise systems and data sources </li><li>Ability to customize Apptio solutions to meet specific client needs and requirements </li><li>Good project management skills, including the use of tools like JIRA, Azure DevOps or similar </li></ul>
Basic Qualifications <ul><li>Bachelor’s degree in computer science, Information Technology, Finance, or a related field </li><li>Relevant certifications such as Apptio Recognized TBMA, PMP, or ITIL are preferred </li><li>Team player with solid communication and presentation skills</li><li>Experience with other ITFM solutions, IT cost topics (IT cost reduction, cloud cost management, FinOps etc.) are preferred</li><li>Knowledge of enterprise IT organizational, business, and technical environments</li><li>Ability to cross train and upskill with broader technology transformation offerings </li></ul>
EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
 
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