Convert Your Best Accounts Faster

Madison Logic

Sr. Data Engineer

Sr. Product Manager

Sr. Data Scientist

Sr. Product Designer

Sr. Backend Engineer

Sr. Frontend 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

Sr. Partner Innovation and Engagement Manager

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

<div id="content" class="">
 <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.
<a class="privacy-link" href="https://inworld.ai/jobs-privacy" target="_blank">Inworld Jobs Privacy</a>

 

 
</div>

Madison Logic seeks a Senior Data Engineer to design, build, and deploy scalable data pipelines, develop APIs for machine learning products, and refine data models.  Responsibilities include writing production-level SQL and Python code, adapting data schemas, conducting data analysis, identifying data sources, establishing data procedures, and collaborating with various teams.  The ideal candidate possesses strong experience in Python, SQL, AWS, data architecture (Kafka, Data Warehouses, ODS), cloud-based analytics (Snowflake, AWS SageMaker), and data workflow management (Airflow preferred).

<div class="jobs-box__html-content jobs-description-content__text t-14 t-normal
 jobs-description-content__text--stretch" id="job-details" tabindex="-1">
 <h2 class="text-heading-large">
 About the job
 </h2>

 <div class="mt4">
 
 About Madison Logic: Our team is reshaping B2B marketing and having fun in the process! When joining Madison Logic, you are committing to giving 100% and always striving for more. As a truly global company, we take pride in a diverse culture free from gender, racial, and other forms of bias. Our Vision: We empower B2B organizations globally to convert their best accounts faster Our Values: URGENCY Lead with Action. Prioritize Follow-up. ACCOUNTABILITY Don't Point Fingers. Take Responsibility. INNOVATION Think Big. Innovate. RESPECT Respect Customers. Respect Each Other. INTEGRITY Act Ethically. Lead by Example. At ML you will work with &amp; learn from an incredible group of people who care about your success as much as they care about their own. Our team is at the heart of what we do and our success starts with you! About the Role: We are currently seeking a Senior Data Engineer to play a crucial role in shaping the future of our data and analytics capabilities. As a Senior Data Engineer at Madison Logic, your responsibilities will include designing, constructing, and deploying scalable data pipelines. Additionally, you will be responsible for developing APIs that will empower our machine learning products and features. Your expertise will be invaluable in refining data models across various components of our data infrastructure to accommodate the growing demands of data processing and analytics at Madison Logic. In this highly collaborative position, you will closely collaborate with product, engineering, and data teams to achieve our business objectives. Responsibilities: <ul><li>Develop and maintain the core data pipelines, involving the creation of production-level SQL and Python code to fuel our platforms.</li><li>Adapt and enhance data models and data schemas to align with both business and engineering requirements.</li><li>Conduct data analysis to contribute to the enhancement of overall business performance.</li><li>Identify and select optimal data sources for specific analytical tasks.</li><li>Establish procedures for data mining, data modeling, and data production.</li><li>Collaborate with internal and external partners to address challenges and ensure successful outcomes. </li></ul>
Basic Qualifications: <ul><li>Ability to work UK Shift Timing (11:00am – 8:00pm Local Time) Required</li><li>Fluent in English language (verbal and written) and possessing a clear and concise communication style.</li><li>Educational Background: Possess a Bachelor's degree in computer science, statistics, or mathematics.</li><li>Programming Expertise: 8+ years of experience with Python, with the ability to write production-level code.</li><li>SQL Proficiency: 8+ years of experience in SQL, with excellent skills in navigating multiple data tables and comprehending data models.</li><li>Cloud Computing: 5+ years of hands-on experience with cloud computing services, particularly AWS (Amazon Web Services).</li><li>Data Architecture: Proven experience in designing data architectures, including Kafka, Data Warehouses and Operational Data Stores (ODS).</li><li>Cloud-Based Analytics: Possess a strong understanding of cloud-based analytics platforms, such as Snowflake and AWS SageMaker.</li><li>Data Workflow Management: Ideally, possess at least 1 year of experience with data workflow management tools, with Airflow experience being a plus.</li><li>Data Cleaning: Be skilled in data cleaning and standardization processes.</li><li>SQL Engine: Exhibit an excellent understanding of SQL engines and the capability to perform advanced performance tuning. </li></ul>
Desired Characteristics: <ul><li>Self-Sufficient and proactive nature, able &amp; comfortable "figuring things out", resorting to escalation only when after exhausting all other options</li><li>Strong sense of urgency required</li><li>Exceptional communication skills, both verbal and written, with a knack for explaining complex concepts in a clear &amp; concise manner across all levels and functions</li><li>Team members are encouraged to work collaboratively with an emphasis on results, not on hierarchy or titles. </li></ul>
India-Specific Benefits <ul><li>5 LPA Medical Coverage</li><li>Life Insurance</li><li>Provident Fund Contributions</li><li>Learning &amp; Development Stipend (Over-And-Above CTC)</li><li>Wellness Stipend (Over-And-Above CTC)</li><li>Transportation available for female team-members with shifts starting or ending between the hours of 9:30pm and 7:00am</li><li>Welcoming in-office environment (located within AWFIS co-working space, Amanora Mall)</li><li>Team members are encouraged to work collaboratively with an emphasis on results, not on hierarchy or titles. </li></ul>
₹23,00,000 - ₹27,00,000 a year Expected Compensation: (Dependent upon Experience) Fixed CTC: 23 LPA - 27 LPA Work Environment: We offer a mix of in-office and hybrid working. Hybrid remote work arrangements are not available for all positions. Please refer to the job posting detail to determine what in-office requirements apply. Where applicable, hybrid WFH days work must be conducted from your home office located in a jurisdiction in which Madison Logic has the legal right to operate. WFH requires availability and responsiveness on a full-time basis from a distraction free environment with access to high-speed internet. Please inquire for more details. Pay Transparency/Equity: We are committed to paying our team equitably for their work, commensurate with their individual skills and experience. Salary Range and additional compensation, including discretionary bonuses and incentive pay, are determined by a rigorous review process taking into account the experience, education, certifications and skills required for the specific role, equity with similarly situated team members, as well as employer-verified region-specific market data provided by an independent 3rd party partner. We will provide more information about our perks &amp; benefits upon request. Our Commitment to Diversity &amp; Inclusion: Madison Logic is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of sex, race, color, religion, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. Privacy Disclosure: All of the information collected in this form and/or by your application by submission of your online profile is necessary and relevant to the performance of the job applied for. We will process the information provided by you in this form, your CV (including physical and online resume profiles), by the referees you have noted, and by the educational institutions with whom we may undertake to verify your qualifications with, in accordance with our privacy policy and for recruitment purposes only. For more information on how we process the information you have provided including relevant lawful bases (where relevant) please see our privacy policy which is available on our website ( https://www.madisonlogic.com/privacy/ ).
 
 </div>
 </div>