Research Engineer

HybridUnited States

San Francisco, California, United States

About the opportunity

We are actively seeking a Research Engineer specializing in Machine Learning and AI to play a pivotal role in pioneering advanced solutions. In this role, you will lead end-to-end research projects and contribute technical expertise to build scalable systems, all within the innovative landscape of generative media applications.

Company Introduction

.Erth is an incubation studio with a dynamic platform empowering creators, encouraging self-expression, and enabling users to take ownership of their creations. Founded by seasoned industry veterans and serial entrepreneurs with expertise from Zynga, Facebook, Microsoft, Marvel, PlayStudios, and Big Fish Games. While our core team is primarily in San Francisco and New York City, we are open to qualified San Francisco/Bay Area hybrid candidates who thrive in a collaborative and evolving environment.

Job Responsibilities

Lead and manage end-to-end machine learning research projects, ensuring alignment with strategic business goals from conceptualization to deployment.

Design, and develop machine learning systems.

Create advanced machine learning algorithms using frameworks like JAX, PyTorch, and TensorFlow, particularly for generative media applications.

Collaborate with cross-disciplinary teams to apply machine learning insights and enhance product offerings.

Utilize rigorous testing and iterative improvement processes to optimize the performance and accuracy of machine learning models.

Stay abreast of the latest AI research trends and technologies to guide and innovate future projects.

Requirements

Minimum of 3-5 years of hands-on experience in machine learning model development, with expertise in JAX, PyTorch, and TensorFlow.

Demonstrated capability to independently lead research projects with end-to-end responsibility.

Deep understanding of ML and AI, focusing on building scalable solutions for large-scale data processing and model training.

Strong problem-solving skills and the ability to collaborate effectively within a multidisciplinary team environment.

Candidates must either possess a Ph.D. or be actively pursuing one

Experience with low-level optimizations, such as CUDA kernel programming, is highly regarded but not mandatory.

Nice to have

Experience with LLMs and imaginative generative AI.

Participation in research projects/papers, especially if cited in the field of generative AI and/or ML.

Other Information

Successful candidates for this position can expect a competitive salary within the range of $120,000 to $200,000, commensurate with experience and qualifications.

Please note that this role will require occasional in-office work in the San Francisco/Bay Area. We believe in fostering collaboration and connection among our team members, and periodic in-person engagement contributes to the overall success of our projects. We appreciate your understanding and flexibility in this regard. Join us in our journey to create a fulfilling and rewarding professional experience.

In addition to a competitive salary structure, we offer a comprehensive benefits package, including health, dental, and vision coverage.

Employees will have the opportunity to participate in the CalSavers retirement program, contributing to their long-term financial well-being.

Additionally, our organization recognizes the importance of work-life balance and provides generous perks such as unlimited Paid Time Off (PTO), ensuring our team members can recharge and maintain a healthy work-life equilibrium.

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Research Engineer

About the opportunity

Company Introduction

Job Responsibilities

Requirements

Nice to have

Other Information

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