Senior Deep Learning Engineer

Senior Deep Learning Engineer

Senior Deep Learning Engineer

Senior Deep Learning Engineer

Full Time

/

Nice, France

/

Solaya

Full Time

/

Nice, France

/

Solaya

Full Time

/

Nice, France

/

Solaya

Full Time

/

Nice, France

/

Solaya

About Solaya:

Backed by NVIDIA, in partnership with INRIA, Solaya is a 3D and GenAI content production platform that is revolutionizing the way businesses create and distribute digital content. Our innovative platform combines cutting-edge 3D modeling and generative AI technologies to streamline content production workflows and empower brands to deliver high-quality, engaging content faster and more efficiently than ever before.

About the role:

Mindset. We hire people for their mindset. We want to work with missionaries, not mercenaries and believe in the long term when it comes to relationships. We value trust and strong values. We are looking for star chasers that actively seek to learn and continuously progress.

As a Senior Machine Deep Engineer at Solaya, you’ll be responsible for designing, developing, and deploying advanced machine learning algorithms and models to solve complex problems in computer vision and image processing. You’ll work closely with a talented team of engineers and researchers to create and iterate on state-of-the-art solutions that meet our platform’s needs.

Key Responsibilities:

  • Design and develop advanced machine learning algorithms and models using Python, PyTorch, and other frameworks.

  • Optimize and improve existing machine learning models for scalability and performance.

  • Collaborate with other engineers and researchers to create innovative solutions for computer vision and image processing tasks.

  • Write clean, efficient, and well-documented code while following best practices and coding standards.

  • Perform code reviews, testing, debugging, and documentation as needed.

  • Developing lighting estimation algorithms in MR applications.

  • Developing 3D generation algorithms in MR applications.

  • Staying updated with the latest research in 3D vision and graphics, and contributing to patent writing

Qualifications and Skills:

  • Master’s or Ph.D. degree in Computer Science, Deep Learning, Engineering, Mathematics, or a related field.

  • Strong experience with Python and its ecosystems, such as PyTorch, NumPy, and Pandas.

  • Experience with NeRF and Gaussian Splatting 

  • 1 or 2 years experience in NeRF/Gaussian Splatting.

  • Expertise in advanced computer vision and deep learning concepts, including convolutional neural networks (CNNs), transfer learning, and generative adversarial networks (GANs).

  • Experience with GPU programming and libraries such as TinyCuda and OpenGL.

  • Familiarity with Docker containerization and deployment.

  • Experience with software development methodologies like Agile, Scrum, and version control tools such as Git.

  • Strong communication, collaboration, and problem-solving skills.

  • Ability to work independently and collaboratively in a fast-paced environment.

  • Good understanding of indoor and outdoor lighting estimation algorithms (e.g., DeepLight, Lighthouse), real-time rendering algorithms like IBL and spherical harmonics lighting.

  • Good understanding of the latest developments in 3D generation, experience in projects such as 2D lifting (DreamFusion), multiview diffusion (Zero123), and large-scale 3D generative models (LRM/PF-LRM).

  • Publications at top conferences/journals in computer vision, computer graphics, or machine learning is a real plus

Preferred Qualifications :

  • Prior experience in building and deploying production-ready machine learning systems.

  • Expertise in other areas of machine learning, such as natural language processing (NLP) and reinforcement learning.

  • Experience with CI/CD pipelines and DevOps practices.

  • Familiarity with cloud computing platforms like AWS, Google Cloud, or Azure.

What we offer:

  • Competitive compensation package with equity options.

  • An opportunity to work on cutting-edge technology and shape the future of machine learning, Gaussian Splatt, NeRF in content production.

  • A dynamic, innovative, and inclusive work environment.

  • Flexible work arrangements and professional development opportunities.

To apply:

If you are interested in this position, please send your resume, cover letter, and any relevant work samples or portfolio links to mariem@solaya.ai with the subject line "Senior Deep Learning Engineer." We appreciate your interest and look forward to reviewing your application!

About Solaya:

Backed by NVIDIA, in partnership with INRIA, Solaya is a 3D and GenAI content production platform that is revolutionizing the way businesses create and distribute digital content. Our innovative platform combines cutting-edge 3D modeling and generative AI technologies to streamline content production workflows and empower brands to deliver high-quality, engaging content faster and more efficiently than ever before.

About the role:

Mindset. We hire people for their mindset. We want to work with missionaries, not mercenaries and believe in the long term when it comes to relationships. We value trust and strong values. We are looking for star chasers that actively seek to learn and continuously progress.

As a Senior Machine Deep Engineer at Solaya, you’ll be responsible for designing, developing, and deploying advanced machine learning algorithms and models to solve complex problems in computer vision and image processing. You’ll work closely with a talented team of engineers and researchers to create and iterate on state-of-the-art solutions that meet our platform’s needs.

Key Responsibilities:

  • Design and develop advanced machine learning algorithms and models using Python, PyTorch, and other frameworks.

  • Optimize and improve existing machine learning models for scalability and performance.

  • Collaborate with other engineers and researchers to create innovative solutions for computer vision and image processing tasks.

  • Write clean, efficient, and well-documented code while following best practices and coding standards.

  • Perform code reviews, testing, debugging, and documentation as needed.

  • Developing lighting estimation algorithms in MR applications.

  • Developing 3D generation algorithms in MR applications.

  • Staying updated with the latest research in 3D vision and graphics, and contributing to patent writing

Qualifications and Skills:

  • Master’s or Ph.D. degree in Computer Science, Deep Learning, Engineering, Mathematics, or a related field.

  • Strong experience with Python and its ecosystems, such as PyTorch, NumPy, and Pandas.

  • Experience with NeRF and Gaussian Splatting 

  • 1 or 2 years experience in NeRF/Gaussian Splatting.

  • Expertise in advanced computer vision and deep learning concepts, including convolutional neural networks (CNNs), transfer learning, and generative adversarial networks (GANs).

  • Experience with GPU programming and libraries such as TinyCuda and OpenGL.

  • Familiarity with Docker containerization and deployment.

  • Experience with software development methodologies like Agile, Scrum, and version control tools such as Git.

  • Strong communication, collaboration, and problem-solving skills.

  • Ability to work independently and collaboratively in a fast-paced environment.

  • Good understanding of indoor and outdoor lighting estimation algorithms (e.g., DeepLight, Lighthouse), real-time rendering algorithms like IBL and spherical harmonics lighting.

  • Good understanding of the latest developments in 3D generation, experience in projects such as 2D lifting (DreamFusion), multiview diffusion (Zero123), and large-scale 3D generative models (LRM/PF-LRM).

  • Publications at top conferences/journals in computer vision, computer graphics, or machine learning is a real plus

Preferred Qualifications :

  • Prior experience in building and deploying production-ready machine learning systems.

  • Expertise in other areas of machine learning, such as natural language processing (NLP) and reinforcement learning.

  • Experience with CI/CD pipelines and DevOps practices.

  • Familiarity with cloud computing platforms like AWS, Google Cloud, or Azure.

What we offer:

  • Competitive compensation package with equity options.

  • An opportunity to work on cutting-edge technology and shape the future of machine learning, Gaussian Splatt, NeRF in content production.

  • A dynamic, innovative, and inclusive work environment.

  • Flexible work arrangements and professional development opportunities.

To apply:

If you are interested in this position, please send your resume, cover letter, and any relevant work samples or portfolio links to mariem@solaya.ai with the subject line "Senior Deep Learning Engineer." We appreciate your interest and look forward to reviewing your application!

About Solaya:

Backed by NVIDIA, in partnership with INRIA, Solaya is a 3D and GenAI content production platform that is revolutionizing the way businesses create and distribute digital content. Our innovative platform combines cutting-edge 3D modeling and generative AI technologies to streamline content production workflows and empower brands to deliver high-quality, engaging content faster and more efficiently than ever before.

About the role:

Mindset. We hire people for their mindset. We want to work with missionaries, not mercenaries and believe in the long term when it comes to relationships. We value trust and strong values. We are looking for star chasers that actively seek to learn and continuously progress.

As a Senior Machine Deep Engineer at Solaya, you’ll be responsible for designing, developing, and deploying advanced machine learning algorithms and models to solve complex problems in computer vision and image processing. You’ll work closely with a talented team of engineers and researchers to create and iterate on state-of-the-art solutions that meet our platform’s needs.

Key Responsibilities:

  • Design and develop advanced machine learning algorithms and models using Python, PyTorch, and other frameworks.

  • Optimize and improve existing machine learning models for scalability and performance.

  • Collaborate with other engineers and researchers to create innovative solutions for computer vision and image processing tasks.

  • Write clean, efficient, and well-documented code while following best practices and coding standards.

  • Perform code reviews, testing, debugging, and documentation as needed.

  • Developing lighting estimation algorithms in MR applications.

  • Developing 3D generation algorithms in MR applications.

  • Staying updated with the latest research in 3D vision and graphics, and contributing to patent writing

Qualifications and Skills:

  • Master’s or Ph.D. degree in Computer Science, Deep Learning, Engineering, Mathematics, or a related field.

  • Strong experience with Python and its ecosystems, such as PyTorch, NumPy, and Pandas.

  • Experience with NeRF and Gaussian Splatting 

  • 1 or 2 years experience in NeRF/Gaussian Splatting.

  • Expertise in advanced computer vision and deep learning concepts, including convolutional neural networks (CNNs), transfer learning, and generative adversarial networks (GANs).

  • Experience with GPU programming and libraries such as TinyCuda and OpenGL.

  • Familiarity with Docker containerization and deployment.

  • Experience with software development methodologies like Agile, Scrum, and version control tools such as Git.

  • Strong communication, collaboration, and problem-solving skills.

  • Ability to work independently and collaboratively in a fast-paced environment.

  • Good understanding of indoor and outdoor lighting estimation algorithms (e.g., DeepLight, Lighthouse), real-time rendering algorithms like IBL and spherical harmonics lighting.

  • Good understanding of the latest developments in 3D generation, experience in projects such as 2D lifting (DreamFusion), multiview diffusion (Zero123), and large-scale 3D generative models (LRM/PF-LRM).

  • Publications at top conferences/journals in computer vision, computer graphics, or machine learning is a real plus

Preferred Qualifications :

  • Prior experience in building and deploying production-ready machine learning systems.

  • Expertise in other areas of machine learning, such as natural language processing (NLP) and reinforcement learning.

  • Experience with CI/CD pipelines and DevOps practices.

  • Familiarity with cloud computing platforms like AWS, Google Cloud, or Azure.

What we offer:

  • Competitive compensation package with equity options.

  • An opportunity to work on cutting-edge technology and shape the future of machine learning, Gaussian Splatt, NeRF in content production.

  • A dynamic, innovative, and inclusive work environment.

  • Flexible work arrangements and professional development opportunities.

To apply:

If you are interested in this position, please send your resume, cover letter, and any relevant work samples or portfolio links to mariem@solaya.ai with the subject line "Senior Deep Learning Engineer." We appreciate your interest and look forward to reviewing your application!

About Solaya:

Backed by NVIDIA, in partnership with INRIA, Solaya is a 3D and GenAI content production platform that is revolutionizing the way businesses create and distribute digital content. Our innovative platform combines cutting-edge 3D modeling and generative AI technologies to streamline content production workflows and empower brands to deliver high-quality, engaging content faster and more efficiently than ever before.

About the role:

Mindset. We hire people for their mindset. We want to work with missionaries, not mercenaries and believe in the long term when it comes to relationships. We value trust and strong values. We are looking for star chasers that actively seek to learn and continuously progress.

As a Senior Machine Deep Engineer at Solaya, you’ll be responsible for designing, developing, and deploying advanced machine learning algorithms and models to solve complex problems in computer vision and image processing. You’ll work closely with a talented team of engineers and researchers to create and iterate on state-of-the-art solutions that meet our platform’s needs.

Key Responsibilities:

  • Design and develop advanced machine learning algorithms and models using Python, PyTorch, and other frameworks.

  • Optimize and improve existing machine learning models for scalability and performance.

  • Collaborate with other engineers and researchers to create innovative solutions for computer vision and image processing tasks.

  • Write clean, efficient, and well-documented code while following best practices and coding standards.

  • Perform code reviews, testing, debugging, and documentation as needed.

  • Developing lighting estimation algorithms in MR applications.

  • Developing 3D generation algorithms in MR applications.

  • Staying updated with the latest research in 3D vision and graphics, and contributing to patent writing

Qualifications and Skills:

  • Master’s or Ph.D. degree in Computer Science, Deep Learning, Engineering, Mathematics, or a related field.

  • Strong experience with Python and its ecosystems, such as PyTorch, NumPy, and Pandas.

  • Experience with NeRF and Gaussian Splatting 

  • 1 or 2 years experience in NeRF/Gaussian Splatting.

  • Expertise in advanced computer vision and deep learning concepts, including convolutional neural networks (CNNs), transfer learning, and generative adversarial networks (GANs).

  • Experience with GPU programming and libraries such as TinyCuda and OpenGL.

  • Familiarity with Docker containerization and deployment.

  • Experience with software development methodologies like Agile, Scrum, and version control tools such as Git.

  • Strong communication, collaboration, and problem-solving skills.

  • Ability to work independently and collaboratively in a fast-paced environment.

  • Good understanding of indoor and outdoor lighting estimation algorithms (e.g., DeepLight, Lighthouse), real-time rendering algorithms like IBL and spherical harmonics lighting.

  • Good understanding of the latest developments in 3D generation, experience in projects such as 2D lifting (DreamFusion), multiview diffusion (Zero123), and large-scale 3D generative models (LRM/PF-LRM).

  • Publications at top conferences/journals in computer vision, computer graphics, or machine learning is a real plus

Preferred Qualifications :

  • Prior experience in building and deploying production-ready machine learning systems.

  • Expertise in other areas of machine learning, such as natural language processing (NLP) and reinforcement learning.

  • Experience with CI/CD pipelines and DevOps practices.

  • Familiarity with cloud computing platforms like AWS, Google Cloud, or Azure.

What we offer:

  • Competitive compensation package with equity options.

  • An opportunity to work on cutting-edge technology and shape the future of machine learning, Gaussian Splatt, NeRF in content production.

  • A dynamic, innovative, and inclusive work environment.

  • Flexible work arrangements and professional development opportunities.

To apply:

If you are interested in this position, please send your resume, cover letter, and any relevant work samples or portfolio links to mariem@solaya.ai with the subject line "Senior Deep Learning Engineer." We appreciate your interest and look forward to reviewing your application!