Machine Learning Research Engineer

EliteHunt; New York (NY); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive salary

Equity

Benefits

Job summary

A technology company in New York is seeking a Machine Learning Research Engineer to develop innovative machine learning models for product photography. You will contribute across all project phases, utilizing skills in Python, CUDA, and frameworks like TensorFlow and PyTorch. The role requires 2 to 10 years of relevant experience, including multi-node GPU training. Competitive compensation, equity, and benefits are offered, along with the opportunity to work in a dynamic team aiming to reshape e-commerce photography.

Qualifications

• 2 to 10 years of experience in a machine learning intensive role or in a research capacity.
• Strong experience with Python, CUDA, and deep learning frameworks.
• Proven experience in implementing and deploying multi-node GPU training.

Responsibilities

• Contribute to all phases of machine learning projects from research to deployment.
• Implement and deploy multi-node GPU training.
• Develop and maintain robust machine learning models.
• Stay informed of advancements in machine learning research.
• Translate complex research papers into practical solutions.
• Communicate technical concepts effectively.

Skills

Python

CUDA

TensorFlow

PyTorch

Multi-node GPU training

Communication skills

Job description

About the job Machine Learning Research Engineer

We're building Mirage Studio, a web-application to democratize high end product photography for e-commerce and DTC brands using image generation (diffusion) models.

We're an ambitious team of machine learning researchers and engineers from Harvard and Caltech, and take a highly technical and results driven approach to our work. We are attempting to produce machine learning models that can match, and hopefully exceed, the quality of the best and most creative professional photography for minimal cost at scale. To meet this standard, our work requires pursuing novel approaches to push beyond what is known under the existing body of research. We are fortunate to be in a position where we have the resources to pursue advanced experiments backed by investors like Y Combinator, Hack VC, and Soma Capital, while still being a small team, in ways that are not possible at research institutions and companies.

We're excited to be hiring for our machine learning team. Come join us as we make high end product photography accessible over the internet to businesses anywhere in the world.

Responsibilities

• Contribute to all phases of machine learning projects from research, conceptualization, design, implementation, testing, and deployment.
• Implement and deploy multi-node GPU training.
• Develop and maintain robust machine learning models using programming languages such as Python, CUDA, and deep learning frameworks such as TensorFlow and PyTorch.
• Stay informed of advancements in machine learning research and apply relevant findings to ongoing projects.
• Translate complex research papers into practical, efficient, and scalable solutions.
• Communicate highly technical concepts effectively and succinctly to team members, clients, and stakeholders.

Qualifications

• 2 to 10 years of experience in a machine learning intensive role, or in a research capacity.
• Strong experience with Python, CUDA, and deep learning frameworks such as TensorFlow and PyTorch.
• Proven experience in implementing and deploying multi-node GPU training.
• Track record of implementing machine learning based research project(s) end-to-end.
• Ability to read, synthesize, and implement machine learning approaches documented in recent research papers.
• Excellent written and verbal communication skills, with the ability to convey highly technical concepts effectively and succinctly.

Compensation + Perks: We provide competitive salary, equity, and benefits

Funding: We are a Y Combinator company and are backed by the best investors in the business in addition to Y Combinator, including Hack VC, Soma Capital, and others.