Machine Learning Engineer

A hybrid Design and R&D company that fuses design, technology, and biology to invent multi-scale products and environments.
$83,000 - $225,000
Machine Learning
Senior Software Engineer
In-Person
4+ years of experience
AI · Biotech

Description For Machine Learning Engineer

OXMAN, an innovative hybrid Design and R&D company, is seeking a Senior Machine Learning Engineer to join their groundbreaking team. This role represents a unique opportunity to work at the intersection of artificial intelligence, biology, and design, creating solutions that bridge human-made and nature-grown environments.

The position requires a PhD-level professional with at least 4 years of machine learning experience, who will be responsible for developing cutting-edge AI solutions in a truly interdisciplinary environment. The role involves working with large multimodal datasets, developing deep generative models, and implementing real-world reinforcement learning methods for biological-artificial hybrid systems.

What makes this role particularly exciting is its focus on nature-centric design approaches, where AI and machine learning are used to advance both human technology and natural systems. The successful candidate will work with an all-star team of deep thinkers and brilliant makers, contributing to projects that span physical, digital, and biological realms.

The compensation package is competitive, ranging from $83,000 to $225,000, and includes attractive benefits such as equity participation, year-end bonuses, and immigration assistance. Based in New York City, this role offers the opportunity to work with state-of-the-art technology while contributing to groundbreaking research that could be published in top-tier journals.

The ideal candidate will possess not just technical expertise in machine learning frameworks and programming languages, but also the ability to think creatively and work effectively in a fast-paced, entrepreneurial environment. This position offers the unique opportunity to work on projects that could fundamentally change how we approach the relationship between artificial and natural systems, making it an ideal role for someone passionate about both technology and sustainability.

OXMAN's commitment to fusing design, technology, and biology creates an unparalleled environment for professional growth and innovation. The company's focus on radical synergy between human-made and nature-grown environments provides a meaningful context for your work, where every project contributes to advancing both human technology and natural systems.

Last updated 6 hours ago

Responsibilities For Machine Learning Engineer

  • Apply AI and ML techniques to develop state-of-the-art algorithms for design, fabrication and biology applications
  • Research and develop methods in multi modal machine learning, deep generative modelling and deep reinforcement learning
  • Perform data gathering and analysis on environmental and biological data
  • Publish work in top-tier journals
  • Partner with multidisciplinary team of biologists, engineers, and designers
  • Communicate ideas, work, and progress through team meetings and presentations

Requirements For Machine Learning Engineer

Python
  • PhD or equivalent in computer science, AI, machine learning, applied data science, bioinformatics, mathematics, physics, or relevant field
  • Minimum 4 years of experience with machine learning
  • Experience in Multi Modal Machine Learning, Deep Generative Modeling, Deep Reinforcement Learning
  • Portfolio demonstrating AI integration to other domains
  • Fluency with programming (Python, C++)
  • Expert knowledge in Machine Learning Frameworks (Pytorch, JAX)
  • Ability to thrive in fast-paced entrepreneurial environment
  • Excellent independence, self-motivation, and organizational skills
  • Strong commitment to team work

Benefits For Machine Learning Engineer

Visa Sponsorship
Equity
  • Immigration assistance
  • Equity participation
  • Year-end bonuses

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