Machine Learning Scientist

Arena; New York (NY); On-site; USD 135,000 - 200,000; Full time

Job summary

An innovative firm is seeking a Machine Learning Scientist to develop cutting-edge ML systems that drive automated decision-making for large enterprises. This role involves working with advanced models and multi-modal data, pushing the limits of technology to solve real-world problems. The ideal candidate will thrive in a collaborative environment, contributing to groundbreaking projects that harness the power of AI for humanity. Join a passionate team dedicated to transforming industries through advanced AI solutions, and be part of a journey that shapes the future of technology.

Benefits

99% coverage of Aetna medical insurance

401(k) Retirement Plan

Unlimited PTO

Daily lunch from local restaurants

Laptop and monitor provided

Qualifications

• Experience in model training, deployment, and maintenance in production.
• Strong skills in deep learning frameworks and large scale ML systems.

Responsibilities

• Develop ML systems for automated decision making in enterprises.
• Push boundaries of scientific and technical possibilities in ML.

Skills

Deep Learning

Model Training

Reinforcement Learning

Programming (Python)

Communication Skills

Education

Bachelor's Degree in Computer Science

Tools

Pytorch

Tensorflow

DeepSpeed

Ray

Pytorch Lightning

Job description

Join to apply for the Machine Learning Scientist role at Arena

Join to apply for the Machine Learning Scientist role at Arena

Who We Are

Our name is inspired by Theodore Roosevelt’s ‘Citizenship in a Republic’ speech, which pays homage to the ‘(hu)man in the Arena’. To us, entering the Arena means committing oneself fully and accepting the risk of failure in the pursuit of an audacious, worthy cause.

Who We Are

Our name is inspired by Theodore Roosevelt’s ‘Citizenship in a Republic’ speech, which pays homage to the ‘(hu)man in the Arena’. To us, entering the Arena means committing oneself fully and accepting the risk of failure in the pursuit of an audacious, worthy cause.

We’re a close-knit team of scientists and builders exploring the boundaries of how artificial intelligence can benefit humanity. If you share our passion for delving deep into real-world problems and solving them with fully autonomous AI, join us in the Arena.

What We Do

Our collective future is being built in the physical world, but the builders of tomorrow’s technology can no longer rely on yesterday’s tools. At Arena, we’re building the world’s first AI industrial engineer designed to solve the most complex hardware and manufacturing challenges. Our product, Atlas, is built with an understanding of the behavior of physical systems, powered by a superior knowledge of core domains of physics. Paired with its ability to reason about multimodal industrial data, Atlas can test, debug, optimize, and repair physical systems and products in the real world. Arena is already trusted by some of the most advanced industrial companies in the world (AMD, Bausch & Lomb), and we're rapidly already scaling into the defense, automotive, and pharmaceuticals industries, and we’re just getting started.

How You Will Contribute

As a Machine Learning Scientist at Arena, your responsibilities will include developing ML systems that power closed loop automated decision making for large enterprises. Our technology encompasses large transformer based models that feed multi-modal data in addition to Reinforcement learning based smart exploration/exploitation systems. Your work will span the spectrum from quick exploratory/experimental models to scaled, production processes. Your work may start from simple models, but the ultimate goal is to push the boundaries of what is scientifically and technically possible, and share those advances with the greater scientific community via publication and/or open source.

Required Qualifications

• Working full time in our office in NYC
• Model training, deployment and maintenance experience in a production environment
• Strong skills in deep learning and related frameworks (ie. Pytorch, Tensorflow, DeepSpeed, Ray, Pytorch Lightning)
• Experience in dealing with high performance, large scale ML systems
• Strong high-level programming skills and passionate about good engineering, clean code, scalability
• Deep passion for AI and building machine learning systems
• Interested in the full ML stack from initial R&D through deploying models into production
• Strong written and verbal communication skills to operate in a cross functional team environment
  
  

It Would Be Great If You Have

• Experience with active learning, reinforcement learning, causal inference and/or online learning approaches
• Expertise in experimental design and Bayesian uncertainty estimation
  
  

Benefits

• 99% of the monthly premium for Aetna medical insurance, plus vision and dental coverage
• 401(k) Retirement Plan
• Unlimited PTO
• Lunch every day from local restaurants via Sharebite
• Laptop and monitor provided
  
  

The base salary range for this position is $135,000 - $200,000 yr. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Software Development

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