About Arena
Arena is a company dedicated to exploring the boundaries of artificial intelligence to benefit humanity. We empower businesses across various industries to make high-frequency, critical path decisions autonomously. Our products have transformed sales and supply chains into self-learning systems, unlocking efficiencies and improving consumer experiences.
Role Overview
As a Machine Learning Scientist at Arena, you will be at the forefront of developing machine learning systems that leverage uncertainty estimation and active learning approaches, such as Reinforcement Learning, to solve real-world problems. Your work will range from quick exploratory models to scaled, production processes, pushing the boundaries of what is scientifically and technically possible.
Key Responsibilities
- Develop machine learning systems using deep learning frameworks like PyTorch and TensorFlow.
- Work on the full ML stack, from initial R&D to deploying models into production.
- Communicate technical concepts clearly to both technical and non-technical stakeholders.
- Engage in experimental design and Bayesian uncertainty estimation.
- Contribute to the scientific community through publications and open-source projects.
Required Qualifications
- Deep passion for AI and building machine learning systems.
- Proficiency in Python and SQL for data handling.
- Expertise in deep learning frameworks (e.g., PyTorch/TensorFlow).
- Strong engineering skills with a focus on clean code and scalability.
- Ability to work full-time on-site in New York City.
Preferred Qualifications
- Experience with active learning, reinforcement learning, causal inference, and online learning approaches.
- Experience with serverless or highly distributed ML model training on massive datasets.
Benefits
- 99% coverage of the monthly premium for Aetna medical insurance, plus vision and dental coverage.
- 401(k) Retirement Plan.
- Unlimited PTO.
- Daily lunch from local restaurants via Sharebite.
- Laptop and monitor provided.
Salary
The base salary range for this position is $135,000 - $200,000 per year, with competitive equity and benefits packages.
Benefits Extracted with AI
- Medical insurance
- Vision insurance
- Dental insurance
- 401(k)
- Disability insurance
- Commuter benefits
- Paid maternity leave
- Paid paternity leave
- Unlimited PTO
- Lunch provided
- Laptop and monitor provided
Similar jobs
Last update: 23 minutes ago
Lead Software Engineer - Machine Learning
Lead Software Engineer role focusing on Machine Learning, AI interfaces, and complex systems in New York.
Software Engineer, Growth
Join Arena as a Software Engineer, Growth, to solve complex challenges with AI, focusing on machine learning and algorithm design.
Fullstack Engineer with Python and TypeScript
Join Arena as a Fullstack Engineer to build innovative AI-driven user experiences using Python and TypeScript.
Senior Applied Scientist, Artificial General Intelligence
Join Amazon's AGI team as a Senior Applied Scientist to develop cutting-edge AI algorithms and models. Requires deep learning expertise.
Applied Scientist II
Join Amazon as an Applied Scientist II to drive machine learning projects, optimize ad serving, and enhance customer experiences.
Mid-Level Machine Learning Engineer
Join Accrete AI as a Mid-Level Machine Learning Engineer in New York. Work on AI projects with a skilled team, leveraging advanced ML techniques.
Senior AI Scientist
Join AstraZeneca as a Senior AI Scientist in Barcelona to develop AI/ML models for drug discovery and development.
Applied Scientist, Artificial General Intelligence
Join AWS as an Applied Scientist in Artificial General Intelligence, driving AI innovation in cloud computing.
AI Engineer with Python and TensorFlow
AI Engineer role in Morrisville, NC, focusing on AI and LLMs on CPUs using Python, TensorFlow, and PyTorch.
Frontend Engineer with React.js and TypeScript
Join Arena as a Frontend Engineer to build innovative AI-driven user interfaces using React.js and TypeScript.
Senior Machine Learning Scientist
Join Snowflake as a Senior ML Scientist to lead machine learning initiatives, apply AI & ML to business data, and mentor junior scientists.
Senior Applied Scientist, Sponsored Products
Join Amazon as a Senior Applied Scientist in New York, focusing on AI, ML, and data science for Sponsored Products.
Machine Learning Engineer
Join Sentry as a Machine Learning Engineer to develop AI models and algorithms for smarter software solutions.
Senior Data Scientist/AI Engineer
Join Oracle as a Senior Data Scientist/AI Engineer to develop and deploy advanced AI models in a remote role.
Engineering Manager, Machine Learning
Lead a new ML team focusing on AI-based content creation tools at Runway, a pioneering AI research company.
Early Career Machine Learning Engineer
Join Accrete AI as an Early Career Machine Learning Engineer in New York. Engage in cutting-edge AI projects and enjoy top-tier benefits.
Machine Learning Engineer, AI Powered: Custom Models
Join GitLab as a Machine Learning Engineer to develop AI models using PyTorch and TensorFlow. Work remotely with a global team.
Backend Engineer with Machine Learning Focus
Join Accrete AI as a Backend Engineer with a focus on machine learning, building scalable AI solutions.
Software Engineer, Machine Learning Infrastructure
Join Tesla as a Software Engineer in ML Infrastructure to optimize and scale neural network training with Python, C++, and PyTorch.
AI Engineer - Machine Learning and Robotics
Join Blueprint as an AI Engineer in Machine Learning and Robotics, focusing on scalable AI model training systems. Hybrid role in Redmond, WA.
Engineering Manager, Machine Learning
Join Runway as an Engineering Manager in Machine Learning to lead a team in AI-based content creation.
Machine Learning Scientist
Join PhysicsX as a Machine Learning Scientist to develop innovative models using deep learning for physics simulations.
Machine Learning Engineer - Ads
Join as a Machine Learning Engineer focusing on Ads, developing predictive models in a hybrid role in New York.
Senior Machine Learning Engineer
Join Cantina as a Senior Machine Learning Engineer to design and maintain ML infrastructure, optimize performance, and integrate models.