Machine Learning Scientist, Arena

$160-200k

SQL
Python
Tensorflow
PyTorch
Junior, Mid and Senior level
New York
Arena

AI-powered autopilot for business decisions

Open for applications

Arena

AI-powered autopilot for business decisions

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaSAutomation

Open for applications

$160-200k

SQL
Python
Tensorflow
PyTorch
Junior, Mid and Senior level
New York

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaSAutomation

Company mission

To empower businesses across industries to make high frequency, critical path decisions fully autonomous.

Role

Who you are

  • Deep passion for AI and building machine learning systems
  • Interested in the full ML stack from initial R&D through deploying models into production
  • Comfortable working with data in Python and SQL
  • Passionate about good engineering, clean code, and scalability
  • Able to communicate technical concepts clearly at all levels, whether that be engaging deeply on a topic with other Machine Learning Scientists or sharing key insights with business stakeholders

Desirable

  • Experience with active learning, reinforcement learning, causal inference and/or online learning approaches
  • Experience with serverless or highly distributed Machine Learning model training on massive datasets
  • Expertise in experimental design and Bayesian uncertainty estimation
  • Familiarity in deep learning frameworks (e.g. PyTorch/TensorFlow)

What the job involves

  • As a Machine Learning Scientist at Arena, your responsibilities will include developing machine learning systems that leverage uncertainty estimation and active learning approaches like Reinforcement Learning to solve real-world problems faced by our customers
  • 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

Otta's take

Sam Franklin headshot

Sam Franklin

CEO of Otta

Arena leverages performance data, predictive algorithms, and machine learning technology to help businesses automate high frequency decisions. In theory, the platform can be used to automate marketing strategies, promotions, inventory and supply chain management, pricing, and more.

Although AI automated decision-making may sound overly ambitious at first, a closer look suggests that it’s actually a natural progression from the huge growth of AI-powered data analytics companies. Arena separates itself from these by providing the next actionable step, rather than leaving these decisions up to internal teams.

The company’s “business decision autopilot” is used by a number of Fortune 500 businesses including multinational brewing company Anheuser-Busch InBev, so it must be doing something right. While it's shown stable and impressive growth since launching in 2020, a major 2022 fundraise led by Initialized Capital and Goldcrest Capital suggests an aggressive scale up is inevitable.

Insights

Top investors

21% employee growth in 12 months

Company

Funding (2 rounds)

Aug 2022

$32m

SERIES A

Dec 2021

$32m

SERIES A

Total funding: $64m

Company benefits

  • 99% of the monthly premium for Aetna medical insurance, plus vision and dental coverage
  • 401(k) Retirement Plan
  • Unlimited PTO
  • Laptop and monitor of your choice
  • Office supplies stipend
  • Ramp Company Card
  • Continued education allowance (books, e-courses)
  • Attendances to top conferences in their fields
  • Lunches at company wide meetings (several times a week)
  • Snack and self-serve lunch options
  • Global WeWork membership

Company values

  • Real world > Lab – We focus on solving real world problems, not over-applying theory, and deliver measurable results that move the needle
  • Speed > Perfection – We value getting from 0 to 1 fast, and then iterating. We believe that the more we ship, the faster we learn
  • Trust > Procedure – We trust you and ask that you trust us. Micro-management and hierarchies are not our way
  • Form + Function – We strive to truly understand the user and build products that move them on both a rational and an emotional level
  • Pride - Ego – We shed our egos and approach problems from first principles. True competence is quiet and humble

Company HQ

Ukrainian Village, New York, NY

Founders

Co-founded and was CEO of Kimono Labs (acquired by Palantir), which converts unstructured web data into APIs. Joined Palantir post-acquisition as a Forward Deployed Engineer. Before co-founding Arena, they led Engineering & Machine Learning at Enigma Technologies.

Former Application Developer at Goldman Sachs. Spent five years at Palantir as a Forward Deployed Software Engineer, before joining Enigma Technologies as a Software Engineer.

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