Software Engineer, Arena
Machine Learning
$175-225k
Plus equity
Office located in 35 E 21st Street, NY
AI-powered autopilot for business decisions
Job no longer available
AI-powered autopilot for business decisions
21-100 employees
Job no longer available
$175-225k
Plus equity
Office located in 35 E 21st Street, NY
21-100 employees
Company mission
To empower businesses across industries to make high frequency, critical path decisions fully autonomous.
Role
Who you are
- Willingness to travel internationally to work with customers
- Minimum 2 years of professional experience post-grad
- Experience owning the development of complex systems from end to end
- Passion for Artificial Intelligence and Machine Learning: Demonstrated a deep interest and enthusiasm for the field, stayed up-to-date with the latest advancements and trends. Prior professional experience with ML/AI is great, but not required
- Strong Coding Skills: Exhibit a proven ability to write clean and efficient code that adheres to best practices
- Solid Computer Science Fundamentals: Possess a strong foundation in data structures, algorithm design, and problem-solving, enabling you to tackle complex challenges with ease
- Experience with Complex Systems: Showcase a track record of successfully architecting, building, and scaling complex systems, preferably in the realm of AI or machine learning
- User Focus: Display a strong user-centric approach and the ability to translate user requirements into practical design solutions
- Continuous Integration and Delivery: Familiarity with continuous integration (CI) and continuous delivery (CD) practices to ensure efficient development and deployment workflows
- First principles thinking: A strong instinct and ability to break complex systems down into fundamental parts, and build up from there
What the job involves
- As a Lead Engineer, you will play a pivotal role working with a diverse team of engineers and scientists with different backgrounds and areas of expertise
- We believe that the real potential of AI will be achieved through the right interfaces, properly set data layers, and fast development cycles. Our lead engineers achieve these goals by mentoring and leading developers, fostering curiosity and deep technical understanding
- Lead Development: As the lead engineer, you will spearhead the development of the next generation of machine learning software. Your expertise will drive innovation in three main areas: Core Intelligence-ML Modeling, Telemetry-Impact & Algorithmic Health, and AI interfaces. You will oversee and contribute to building out functionalities in all three domains
- Architect and Scale Complex Systems: Leverage your strong intuition and engineering acumen to architect, build, and scale sophisticated systems that power our active learning platform. Your experience in designing robust and efficient solutions will be vital in pushing the boundaries of what AI can achieve
- Collaborate with Cross-functional Teams: Work closely with Product Designers, ML Scientists, and external stakeholders to deliver user-facing products that delight our customers. Your ability to translate user requirements into well-designed solutions will be crucial in shaping the future of AI-powered applications
Our take
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.
Kirsty
Company Specialist
Insights
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
Articles
Leadership
Pratap Ranade
(CEO)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.
Engin Ural
(CTO)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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