Machine Learning Engineer, Antimetal

$160-210k

Offers Equity

AWS

GCP

Python

Kafka

Tensorflow

Hadoop

Azure

Spark

Scikit-Learn

PyTorch

Mid and Senior level

New York

Office located in Tribeca, NYC

Cloud computing spend optimization

Job no longer available

Cloud computing spend optimization

1-20 employees

B2BArtificial IntelligenceEnterpriseMachine LearningAutomationCloud ComputingNo-Code

Job no longer available

$160-210k

Offers Equity

AWS

GCP

Python

Kafka

Tensorflow

Hadoop

Azure

Spark

Scikit-Learn

PyTorch

Mid and Senior level

New York

Office located in Tribeca, NYC

1-20 employees

B2BArtificial IntelligenceEnterpriseMachine LearningAutomationCloud ComputingNo-Code

Company mission

To help startups and enterprises save millions to allocate elsewhere.

Job

Company

Role

Who you are

You should have at least 3 years of experience in machine learning and data science, preferably in a high-growth company
Thorough understanding and experience with machine learning models and how they work
Strong Python programming skills and experience with relevant libraries such as TensorFlow, PyTorch, and scikit-learn
Experience using big data technologies such as Spark, Hadoop, and Kafka
Extensive experience with at least one of AWS, Azure, and GCP
Excellent algorithmic thinking skills
High level of autonomy and independence
Strong communication skills
Detail oriented
Creative
Fast learner with the ability to adapt to ambiguity
Ability to own and manage projects end-to-end

What the job involves

As a Machine Learning Engineer, you will work on one of the most exciting parts of Antimetal—our AI engine
You will play a critical role in development and implementing cost optimization and anomaly detection algorithms that can help businesses optimize their cloud resource usage
You will be responsible for designing and building machine learning models and algorithms, implementing and testing them at scale, integrating them into our production systems, and monitoring their performance

Our take

The amount companies spend on cloud computing annually is on course to hit $600 billion by the end of 2023. While cloud providers are attempting to find solutions, it's not their core business and companies find themselves spending huge amounts of time and effort optimizing their cloud use and reselling unused resources. Antimetal wants to fix this, providing a machine-learning led platform that can analyze potential savings opportunities in a company's cloud use and cut costs by up to 75%.

Antimetal's platform detects what spare resources exist and scans the marketplace for unused cloud assets to find the optimal way to package the resources so they will be taken swiftly. It then automatically lists them, cutting out a lot of manual analytical and admin work, and achieving sales faster than the 90 day average for cloud resources listed on the AWS marketplace. These cost savings add up to thousands or even millions for the larger enterprises, and Antimetal has swiftly gained a customer base of over 30 companies within its first months of launching.

Antimetal's solution has clearly caught the eye of investors, and the company has recently closed a seed investment round. It plans to use these funds to expand the company, doubling its headcount over 2023. With an innovative solution to a pressing (and expensive) problem, Antimetal is well poised to grow into a significant business in this space.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (1 round)

May 2023

$4.3m

SEED

Total funding: $4.3m

Company HQ

SoHo, New York, NY

Leadership

Matthew Parkhurst

(CEO)

Prior to co-founding Antimetal, was Director of Sales & Operations with Oxy and Director of Partnerships at Insurmi.

Shreyas Iyer

(CTO)

Is also Director of Education at the Harvard Computer Society. Before co-founding Antimetal was a Software Engineering Intern at Meta, and Case Team Lead for the Harvard College Consulting Group.

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