Opportunity

Cloud spend is expected to hit roughly $600 billion this year, growing at 22.5% YoY.

Cloud costs are the fastest growing expenditure and primary source of budgetary complexity for most companies, requiring a great deal of ongoing effort and resources. Nearly half of all companies struggle to control cloud expenses and more than a quarter take weeks or months to detect cost increases.

Outside of just optimizing costs, companies have to hire armies of engineers whose sole job is to architect, manage, and deploy cloud infrastructure. The necessity for these large teams, even at small companies, underscores a significant problem.

We need a new cloud experience.

Antimetal

Antimetal is changing the way companies use the cloud.

We’ve built a solution that automates the entire cost optimization process, providing personalized savings recommendations based on each customer’s unique usage and infrastructure profile. To date, our technology has helped companies save tens of millions of dollars and thousands of engineering hours.

Simultaneously, we are rapidly branching out into infrastructure-related products, aiming to simplify and enhance the cloud management experience.

We’ve made the cloud cheaper to use. Now we’re making it easier to use.

We are backed by world-class investors and are looking to expand our small team to help manage the explosive growth we’ve seen. That’s where you come in.

Role

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 developing and implementing algorithms that detect infrastructure inefficiencies; in addition, you’ll build AI agents to automatically address these issues.

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.

You

As our next Machine Learning Engineer, you should have at least 5 years of experience in machine learning and data science, preferably in a high-growth company, plus:

• Thorough understanding and experience with machine learning models and how they work. Prior work with agent-based AI systems is strongly preferred.

• 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

Benefits

• 100% employer-covered health, dental, and vision insurance

• Monthly fitness stipend

• Dinner provided in office

• Quarterly off-sites

Location

NYC - We are in-person only and have a fantastic office in Tribeca!