Opportunity

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

Nearly half of all enterprises struggle to control cloud expenses and more than a quarter take weeks or months to detect cost increases.

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.

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 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.

You

You should have at least 3 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

• 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

Location

Preferably NYC, but open to exceptional candidates anywhere (in reasonable time zones)