Machine Learning Engineer

Job Description

City: Seattle, WA

Onsite/ Hybrid/ Remote: Onsite

Duration: 9 months

Rate Range: $92/hr on W2 depending on experience (no C2C or 1099 or sub-contract)

Work Authorization: GC, USC, All valid EADs except H1b

WHAT YOU’LL DO:

● Design and develop machine learning models to assist finance and product teams in improved quarterly spending forecasting

● Develop scalable and efficient data pipelines and processes for training, inferencing, and model evaluation for high accuracy

● Collaborate with engineering teams and finance and product managers in an open, creative environment.

● Work closely with Frontend engineers and Software Engineers to present forecasts in a performant and timely manner.

Required:

● MS in Math, computer science, or AI-related field

● 4+ years of working experience in machine learning, and statistics focusing on forecasting in leading product companies.

● Proficient with Python, Spark, Databricks, SQL, large-scale ML/DL platforms, and ML forecasting models

● Passion for technology, open to interdisciplinary work, and experience in building data-driven services and applications.

● Excellent written and verbal communication skills

Good to have:

● Understanding of generative machine learning models, including architectures like transformers and popular implementations such as GPT

● Understand different genAI application development methods.