Sr Machine Learning Engineer

Role : Senior Machine Learning Engineer

Hourly Rat e: 80-100/hr

Location : Remote

Length : 6 month contract (long term potential)

Your New Company

Our client is a fast-paced, product-led business building advanced machine learning capabilities to drive smarter customer targeting, stronger forecasting, and better advertising performance. You’ll join a team working on meaningful ML use cases with clear commercial impact, in an environment that values experimentation, hands-on delivery, and scalable engineering practices.

Your New Role

As the Senior Machine Learning Engineer, you will design, build, and optimize machine learning solutions across a number of high-value use cases. The role has a strong focus on time series forecasting, optimization, look-alike audience creation, ML models for ad relevancy, and click-through-rate (CTR) modeling. You’ll work closely with cross-functional stakeholders to productionize models, improve performance, and help shape scalable ML workflows in a cloud-based environment.

What You’ll Need to Succeed

To be considered, you’ll need strong hands-on experience as a Machine Learning Engineer with deep exposure to time series forecasting and applied ML in production settings. You should bring experience working in GCP or another cloud environment, ideally with exposure to Vertex AI. The team is also looking for someone with general knowledge of LLMs and FastAPI, along with strong programming ability in Python, Go, and SQL. Experience applying ML to advertising, audience modeling, relevance, ranking, or optimization problems will be highly valued.

What You’ll Get in Return

In return, you’ll have the chance to work on impactful ML initiatives in a high-visibility role where your work will directly influence product and business performance. You’ll join a collaborative environment that values strong engineering, practical ML application, and innovation across modern cloud and AI tooling.

What You Need to Do Now

If you’re a senior-level ML Engineer with strong forecasting experience and a track record of delivering production ML solutions, apply now or reach out directly for a confidential discussion.