Machine Learning Engineer II, Ads - Response Prediction
LaddersAbout the role
For our client, we are seeking a Machine Learning Engineer II, Ads - Response Prediction to join the team of a leader in the Consumer Technology space.
This role will focus on developing and deploying machine learning solutions that improve advertising performance through better response prediction. You will work closely with product managers, data scientists, and engineers to turn ambiguous modeling challenges into clear technical directions and measurable business outcomes. The position calls for strong analytical rigor, scalable ML expertise, and the ability to communicate findings that support sound decision-making across the team.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $154,000 – $162,500 annually
Responsibilities
Design, develop, and deploy machine learning solutions for the ads organization
Translate ambiguous modeling problems into defined ML research directions
Collaborate with product managers, data scientists, and engineers to align on business needs
Enhance operational efficiency through model and algorithm refinement
Publish and present findings, contributing to the team's technical rigor
Qualifications
Graduate degree, such as a master's or PhD, in machine learning, statistics, computer science, or a related field
Strong programming skills in data manipulation, including SQL, Spark, and Pandas, along with ML tools
Strong analytical and problem-solving skills
Excellent communication abilities for collaboration with diverse teams
1-2 years of industry experience in machine learning with large datasets preferred
Knowledge of sequential modeling and Transformer architecture preferred
Experience building large-scale online recommendation systems preferred
Benefits
Flexible remote work policy allowing employees to work from specified Canadian provinces
Eligibility for new hire equity grants and annual refresh grants
A market-competitive compensation package
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Responsibilities
- Design, develop, and deploy machine learning solutions for the ads organization
- Translate ambiguous modeling problems into defined ML research directions
- Collaborate with product managers, data scientists, and engineers to align on business needs
- Enhance operational efficiency through model and algorithm refinement
- Publish and present findings, contributing to the team's technical rigor
Qualifications
- Graduate degree, such as a master's or PhD, in machine learning, statistics, computer science, or a related field
- Strong programming skills in data manipulation, including SQL, Spark, and Pandas, along with ML tools
- Strong analytical and problem-solving skills
- Excellent communication abilities for collaboration with diverse teams
- 1-2 years of industry experience in machine learning with large datasets preferred
- Knowledge of sequential modeling and Transformer architecture preferred
- Experience building large-scale online recommendation systems preferred
Benefits
- Flexible remote work policy allowing employees to work from specified Canadian provinces
- Eligibility for new hire equity grants and annual refresh grants
- A market-competitive compensation package
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.