Staff Machine Learning Engineer, Ads Creative Effectiveness

Ladders; United States; Remote; USD 230,000 - 322,000; Full time

Benefits offered by this job

Healthcare benefits

401k with employer match

Global benefit programs

Family planning support

Job summary

Ladders is seeking a Staff Machine Learning Engineer, Ads Creative Effectiveness for a remote US-based role. You will architect and optimize generative workflows to produce ad creatives and improve performance across campaigns.

The position emphasizes collaboration with product and engineering teams, safety and compliance, and the ability to translate ML concepts for stakeholders. Competitive compensation is offered.

Qualifications

• 5-7 years of experience in machine learning, particularly with LLM/VLM fine-tuning and RLHF/RLPF for ads.
• Strong understanding of tree models, neural networks, and ranking systems.
• Experience with uplift metrics and experimentation setups for generative systems.
• Familiarity with auction dynamics and advertiser challenges in the marketplace.
• Proven ability to communicate complex ML concepts to non-technical stakeholders.
• Prior experience developing ad creative tools such as headline and image generators.

Responsibilities

• Architect and implement advanced generative workflows for ad creative generation.
• Build end-to-end image and video editing capabilities for advertisers.
• Fine-tune large vision-language models to enhance ad aesthetics based on performance metrics.
• Engineer robust safety and compliance systems to filter non-compliant content.
• Collaborate with cross-functional teams to integrate capabilities into the ad platform UI.
• Embed brand-safety filters and copyright checks into the creative process.

Skills

LLM/VLM fine-tuning

RLHF/RLPF

Generative modeling

Stakeholder communication

Ad tech knowledge

Tools

LLMs

Vision-Language Models

A/B testing

Job description

For our client, we are seeking a Staff Machine Learning Engineer, Ads Creative Effectiveness to join the team of a leader in the Media space.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $230,000 – $322,000 annually

Responsibilities

• Architect and implement advanced generative workflows for ad creative generation.
• Build end-to-end image and video editing capabilities for advertisers.
• Fine-tune large vision-language models to enhance ad aesthetics based on performance metrics.
• Engineer robust safety and compliance systems to filter non-compliant content.
• Collaborate with cross-functional teams to integrate capabilities into the ad platform UI.
• Embed brand-safety filters and copyright checks into the creative process.

Qualifications

• 5-7 years of experience in machine learning, particularly with LLM/VLM fine-tuning and RLHF/RLPF for ads.
• Strong understanding of tree models, neural networks, and ranking systems.
• Experience with uplift metrics and experimentation setups for generative systems.
• Familiarity with auction dynamics and advertiser challenges in the marketplace.
• Proven ability to communicate complex ML concepts to non-technical stakeholders.
• Prior experience developing ad creative tools such as headline and image generators.

Benefits

• Comprehensive healthcare benefits and income replacement programs.
• 401k with employer match.
• Global benefit programs tailored to individual lifestyles.
• Family planning support and gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.

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.