Ladders
Machine Learning Scientist 5 - Ads Demand Science
Skills
14 days ago
Share this opportunity
Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.
Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
8 October 2026
What they need
For our client, we are seeking a Machine Learning Scientist 5 - Ads Demand Science to join the team of a leader in the Hospitality & Recreation space.
This role will focus on designing and shipping advanced machine learning solutions that improve media planning and decision-making. You will partner closely with scientists and engineers to build, evaluate, and refine production systems, including conversational AI agents, with an emphasis on measurable performance and strong judgment. The position calls for someone who is comfortable navigating ambiguity, driving ideas into production, and communicating clearly across technical and non-technical audiences.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $466,000 – $750,000 annually
Responsibilities
- Design and ship production ML models and conversational AI agents for media planning.
- Build and evolve systems to evaluate and improve decision quality of models and agents.
- Collaborate with scientists and engineers to ship and iterate on new capabilities.
- Tackle ambiguous problems, propose solutions, and drive them to production.
- Iterate on launched models and agents based on performance data and feedback.
- Communicate effectively with both technical and non-technical stakeholders.
Qualifications
- Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Experience building and shipping ML models or systems in production.
- Proficient in Python and SQL.
- Curious and motivated to learn across ML domains, not attached to a single specialty.
- Strong collaborator energized by building alongside others.
- Comfortable with ambiguity and able to take ownership with minimal oversight.
- Enthusiastic about and compatible with the organization's culture.
Benefits
- Comprehensive health plans and mental health support.
- 401(k) retirement plan with employer match.
- Stock option program and disability programs.
- Health savings and flexible spending accounts.
- Family-forming benefits and life/serious injury benefits.
- Paid leave of absence programs and flexible time off for salaried employees.
- 35 days annually of paid time off for full-time hourly employees.
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.
Other offers great for you!
These companies are also looking for great profiles
Skiils
Machine Learning Engineer / MLOps Senior
Freelance
Paris, France
Hybrid
Skills
4 months ago
Quick apply
Theodo
Machine Learning Engineer / ML Engineer
480 - 580
Freelance
Paris, France
Hybrid
Skills
2 days ago
Quick apply
Finaxys
Finaxys recrute un MLOPS (F/H) / CDI
Permanent contract
Paris, France
Hybrid
Skills
10 hours ago
Quick apply
No company information available.