FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Machine Learning Engineer
Liftoff Mobile. Develop and maintain machine learning models integral to the production decision-making system and business outcomes .
Posted 9/18/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $210,000 - $275,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining machine learning models, with a strong focus on real-time and batch processing pipelines. Proficient in explaining complex statistical and machine learning concepts to diverse audiences while ensuring timely project delivery.
Highest-signal resume keywords
Machine LearningDeep Neural NetworksRecommendation SystemsModel Performance TrackingB.S. in Machine Learning
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep Neural NetworksRecommendation SystemsModel Performance TrackingML PipelinesStatistical ConceptsCoding SkillsExecution and DeliveryAutomated RetrainingRisk-Driven Testing
Soft Skills
CollaborationCommunication
Certifications & Qualifications
PhD in Machine Learning, Math, or Physics
Industry Keywords
AdTech
About the role
Key responsibilities & impact- Develop and maintain machine learning models integral to the production decision-making system and business outcomes
- Adopt or build technologies for training and serving ML models
- Monitor the latest ML research for applicable ideas
- Build and scale efficient ML pipelines for real-time and batch processing
- Track model performance, detect drift, and automate retraining
- Explain statistical and machine learning concepts to technical and non-technical audiences
- Collaborate with world-class engineers
- Contribute to engineering excellence through advanced tools, risk-driven testing, explainable systems, and code review
Requirements
What you’ll need- 6+ years of industry experience applying Machine Learning, including neural networks, to large-scale problems
- Experience with Recommendation Systems
- Hands-on experience with deep neural networks in production at scale
- Solid engineering and coding skills
- Track record of well-developed execution and timely delivery of projects
- B.S. or higher in Machine Learning, Math, Physics, or similar
- PhD a plus
- Experience with AdTech is a solid plus
Benefits
Comp & perks- Equity
- Health, vision, and dental benefits
- Medical coverage
- Wellness stipends
- Additional perks based on country of residence
- Remote-first work environment
- In-person team gatherings, including project meetings, regional meetups, and company-wide events