Senior Machine Learning Engineer

Posted 12 days agoViewed

💎 Seniority level: Senior, 5+ years

📍 Location: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, TX, UT, and WA.

💸 Salary: 155000.0 - 220000.0 USD per year

🔍 Industry: Mobile Industry

🏢 Company: Liftoff👥 501-1000💰 Private about 4 years agoAdvertising Platforms Big Data Mobile Advertising App Marketing Ad Retargeting Mobile Ad Network

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSDockerPythonSQLApache AirflowData AnalysisETLKubernetesMachine LearningMLFlowPyTorchAlgorithmsData engineeringData StructuresREST APISparkTensorflowCommunication SkillsAnalytical SkillsCollaborationCI/CDProblem Solving

Requirements:

5+ 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

Responsibilities:

Develop and maintain machine learning models that are integral to our production decision-making system and directly influencing business outcomes.
Adopt or build new technologies for training and serving ML models (e.g. support large models, increase developer velocity, etc)
Monitor the latest ML research for functional ideas that the team could try.
Optimize ML Pipelines – Build and scale efficient pipelines for real-time and batch processing.
Model Monitoring & Improvement – Track performance, detect drift, and automate retraining.
Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences
Collaborate with a team of world-class engineers with diverse backgrounds.
Be part of an “engineering excellence” culture through state-of-the-art tools, risk-driven testing, explainable systems, and code review.

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