Machine Learning Data Engineer
PHDTech
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • United States
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Salary
💰 $120,000 - $190,000 per year
Job Level
About the role
- Research, develop, and implement data and machine learning pipelines
- Manage and optimize the manufacturing process
- Collaborate with manufacturing data including real-time sensor readings
- Build systems that learn from high dimensional and heterogeneous datasets
- Work with the latest techniques from deep learning, AI for timeseries, and recommendation systems
- Collaborate with product teams on system development
Requirements
- 1-3 years professional experience as an ML Engineer/Data Engineer
- Advanced degrees (M.S. or PhD) in Machine Learning or related fields
- Proficient with distributed data processing (e.g., Apache Beam, Spark)
- Skilled in ML workflows and open source tools (e.g., MLFlow)
- Proficient in Python and common ML libraries
- Experience with SQL and GCP is a plus
- Familiarity with unstructured data and Generative AI is a plus
- Willingness to own projects end-to-end
Benefits
- Equity and benefits
- Career development pathways for growth and advancement
- Commitment to a fulfilling work environment
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata pipelinesdeep learningAI for timeseriesrecommendation systemsdistributed data processingML workflowsPythonSQLunstructured data
Soft Skills
collaborationproject ownershipoptimization
Certifications
M.S.PhD