Senior Machine Learning Engineer
Lead projects building and deploying large-scale ASR, NLP, and LLM systems for meeting intelligence. Requires 5+ years building production ML systems with PyTorch/JAX and experience with speech/language models.
Senior Machine Learning Engineer - Credit
Senior ML Engineer focused on building, deploying, and monitoring credit underwriting models. Requires 6+ years production ML experience, fintech lending knowledge, and Python/Spark proficiency.
229k – 315kSan Francisco, CANew York, NYSeattle, WAML EngineeringHybrid6+ YOE
About the role
Responsibilities
- Build machine learning systems that empower millions of users through well-known and emerging fintech applications with access to financial services
- Experiment with cutting-edge machine learning modeling techniques across high-impact credit use cases
- Work on both 0-1 stage problems and scaling systems from 1-10
- Develop AI and machine learning models across the full lifecycle, from offline training to online serving and monitoring
- Design, build, and deploy scalable ML solutions and systems in a production environment
- Collaborate with teams across Plaid to define the machine learning roadmap
- Dive deep into data and apply data-driven decision-making in day-to-day work
- Operate with high ownership on a bottom-up driven team
Requirements
- 6+ years of experience training and serving AI and machine learning models in a production environment
- Experience in fintech lending, with a strong understanding of how models are built in that space
- Experience building or working with data-intensive backend applications in large distributed systems
- Ability to code and iterate independently using tools such as Python, Spark, Jupyter notebooks, and standard machine learning libraries
- Strong ownership mindset and a track record of driving projects to business impact
- Ability to work effectively with both technical and non-technical teams
- Master’s degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field
Nice to Haves
- Data analytics and data engineering experience
Skills
PythonSparkMachine LearningNatural Language ProcessingAnomaly DetectionTime Series ForecastingOptimizationJupyter NotebooksDistributed SystemsData Engineering
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