Machine Learning Engineer
Confie•Huntington Beach, CA
•$110,000 - $130,000•Hybrid
About The Position
Work under the guidance and supervision of the Director, Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models.
Requirements
- Master's degree in a quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics)
- Expertise in manipulating and analyzing large data (e.g. exploratory analysis, model fitting, and visualization)
- Proficient SQL skills and experience working with large data sets (big data, IoT data)
- Proficient with programming and modeling using Python
- Knowledge of modeling in pre-training & fine tuning foundation LLM models
- Knowledge of LangChain and sentence transformer frameworks
- Knowledge of ChatGPT4 (or comparable models)
- Experience applying current machine learning techniques
- Knowledge of evolving data science concepts and best practices
Responsibilities
- Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework
- Develop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing techniques and rigorous statistical analysis
- Utilize LLMs and Generative AI to provide software automation capability integrations
- Build and operationalize Retrieval Augmented Generation (RAG) frameworks
- Enhance, develop, and deploy production-level machine learning models and algorithms that will improve Confie's business outcome/customer experience
- Perform data cleansing, analysis, and feature engineering using Python
- Ability to work with multiple data sources and types (structured/semi-structured/unstructured)
- Assess the effectiveness and accuracy of new data sources and execute data-wrangling techniques
- Participate and support other teams, as needed, for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting
- Communicate technical results in a clear, concise, and effective manner with emphasis on data visualization techniques
- Collaborate with Data Scientists, Data Engineers, and Data Architects on production systems and applications
- Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning
- On call support
Benefits
- Comprehensive benefits package including medical, dental, vision, and life insurance
- Performance-based bonuses to reward your contributions
- Paid time off to recharge and maintain a healthy work-life balance
- Flexible work options, including remote and hybrid opportunities, if eligible
- Retirement Plan (401k) with company-matched contributions
- Education Advancement, for employees and qualified dependents, via the Confie Enablement Scholarship Fund
- Fitness Reimbursement – up to $15/month for gym memberships
- Inclusive workplace through a strong commitment to Diversity, Equity, and Inclusion
- Employee Assistance Program – confidential support for personal or professional challenges, at no cost
- Extra Perks – optional plans for disability, hospital indemnity, health advocate program, universal life, critical illness, accident insurance, and even pet insurance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
