"The culture and experience at Turing is at par with Silicon Valley companies"

Who are we

U.S.-based fintech company specializing in providing real estate investors with streamlined access to capital. The company focuses on offering bridge and rental loans, aiming to simplify and expedite the financing process for residential real estate projects. By leveraging technology and data-driven solutions, we seek to empower investors to make informed decisions and scale their businesses efficiently.

Who we’re looking for 

• We are looking for backend and full-stack engineers. The emphasis will be on the back end. We have both functional and cross-functional teams. The product-oriented teams are cross-functional and can work quickly without relying on dependencies to deliver the most impact in the shortest amount of time. These cross-functional teams operate like small independent business units with their own goals that align with the company's goals.
• Experience: You are a proficient software engineer with 7+ years of professional experience and have worked in Ruby on Rails.
• Team Player: You work in close collaboration with your teammates on a day-to-day basis, and with engineers on other teams when facing cross-cutting challenges. You are willing to ask for and give help.
• Product-focused: You take pride in building high-quality, user-friendly products.
• Problem solver: You excel at understanding and breaking down complex problems. You pay attention to detail. 
• Great communicator: You are candid and honest. You can adapt your communication style to different audiences and you can effectively communicate in writing and in person  or on a video call. 
• Self-driven: You make things happen. You show a strong desire to succeed and are looking for opportunities to learn and grow.
• Productive/Impact-oriented: You understand product requirements and shape your work to achieve maximal impact. You use and improve on team processes and technologies and seek out and eliminate waste.
• Leadership: You show the ability to grow your leadership skills. You engage in  peer-mentorship and focus on sharing your areas of expertise and strengths.

Your day to day 

• Engineer: Implement well-tested features in our web applications and back-end loan origination services.
• Maintain a high quality bar: Champion code quality with thorough PR review, focusing on test automation using unit, integration and end-to-end testing.
• Reduce Technical Debt: Identify and act on opportunities to improve the existing code base before accomplishing the task at hand. 
• Execute: Focus on delivering high impact initiatives that provide value to the customer on a daily basis. 
• Collaborate: Work in a highly collaborative environment both closely with other engineers,and with our design and product teams as well as with our business stakeholders to build the right solutions for our customers.
• Think Customer-first: Ensure that our customers are successful and happy. 
• Define Technical Strategy: Build software consistent with the company’s technical strategy and architectural design. Contribute new ideas and improvements to the architecture.
  

Nice to have

•  Programming Languages: Ruby, JavaScript, TypeScript, and Kotlin are the languages we use most. Ruby is the emphasis for this role.
• Frontend Frameworks: React, GraphQL, Next.js
• Backend Frameworks: Rails, Node.js, Kafka
• Databases: Postgres, Redis 
• Service Oriented Architecture: We are shifting from being a monolithic Rails application to a distributed set of services. Experience having done this in the past is
  super useful to us.
• AppSec: We handle customer’s private information and we move billions of dollars around. Having experience with application security is important to us.

Offer Details

• Contractor position (no medical/paid leave)
• Full-time dedication (40 hours/week)
• 6-hour overlap with PST (Pacific Standard Time)

Sr. Data Scientist/Machine Learning Engineer

Job Summary:

We are seeking a highly skilled Data Scientist/Machine Learning Engineer to design, develop, and deploy advanced machine learning models for our digital advertising recommendation engine. You will leverage years of campaign data, along with performance metrics, to provide clients with data-driven insights on optimal digital product selection, budget allocation, and target demographics. You will work closely with Data Engineers and Backend Engineers to ensure seamless integration and deployment on Google Cloud Platform (GCP).

Responsibilities:

• Design, develop, and implement machine learning models (e.g., regression, classification, collaborative filtering, deep learning) to predict campaign performance and generate recommendations.
• Perform feature engineering, data cleaning, and preprocessing to prepare data for model training.
• Evaluate model performance using appropriate metrics and iterate to improve accuracy.
• Deploy and maintain machine learning models on Vertex AI.
• Utilize BigQuery to extract, transform, and analyze large datasets.
• Optimize model parameters for cost and performance on GCP.
• Collaborate with Data Engineers to build and maintain data pipelines.
• Stay up-to-date with the latest advancements in machine learning and AI.
• Communicate findings and insights to stakeholders through clear visualizations and reports.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• 10+ years of software development experience; 5+ years building ML models
• Proven experience in developing and deploying machine learning models.
• Strong programming skills in Python (with libraries like scikit-learn, TensorFlow, PyTorch).
• Expertise in data manipulation and analysis using SQL and BigQuery.
• Experience with Google Cloud Platform (GCP) and Vertex AI.
• Knowledge of statistical modeling and machine learning algorithms.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Experience leveraging LLM for specific tasks, e.g. improving data quality or generating explainable text from existing datasets.
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