Full-stack Engineer (Backend-focused)

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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About Turing:
Turing is a Palo Alto-based leader in AGI infrastructure and generative AI solutions for Fortune 500 companies. With $140M in funding and a $4B valuation, we are shaping the future of AI. Our team includes top technologists from Meta, Google, Stanford, and beyond, driving innovation at the forefront of artificial intelligence.

Role Overview:
A leading U.S.-based technology company is hiring experienced C++ developers to enhance its next-generation AI-driven dialogue agents. Using the latest technology, the company focuses on creating open-ended, collaborative conversational AI with applications in education, entertainment, and general question-answering.

Responsibilities:

• Review, improve, and validate AI-generated C++ code for quality and efficiency.
• Troubleshoot complex coding issues and contribute to AI system enhancements.
• Manage development cycles, priorities, and deadlines effectively.
• Provide feedback, mentor developers, and foster a culture of innovation.
  
  Job Requirements:
• Bachelor's or Master’s degree in Engineering, Computer Science, or equivalent experience.
• 3+ years of experience as a software engineer with strong C/C++ skills.
• Proven experience in leading teams or mentoring developers.
• Strong problem-solving, strategic thinking, and communication skills
  
  Nice to Have:
• Familiarity with large codebases (50K+ lines) and contributing to public GitHub repositories.
• Experience using GitHub for version control and collaboration.
• Knowledge of training LLM models and building scalable back-end components.
  
  Why This Opportunity Stands Out?
• Engage with top-tier experts, expanding your professional network and expertise.
• This is a contractual remote work opportunity without traditional job constraints.
• Get rewarded with industry-standard salaries in USD.
• Be part of groundbreaking projects that redefine the future of AI.
  
  Note: Shortlisted candidates may be required to complete a coding assessment as part of the selection process.