Senior Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Identify high-impact opportunities in machine learning and AI in collaboration with product, engineering, operations, and business teams.

• Design, train, fine-tune, and assess machine learning and deep learning models.

• Work with foundational models that span language, vision, and multimodal applications.

• Create robust datasets, features, training pipelines, and evaluation frameworks.

• Conduct efficient experiments utilizing GPU infrastructure to enhance model quality, speed, and cost-effectiveness.

• Compare various modeling approaches and suggest solutions based on empirical outcomes and business implications.

• Develop reusable modeling components, evaluation frameworks, and implementation patterns.

• Establish interfaces and standards that empower teams to leverage proven AI capabilities.

• Construct reproducible, testable models and supporting systems that are suitable for production environments.

• Collaborate with ML and software engineers on deployment, monitoring, reliability, and model enhancement.

• Convey results, limitations, and trade-offs to both technical and non-technical stakeholders.

• Stay updated on advancements in machine learning and evaluate their practical applications.

• Transform ambiguous business requirements into clearly defined machine learning challenges and measurable success criteria.

• Develop models that enhance customer experiences or operational outcomes.

• Maintain a balance between model quality, complexity, latency, reliability, and cost.

• Create reusable foundations applicable to multiple teams and use cases.

• Elevate technical standards for experimentation, evaluation, and production AI.

⛳️ Requirements

• Bachelor’s or advanced degree in Computer Science, Machine Learning, Electrical Engineering, Applied Mathematics, or a related technical field, or equivalent practical experience.

• At least 5 years of experience in developing machine learning solutions, including advancing models beyond initial experimentation.

• Proficient programming and software engineering skills, particularly in Python.

• Strong foundation in machine learning, statistics, algorithms, data structures, and experimental design.

• Practical experience with PyTorch or TensorFlow.

• Experience in training or fine-tuning transformer-based, vision, or multimodal models.

• Familiarity with GPUs and the practical constraints associated with model training and inference.

• Capability to work with large, complex, and imperfect datasets.

• Ability to manage open-ended problems from initial exploration through implementation and evaluation.

• Proficiency in generalizing successful solutions into reusable capabilities rather than one-off models.

• Strong communication and cross-functional collaboration skills.

• Preferred: Master’s degree or PhD in Computer Science, Machine Learning, or a related field.

• Preferred: Experience with distributed training, model optimization, quantization, or parameter-efficient fine-tuning.

• Preferred: Experience in deploying and monitoring machine learning models in production.

• Preferred: Familiarity with cloud infrastructure, distributed data processing, and modern ML development platforms.

• Preferred: Experience in building AI systems within regulated, risk-sensitive, or high-stakes environments.

• Preferred: Contributions to applied research, open-source projects, patents, or production AI products.

🏝️ Benefits

• Annual base salary ranging from $175,000 to $225,000.

• Bonus opportunities.

• Comprehensive benefits package.

• Flexible remote work arrangements.

• Secure identity verification process utilizing biometric and device validation.

• Equal Opportunity Employer.

• E-Verify is used to confirm employment eligibility.