Applied Machine Learning (ML) Engineer, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home

Applied Machine Learning (ML) Engineer, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home

$120K/yr - $160K/yr

Human Resources

Information Technology

Recruiting

Responsibilities

• Build and improve Machine Learning (ML) models for classification, ranking, retrieval and personalization
• Develop efficient classifiers and optimize model accuracy, precision, latency and cost
• Improve search relevance and context retrieval using embeddings, hybrid search and reranking
• Build personalization models that learn from user behavior while respecting privacy
• Develop evaluation pipelines, labeled datasets and metrics to measure model quality
• Fine-tune and adapt existing models when supported by sufficient data
• Build and maintain Machine Learning (ML) training, inference and deployment pipelines
• Debug production issues, monitor model performance and ship improvements based on real-world feedback

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Savings Plan Options
• PTO
• 100% Remote
• IT recruiting and staffing for financial services and trading.
• Naperville, Illinois, USA
• https://parallelpartners.com
• Leadership Team
• Saven Bellarmino
• President
• Company data provided by
• AI Tools
• Customize Your Resume
• Maximize your interview chances
• Build Cover Letter
• Make your application stand out
• Analyze How Well You Fit
• Understand your strength & weakness

Qualifications

• Machine Learning (ML) experience is required
• Artificial Intelligence (AI) experience is required
• Strong foundations in Machine Learning (ML) and modern neural architectures
• Hands-on experience building and deploying Machine Learning (ML) models in production
• Experience in classification, ranking, retrieval, recommendation systems or personalization
• Understanding of model evaluation, experimentation and performance metrics
• Comfortable writing production-quality code and working with real-world datasets
• Able to balance model quality, latency, cost and reliability
• Strong ownership, problem-solving skills
• Embeddings, vector search and ranking models, Production Machine Learning (ML) systems and inference pipelines, Python, and PyTorch/JAX

Required skills

• Artificial Intelligence, Classification, Embeddings, JAX, Machine Learning, Model Evaluation, Modern Neural Architectures, Production Machine Learning, PyTorch, Python, Ranking, Recommendation Systems, Retrieval, Vector Search

Experience

• Mid level