Machine Learning (ML) Engineer, Ranking & Retrieval, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home

Machine Learning (ML) Engineer Ranking & Retrieval Machine Learning (ML) and Artificial Intelligence (AI) Required Work From Home

The Machine Learning (ML) Engineer will build and improve Machine Learning (ML) systems that power our AI-native applications.  You will work on classification retrieval ranking personalization and evaluation taking ownership from model development to production deployment.  This role is for engineers who enjoy solving practical Machine Learning (ML) problems improving model quality and shipping reliable systems used by real users.  Machine Learning (ML) and Artificial Intelligence (AI) experience are required.  This position is 100% Remote.

MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT.

Machine Learning (ML) Engineer 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.

Machine Learning (ML) Engineer Outcomes:

- Machine Learning (ML) models in production meet expected accuracy relevance latency and reliability targets.

- Classification and ranking improvements deliver measurable gains in model quality.

- Evaluation pipelines identify regressions and support reliable model releases.

- Training inference and data pipelines are robust reproducible and maintainable.

- Model improvements are driven by real-world feedback and measurable results.

- Collaborates effectively with engineering and product teams to deliver reliable ML-powered features.

Qualifications :

Machine Learning (ML) Engineer 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

- Tech Stack:  Embeddings vector search and ranking models Production Machine Learning (ML) systems and inference pipelines Python and PyTorch/JAX.

Benefits include medical insurance Dental Vision Savings Plan Options PTO etc.

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Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

Yes

Employment Type :

Full-time