Machine Learning Engineer, Ranking & Retrieval, Machine Learning, Artificial Intelligence

Job not on LinkedIn

🔥 2 minutes ago

🌐 Mali, United States – Remote

🇲🇱 Mali – Remote 🇺🇸 United States – Remote

💵 $120k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Parallel Partners

WebsiteLinkedInAll Job Openings

1 - 10 employees

💳 Fintech

🤝 B2B

Fintech • B2B

Parallel Partners is a staffing firm specializing in the recruitment of information technology personnel for direct hire positions within the financial services and trading industries. Established in 1995 and headquartered in Chicago, they cater to clients such as international hedge funds, proprietary trading firms, investment banks, online brokerages, and trading software product vendors. Acquired by Next Step Systems in 2014, Parallel Partners focuses on placing high-frequency trading systems and algorithmic trading specialists, as well as providing expertise in financial engineering and risk management.

📋 Description

• 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 • Collaborate with engineering and product teams to deliver reliable ML-powered features

🎯 Requirements

• 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 and problem-solving skills • Experience with embeddings, vector search and ranking models • Experience with production Machine Learning (ML) systems and inference pipelines • Proficiency in Python and PyTorch/JAX • Willingness to complete a 60-minute coding assessment

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Savings Plan Options • PTO