Senior Machine Learning Engineer

Job not on LinkedIn

🔥 8 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

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Talent Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Talent Inc. is a career development company focused on helping individuals enhance their job-seeking process and career progression. They provide a range of services including professional resume building, cover letter creation, and career coaching to assist clients in landing their desired positions. Their platform offers tools such as AI career assessments, job application automation, interview preparation, and salary negotiation assistance to support users at various stages of their career, from students and early career professionals to executives looking to make a significant career change.

📋 Description

• Own machine learning products end to end, from problem definition through production and outcome measurement • Lead discovery, design, building, shipping, and evaluation of ML products • Run experiments, assess results honestly, and decide when to discontinue unsuccessful work • Build canonical datasets and entity-resolution systems for titles, companies, skills, and industries • Develop rules-based resolution pipelines with LLM escalation and durable alias graphs • Operate agent loops that adjudicate ambiguous entities and propose gated structural changes • Build job ingestion systems with multi-source feeds, deduplication, freshness, and indexing optimization • Develop retrieval, ranking, matching, two-tower retrieval, cross-encoder reranking, hard-negative mining, and propensity weighting systems • Build mobility embeddings from observed career sequences and develop pivot-feasibility recommendations • Fine-tune models where justified by cost and outcomes • Build production agentic systems with human approval gates • Infer skills continuously from work artifacts • Create product surfaces using LLMs when appropriate • Build evaluation infrastructure using time-forward splits, calibration, offline-to-online agreement, and feedback-loop analysis • Design ML systems within GDPR, EU AI Act high-risk employment AI, and client data constraints

🎯 Requirements

• 5+ years shipping ML systems into production • Ability to name the system, the metric before and after, and how you knew the model caused the change • Depth in classical ML and deep learning applied to live products, not notebooks and Kaggle sets • PyTorch or TensorFlow experience • Working fluency with LLMs in production, including retrieval, evals, prompt and context engineering, and judgment about when an LLM is the wrong tool • Experience shipping with agentic coding tools such as Claude Code, Claude Design, or close equivalents, with demonstrable work built with them • Strong software engineering fundamentals sufficient to own deploys • Python, Git, AWS/cloud, and containers • Patience for messy, human-authored, self-reported data

🏖️ Benefits

• 100% remote/work-from-home role • Equal Employment Opportunity Employer

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