Field Engineer, AI Labs

Job not on LinkedIn

🔥 2 minutes ago

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $175k - $232k / year

⏰ Full Time

🟢 Junior

🔧 Field Service Engineer

🚫👨‍🎓 No degree required

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Turing

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2018

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Turing is a leading company in the field of artificial intelligence, specializing in the advancement of AGI (Artificial General Intelligence) and the evaluation and training of large language models (LLMs). Turing offers a comprehensive range of AI solutions, including model performance assessments, multimodal capabilities integration, and custom engineering for enterprises looking to optimize their AI operations. The company bridges cutting-edge AI research with practical applications, empowering organizations to leverage advanced AI for various real-world challenges.

📋 Description

• Connect frontier model APIs and inference endpoints into evaluation harnesses • Execute large-scale benchmark runs across proprietary Turing datasets covering reasoning, coding, multimodal, agentic environments, and GDP Val • Analyze evaluation results, isolate failure cases, detect model behavioral drift, and identify data distributions needed to address capability gaps • Serve as the technical counterpart to sales leads on calls with frontier AI labs and enterprise AI teams • Translate evaluation metrics into reports, client presentations, and technical collateral • Answer technical questionnaires and RFIs regarding data design, task curation, difficulty stratification, and rubrics • Surface client feedback and emerging benchmark requirements to internal R&D and dataset design teams • Operate Turing’s internal data infrastructure, including DataOS, Data Hub, and task catalogs • Query, manipulate, and move data pipelines • Slice and curate custom data subsets based on difficulty thresholds, benchmark rubrics, or top-performing data points • Audit data provenance and maintain specifications across public catalogs and internal dataset inventories • Own last-mile delivery, schema alignment, and packaging of client data deliveries • Work with engineering and quality leads to validate deliverables before client handoff

🎯 Requirements

• 1 to 5 years of professional experience in data science, AI/ML engineering, solutions engineering, or data analytics with a demonstrated transition into generative AI • Strong hands-on Python proficiency • Experience with REST/gRPC model APIs and inference endpoints including OpenAI, Anthropic, Bedrock, and vLLM • Experience with pandas and SQL • Practical experience with model evaluation, benchmark design, or LLM-as-a-judge pipelines • Understanding of benchmark structure, scoring, and debugging • Experience owning projects end-to-end and delivering under tight deadlines • Exceptional written and verbal communication skills • Ability to explain technical evaluation metrics to research scientists and participate confidently in commercial calls • Comfort working with command-line tools, internal tooling, and data manipulation workflows • Preferred: experience at an early-stage AI startup or high-growth technology company • Preferred: experience with evaluation harnesses and agent benchmarks such as Harbor, Terminal-Bench, SWE-bench, or Inspect • Preferred: experience fine-tuning models, open-weights models, or multimodal evaluations • Preferred: familiarity with data quality control, task verification, or synthetic data generation pipelines

🏖️ Benefits

• Equity • Performance incentives • Comprehensive company benefits • Opportunity to work at the frontier of AI • Opportunity to contribute to leading-edge AI research and showcase work at ICLR, ICML, and NeurIPS • Opportunity to bring frontier AI innovation to the enterprise • Collaboration and learning from colleagues with deep AI experience • Startup-level speed, ownership, and impact

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