ML Engineering Lead

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 15%

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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Distill

WebsiteLinkedInAll Job Openings

1 - 10 employees

📣 Marketing

🤝 B2B

💼 Consulting

Marketing • B2B • Consulting

Distill is a design services company that focuses on helping entrepreneurs and startups address business challenges through effective design solutions. They specialize in various aspects of design, including experience design, branding, interaction design, and service design.

📋 Description

• Build core ML services and improve usage of large language models • Generate datasets • Design, implement, deploy and maintain ML models in production • Evaluate and fine-tune large language models • Work on structured data extraction, summarization, search ranking, recommendation, categorization, knowledge graphs, ontologies and text generation • Improve the accuracy and loading speed of people and company profile pages • Build new research experiences across people and companies • Make long-term architecture decisions • Gather datasets across the platform and the web • Keep up to date with ML, LLM and NLP research • Work closely with the CTO and technical staff to design, implement and monitor robust AI-based systems • Troubleshoot issues, optimize performance and improve reliability

🎯 Requirements

• 5+ years of experience in software engineering, with a focus on machine learning • Good understanding of recent developments in NLP, including transformers, language models, question answering and information retrieval • Ability to work in a self-directed manner as the sole ML engineer on a team • Experience training and deploying models to production systems • Exceptional problem-solving skills and creativity in overcoming technical challenges • Ability to work independently and in a fast-paced startup environment • Experience working with production systems in Node.js / Typescript (nice to have) • Experience leading and managing ML teams (nice to have) • Experience serving models in a cloud platform, e.g. AWS Sagemaker (nice to have) • Experience working with unstructured web scraping data (nice to have)

🏖️ Benefits

• Health insurance • Dental care • Home office stipend • Expenses covered for in-person team meetups • Remote team with quarterly in-person meetups • Flexible work environment • Opportunity to work with cutting-edge technologies • Opportunity to make a significant impact at a small, growing startup • Collaboration with world-class engineers • Collaborative and egalitarian culture • Work on a founding engineering team • Opportunity to influence long-term architecture