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Junior Applied AI Engineer, Use-case - Palo Alto

jobright.com
2 hours ago
Full-time
On-site
Palo Alto, California, United States
Applied AI Engineer, Use-case - Palo Alto/NYC

Full-time Onsite 2+ years exp Mistral

AI is a pioneering company focused on democratizing AI through high-performance, optimized, open-source models and solutions. They are seeking an Applied AI Engineer to facilitate product adoption and collaborate with customers on technical challenges from pre-sale to post-implementation stages. Artificial Intelligence (AI) Software Agentic AI Foundational AI Generative AI Machine Learning Natural Language Processing Open Source Virtual Assistant H1B Sponsored Responsibilities

You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces You’ll work on state-of-the‑art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation You’ll individually help deploy into production use cases with a considerable business impact across various industries You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine‑tuning, state-of-the‑art LLM applications, and contributing to our open source codebases for tasks such as inference and fine‑tuning You’ll be involved in pre‑sales calls to understand potential clients’ needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback Qualification

Fine Tuning LLMs Machine Learning Algorithms Python Deep Learning with Pytorch NLP Applications AI Product Implementation Customer Relations Open Source Contribution Technical Guidance Stakeholder Engagement Communication Skills Collaboration Required

You are fluent in English You hold a PhD / master in AI / data science You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases You have deep understanding of concepts and algorithms underlying machine learning and LLMs You're experienced with building and deploying LLMs or NLP applications You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces You have strong technical coding skills in Python You have experience with deep learning with Pytorch You have experience with agents framework such as Langchain, vector DBs You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences Preferred

Contributed to open-source projects in particular in the space of LLMs Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager Competitive salary and bonus structure Health : Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents) Transportation: Reimburse office parking charges, or $120/month for public transport Coaching: we offer Betterup coaching on a voluntary basis Sport: $120/month reimbursement for gym membership Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger) Company

Mistral

Enterprise AI platform for building custom assistants and agents. Mistral has a track record of offering H1B sponsorships. Please note that this does notguarantee sponsorship for this specific role. Below presents additional info for yourreference. ( Data Powered by US Department of Labor) Current Stage Current Stage Late Stage Total Funding Total Funding $4.01B Key Investors ASML DST Global,General Catalyst Microsoft Fine Tuning LLMs Machine Learning Algorithms Python Deep Learning with Pytorch NLP Applications

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