Machine Learning Evaluation Specialist designing tasks for unsolved ML problems using deep domain expertise. Opportunity for graduates to contribute to challenging AI research tasks on a fully remote basis.
About the role
- Applied AI Engineer at Mistral AI integrating AI products for clients, managing complex technical challenges while working in a collaborative environment.
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
Requirements
- 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
- Ideally you have:
- 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
Benefits
- 💰 Competitive salary and bonus structure
- 🚀 Generous Equity
- 🧑⚕️ Health : Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents)
- 👴🏻 Pension : 401K (6% matching)
- 🏝️ PTO : 18 days
- 🚗 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)
- 🌎 Visa sponsorship
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Machine Learning Specialist developing and deploying innovative ML/DL solutions to monitor space environment at NorthStar Earth & Space. Collaborating with a multidisciplinary team to address space traffic management challenges.
LP
Material handler or machine operator
LinkedIn Recruiter Post
Direct hire permanent role for Material Handler or Machine Operator in Brantford, ON. Pay rate $25 - $30/hour with night premium and overtime on 12 - hour continental shifts.
Machine Learning Engineer developing AI Agents utilizing LLMs for contact centers. Collaborating with engineering teams to integrate cutting - edge AI solutions in production environments.
Senior Machine Learning Engineer developing next - gen AI systems at Cresta. Leading high - impact AI initiatives and collaborating with cross - functional teams in a remote setting.
Senior Machine Learning Engineer focused on model optimization algorithms at Red Hat. Contributing to deep learning software and collaborating with product and research teams in open - source context.
Machine Learning Engineer designing and deploying ML pipelines at a fintech platform in Canada. Collaborating with engineers to optimize models and performance while implementing MLOps best practices.
Senior ML Engineer developing and improving ML Ops frameworks for autonomous vehicle solutions at Torc Robotics. Collaborating with developers to drive future innovations in autonomous freight on a global scale.
Lead Machine Learning Engineer at Torc Robotics improving frameworks for autonomous vehicles. Join a team that develops advanced solutions in the autonomous vehicle space.
ML Engineer role at Eqvilent constructing systems for data validation and ML models. Involves data pipelines, exploratory analysis, and machine learning model evaluations.