Applied AI Engineer, ML Infra - Palo Alto
Company: Mistral AI
Location: Palo Alto
Posted on: April 6, 2025
Job Description:
About MistralAt Mistral AI, we believe in the power of AI to
simplify tasks, save time, and enhance learning and creativity. Our
technology is designed to integrate seamlessly into daily working
life.We democratize AI through high-performance, optimized,
open-source and cutting-edge models, products and solutions. Our
comprehensive AI platform is designed to meet enterprise needs,
whether on-premises or in cloud environments. Our offerings include
le Chat, the AI assistant for life and work.We are a dynamic,
collaborative team passionate about AI and its potential to
transform society. Our diverse workforce thrives in competitive
environments and is committed to driving innovation. Our teams are
distributed between France, USA, UK, Germany and Singapore. We are
creative, low-ego and team-spirited.Join us to be part of a
pioneering company shaping the future of AI. Together, we can make
a meaningful impact. See more about our culture on .About The
JobMistral AI is seeking an Applied AI Engineer focused on DevOps
to facilitate the adoption of its products among customers and
collaborate with them to address complex technical
challenges.Applied AI Engineers, ML Infra at Mistral AI work
directly with customers to quickly understand their greatest
challenges and design and implement AI solutions. In this role,
you'll apply your problem-solving ability, creativity, and
technical skills to help organizations use AI to drive real impact
in the world. You'll have the opportunity to gain rare insight into
and contribute to some of the most important industries and
institutions globally!Applied AI Engineers, ML Infra
responsibilities look similar to those of a startup CTO: you'll
work in small teams and own end-to-end execution of high-stakes
projects. A day might span discussing architecture with fellow
engineers, wrangling massive-scale data, coding a custom web app,
speaking with customer executives, or establishing a strategy for
the Applied Engineering team.What you will do
- You'll be responsible for onboarding customers on our products,
providing guidance on deployment and integration, and ensuring the
best production setup from the low-level GPU stack up to
infrastructure, back-end and front-end interfaces.
- You'll work on deploying state-of-the-art AI applications from
consumer products to industrial use cases, driving with our
customers a crucial technological transformation.
- You'll work in collaboration with our researchers, other AI
engineers, and product engineers on our most complex customer
projects involving deployment, scaling, 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.About you
- You are fluent in English.
- You hold a Bachelor's or Master's degree in Computer Science,
Engineering, or a related field.
- You have 2+ years of experience in a DevOps or Site Reliability
Engineering role.
- You're experienced with deploying and managing AI-based
products in production environments.
- You are fluent in Python.
- You have experience with containerization technologies such as
Docker and Kubernetes.
- You have experience with CI/CD pipelines and automated
deployment tools.
- You have deep understanding of cloud platforms (AWS, Azure,
GCP) and on-premises infrastructure.
- You are experienced with infrastructure as code (IaC) tools
such as Terraform or Ansible.
- You hold strong communication skills with an ability to explain
complex technical concepts in simple terms to technical and
non-technical audiences.Ideally you have:
- Experience as a Customer Engineer, Forward Deployed Engineer,
Sales Engineer, Solutions Architect, or Technical Product
Manager.
- Familiarity with AI frameworks such as PyTorch or
TensorFlow.
- Contributions to open-source projects, particularly in the
space of DevOps or AI.BenefitsFrance
- Competitive cash salary and equity.
- Food: Daily lunch vouchers.
- Sport: Monthly contribution to a Gympass subscription.
- Transportation: Monthly contribution to a mobility pass.
- Health: Full health insurance for you and your family.
- Parental: Generous parental leave policy.
- Visa sponsorship.USA
- 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.UK
- Competitive cash salary and equity.
- Insurance.
- Transportation: Reimburse office parking charges, or
90GBP/month for public transport.
- Sport: 90GBP/month reimbursement for gym membership.
- Meal voucher: -200 monthly allowance for meals.
- Pension plan: SmartPension (percentages are 5% Employee & 3%
Employer).SingaporeEarly days in Singapore, in the process of
building.
#J-18808-Ljbffr
Keywords: Mistral AI, San Francisco , Applied AI Engineer, ML Infra - Palo Alto, Engineering , Palo Alto, California
Didn't find what you're looking for? Search again!
Loading more jobs...