Location: Stockholm
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About Mistral
At 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 https://mistral.ai/careers.
Role Summary:
As our Enterprise Sales Executive, you will be instrumental in shaping Mistral’s adoption with our largest customers across a variety of industries. You will be driving deals end2end: from prospective, first intro call until closing and beyond — together with our dedicated implementation specialist, tech and legal teams.
What you will do:
Lead development (strategic outbound and qualified inbound):
- Handle strategic outreach as well as warm introductions to promising enterprise customers
- Converting inbound deals where upselling / more bespoke agreements can be achieved
Value prop validation for customer:
- Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process
- Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts
Deal management & closing:
- Develop and execute strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level)
- Handle customer negotiation end2end, together with our legal and implementation specialist team
Executive Engagement:
- Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations
- Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives
Technical Aptitude:
- Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients
- Work side-by-side with our implementation team to ensure that customer’s questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase
- Collaborate with our technical team to address any customer inquiries or concerns
Training and enablement:
-Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities
Who you are:
- Proven experience in Sales (enterprise sales/consultative selling, ideally selling a highly complex, technical product)
- Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field
- Significant work experience within AI ecosystem or related data/infrastructure field
- Experience at successful fast growing startup, ideally in deep-tech
- Strong technical skills to navigate quickly evolving products and steer technical discussions
- Excellent English
- Outstanding negotiation and communication skills
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Stockholm; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Location: APAC
About the Role
OKX is looking for a Senior Director of AI to lead both people and product — building and managing a high-calibre AI team while staying deeply involved in the design, evaluation, and production deployment of autonomous agent systems. This role calls for a leader who leads by doing: technically grounded, sharp on product judgment, and able to translate both into tangible business outcomes.
What You'll Do
Team Leadership
— Build, manage, and develop a team of AI engineers and researchers; own hiring, growth, and performance across the function
Agent Product Delivery
— Lead end-to-end delivery of autonomous AI Agent products, covering the full lifecycle from requirements and architecture through to production operations
Eval-Driven Development
— Establish benchmark-driven evaluation frameworks that replace manual iteration with quantifiable quality signals across agent systems
Agent Harness Design
— Design and implement end-to-end Agent Harness infrastructure to ensure agent stability and reliability in complex, real-world scenarios
LLM
Orchestration
— Orchestrate creative reasoning steps alongside deterministic guardrails, finding the right balance between flexibility and control
Engineering Workflow Integration
— Embed AI Agent capabilities deeply into core products and engineering pipelines, improving both developer productivity and business value
Cross-functional Alignment
— Collaborate with product, engineering, and business teams to ensure technical direction stays tightly aligned with strategic priorities
What We're Looking For
Must-have
Master's or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred)
10+ years of experience in AI/ML research, productization, or platform development, including core technical or leadership roles at globally recognized technology companies
Deep expertise in LLMs and Generative AI, deep learning, reinforcement learning, recommendation systems, and related areas
Proven track record of translating AI capabilities into measurable business outcomes
End-to-end delivery experience with autonomous AI Agent products, from inception and architecture through to production operations
Hands-on experience integrating AI deeply into engineering and development workflows — such as AI coding assistants, automated code review, or developer productivity tooling
Proficiency in Mandarin and English is required to collaborate across our multilingual, cross-regional teams
Nice to have
Background at an AI-native startup or frontier AI lab, with familiarity with fast-cycle product iteration
AI publications, patents, or industry-recognized technical contributions
Familiarity with the unique technical challenges of applying AI in crypto, fintech, or high-frequency data environments
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role summary
On average, our team leads are responsible for teams of about five people, owning both execution and delivery while remaining hands-on. You will split your time dynamically between individual contribution and leadership, with the balance shifting as your team grows.
You will collaborate closely with engineering teams to ship improvements that directly accelerate development velocity, enhance code quality, and streamline workflows across our AI platform and products: AI Studio, Le Chat, and Mistral Vibe. You will be responsible for creating a strong team culture, setting clear processes, raising the developer experience bar, and ensuring consistent high-quality delivery of developer tooling and infrastructure.
This is a highly critical role at the intersection of developer productivity, infrastructure, and people. You will help shape how our engineering organization builds at scale. If you enjoy building developer platforms, leading ambitious engineers, and shipping tooling that supercharges productivity, this role is for you.
What you will do
• Empower Your Team: Act as the clear point of contact for your team and its projects. Remove obstacles, unblock execution, and create an environment where engineers can focus on building impactful developer tools and platforms.
• Lead Delivery and Accountability: Own the delivery of your team’s roadmap for developer experience improvements, including projects like enhancing CI/CD and build systems, optimizing cloud registries (Docker, Azure, GCP), implementing static and dynamic code analysis tools, and automated vulnerability analysis. Ensure projects are shipped with the right level of quality, reliability, and performance.
• Bridge Engineering and Productivity: Partner closely with engineering teams to define the roadmap and priorities for developer experience. Scope initiatives, estimate engineering effort, and drive prioritization decisions based on developer productivity impact and technical necessity. Keep the whole team involved and engaged in the product direction.
• Hands-on Technical Leadership: Stay deeply involved in architecture design, system design, coding, peer reviews, and technical decision-making for developer tooling. Lead by example and remain connected to the day-to-day challenges of the team.
• Process and Clarity: Define and evolve team processes, best practices, and execution rituals for developer workflows. Ensure they remain relevant as the team and product scale.
• Raise the bar: Challenge engineers to step up, take ownership, and grow beyond their comfort zone. Increase the team’s bus factor through knowledge sharing, documentation, and rotation of responsibilities. Champion a culture of continuous improvement in developer productivity.
About you
• 5+ years of relevant professional work experience in Developer Experience (DevEx), DevOps, or related fields.
• Master’s degree in Computer Science, Information Technology, or a related field.
• Proficiency in scripting and programming languages (Python, JavaScript/TypeScript, Go) and experience with infrastructure as code tools.
• Experience with building and leading high-performing teams in developer tooling or infrastructure.
• Experience working with cross-functional teams including product, design, and business.
• Experience with project management and planning for infrastructure and tooling initiatives.
• Ownership and capacity to ship developer tooling and platforms end-to-end.
• Strong experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), cloud infrastructure (AWS, GCP, Azure), build systems, container registries, and developer tooling.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: London, UK
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
THE ADVENTURE AHEAD 🚀
Docebo is on a thrilling mission to actively build—not just maintain—an incredible regional marketing motion across EMEA, and we are looking for a true builder to lead the way. As the VP of Marketing, EMEA, you will masterfully own the strategy and execution that drives explosive growth, pipeline, and enterprise penetration across vital markets like the UK, SEEMA, DACH, and France. By brilliantly navigating the intersection of global brand consistency and local market realities, you'll construct a scalable go-to-market machine and co-own revenue outcomes hand-in-hand with our regional Sales leadership
THE DAY-TO-DAY 🎯
- Architect the Strategy: Develop and execute Docebo's dynamic regional marketing strategy across Europe, tying it directly to pipeline targets and revenue outcomes.
- Partner for Pipeline: Co-own the pipeline with regional Sales leadership—operating as a strategic partner fully accountable to the exact same numbers, not merely as a service function.
- Drive the Campaigns: Lead comprehensive regional campaign planning, taking charge of digital marketing, events, partner marketing, and customer marketing initiatives.
- Translate the Narrative: Take Docebo's powerful global AI product narrative and creatively craft messaging that deeply resonates with European enterprise buyers.
- Balance the Brand: Ensure that all regional programs accurately reflect local market dynamics while rigorously maintaining Docebo's global brand and positioning standards.
- Build the Team: Develop and lead a high-performing regional team, including field and regional marketing leaders, to create a culture of accountability, growth, and cross-functional trust.
- Master the Resources: Serve as the strong voice for the EMEA market in global executive discussions while managing regional marketing budgets, agency relationships, and performance reporting with rigor.
YOUR SUPERPOWERS 🦸♀️🦸♂️
- Marketing Maestro: Bring 14+ years of progressive B2B SaaS marketing experience with meaningful, high-level leadership responsibility to the table.
- Revenue Rainmaker: Showcase a proven track record of leading international or regional marketing organizations with direct, measurable accountability for pipeline and revenue impact.
- ABM Authority: Possess deep fluency in Account-Based Marketing (ABM) strategy and execution, fundamentally knowing what excellent execution actually looks like.
- Strategic Peer: Demonstrate your experience in co-owning pipeline targets with revenue leadership and comfortably operating as a trusted peer to other regional leaders.
- Campaign Champion: Leverage your strong background in demand generation, digital marketing, impactful events, and holistic integrated campaigns.
- Data-Driven Decision Maker: Utilize your strong analytical capabilities to actively make strategic decisions with data, rather than just justifying them after the fact.
- Globetrotting Leader: Manage budgets and agencies across multiple markets with exceptional stakeholder skills, and travel regularly across key EMEA markets (UK, Germany, France) with quarterly trips to our headquarters.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
RELOCATION TO CYPRUS | EXNESS
Location: Based in Limassol office, Cyprus. Full relocation support available for you and your family.
Company: Leading trading broker handling 40M+ trades a day with 2,000+ people across 13 countries serving 1M+ clients worldwide.
What you will do:
— Collaborate with stakeholders to gather requirements and translate them into analytical solutions and reports
— Define, standardize, and maintain key business metrics and KPIs across teams
— Analyze data to identify gaps, inefficiencies, and opportunities, proposing actionable solutions
— Build, test, and maintain scalable data models, datasets, and intuitive dashboards using Tableau
— Ensure data quality, consistency, governance, and automate reporting processes
— Validate hypotheses, monitor KPIs, and deliver visually compelling insights for decision-making
Requirements:
— English proficiency (check if needed)
— Bachelor’s or Master’s in Mathematics, Software Engineering, or Computer Science
— 5+ years in BI: data analysis, visualization, reporting automation, full-cycle dashboard development
— Strong SQL and analytical databases (Vertica, ClickHouse, Trino, Starrocks)
— Proficiency in Tableau Desktop, dimensional modeling, metric governance, self-service analytics
— Solid data analysis methods, basic statistics; understanding of AI/LLM in analytics
Nice to have:
— Tableau Certified Data Analyst or Architect
— Experience with Semantic Layer / metrics layer / analytics engineering tools
Culture & Benefits:
— Competitive salary and annual bonus
— Top-tier health insurance with family coverage (medical, dental, vision, mental health), life insurance
— 21 days annual leave, public holidays, paid sick/maternity/paternity leave
— Unlimited learning: courses, English lessons, career development; education allowance for school/kindergarten
— Relocation support: flights, housing, visas, legal assistance; expat tax perks up to 50% exemption
— Company car (MINI Cooper Countryman), gym access, sports clubs, corporate doctor, discounts, share scheme
Hiring process:
— Intro call with Recruiter (30 min)
— English check (if needed)
— Tech interview (90 min) + Test Task (up to 5 days)
— Behavioural (60 min) + Final interview (30 min)
ОфисBI ANALYST | RELOCATION TO CYPRUS | EXNESS #relocation to #cyprus #fulltime #itjob #analyst #bi https://teletype.in/@courierus/upN8m_rO5iQ; RELOCATION TO CYPRUS | EXNESS Location: Based in Limassol office, Cyprus ; Full relocation support available for you and your family; What you will do Collaborate with stakeholders to gather requirements and translate them into analytical solutions and reports Define, standardize, and maintain key business metrics and KPIs across teams Analyze data to identify gaps, inefficiencies, and opportunities, proposing actionable solutions Build, test, and maintain scalable data models, datasets, and intuitive dashboards using Tableau Ensure data quality, consistency, governance, and automate reporting processes Validate hypotheses, monitor KPIs, and deliver visually compelling insights for decision-making Requirements English proficiency (check if needed) Bachelor’s or Master’s in Mathematics, Software Engineering, or Computer Science 5+ years in BI: data analysis, visualization, reporting automation, full-cycle dashboard development Strong SQL and analytical databases (Vertica, ClickHouse, Trino, Starrocks) Proficiency in Tableau Desktop, dimensional modeling, metric governance, self-service analytics Solid data analysis methods, basic statistics; understanding of AI/LLM in analytics Nice to have Tableau Certified Data Analyst or Architect Experience with Semantic Layer / metrics layer / analytics engineering tools Culture & Benefits Competitive salary and annual bonus Top-tier health insurance with family coverage (medical, dental, vision, mental health), life insurance 21 days annual leave, public holidays, paid sick/maternity/paternity leave Unlimited learning: courses, English lessons, career development; education allowance for school/kindergarten Relocation support: flights, housing, visas, legal assistance; expat tax perks up to 50% exemption Company car (MINI Cooper Countryman), gym access, sports clubs, corporate doctor, discounts, share scheme Hiring process Intro call with Recruiter (30 min) English check (if needed) Tech interview (90 min) + Test Task (up to 5 days) Behavioural (60 min) + Final interview (30 min) APPLY
Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Department overview:
At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The
CLV team
focuses on understanding player behaviour and driving more effective engagement across the player lifecycle — from acquisition and onboarding through to retention, monetisation, and long-term value.
As a
Data Scientist
, you will develop models and insights that help drive more personalised player experiences and inform commercial and product decisions at scale. You will work in cross-functional teams to translate player behaviour into actionable strategies that drive measurable improvements in player engagement and value.
This role is ideal for an individual who is comfortable owning problems end-to-end — from framing and modelling through to delivering impact — and partnering with stakeholders to support data-informed decision-making.
What you’ll be doing:
Own the development and delivery of machine learning models for use cases such as churn prediction, purchase propensity, store recommendations, customer lifetime value.
Translate business problems into modelling approaches, selecting appropriate methods and features to deliver measurable impact.
Work with large-scale behavioural and transactional data to uncover patterns and opportunities for player growth and engagement.
Collaborate within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are robust, scalable, and aligned with business needs.
Partner with stakeholders across commercial, finance, and lifecycle teams to support decision-making with data-driven insights.
Clearly communicate findings and recommendations to both technical and non-technical audiences.
Develop and expand your understanding of more advanced modelling approaches (e.g. deep learning and sequence-based methods) as part of solving increasingly complex problems.
What we are looking for:
You're curious, analytical, and a strong problem-solver, with a structured approach to tackling business problems. You bring strong foundations in modelling and data manipulation, and are motivated by applying these to impactful, commercial problems.
Experience building predictive models (e.g. churn, propensity, segmentation, or value modelling) in a commercial setting.
Ability to independently take a problem from definition through to solution and delivery, demonstrating initiative and ownership.
Proficiency in Python and SQL, and familiarity with common data science and ML libraries.
Solid understanding of machine learning techniques (e.g. regression, tree-based models, clustering) and when to apply them, including how to refine and tune them for real-world problems.
Strong communication and collaboration skills, with the ability to clearly articulate insights and work effectively with cross-functional stakeholders.
Awareness of modern machine learning approaches (e.g. embeddings, sequence models, deep learning) and interest in applying them to real-world problems.
Experience working with large datasets to generate actionable insights.
A strong academic background, typically a Master’s or Ph.D. in a quantitative or technical field (e.g. Mathematics, Statistics, Computer Science).
Nice to Have:
Familiarity with production environments, MLOps, or data pipelines.
Experience working with large-scale data using PySpark or equivalent distributed data processing tools.
Experience in gaming, e-commerce, or subscription-based products.
Benefits:
Discretionary bonus opportunity
Private Medical Insurance
Dental Scheme
25 days holiday per year
On Site Gym
Subsidised Café
Free soft drinks
On site bar
Access to cycle garage and showers
Please refer to our
Candidate Privacy Notice
for more information about how we process your personal information, and your data protection rights.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Seoul
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About The Job
Mistral AI is seeking a founding Head of Applied AI Engineering, to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
The role is an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases. They work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.
In this role, you’ll lead customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalizing our research in production settings.
What you will do
- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
About you
- You are fluent in English and Korean native
- You hold a PhD / master in AI / data science/ software or you’re self-made
- You have 10+ 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, OR
- You have strong technical coding skills in Python and TypeScript, and experience with front-end and backend frameworks such as React/ NextJS/ VueJS, and NodeJS
- You have deep understanding of concepts and algorithms underlying machine learning and LLMs
- You have a solid understanding of software development principles, including design patterns, data structures, and algorithms.
- You have a deep understanding of Cloud Infrastructure and how to deploy AI based products
- You have deployed or built products with large scale user based
- 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 LLM
- Experience with LLM/GenAI models
- Experience as a hands-on CTO, VP Engineering, Director Engineering, Head of ML, Forward Deployed Engineering leadership, and related scopes
- Experience founding a startup or as a founding member of a fast growing startup
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the team
Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of demonstrating how AI tools can accelerate scientific workflows and enable discovery.
About the role
We are hiring Research Associates: early-career bench scientists who will join a small team to help establish our biology research program. This is an entry-level role, great for individuals who have done some research during an undergrad or masters program and may be considering pursuing a PhD in Life Sciences in the future.
You'll work directly alongside senior scientists, executing and troubleshooting experiments at the bench while learning advanced techniques in a fast-moving, highly collaborative environment. We value curiosity, careful hands, and the willingness to take ownership of a result. Our scientists are eager to teach; we're hiring for motivation and trajectory as much as for existing skill.
This is a fully hands-on bench role — while familiarity with computational biology and bioinformatics is welcome, the role does not involve AI/ML model development.
Key responsibilities
Execute molecular biology and biochemistry experiments at the bench under the direction of senior scientists
Maintain meticulous, reproducible records and contribute to shared protocols
Troubleshoot experiments, propose adjustments, and present results clearly in group meetings
Maintain mammalian and bacterial cell lines, materials stocks, and reagent inventories
Learn and adopt new techniques rapidly as projects evolve, with training provided
Minimum qualifications
Have hands-on research experience in molecular biology, biochemistry, or a closely related field
Are proficient with foundational molecular biology techniques: PCR, gel electrophoresis, molecular cloning, and plasmid preparation
Have experience with aseptic technique and bacterial or mammalian cell culture, and with nucleic acid extraction, purification, and quantification
Follow, document, and adapt experimental protocols with care and precision
Are highly motivated, eager to learn, and energized by hands-on bench work
Are practical and resourceful — you'd rather find a way through than a reason it can't be done
Listen carefully, take feedback well, ask good questions, and are comfortable when priorities shift quickly
Are excited to use AI models as a tool at the bench to plan experiments, interpret data, and decide what to try next
Preferred qualifications
A BS or MS in molecular biology, biochemistry, chemical biology, microbiology, bioengineering, or a related discipline
Protein expression and purification experience (e.g., affinity, SEC, IEX)
Mammalian cell culture experience, including transfection and stable line maintenance
Enzyme kinetics or quantitative biochemical assay development (fluorescence, absorbance, FRET)
Next-generation sequencing library preparation experience
Familiarity with common bioinformatics workflows and molecular biology software (e.g., sequence analysis, alignment, primer and construct design)
Experience using AI tools such as Claude in a research setting — for literature review, protocol drafting, data interpretation, or experimental troubleshooting
This is a rare opportunity to help define how a frontier AI company does biology. You'll learn quickly, work closely with people who want to teach, and see your results feed directly into how the most capable AI models are evaluated and improved.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$95,000
—
$120,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote (USA)
At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo.
We’re looking for an AI Solutions Engineer to join our team.
Who you are
You're a thoughtful, creative problem-solving engineer who thrives at the intersection of cutting-edge technology and real-world impact. With deep experience in AI, LLMs, RAG-based architectures, and machine learning, you have an impeccable intuition for turning emerging capabilities into innovative, practical solutions. You’re equally adept at rapidly prototyping ideas in scrappy R&D sprints as you are at shipping robust, scalable code into production. Navigating both architectural design and hands-on implementation comes naturally to you, and you quickly master unfamiliar technologies. You articulate complex technical requirements clearly to internal teams and confidently engage in strategic discussions with client partners. Your engineering principles are mature yet adaptable, shaped by continuous learning, collaboration, and the evolving technological landscape. You're curious and pragmatic, driven by craft to build intelligent systems that are intuitive, performant, and thoughtfully designed. You're passionate about shaping an ethical, innovative, and impactful future for AI.
What you will be doing
Work closely with clients to understand their business goals around implementing AI technologies, present sustainable and achievable technical solutions, and adjust strategies based on feedback.
Guide and mentor engineering teams with your AI expertise, both internally to Livefront and externally with the client, by setting technical standards, conducting code reviews, and contributing to product vision.
Engage in technical spikes to explore new technologies and methods.
Lead the design of robust architectures tailored to client needs and implement these solutions hands-on, ensuring scalability and maintainability.
Design, develop, and integrate APIs, data pipelines, and end-to-end infrastructure that ensure seamless communication between systems. Help optimize performance and enable AI models to be useful, scalable, and maintainable.
Adapt your skills across diverse projects, including API design, real-time technical support, and DevOps, demonstrating versatility and responsiveness to varied client needs.
Collaborate cross-functionally, streamlining communication between backend teams, frontend teams, designers, and other team members.
Why you should apply
You want to work with passionate and talented people who are always looking for ways to make things better.
You desire a work environment where respect, mutual trust, and egoless collaboration are paramount.
You want colleagues who take their work seriously but not themselves, and who know how to find fun in the work.
You like being part of a team that has a reputation for excellence and gives back to the community by educating, mentoring, and sponsoring.
You want to work on products and accounts that have outsized impact and reach.
You believe in sweating the details, committing to quality, and taking pride in going the extra mile.
What you bring to the table
At least 7-10 years of software engineering experience, preferably in a consulting environment or as part of an in-house, cross-functional product team.
Full-stack engineering experience in web or native mobile.
Experience with Python/JavaScript, Cloud Infrastructure & DevOps, LLMs & RAG Architecture, and event-driven architectures.
Data engineering experience that will enable successful AI implementations.
Demonstrated expertise in architecting, building, maintaining, and scaling modern software on various platforms.
Experience designing APIs and writing API specifications.
Ability to clearly articulate technical requirements to other engineers.
A keen sense of security: you're able to think around corners and see potential risks.
A talent for communicating directly with clients, managing expectations, and explaining advanced technical concepts and their implications.
Excellent communication skills and a strong ability to present and defend technical and architectural choices persuasively. Advanced English proficiency.
Exceptional problem-solving skills.
Above-average discipline and personal organization skills.
A demonstrated hunger for personal and professional growth.
A self-evident love and care for the craft of software engineering.
Comfort with occasional travel to our HQ in MN.
Bonus points if you...
Have strong illustration chops as it relates to technical diagramming.
Speak, write, and/or educate publicly about technical topics.
Have publicly released your own personal, self-started products or apps.
Enjoy tinkering with languages and frameworks such as Tensorflow, SciKit Learn, or training machine learning models from scratch.
Have experience with advanced prompt engineering techniques.
Enjoy tinkering with emerging languages and platforms such as Go, Rust, Alexa, and/or Unity.
What to expect
When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc).
Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete.
Compensation is $130,000 - $175,000 per year
Additional information
We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.
Location: Munich
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As an early member of our Partner Team, you will work closely with our Partner and GTM teams to drive the adoption of our state-of-the-art enterprise AI platform and models.
WHAT YOU WILL DO
Your scope will be as follows:
Pre-Sale & Sales Activities:
• Execute on effective technical discovery with partners to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives
• Help onboard AI Platform and model updates to strategic partner platforms
• Drive enablement at scale across strategic partner technical and sales teams
• Create and update assets for partner enablement portal: technical decks and docs, enablement videos, reference architectures, etc.
• Support partners in identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer.
• Collaborate with the partner and Mistral sales teams to progress deals and penetrate accounts, providing technical expertise and insights where necessary.
• Create a strategic vision for the customer based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.
Product Implementation & Integration:
• Be the “user zero” to crash-test and experiment on newly-deployed models, features and tools in order to proactively document them, suggest fixes and improvements and escalate more in-depth feedback to the engineering teams.
• Help build relevant tooling for quality control of our model deployments on each ☁️ (SDK, availability, scalability)
• Guide and support partners and customers in deploying our text completion API into their infrastructure.
• Work closely with customers and partners to fine-tune models according to their specific requirements.
• Regularly liaise with the product and technical teams to relay feedback and suggest improvements.
Customer & Partner Success & Support:
• Collaborate with Account Executives to ensure that the customer is maximizing the product's potential.
• Provide post-deployment support, addressing any issues or challenges that arise promptly.
• Offer recommendations for product optimizations or new features based on customer feedback.
• Develop custom features for customers as needed.
WHAT WE'RE LOOKING FOR
• Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Implementation Consultant, Solutions Architect, Sales Engineer).
• Experience partnering with large technology cloud or platform providers, sales and technical teams driving technical account strategy, proof-of-concept scoping, and execution.
• Hands-on experience in deployment AI solutions and leveraging technical skills throughout implementations
• Ability to successfully drive complex interactions with tech teams and to connect with technical stakeholders
• Strong Python development skills with proven ability to integrate data from multiple sources. Working knowledge of cloud architecture and deployment patterns for AI/ML solutions
• Experience building enablement assets and driving enablement or evangelism at scale
• Track record of managing complex implementation projects from discovery to delivery
• Experience running solution design workshops and translating business requirements into technical specifications
• Strong stakeholder management skills, including experience working with C-level executives
• Outstanding presentation and communication skills, with ability to adapt messaging for technical and business audiences
• Bachelor's or Master's in computer science, engineering, mathematics, or related fields (or equivalent experience)
• Nice to have: track record in managing partnerships and customer-facing interactions, creating strong relationships that align with business objectives and bring customer satisfaction
• Nice to have: Familiarity with deal qualification using MEDDPICC and/or value-based sales methodologies like Command of the Message.
• Experience working in a constantly changing environment with multiple internal stakeholders
• Demonstrated ability to collaborate with cross-functional teams
• Strong written and verbal communication skills in English (fluent) and, ideally, other European languages
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Senior Software Engineer – Logging, Diagnostics & Post-Release Incident Analysis
Overview
The PlayStation Portal Platform team is seeking a Senior Software Engineer to lead the design, development, and operation of Logging and Diagnostics infrastructure that enables rapid detection, investigation, and resolution of Performance, Stability, and Platform Quality issues occurring after products are released to customers.
In this role, you will be responsible for building scalable Logging Architecture, Crash Diagnostics, and Incident Analysis Frameworks that empower engineering teams to perform efficient root cause analysis of field issues. You will collaborate closely with Engineering, Quality Engineering (QE), Customer Support, Security, and Product teams to reduce the time from issue detection to root cause identification and drive continuous improvements in product quality and reliability.
We are looking for engineers who are passionate about quality, thrive on solving complex system-level problems, and take strong ownership in delivering exceptional user experiences through continuous improvement.
Key Responsibilities
Logging Architecture
Define and drive the overall platform logging strategy.
Design and implement logging frameworks for AOSP-based systems.
Establish log collection, storage, retention, and archival strategies.
Define structured logging standards and best practices.
Design logging mechanisms optimized for field debugging and post-release analysis.
Improve platform observability and telemetry quality.
Diagnostics & Debuggability
Build infrastructure for Crash, ANR, Native Crash, and Kernel Panic analysis.
Define strategies for collecting and analyzing Tombstones, DropBox entries, Bugreports, and diagnostic artifacts.
Develop diagnostic frameworks for system failure analysis and troubleshooting.
Create tools that support issue reproduction and root cause analysis.
Drive initiatives that improve platform debuggability and diagnosability.
Partner with development teams to ensure diagnostic capabilities are built into the platform.
Post-Release Incident Analysis
Investigate and analyze production issues occurring in customer environments.
Identify, classify, and track recurring failure patterns.
Lead incident reviews, postmortems, and corrective action initiatives.
Drive improvements in Mean Time to Detect (MTTD) and Mean Time to Resolution (MTTR).
Provide actionable recommendations to engineering teams for quality improvements.
Monitoring & Alerting
Design and implement log-based monitoring systems.
Develop anomaly detection mechanisms for platform health and stability.
Build automated alerting and escalation frameworks.
Create dashboards and reporting tools for field quality monitoring.
Define and track reliability metrics and operational KPIs.
Security & Compliance
Design and implement secure logging and diagnostics infrastructure.
Ensure protection of PII and sensitive customer information.
Support security incident investigations and forensic analysis.
Define log retention policies and ensure compliance with company and regulatory requirements.
Collaborate with Security teams to implement secure-by-design principles.
Required Qualifications
A genuine passion for delivering high-quality software and exceptional user experiences, with a strong sense of ownership and accountability for product quality.
Experience working in Agile development environments and driving continuous quality improvements through iterative development, data-driven decision making, and customer feedback.
Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.
5+ years of experience in Android native development with strong expertise in Java/Kotlin and Android Studio.
Experience developing Android/AOSP system software.
Experience designing and implementing Logging, Diagnostics, or Observability systems.
Strong experience with crash analysis, production debugging, and root cause investigation.
Experience debugging Linux Kernel or low-level system software issues.
Strong programming skills in C/C++, Java, and/or Kotlin.
Experience analyzing large-scale production incidents and system failures.
Proven track record of conducting Root Cause Analysis (RCA) and driving corrective actions.
Strong understanding of software architecture, operating systems, and system software fundamentals.
Excellent analytical, problem-solving, communication, and collaboration skills.
Preferred Qualifications
Experience developing Android Framework components.
Experience with Kernel Logging, Tracing, and low-level diagnostics.
Hands-on experience with Perfetto, Systrace, ftrace, or similar profiling and tracing tools.
Experience building or operating Crash Analytics platforms.
Experience with Security Incident Response and forensic investigations.
Experience developing Consumer Electronics products.
Site Reliability Engineering (SRE) experience.
Experience with modern JavaScript frameworks such as React, React Native, Angular, or similar technologies for building responsive user interfaces and dynamic applications.
Experience designing telemetry, observability, monitoring, or analytics platforms.
Familiarity with cloud-native logging and analytics solutions.
Experience developing developer tools, debugging tools, or operational dashboards.
What We're Looking For
Passion for quality, reliability, and operational excellence.
Strong ownership and accountability for outcomes.
Customer-focused mindset with a commitment to exceptional user experiences.
Ability to investigate complex system-level issues and identify root causes.
Strong collaboration skills across cross-functional teams.
Continuous improvement mindset and commitment to engineering excellence.
Impact
Your work will directly influence the quality, reliability, and supportability of PlayStation Portal products used by millions of players worldwide.
By building world-class logging, diagnostics, monitoring, and incident analysis capabilities, you will enable engineering teams to detect issues faster, resolve them more efficiently, and continuously improve the customer experience.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$193,300
—
$289,900 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Riyadh, Saudi Arabia
The Senior Transportation Planning & Traffic Safety Engineer is responsible for leading transportation planning and traffic safety initiatives, ensuring compliance with international engineering standards and best practices. The role involves conducting technical reviews, supporting traffic engineering studies, and coordinating with internal stakeholders and government authorities to enhance road safety and traffic mobility.
Experience
The ideal candidate must have a minimum of
10 years of relevant experience
, primarily in:
Transportation Planning
Traffic Engineering
Traffic Safety Engineering
Key Responsibilities
The selected candidate will be responsible for, but not limited to, the following:
Liaise with company representatives and government authorities to support and implement traffic and transportation safety improvements.
Serve as the technical lead for traffic safety engineering assignments and provide technical guidance, supervision, and mentorship to junior engineering staff.
Review and develop scopes of work for transportation-related studies and projects, including:
Road Safety Audits (RSA)
Traffic Impact Studies (TIS)
Temporary Traffic Management (TTM) Plans
Other transportation engineering and traffic safety studies
Provide technical support and engineering recommendations to internal and external stakeholders to improve traffic operations, mobility, and road safety.
Review roadway designs, engineering specifications, and proposed infrastructure improvements within and surrounding company facilities, ensuring compliance with applicable industry standards and best practices.
Prepare technical reports, engineering studies, meeting minutes, correspondence, presentations, technical notes, and other project documentation.
Support the continuous development of the Traffic Safety Services Engineering team by establishing technical training programs, promoting knowledge sharing, and improving engineering processes and best practices.
Technical Requirements
The candidate must demonstrate strong technical expertise in:
Highway Design
Transportation Planning
Traffic Engineering
Traffic Safety Studies
Road Safety Audits
Traffic Impact Assessments
Temporary Traffic Management
Traffic Operations and Mobility Analysis
Required Skills
Thorough knowledge of international transportation engineering standards and guidelines, including:
AASHTO Green Book
Highway Capacity Manual (HCM)
Highway Safety Manual (HSM)
Manual on Uniform Traffic Control Devices (MUTCD)
Institute of Transportation Engineers (ITE) Guidelines
Federal Highway Administration (FHWA) Standards and Guidelines
Excellent analytical, problem-solving, and technical evaluation skills.
Strong written and verbal communication skills with the ability to prepare high-quality engineering reports, technical specifications, presentations, and professional correspondence.
Ability to effectively coordinate with multidisciplinary teams, government agencies, consultants, and contractors.
Education
Bachelor's degree in
Civil Engineering
or related with specialization in
Transportation Planning and Traffic Engineering
. A Master's degree in Transportation Engineering or a related discipline is preferred.
Professional Certifications (Mandatory)
The candidate must hold at least one of the following professional certifications or licenses:
Professional Engineer (PE)
Professional Traffic Operations Engineer (PTOE)
Professional Transportation Planner (PTP)
RoSPA Road Safety Certification
Road Safety Professional (RSP)
Equivalent internationally recognized professional certifications will also be considered.
Location: Los Angeles, USA
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from efficient business platforms to next-generation AI capabilities.
As a
Staff Data and AI Engineer
on the Enterprise Data & AI team, you will operate at the intersection of data engineering, data architecture, and AI solutions for Riot Enterprise. You will be instrumental in designing and building the enterprise data warehouse, developing scalable data integrations (connecting platforms like OneStream, Oracle, Workday, and Databricks), and delivering critical Enterprise agentic analytics and AI services.
The ideal candidate blends hands-on technical expertise with a strategic, platform-oriented mindset. You will be responsible for creating robust technical solutions, including scalable data pipelines, comprehensive data warehouse models, and AI enabled workflow and process automations. This work involves close collaboration with Enterprise leaders, architects, and system owners, and data specialists to translate corporate strategic and operations business requirements into secure, high-value, and maintainable solutions.
The role will report to the Senior Manager, Enterprise Data and AI.
Responsibilities:
Partner with stakeholders across Finance, HR, Legal, IT, and Operations to understand business workflows, clarify requirements, and translate them into technical designs, with an immediate focus on process automation, conversational agents, and data integrations for key corporate systems.
Design, build, and maintain the data and platform components of Riot’s Enterprise AI ecosystem, contributing to reference architectures for RAG/agents (indexing, vector stores, caching) and orchestration frameworks.
Contribute to conceptual and logical data models for enterprise domains and help connect those models to business capabilities, processes, and downstream applications.
Design, build, and maintain data pipelines, transformations, integrations, and warehouse-oriented data products across enterprise platforms and data systems.
Support reporting, analytics, and application capabilities by helping shape reliable data foundations and implementation patterns.
Required Qualifications:
Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, or related field (or equivalent experience delivering enterprise technology solutions).
8+ years of experience in enterprise applications, data engineering, or platform engineering spaces, including delivery of data and automation solutions at scale.
Experience delivering AI (traditional or generative) or advanced agentic automation solutions at scale.
Strong technical knowledge of orchestration platforms (Workato, n8n, Camunda) and AI platforms (e.g., Google Vertex/Agent Platform, Anthropic Claude Platform, OpenAI Platform) and their enterprise applications, including Retrieval-Augmented Generation (RAG), as well as knowledge management, data governance, quality, and architecture in enterprise contexts.
Hands-on experience building or supporting data pipelines and integrations across enterprise applications, APIs, middleware, and data platforms.
Required hands-on experience with Databricks for developing, transforming, and operationalizing data workflows or warehouse-oriented solutions.
Strong familiarity with data transformation and data warehousing methodologies, including dimensional modeling and medallion architecture patterns.
Strong technical knowledge of enterprise platforms (e.g., Workday, ServiceNow, Coupa, Concur, Oracle, IronClad) and respective integration options.
Desired Qualifications:
Experience supporting master data, reporting, analytics, or business intelligence use cases.
Strong hands-on experience with Workato, including implementing agentic workflows and AI-powered operational analytics and automations.
Familiarity with frameworks for agent development (e.g., LangChain, Pydantic AI) and orchestration platforms (e.g., LangGraph, CrewAI, Vertex AI Agent Builder, Microsoft AutoGen, or similar).
Experience building or integrating enterprise knowledge search platforms (e.g., federated search, vector DBs, retrieval-augmented generation) for enterprise use cases.
Experience with cloud data and application technologies such as AWS data services, dbt, or event-driven integration patterns.
Experience leading change in complex organizations and mentoring teammates or helping less technical partners adopt better data and systems practices.
For this role, you'll find success through craft expertise, a collaborative spirit, and choices that focus on your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Costa Mesa, United States
WHAT YOU’LL DO
Architect and implement UVM verification environments (drivers, monitors, predictors, scoreboards) for AMD (Xilinx) FPGA/SoC designs
Develop verification plans with traceability to system and hardware requirements
Author SystemVerilog Assertions (SVA) for protocol compliance and design intent checks
Build functional coverage models and drive code coverage analysis to closure
Develop constrained-random and transaction-level test sequences to maximize coverage and uncover corner-case bugs
Establish and maintain regression suites, tracking coverage metrics and verification progress
Debug failures using waveform tools and simulation logs at the HDL and system level
Collaborate with design engineers on RTL reviews, bug resolution, and micro-architecture refinement
Support hardware validation and board bring-up on target platforms
Ensure verification meets DO-254 and relevant safety standards
Author verification closure reports and coverage analysis summaries
REQUIRED QUALIFICATIONS
Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field
2+ years of experience in FPGA/ASIC verification
Proficient in SystemVerilog, UVM methodology and SVA, with experience contributing to and extending UVM testbenches
Object-oriented programming principles
Industry simulators (Questa, VCS, Xcelium, or Vivado)
Git-based collaborative workflows including code review
Linux development environments
Strong communication and teamwork skills
Eligible to obtain and hold a U.S. Secret security clearance
PREFERRED QUALIFICATIONS
5+ years of experience in FPGA/ASIC verification
Master’s degree in Electrical Engineering, Computer Engineering, or related field
DO-254, avionics verification standards for UAS, and safety-critical verification processes
SVUnit or equivalent unit-testing frameworks
Formal verification or CDC verification tools
Digital interfaces: Ethernet, PCIe, JESD204C, MIL-STD-1553, SPI
Verification automation scripting (Python, Tcl, Makefile)
SoC and ARM-based embedded platforms
Verification automation, CI/CD integration, and Nix-based build environments
Location: New York; San Francisco
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work.
We are looking for research scientists with a strong track record in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team.
WHAT YOU’LL WORK ON:
- Improve existing methods and develop new techniques for large-scale model training, optimization, and inference
- Extend models to long-context and long-horizon tasks
- Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments
YOU MAY BE A FIT IF:
- You have a PhD in computer science, machine learning, or a related field
- You have a demonstrated record of research accomplishments in reinforcement learning, machine learning, foundation models, or related fields
- You have experience with large-scale training and inference infrastructure, including distributed systems and multi-node GPU clusters
- You’ve developed, trained, optimized, or deployed state-of-the-art large-scale models
- You have first-author publications at leading venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, UAI, JMLR, or TMLR
- You have a mission-driven mindset and a strong desire to translate research advances into meaningful product impact
- You have a collaborative spirit and can work effectively across research and engineering teams
Candidates with a master’s degree and significant research or industry experience will also be considered.
Location: Paris
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About The Job:
Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.
You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.
As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.
What you will do
- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
About you
- You are fluent in English.
- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.
- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.
Ideally, you have:
- Contributed to open-source projects, particularly in the LLM or AI space.
- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
Mistral AI is seeking Applied Scientist Interns and Research Engineer Interns to drive innovative research and collaborate with clients on complex research projects.
You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle.
WHAT YOU WILL DO
- Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs.
- Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations.
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
- Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines.
- Manage research projects and communications with client research teams.
WHAT WE'RE LOOKING FOR
- Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences.
- Expert with PyTorch or JAX.
- Not afraid of contributing to a big codebase; finds their way around independently with little guidance.
- Writes clean, readable, high-performance, fault-tolerant Python code.
- Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence.
- Low-ego, collaborative and eager to learn.
- Track record of success through personal projects, professional projects or academia.
NICE TO HAVE
- Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome.
- Preferred duration: at least 6 months. Priority to candidates about to finalise their studies.
- Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis.
- Contributions to a large open-source or industry codebase.
- Publications in top academic journals or conferences.
- Enjoys improving existing code: typing, tests, CI pipelines.
Location & work authorization: This internship is available only in France or the UK. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ABOUT THE JOB
The Applied AI for Defense team is Mistral’s specialized unit dedicated to delivering high-impact, secure AI solutions for institutions and organizations operating in highly regulated and strategic environments. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence.
Our team combines deep technical expertise with a rigorous approach to compliance and risk management, ensuring that every solution is both cutting-edge and fully aligned with the unique constraints of our partners.
Mistral AI is seeking an Applied AI Engineer to join this team. You will be responsible for the technical design, implementation, and deployment of AI solutions tailored to the needs of critical infrastructure and sovereign institutions. Your work will directly contribute to projects with significant societal and operational impact.
WHAT YOU WILL DO
• Individually deploy AI solutions into production for use cases with significant operational and strategic impact.
• Develop state-of-the-art GenAI applications tailored to the specific needs of sovereign institutions and critical infrastructure, driving technological transformation in collaboration with our customers.
• Work closely with our researchers, AI engineers, and product teams on complex customer projects involving advanced fine-tuning, LLM applications, and contributions to our open-source codebases for inference and fine-tuning.
• Participate in pre-sales discussions to understand the needs, challenges, and aspirations of potential clients, providing technical guidance on Mistral’s products and technologies to diverse stakeholders.
• Collaborate with our product and science teams to continuously improve our offerings based on customer feedback, with a focus on security, compliance, and performance.
HOW WE WORK IN APPLIED AI
• We care about people and outputs.
• What matters is what you ship, not the time you spend on it
• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
• Always ask why. The best solutions come from deep understanding, not from copying what worked before
• We say what we mean. Feedback is direct, timely, and given because we care.
• No politics. Low ego, high standards.
• We embrace an unstructured environment and find joy in it.
ABOUT YOU
• Fluent in English.
• PhD or Master's in AI, Machine Learning, Computer Science, or related field.
• 2+ years of experience in AI/ML
• Proven track record of leading teams to deliver complex AI projects from prototyping to production.
• Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
• Proficient in Python, PyTorch, and modern AI frameworks (LangChain, HuggingFace). Cloud platforms (AWS, GCP, Azure) and MLOps tools a plus.
• Strong software engineering skills: API design, backend/full-stack development, system architecture.
• Excels in technical communication with technical and non-technical audiences, including executives.
• Thrives in fast-paced collaborative environments and is passionate about mentoring technical talent.
IT WOULD BE GREAT IF YOU
• Have experience with React or other frontend frameworks.
• Have experience with Deep Learning in PyTorch
• Contributed to open-source projects in the LLM or AI space.
• Have experience in customer-facing roles with a focus on enterprise AI adoption.
SECURITY & COMPLIANCE CRITERIA
• Eligibility: must hold citizenship in the target territory (France for now).
• Clearable: must meet all local requirements for high-level security clearance (e.g., no criminal record, fulfillment of national service obligations).
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
APAC
leadParis; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
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leadSeoul; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
San Francisco, CA
УдалённоRemote (USA); We encourage candidates from all backgrounds to apply and consider all qualified applicants
ОфисMunich; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
seniorUnited States, San Mateo, CA
seniorRiyadh, Saudi Arabia
Los Angeles, USA
New York; San Francisco
ОфисleadParis; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
СтажёрParis; London; Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome; Location & work authorization: This internship is available only in France or the UK; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks