Experience Requirements:

• 5+ years of professional software development experience; experience with typed languages (TypeScript, Python + Pydantic, Java, etc.) preferred.

• Proven track record of designing and developing full-stack web solutions for complex problems.

• Strong hands-on experience and understanding of data structures, algorithms, profiling/optimization, DRY code, and Object-Oriented and Functional Programming.

• Demonstrated end-to-end ownership of projects.

• Excellent verbal and written communication skills in English. Demonstrated interest in Generative AI technology (e.g., you know what a RAG is and how to build a simple one).

Responsibilities:

• Design and implement robust software engineering solutions and frameworks to solve our customers’ needs.

• Implement and enhance engineering best practices company-wide.

• Work with data scientists to research and implement the latest approaches to efficiently leverage the latest AI models and techniques.

• Lead cross-team technical design discussions on application architecture, UI components, UX, back-end and third-party integration, and testing.

• Manage individual project deliverables and mentor junior team members on industry coding standards and design techniques. Interface and communicate with customers. Help grow the team.

Experience Requirements:

• Passion for Marketing and Communications

• Proactive and Ambitious

• Creative and Strategic

• Strong Communication Skills

• Team Player

Responsibilities:

• Develop and execute the marketing and communications strategy

• Content Creation and Management

• Public Relations

• Social Media Management

• Growth Marketing

Experience Requirements:

• 3+ years of experience in sales, preferably in enterprise or consultative selling, with a focus on complex, technical SaaS products.

• Strong academic background with a Bachelor’s or Master’s degree in Business, Computer Science, or a related field.

• Solid technical skills to keep up with rapidly evolving products and effectively engage in technical discussions.

• Fluency in both English and French; proficiency in additional languages is a plus.

• Exceptional negotiation and communication abilities

Responsibilities:

• Lead Generation Outbound Outreach

• Trial Conversion

• Deal closing

• Alliance Partner Ecosystem Development

• Executive Engagement & Relationship Building

Experience Requirements:

• 3+ years of professional full-stack software development experience

• Proven track record of designing and developing full-stack web solutions for complex problems.

• Strong hands-on experience with a common front-end framework; experience with Svelte preferred.

• A can-do attitude and demonstrated end-to-end ownership of projects.

• Excellent verbal and written communication skills in English; you’ll need to communicate your ideas to customers and product managers

Responsibilities:

• Design and develop user-facing applications to interact with our AI, teach it new tricks, or configure it.

• Develop integrations with 3rd party tools (e.g., CMS, CRM, etc.)

• Contribute to cross-team technical design discussions on application architecture, UI components, UX, back-end and third-party integration, and testing.

• Interface and communicate with customers to communicate Autodm AI’s value proposition through content and demos, or provide hands-on assistance.

• Help grow a diverse and stellar team

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• Bachelor's degree in Computer Science or related field

Experience Requirements:

• 3+ years of experience with deep learning models in production

• 2+ years of experience in a customer-facing role

Other Requirements:

• Designed novel and innovative solutions for technical platforms in a developing business area

• Strong technical aptitude to partner with engineers and proficiency in software engineering

• Ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders

Responsibilities:

• Act as the primary technical advisor for prospective customers evaluating LLM and finetuning projects on Lamini platform

• Partner closely with account executives to understand customer requirements

• Drive technical decision making by advising on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure

• Support customer onboarding by working cross-functionally to ensure successful ramp and adoption

• Travel occasionally to customer sites for workshops, implementation support, and building relationships

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• Bachelor’s degree in Computer Science, IT, Electrical Engineering, or a related field, or equivalent hands-on experience

Experience Requirements:

• 2+ years of experience in a data center environment

Responsibilities:

• Oversee day-to-day operations of our GPU cluster

• Assist with the deployment, configuration, and calibration of GPU servers

• Implement and support hardware upgrades

• Continuously monitor system performance

• Quickly diagnose and resolve hardware and network issues, coordinating with team members to minimize disruptions

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• Bachelor’s degree in Computer Science, or a related field

Responsibilities:

• Design and implement robust software deployment processes for delivering high-quality platforms to enterprise customers

• Maintain and enhance internal ML infrastructure

• Diagnose and resolve issues related to deploying Lamini Platform in customer on-prem environments

• Collaborate with data center vendors to manage GPU servers

• Partner with cross-functional teams to ensure reliability and scalability are embedded in the design of new features and services

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• Bachelor’s degree in Computer Science or comparable fields

Experience Requirements:

• 4+ years of professional software engineering experience

Responsibilities:

• Design and implement core LLMs tuning and inference on Kubernetes

• Deep understanding of complex distributed systems

• Build complex system features to solve customer problems

• Collaborate with ML & app engineers and product managers on platform features

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• BSc in Computer Science, Mathematics or similar field; Master’s or Ph.D. degree is a plus

Experience Requirements:

• 5+ years of professional experience designing, training, and deploying machine learning models

Responsibilities:

• Design and train new production-ready machine learning models

• Collect, process and analyze data

• Analyze and improve existing models

Education Requirements:

• Bachelor's degree or higher

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Understanding of autonomous driving systems (perception, control, etc.), ADAS (ACC, AEB, etc.), and similar systems (e.g., robots)

• Understanding and experience with vehicle sensors (Camera, Radar, GPS, etc.)

• Understanding and experience with vehicle testing

• Understanding and experience with vehicle testing equipment (RT, Vector equipment, etc.)

Responsibilities:

• Development milestone-based evaluation strategy and planning

• On-road test scenario development

• Conducting on-road tests based on scenarios and specifications

• Vehicle-level performance development and performance indicator management

• Building and upgrading on-road test environments

Education Requirements:

• Master's or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field relevant to machine learning, or equivalent experience

Experience Requirements:

• Minimum of 5 years of relevant experience

Other Requirements:

• Strong background in Linear Algebra, Probability, Signal Processing, and machine learning concepts

• Proficient programming skills in languages such as C/C++, Python, and others

Responsibilities:

• Develop algorithms and automated systems for automatically generating labels using various sensor and video data collected during autonomous driving.

• Dataset and evaluation: Curate high-quality datasets tailored to autonomous driving scenarios and design robust evaluation metrics to accurately assess algorithm performance.

• Active learning: Research techniques for efficiently selecting and labeling high-value data points to improve model performance while minimizing labeling efforts.

• Network architecture search: Explore methods for automatically discovering optimal neural network architectures for generating labels from sensor and video data.

• Transfer/low-shot/long-tail learning: Develop strategies to leverage knowledge from related tasks or domains to address challenges with limited labeled data or class distribution imbalances.

Benefits:

• Equity

Education Requirements:

• Bachelor's degree from a leading academic institution

Experience Requirements:

• 3+ years of experience in building scalable ML infrastructure from the ground up

Other Requirements:

• Familiar with Kubernetes and Python

• Familiar with Apache Kafka and Spark

Responsibilities:

• Building scalable ML infrastructure

• Managing and growing engineering team

Benefits:

• Equity

Education Requirements:

• Bachelor's degree

Experience Requirements:

• Experienced in flutter

• Adheres strictly to test-driven-development principles

Other Requirements:

• Familiar with Flutter and Python

Responsibilities:

• Implementing CHAI Web App

• Developing features for retention and monetization

Benefits:

• Equity

Education Requirements:

• Bachelor's degree from a leading academic institution

Experience Requirements:

• 6+ years of experience in backend engineering

Other Requirements:

• Familiar with Kubernetes and Python

Responsibilities:

• Building scalable infrastructure

• Managing and growing engineering team

Benefits:

• Equity

Experience Requirements:

• Track record of making money

Other Requirements:

• Goal-oriented

• Comfortable learning on the job

Responsibilities:

• Running, optimizing, and improving revenue generation strategy

Benefits:

• Equity

Experience Requirements:

• Established track-record of delivering results

• Deep understanding of the ML development cycle

Other Requirements:

• Proficient in Python, Tensorflow or PyTorch

• Goal-oriented

Responsibilities:

• Running, optimizing, and improving AI platform

• Improving platform-wide retention

Benefits:

• Equity

Experience Requirements:

• Experienced in scaling small teams

Other Requirements:

• Highly goal-oriented

• Comfortable working in a fast-paced environment

• Self-reflective

Responsibilities:

• Reporting to CEO

• Solving operational problems

• Running hiring processes

Benefits:

• Equity

Experience Requirements:

• Experienced in hiring great engineers

Other Requirements:

• Highly goal-oriented

• Comfortable working in a fast-paced environment

• Self-reflective

Responsibilities:

• Sourcing candidates

• Running hiring processes

Benefits:

• Equity

• Comprehensive health insurance

• Meal vouchers

• Sport subscription

• Unlimited access to books and online courses

Education Requirements:

• Bac +5 / Master

Experience Requirements:

• > 3 years

Responsibilities:

• Core Backend Development

• Infrastructure and Orchestration

• Event-Driven Architecture

• Cloud Operations

• Monitoring and Observability

Benefits:

• Plan d’actionnariat salarié

• Tickets restaurant

• Budget sport

• Mutuelle santé prise en charge à 100%

• Séminaires & formations professionnelles

Experience Requirements:

• > 3 years

Responsibilities:

• Core Backend Development

• Infrastructure and Orchestration

• Event-Driven Architecture

• Cloud Operations

• Monitoring and Observability