Education Requirements:

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

• Certifications like AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or Certified Information Systems Security Professional (CISSP) are a plus

Experience Requirements:

• Minimum 5 years of experience in DevOps, SRE, or infrastructure engineering

• Proven experience with on-premise infrastructure management as well as public cloud platforms (AWS, GCP, Azure)

• Proficient in scripting languages like Bash, Python, or Go

• Hands-on experience with CI/CD tools like Jenkins, GitLab CI/CD, ArgoCD, or CircleCI

• Solid understanding of networking, firewalls, VPNs, and load balancing in both cloud and on-prem contexts

Other Requirements:

• Experience with hybrid workload orchestrators (e.g., Anthos, Azure Arc)

• Knowledge of observability best practices and tools like Open Telemetry

• Familiarity with policy-as-code tools like OPA/Gatekeeper or HashiCorp Sentinel

Responsibilities:

• Design, build, and maintain scalable and resilient CI/CD pipelines for on-prem, cloud (AWS/Azure/GCP), and hybrid environments

• Implement and manage infrastructure-as-code (IaC) using tools such as Terraform, Ansible, or Pulumi

• Oversee container orchestration and deployment using Docker, Kubernetes, and other relevant platforms

• Lead configuration and monitoring of infrastructure with Prometheus, Grafana, ELK Stack, or similar tools

• Implement security best practices in infrastructure and deployment pipelines (DevSecOps)

Experience Requirements:

• Proven track record of managing engineering teams.

• Solid understanding of machine learning fundamentals.

• Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables.

• Track record of promoting software engineering best practices and excellence within the team.

• Demonstrated ability to manage software engineers and grow their careers.

Responsibilities:

• Help define and drive scenario generation technology roadmap to deliver on company goals and priorities

• Lead technical discussions and guide technical direction where needed

• Set effective KPIs and metrics

• Build resilient and reliable systems, and teams, anticipate the needs of the business 18 months out, identify areas where additional resources are needed and grow team as hiring manager

• Prioritise effectively, implement and maintain lean and effective team processes

Benefits:

• onsite chef

• workplace nursery scheme

• private health insurance

• cycle scheme

• therapy

Education Requirements:

• BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

Experience Requirements:

• 7+ years of software and machine learning engineering experience in an industrial or applied research environment

• Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models

• Comfortable working with large quantities of image and video data

Other Requirements:

• Passion to work in a team on research ideas that have real product impact

• A good grasp of machine learning literature, ideally published

Responsibilities:

• Technical leadership of at least one company wide program

• Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.

• Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications.

• Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers.

• Allocating personal bandwidth and technical resources effectively to meet both project requirements and personal professional development needs.

Benefits:

• onsite chef

• workplace nursery scheme

• private health insurance

• cycle scheme

• therapy

Education Requirements:

• BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

Experience Requirements:

• 7+ years of software and machine learning engineering experience in an industrial or applied research environment

• Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models

• Comfortable working with large quantities of image and video data

Other Requirements:

• Passion to work in a team on research ideas that have real product impact

• A good grasp of machine learning literature, ideally published

Responsibilities:

• Technical leadership of at least one company wide program

• Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.

• Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications.

• Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers.

• Allocating personal bandwidth and technical resources effectively to meet both project requirements and personal professional development needs.

Benefits:

• Fully employer-covered medical, dental and vision insurance

• catered lunch

• yummy snacks

• variety of drinks

• life insurance

Education Requirements:

• M.S. or Ph.D. in Computer Science, Machine Learning, or related fields

Experience Requirements:

• 10+ years of industry experience.

• Proven experience in building, deploying, and scaling production-level ML solutions.

• Deep understanding of ML fundamentals with expertise in one or more areas: Deep Learning, Computer Vision, Traditional ML, or Large Language Models.

• Proficiency in Python, with a strong focus on clean, well-structured, and testable code.

• Experience leading and executing large-scale, cross-functional projects.

Responsibilities:

• Lead the development of robust ML models and augmentation techniques that power our scenario generation and validation systems.

• Architect scalable systems for mining, curating, and synthesizing data to fuel scenario databases, using both real-world and synthetic data.

• Collaborate with cross-functional teams, including Simulation and Science, to integrate state-of-the-art technologies into our scenario pipelines.

• Drive innovation in scenario coverage, focusing on both closed-loop and open-loop evaluations.

• Own end-to-end technical solutions: from translating product requirements into engineering tasks to delivering high-impact ML models and infrastructure improvements.

Experience Requirements:

• Experience with workflow orchestration systems (e.g. Airflow, Dagster, Flyte, etc.) and/or developing data intensive applications

• Excellent development skills in Python

• Deep knowledge of Kubernetes at the user level

• Good sense of systems and data oriented software engineering design - what makes code reusable and extensible

• Understanding of common software performance issues and design tradeoffs

Other Requirements:

• Excellent communication and people engagement skills

Responsibilities:

• Own key performance indicators (KPIs) for simulator cost, SLOs, throughput, latency, etc.

• Work cross-company on aligning technical dependencies for simulator implementation

• Lead technical discussions and guide technical direction

• Effectively integrate the components of the simulated robot into the simulation platform

• Effectively integrate machine-learned graphics subsystems into the simulation platform

Experience Requirements:

• Technical leadership in relevant domain (multi-modal calibration, SLAM, computer vision, estimation).

• Team growth and leadership. Proven ability to mentor and grow a high-performing engineering team, fostering a culture of engineering excellence, collaboration, and continuous improvement.

• Interface with product & programmes. Track record of working with product and programme functions to plan and prioritise, and handle change of direction and priorities.

• Strategic prioritisation and decision making. Expertise in navigating shifting priorities, balancing long-term architecture with urgent support requests, and making data-driven trade-offs between impact, feasibility, and resources.

Responsibilities:

• Managing delivery of the technical roadmap – forecasting dependencies and helping to unblock the team.

• Understanding the long-term production strategy for calibration, and building and aligning the calibration technical roadmap towards it

• Helping the team to balance urgent operational day-to-day requirements with delivery of the long-term roadmap

• Aligning with technical stakeholders to define SLAs for calibration

• Help the team handle fleet scaling and create more time for roadmap delivery by increasing automation, monitoring and observability of the pipeline

Experience Requirements:

• 10+ years of hands-on leadership in business intelligence, advanced analytics, or data science

Other Requirements:

• Expert-level proficiency in Databricks or Snowflake, Microsoft Power BI, and Tableau

• Advanced SQL skills with substantial experience in modern data warehousing architectures

• Strong Python capabilities for sophisticated data manipulation and transformation in AI/ML environments

• Proven track record of creating intuitive, AI-enhanced dashboards that effectively communicate complex insights

• Extensive experience conducting business process analysis and generating actionable intelligence for automation and optimization

• Exceptional autonomy with the ability to drive projects independently while collaborating seamlessly across functions

• Strategic analytical mindset focused on converting data into measurable business impact through both descriptive (what happened) and prescriptive (what should happen) approaches

• Outstanding communication skills with the ability to translate complex AI-powered data narratives into compelling, strategic recommendations

• Bonus experience in process mining, AI-driven analytics, value engineering, or automation intelligence

Responsibilities:

• Lead the analytics revolution by designing and implementing both descriptive analytics that illuminate what's happening and prescriptive analytics that guide what should happen next

• Architect and deliver sophisticated customer-facing dashboards that translate AI-powered process intelligence into clear automation opportunities and performance metrics

• Pioneer industry-specific analytics frameworks that showcase the transformative potential of AI in optimizing business processes

• Execute deep-dive analyses that uncover hidden patterns and trends, enhancing Skan's AI models and driving continuous product improvement

• Push the boundaries of data visualization to make complex insights immediately accessible and actionable

Experience Requirements:

• 6-10 years of business intelligence or data analytics experience – experience with Snowflake and Microsoft PowerBI preferred

• 3+ years’ experience working with BI tools or any data-specific role with a sound knowledge of database management, data modeling, business intelligence, SQL querying, data warehousing, and online analytical processing

Other Requirements:

• In-depth understanding and experience with Microsoft BI stacks such as Power Pivot, SSIS, SSRS, and SSAS

• Experience using Python to parse, structure, and transform data

• Affinity for numbers and metrics

• Ability to create user friendly and concise dashboards which enable the customer to understand their process better

• Clear and effective communication skills

• Team Player with willingness to learn

• Ability to coordinate with different teams across the organization

• Analyzing industries, overall economic and corporate trends

• Conduct and facilitate internal and external research and discovery around customer business processes

• Hands-on experience with PowerBI

• Previous industry experience in Banking, Finance or Healthcare

• Data Analytics certification

Responsibilities:

• Ability to interpret data and build/modify dashboards jointly with customers, and based on data, propose potential process improvement solutions with internal teams and customer stakeholders

• Work with data to arrive at key metrics and KPI’s for our customers. E.g. NPS (Net Promoter Score), FPR (First Pass Rate) etc

• Create dashboards with a high level of creativity to bring out powerful business value through insights and stories and present to internal stakeholders

• Uncover trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions

• Analyze unique operational data to find new and deep insights that bring our customers' value

Education Requirements:

• Bachelor's/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field

Experience Requirements:

• Experience in training and deploying ML models in production

Other Requirements:

• Strong programming skills in Python

• Proficiency with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn)

• Knowledge of cloud computing (AWS, GCP, Azure) and MLOps tools

• Understanding of data structures, algorithms, and optimization techniques

• Experience with data engineering, feature extraction, and model evaluation

• Knowledge of deep learning techniques (CNNs, RNNs, Transformers, GANs, etc.)

• Experience with LLMs (GPT, BERT, LLaMA, T5) and fine-tuning models

• Knowledge of multi-modal AI (text, image)

• Knowledge of reinforcement learning, planning, and decision-making models

• Hands-on experience with big data processing and big data frameworks

• Familiarity with vector databases

• Experience in real-time AI applications for high-performance systems

Responsibilities:

• Design, develop and optimize ML/AI models for classification, regression, and recommendation systems.

• Implement machine learning pipelines (end-to-end), from data preprocessing to model deployment.

• Develop and fine-tune deep learning architectures using TensorFlow, PyTorch etc.

• Apply MLOps best practices for model versioning, monitoring, and retraining.

• Work with large-scale datasets, performing feature engineering and data augmentation.

Education Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience)

Experience Requirements:

• 5+ years of experience in a DevOps role with at least 2 years in a managerial position

• Proven experience with Kubernetes, Azure cloud services, PostgreSQL, and message queue technologies

Other Requirements:

• Strong expertise in Azure DevOps CI/CD pipelines

• Hands-on experience with Terraform and Ansible

• Deep understanding of infrastructure security best practices

• Proficiency in managing messaging services (RabbitMQ, Kafka, etc.) and data platforms

• Experience with Azure governance and policy management tools

• Proficiency in monitoring and observability tools like Prometheus, Grafana, and Azure Monitor

• Proficient in incident response, post-mortem analysis, and managing changes via ITIL practices or ServiceNow integration

• Microsoft Certified: Azure Solutions Architect / DevOps Engineer

• Certified Kubernetes Administrator (CKA)

• Terraform Associate

Responsibilities:

• Manage and mentor a team of DevOps engineers, fostering a collaborative and high-performance environment.

• Drive cloud initiatives using Microsoft Azure, including deployment, monitoring, and optimizing cloud services.

• Lead the adoption and enhancement of Infrastructure as Code (IaC) practices using Terraform for resource provisioning and Ansible for configuration management and automation.

• Ensure robust security practices across all infrastructure layers, including regular audits, compliance, and threat mitigation strategies.

• Design, implement, and manage Azure cloud infrastructure, optimizing for scalability, cost-efficiency, and security.

Benefits:

• Competitive base salary with performance-based bonuses

• Standard benefits package including health insurance, retirement/pension contributions, and paid time off

• Equity or stock option potential

• Fully remote work setup (work from home) with flexible hours

• Professional development budget (books, courses, conferences) and modern tools (MacBook, software subscriptions)

Experience Requirements:

• 5+ years of experience in full stack web development

• Expert-level proficiency in TypeScript

• Strong working knowledge of Python

• Experience with React and Next.js, including server-side rendering and static site generation

• Proficiency in Node.js, Python and microservices architecture

Other Requirements:

• Comfortable working in a collaborative, agile development environment

• Excellent communication skills and an ability to self-manage

• Familiarity with containerization (Docker), CI/CD pipelines, infrastructure-as-code tools (Terraform), and monitoring solutions

• Experience with automated testing frameworks (e.g., Jest, Playwright, Cypress)

• Hands-on experience with AWS and Google Cloud Platform

Responsibilities:

• Design, implement, and maintain scalable features and services across the frontend (React/Next.js) and backend (Node.js/Python)

• Deploy and maintain cloud-native applications in AWS and Google Cloud environments. Contribute to DevOps practices and CI/CD workflows

• Build and consume RESTful APIs to power real-time conversational AI experiences

• Ensure high performance, security, and scalability of the applications across different environments

• Work closely with the product, design, and AI teams to build and iterate on features that delight users and support the needs of our enterprise clients

Benefits:

• generous equity grants

• health insurance

• 401k matching

• provided meals

• team offsites

Experience Requirements:

• Experience building production application layer AI products

• Experience with any of GoLang, TypeScript, NextJS, Redis, RAG systems, and agent architectures is a plus

Other Requirements:

• Willingness to work in-person in San Francisco

• Ability to work in fast-paced and ambiguous environments

• Insatiably curious and learns quickly

• History of superlative achievement

Responsibilities:

• Build in a full stack capacity

• Talk to users, track metrics, and iterate quickly

• Scope out and implement core features

• Shape product vision and roadmap

Benefits:

• generous equity grants

• health insurance

• 401k matching

• provided meals

• team offsites

Experience Requirements:

• Experience building and designing magical user experiences

• Experience building production web apps at scale using TypeScript, NextJS , React, JavaScript, CSS, web animation/motion, and other web technologies

Other Requirements:

• Willingness to work in-person in San Francisco

• Obsessively product-minded

• Ability to work in fast-paced and ambiguous environments

• Insatiably curious and learns quickly

• History of superlative achievement

Responsibilities:

• Design performant, beautiful, and usable interfaces that users love

• Build in a full stack capacity with a focus on frontend

• Plan and deploy any necessary front end infrastructure

• Talk to users, track metrics, and iterate quickly

• Define the user experience for spreadsheet-based agents

Experience Requirements:

• 5+ years experience in React JS + React Hooks

• 5+ years experience in MySQL (or Postgres SQL)

• 4+ years experience in NodeJS

• Experience with Firebase/Firestore

• Experience in React-Query

Other Requirements:

• Great English with great communication skills

• Wants to be a part of a rapidly growing startup and become a core part of the team

• Loves to build fast and ship fast

Responsibilities:

• Developing the core product as well as new products, in short sprints

• Monitoring production and building an infrastructure to help track ongoing issues

• Willingness and availability for occasional on-call and production urgent issues, as well as communicating with users as needed

Benefits:

• very competitive salary package

• full benefits (medical, dental, vision & life insurance, etc)

Education Requirements:

• Degree in Computer Science or related discipline or equivalent practical experience

Experience Requirements:

• Ability to design software systems utilizing microservices architectures, container orchestration, data management, and cloud-computing

• Ability to apply engineering best practices to make architectural and design decisions that have been made in terms of functionalities, user-experience, performance, reliability, and scalability

• Demonstrated experience of production quality software development in Python, Java, and/or C or C++

• Demonstrated problem solving, interpersonal, and time management skills to handle complex situations effectively

• Strong communication skills, and the ability to work as a team lead with high EQ

Other Requirements:

• Self-motivated decision maker, frequently taking initiative to improve code the base and share best practices

Responsibilities:

• Serve as a liason between research and engineering teams and product managers

• Lead technical aspects of the project, mentor junior engineers for proffessional development

• Transform needs and requirements into technical specifications and solutions

• Design software architectures and lead development of solutions

• Keep track of new developments in research and engineering in ML/NLP and related fields

Benefits:

• Unlimited vacation

• Paid sick leaves + medical insurance

• Learning/training budget

• Corporate discounts for partners' products/services

• Supportive team and feedback culture

Experience Requirements:

• 3+ years of experience in software engineering, preferably with ML-related systems

• Strong Python skills (async, multithreading, multiprocessing)

• Familiarity with Docker, Kubernetes, and cloud platforms (GCP a plus)

• Solid understanding of ML model lifecycle in production (containerization, testing, deployment, monitoring)

• Experience with ML frameworks (PyTorch, TensorFlow) and a genuine interest in machine learning

Other Requirements:

• Strong communication skills and transparency

• Proactive and ownership-driven mindset

• Passion for learning, growing, and challenging the status quo

Responsibilities:

• Deliver and support ML models in production: containerization, deployment, optimization, and monitoring

• Develop cutting-edge internal tools and processes to reduce ML model time to production

• Collaborate closely with ML Research, Backend, QA, and Infrastructure teams

• Continuously improve the reliability, performance, and scalability of our ML serving infrastructure

• Proactively suggest ideas for improvements in the model lifecycle and processes

Benefits:

• Competitive Salary and Benefits

• Innovative and Inclusive Work Environment

• Opportunities for Advancement

• Dedication to Diversity

Education Requirements:

• A Master's or PhD in Computer Science, Engineering, or a related field

Experience Requirements:

• 1-3 years of experience in machine learning and computer vision

Other Requirements:

• Demonstrating practical application of generative models and a passion for product-centric innovation

• Proficiency in Python, with openness to other programming languages and tools as required by project demands

• Experience with deep learning frameworks such as PyTorch, and a capacity for quickly mastering new technologies

• A collaborative spirit with a proven track record in a team-based research or development setting

• A lifelong learner with outstanding problem-solving skills and the ability to communicate effectively in a diverse team environment

Responsibilities:

• Harness your knowledge of generative models, including GANs, Diffusion models, and other multi-modal models, to propel our video creation tools forward. Your role involves translating state-of-the-art research into innovative features that directly enhance our user experience and set our products apart

• Channel your research capabilities to develop scalable solutions that have a significant impact on our platform, making the video creation process more intuitive, powerful, and accessible to our users

• Engage with a diverse team where collaborative efforts lead to extraordinary outcomes

• Embrace an environment that promotes learning, mentorship, and teamwork, furthering both personal development and the advancement of our technology

Benefits:

• Competitive salary and benefits package

• Dynamic and inclusive work environment

• Opportunities for professional growth and advancement

• Collaborative culture that values innovation and creativity

• Access to the latest technologies and tools

Education Requirements:

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

Experience Requirements:

• 5+ years of experience

• Proven experience in managing infrastructure for large-scale AI or machine learning projects

Other Requirements:

• Excellent problem-solving skills and the ability to work independently or as part of a team

• Proficiency in Python and C++

• Experience with GPU computing and optimizing computational workflows

• Familiarity with AI and machine learning frameworks like TensorFlow or PyTorch

• Experience with CUDA

• Experience optimizing large deep learning model performance

• Experience building large scale batch inference system

• Prior experience in a startup or fast-paced tech environment

Responsibilities:

• Design, build, and maintain the AI infrastructure and systems needed to support our AI applications

• Collaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions

• Stay up-to-date with the latest industry trends in AI infrastructure technologies and advocate for best practices and continuous improvement

• Assist in budget planning and management of cloud resources and other infrastructure expenses

Benefits:

• 401k plan

• health benefits

• generous PTO

• parental leave program

• emotional health resources

Education Requirements:

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

Experience Requirements:

• 4+ years of experience in backend development

Other Requirements:

• Proficiency in python, golang, c++ or java

• Experience with relational and NoSQL databases, such as PostgreSQL, MySQL, MongoDB

• Familiarity with cloud platforms like AWS, Azure, or GCP

• Strong knowledge of API design and development

• Knowledge of best practices in security and data protection

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

• Experience with container orchestration tools like Kubernetes

• Experience with Graphics API like OpenGL, Vulkan, etc

• Experience with Streaming protocol like WebRTC

• Experience with Machine Learning Infrastructure especailly computer vision

• Familiarity with microservices architecture

• Prior experience in a startup or fast-paced tech environment

Responsibilities:

• System Development: Design, develop, and deploy scalable and efficient backend systems

• API Development: Create and maintain robust and secure RESTful APIs to serve front-end applications and third-party integrations

• Database Management: Design and manage database schemas, ensure efficient data storage, and optimize queries for maximum performance

• Collaboration: Work closely with frontend developers, product managers, and designers to deliver feature-rich products

• Performance Monitoring: Monitor backend systems for performance, errors, and anomalies. Implement fixes and improvements as needed