Education Requirements:

• BS (or higher) in Computer Science, or a related field.

Experience Requirements:

• 5+ years of production level experience in one of: Python, Go, Rust or similar language.

Responsibilities:

• Build services, products and infrastructure at the intersection of machine learning and distributed systems.

• Lead/contribute to engineering efforts from design to implementation, solving complex technical challenges around scalability, reliability and resiliency.

• Design and build advanced CI/CD infrastructure and pipelines; help teams debug and build projects and workflows

• Mentor early career engineers; provide technical and cultural guidance

Education Requirements:

• BS or MS degree in Computer Science or a related field, or equivalent work experience.

Responsibilities:

• Maintain deployed AI/ML models, ensuring their reliability and performance over time.

• Design and develop AI/ML models and algorithms to drive innovative applications and products.

• Perform data mining, data cleaning, and data preprocessing.

• Conduct experiments and prototype new models to evaluate their performance and potential impact.

• Collaborate with cross-functional teams, including AI scientists, product managers, and software engineers, to understand business needs and develop scalable and efficient AI/ML solutions.

Experience Requirements:

• Senior

Responsibilities:

• developing and executing strategic plans

• managing client relationships

• driving business development efforts

• leading a dynamic team to ensure the successful deployment of AI solutions

• fostering a culture of innovation

Experience Requirements:

• 2 - 4 years

Experience Requirements:

• 2 to 4 years of market competitor focused secondary research experience

• Experience of working in the US, Europe, Middle East, LATAM and APAC markets will be highly preferred

• Experience of leveraging publicly available and 3rd party sources such as SEC filings, EDGAR, Crunchbase, Slintel, Factiva etc.

• Must have skills- MS Office (Word, PowerPoint, Excel)

• 1-4 years of experience in business research firms/corporate strategy or Market Intelligence function

Other Requirements:

• Primary research experience is not relevant

Responsibilities:

• Research: ◆ Prepare understanding of the client’s problem statement and device appropriate research approach ◆ Conduct desk and Contify platform driven research on a particular industry/segment/competitors/topic ◆ Structure and analyze intelligence gathered coherently and succinctly to develop actionable insights ◆ Prepare standard/custom reports around industry/ competitor/company/ topical analysis ◆ Work on various team-specific strategic initiatives

• Project Execution/Management: ◆ Engage with senior members of the client and project teams to identify and address project bottlenecks ◆ Conduct quality check of the work of team members ◆ Contribute actively to project and team discussions ◆ Bring continuous process improvement and solution-oriented approach toward work

• Client Communication: ◆ Conduct written (and verbal communication) with clients to update on project progress and resolve queries ◆ Conduct client walkthrough for reports/analysis prepared

• Other: ◆ Liaison with the Contify platform team to report issues/suggest enhancement measures ◆ Contribute towards organization in the form of internal initiatives

Responsibilities:

• Design and implement real-time applications on ARM processors interfacing with multiple sensors in C++

• Participate in the team's software processes, including: requirements and design documentation, test-plan generation and execution, peer design and code reviews, process feedback and improvements

• Debug complicated issues as they arise during product development

Responsibilities:

• Perform process set-up and optimization, data analysis and interpretation to identify trends, patterns, and potential issues. Perform DFM analysis. Implement improvement in the manufacturing process for yield and product quality.

• Collaborate with hardware engineer and CM to install machine, perform machine/process validation, establish work procedures, and machine calibration and maintenance.

• Collaborate with cross-functional teams, photonic test engineer, manufacturing, IT, and quality assurance, to troubleshoot issues and improve product performance.

• Collaborate with manufacturing to ensure product delivery on time.

• Collaborate with Aeva engineering team and CM to maintain manufacturing execution system (MES) software interfaces to streamline the testing and data collection process.

Education Requirements:

• Completed a Master's degree in Computer Science, Mathematics, or a related field, with a published paper in a respectable journal or conference.

Experience Requirements:

• at least 3 years of experience working with computer vision models.

Responsibilities:

• Develop your SOTA: Our team is a pioneer in adversarial AI research with numerous studies under our belt. We will guide your research, development, and implementation of state-of-the-art (SOTA) models and techniques.

• Research and Development: Conduct research on adversarial attack and defense techniques for computer vision models. Explore state-of-the-art methods and propose innovative solutions.

• Collaboration: Work closely with team members, participate in brainstorming sessions, and contribute to the team's success.

• Generative Vision: You will help with the research and development of new generative vision pipelines, tackling various modalities and challenges.

Experience Requirements:

• 3+ years of hands-on experience in Computer Vision and deep learning, particularly in object detection and image classification.

Responsibilities:

• Lead Computer Vision Initiatives: Develop and deploy advanced computer vision models for tasks such as object detection, image classification, data extraction, and image quality assessment.

• Drive Innovation in Core-ML Projects: Work on critical machine learning projects, including Credit Risk Modeling and Scorecard Development, ensuring robust and scalable solutions.

• Data Exploration and Analysis: Explore and analyse unstructured data, particularly images, using advanced image processing techniques.

• Model Research and Development: Collaborate with the data science team to research, develop, evaluate, and optimise deep learning models tailored to solve specific business problems.

Benefits:

• Full insurance benefits including medical, dental, vision, and life insurance for you and your dependants

• 401k plan with employer matching

• Flexible PTO and employees are encouraged to take time off to recharge

• Flexible working hours

• Parental leave

Education Requirements:

• PhD or equivalent research experience

Other Requirements:

• Strong background in CV, ML, AI, computer science, engineering or related fields

• Track record of applied research in computer vision

Responsibilities:

• Research and develop algorithms for computer vision-based problems including scene understanding and anomaly detection

• Develop performance and quality metrics for ML models and systems

• Collaborate with software engineers and product owners on system architecture, design and production code, especially where ML models are used

• Keep up to date with state of the art in ML and CV

• Mentor younger scientists

Benefits:

• Full insurance benefits including medical, dental, vision, and life insurance for you and your dependants

• 401k plan with employer matching

• Flexible PTO and employees are encouraged to take time off to recharge

• Flexible working hours

• Parental leave

Experience Requirements:

• 5+ years of production/cloud software engineering experience

Other Requirements:

• Proven experience in collaborating with cross-functional teams, including ML scientists and engineers, to develop scalable ML models in production environments.

• Experience with cloud-based ML services (AWS, GCP, etc.), edge computing, and GPU farm management.

• Solid understanding of data science pipelines, model training, and real-time inference systems.

• Passion for working in a fast-paced, collaborative environment with the latest advancements in AI technology.

Responsibilities:

• Design, develop, optimize, and maintain machine learning models for various systems, including front-end integration, back-end services, edge devices, and cloud-based inference and training systems.

• Collaborate closely with our ML scientists and product owners to translate functional requirements into detailed ML engineering plans and implement them in production systems.

• Develop analytics, monitoring tools, and pipelines for data preprocessing, feature engineering, model training, and deployment.

• Participate in on-call rotation to maintain production ML systems, troubleshoot models, and resolve customer issues related to AI performance.

• Stay at the cutting edge of AI technology, experimenting and pushing the boundaries of what's possible with the latest ML frameworks and tools.

Benefits:

• Full insurance benefits including medical, dental, vision, and life insurance for you and your dependants

• 401k plan with employer matching

• Flexible PTO and employees are encouraged to take time off to recharge

• Flexible working hours

• Parental leave

Other Requirements:

• Open-minded and excited to talk shop with people building all kinds of applications.

• Having fun pushing the boundaries of what is possible with machine learning and computer vision.

Responsibilities:

• Building and fostering community around our API and SDK in a scalable way that aligns with our business goals.

• Creating and delivering clear and accessible technical content, documentation, and demos that showcase our capabilities.

• Creating and managing scalable programs to engage and support developers, including hackathons and workshops.

• Closing the loop on feedback between external developers and our product team.

• Collaborating with our marketing team to create content that resonates with developers.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• Experience doing quantitative analysis, within a digital product environment and a marketing function

Responsibilities:

• Establish metrics for organic and owned marketing channels, track performance, and uncover actionable insights to guide marketing strategy.

• Conduct deep-dive analysis across channels to uncover opportunities for optimisation. Translating insights into actionable recommendations that drive organic growth.

• Support with the design, execution and analysis of experiments across different organic platforms.

• Partner with the Growth Lead, channel managers, and Brand team to launch and scale campaigns.

• As we invest in brand marketing support data-driven decision-making by measuring campaign impact, tracking media coverage, and providing actionable insights to optimise future brand initiatives.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• 4+ years experience doing quantitative analysis in a digital product environment

Responsibilities:

• Conduct deep-dive analysis of the product ecosystem to understand user behaviour and to identify the highest impact areas for growth

• Collaborate in a cross-functional squad to experiment with pricing tiers and feature bundles, optimising the mix to drive profitability and deliver value to Cleo's users

• Build frameworks for analysing LTV / unit economics, and the commercial viability of new product bets

• Project business KPIs and company profitability to measurable levels of accuracy

• Define how we quantitatively evaluate product success, setting KPIs, designing tracking to measure what really matters

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• 7+ years experience in a data/analytics field.

Responsibilities:

• Work with Chat pillar leadership to build a discovery roadmap and ensure we make data-driven decisions to improve the quality of chat interactions, understand our users’ current financial reality, and leverage chat to coach users towards meeting their goals.

• Set best practices and support the team in OKR planning, linking Chat improvements to increased user engagement and retention and setting a standard for how to prioritise initiatives on the product roadmap.

• People-manage those in the team, promoting their performance and development.

• Oversee the workload and strategy of the analysts in your area, ensuring your team is motivated, fulfilled, and driving impact.

• Proactively deliver high-impact analysis that directs pillar-wide product roadmapping.

Experience Requirements:

• 5-10 years of experience

Experience Requirements:

• 6-9 years experience in Proficiency in Appian BPM, including SAIL forms, dashboards, and reports.

Benefits:

• Flexible Work – Hybrid or fully remote options based on your location

• Team Gatherings – Annual company events and team activities

• Career Growth – Training bonuses for AWS certifications and other learning opportunities

• Performance Bonuses – Company-wide annual bonus program

• Referral Rewards – Earn up to €1,000 for referring new hires

Education Requirements:

• BS+ in Mathematics, Economics, Computer Science, Information Management or Statistics

Experience Requirements:

• 3+ years of experience with SQL

• 2+ years of experience with Python (Pandas)

• 3+ years working as a Data Analyst, handling large-scale data and defining KPIs

• Experience in automating analytics processes for large datasets

• Hands-on experience with data visualization tools for dashboard creation

Other Requirements:

• Strong statistical analysis skills for meaningful insights and presentations

• Ability to analyze and troubleshoot system issues

• Good knowledge of MS Office (Excel, PowerPoint)

• Fluent English (spoken and written) for collaboration in an international team

• Knowledge of networking technologies

• Experience with Wireshark for network data analysis

• Familiarity with cloud environments (AWS – Athena, S3)

• Experience with Git, Docker, and software development infrastructure

• Interest in new technology and inventions

Responsibilities:

• Analyze system performance and generate actionable insights for internal teams and customers

• Investigate error scenarios to identify trends and potential system improvements

• Take ownership of data quality by working closely with development, data engineering, and research teams

• Optimize performance, improve tools, and refine AI algorithms through data labeling and trend analysis

• Develop dashboards and automated analytics to visualize key metrics and track performance.

Benefits:

• Flexible Work – Hybrid or fully remote options based on your location

• Team Gatherings – Annual company events and team activities

• Career Growth – Training bonuses for AWS certifications and other learning opportunities

• Performance Bonuses – Company-wide annual bonus program

• Referral Rewards – Earn up to €1,000 for referring new hires

Education Requirements:

• BS+ in Mathematics, Economics, Computer Science, Information Management or Statistics

Experience Requirements:

• 3+ years of experience with SQL

• 2+ years of experience with Python (Pandas)

• 3+ years working as a Data Analyst, handling large-scale data and defining KPIs

• Experience in automating analytics processes for large datasets

• Hands-on experience with data visualization tools for dashboard creation

Other Requirements:

• Strong statistical analysis skills for meaningful insights and presentations

• Ability to analyze and troubleshoot system issues

• Good knowledge of MS Office (Excel, PowerPoint)

• Fluent English (spoken and written) for collaboration in an international team

• Knowledge of networking technologies (IP networking, OSI layers)

• Experience with Wireshark for network data analysis

• Familiarity with cloud environments (AWS – Athena, S3)

• Experience with Git, Docker, and software development infrastructure

• Interest in new technology and inventions

Responsibilities:

• Analyze system performance and generate actionable insights for internal teams and customers.

• Investigate error scenarios to identify trends and potential system improvements.

• Take ownership of data quality by working closely with development, data engineering, and research teams.

• Optimize performance, improve tools, and refine AI algorithms through data labeling and trend analysis.

• Develop dashboards and automated analytics to visualize key metrics and track performance.

Benefits:

• Flexible Work – Hybrid or fully remote options based on your location

• Team Gatherings – Annual company events and team activities

• Career Growth – Training bonuses for AWS certifications and other learning opportunities

• Performance Bonuses – Company-wide annual bonus program

• Referral Rewards – Earn up to €1,000 for referring new hires

Experience Requirements:

• 5+ years of iOS development experience

• Strong skills in Swift and Objective-C

• Experience with RESTful APIs and networking technologies (especially VPNs)

• Knowledge of Agile development (Scrum)

• Experience with CI/CD, test automation, and TDD

Other Requirements:

• Familiarity with the AWS stack

• Strong technical design and solution architecture skills

• Fluent English (spoken and written) for collaboration in an international team

• Experience building libraries and SDKs for third-party use

• Knowledge of core OS functionalities and networking APIs

Responsibilities:

• Develop a new iOS product that secures internet traffic using advanced VPN technologies

• Improve and maintain an existing product that integrates third-party libraries

• Build automated testing systems to ensure reliability and performance

• Work on CI/CD pipelines to streamline deployment and delivery