AI Jobs

Education Requirements:

• Bachelor’s degree in any related field

Experience Requirements:

• Overall experience: 5-8 years

Other Requirements:

• Excellent written and spoken communication skills

• Strong analytical and problem-solving skills

• Proficiency in Excel, Google Sheets, and data visualization tools (Tableau, Power BI)

• Experience in quality control or operations in international BPOs preferred

• Comfortable handling highly confidential information

Responsibilities:

• Own overall quality metrics and efficiency of the monitoring process

• Conduct deep dives into monitoring data to identify trends and anomalies

• Collaborate with the SOC team to drive changes in operational procedures

• Support operational decision-making through data-driven insights

• Conduct quarterly training sessions for operators to improve performance

Education Requirements:

• Master’s degree in Electrical and Computer Engineering, Computer Science, or related field.

Experience Requirements:

• Develop deep learning-based perception algorithms, including object detection, lane detection, semantic segmentation, depth estimation, curb detection, etc.

• Design and evaluate cutting-edge network structures and data training methods for vision tasks.

• Implement network compression and quantization-aware data training to optimize models for ASIC hardware deployment.

Other Requirements:

• Conduct prototype development, regression testing, benchmark testing, and performance evaluation.

• Prepare demos to showcase model performance and deploy solutions on embedded platforms.

• Conduct R&D, stay updated with the latest research, and propose innovative ideas.

• Contribute to patent applications and publish research papers.

Responsibilities:

• Develop deep learning-based perception algorithms, including object detection, lane detection, semantic segmentation, depth estimation, curb detection, etc.

• Design and evaluate cutting-edge network structures and data training methods for vision tasks.

• Implement network compression and quantization-aware data training to optimize models for ASIC hardware deployment.

• Conduct prototype development, regression testing, benchmark testing, and performance evaluation.

• Prepare demos to showcase model performance and deploy solutions on embedded platforms.

Education Requirements:

• Graduate with a MS, or Ph.D. degree in Computer Science, Computer Engineering, Applied Math, or related field.

Experience Requirements:

• Strong Python or C++/C programming and software design skills, including debugging, performance analysis, and test design.

• Experience with Deep Learning Frameworks such as PyTorch, TensorFlow, and MXNet

• Experience with model acceleration techniques such as deep learning quantization, model pruning, and model distillation.

Other Requirements:

• Experience with numerical methods

• Knowledge of computer architecture

• Experience with AI compilers

• Experience in model deployment within the autonomous driving industry

• Experience deploying LLMs on edge devices

Responsibilities:

• Contribute to deep learning infrastructure, data pipelines, tools and workflows that lay the foundation for building AI at scale.

• Writing software to deploy AI models and pipelines in real time applications (inference).

• Apply low precision inference, quantization, and compression of DNNs.

• Continuously improve inference latency, accuracy and power consumption of DNNs.

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas

Education Requirements:

• You are graduating with a MS, or Ph.D. degree in Computer Science, Computer Engineering, Applied Math, or related field.

Experience Requirements:

• Strong C++/ C or Python programming and software design skills, including debugging, performance analysis, and test design.

• Strong expertise on deep learning quantization

• Strong expertise on NN compiler (TVM, MLIR, GLOW, LLVM) experience

• Strong expertise on NN model pruning

• Strong expertise on Cadence DSP programming

Other Requirements:

• Numerical methods experience

• Knowledge of computer architecture

• Python experience

• Experience with Deep Learning Frameworks such as TensorFlow, PyTorch, and MXNet

Responsibilities:

• Contributing to deep learning infrastructure, data pipelines, tools and workflows that lay the foundation for building AI at scale.

• Writing software to deploy AI models and pipelines in real time applications (inference).

• Apply low precision inference, quantization, and compression of DNNs.

• Continuously improve inference latency, accuracy and power consumption of DNNs.

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.

Experience Requirements:

• Strong proficiency in compiler development, including experience with LLVM, MLIR, TVM, or similar frameworks.

• Expertise in Machine Learning model execution, optimization, and deployment.

• Strong programming skills in C++, Python, and assembly-level optimizations.

• Knowledge of parallel computing, vectorization, and memory hierarchy optimizations.

• Familiarity with deep learning frameworks (TensorFlow, PyTorch, ONNX).

Other Requirements:

• Strong analytical skills for performance profiling and debugging.

• Experience in graph optimizations, quantization, and code generation.

• Knowledge of heterogeneous computing, DSPs, and low-level hardware programming.

• Familiarity with AI model deployment and inference optimization techniques.

• Background in high-performance computing (HPC).

Responsibilities:

• Develop and optimize compiler toolchains for ML accelerators, including front-end parsing, intermediate representation (IR) transformations, and backend code generation.

• Implement and enhance ML-specific optimizations such as operator fusion, memory layout transformations, quantization-aware compilation, and scheduling.

• Collaborate with hardware architects to co-design compiler optimizations aligned with accelerator capabilities.

• Work on ML frameworks (PyTorch, ONNX) to integrate compiler passes for efficient execution on target hardware.

• Improve performance through domain-specific optimizations, autotuning, and parallelization techniques.

Education Requirements:

• MS/PhD in Computer Science, Electrical Engineering, or a related field.

Experience Requirements:

• 2+ years of experience in computer vision, machine learning, and deep learning development.

• Proficiency in Python and C++ with hands-on programming skills; familiarity with embedded systems is a plus.

• Experience with Deep network development (visual data focus), object detection, tracking, and 3D computer vision.

• Experience with Structure from motion, network-based sensor fusion, and mathematical optimization.

• Familiarity with ADAS and autonomous driving technology, particularly in 3D object detection and semantic segmentation.

Other Requirements:

• Mandarin proficiency is a plus.

Responsibilities:

• Develop deep learning-based perception algorithms, including object detection, lane detection, semantic segmentation, depth estimation, curb detection, etc.

• Design and evaluate cutting-edge network structures and training methods for vision tasks.

• Implement network compression and quantization-aware training to optimize models for ASIC hardware deployment.

• Conduct prototype development, regression testing, benchmark testing, and performance evaluation.

• Prepare demos to showcase model performance and deploy solutions on embedded platforms.

Education Requirements:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Semiconductor Engineering, or related technical field.

• JD (Juris Doctor) or equivalent legal qualification from a recognized institution.

Experience Requirements:

• 1-3 years of experience in IP law, preferably in the semiconductor or technology industry.

• Admission to a bar association and registration with a patent office (e.g., USPTO, CNIPA, EPO) is preferred.

• Strong knowledge of patent laws, IP litigation, and technology licensing.

Other Requirements:

• Ability to analyze complex technical and legal issues and provide strategic recommendations.

• Excellent communication and organizational skills.

• Bilingual: English/Mandarin Preferred

Responsibilities:

• Assist in drafting, reviewing, and prosecuting patent applications in collaboration with external counsel.

• Monitor and analyze industry trends, competitor patents, and potential IP risks.

• Support IP litigation, enforcement, and licensing activities.

• Review and negotiate IP-related agreements, including NDAs, joint development agreements, and licensing agreements.

• Educate engineers and R&D teams on IP best practices and invention disclosures.

Benefits:

• Health insurance (medical, dental, vision)

• Retirement planning (401k)

• Paid time off

Education Requirements:

• Bachelor’s Degree from recognized post-secondary institution, or an equivalent combination of education and experience.

Experience Requirements:

• Minimum of 1 to 3 years’ experience in regulated industry (related experience may be considered)

Other Requirements:

• Proficient in Microsoft Office, Adobe

• Strong verbal, written, organizational, time management and interpersonal skills

• Flexible and have an entrepreneurial mindset

Responsibilities:

• Overall coordination of controlled documentation and managing the change order process

• Administer trainings and follow through on completion

• Facilitate the corrective action process and implementation of actions

• Support external audits, including notified body, FDA, and customer audits

• Schedule and perform internal audits, create audit plans and reports

Benefits:

• Health insurance (medical, dental, vision)

• Retirement planning (401k)

• Paid time off

Education Requirements:

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

Experience Requirements:

• Minimum of 3-5 years of experience in software quality assurance or quality engineering

• Experience in the medical device or healthcare software industry

• Project management experience (leading a team or project)

• Experience with software medical device quality system validation practices

• Experience in Agile/Scrum environments

Other Requirements:

• Proficient in Python and Playwright

• Knowledge of FDA, ISO 13485, and IEC 62304

• Certification in software testing (e.g., ISTQB) is a plus

• Knowledge of HIPAA compliance and data privacy regulations

• Experience with medical imaging formats such as DICOM

Responsibilities:

• Design, develop, and execute test plans and test cases for medical software

• Develop manual and automated testing scenarios for AI model results

• Ensure compliance with industry standards and regulatory guidelines (FDA, ISO 13485)

• Prepare and maintain detailed test documentation and reports

• Identify, document, and track software defects

Benefits:

• Health insurance (medical, dental, vision)

• Retirement planning (401k)

• Paid time off

Experience Requirements:

• 7+ years of experience building large-scale backend or distributed systems

• 2+ years managing or leading technical teams

• Deep experience with cloud-native distributed architectures (AWS preferred)

• Experience building or managing multi-tenant SaaS systems

• Experience operating systems in compliance-sensitive environments (healthcare, finance)

Other Requirements:

• Hands-on knowledge of event-driven systems (Kafka/Kinesis/PubSub)

• Proficient in modern programming languages (Python, Go, Java, or similar)

• Knowledge of distributed data storage (S3, RDS, DynamoDB, Delta Lake)

• Experience with workflow orchestration frameworks

• Flexible and have an entrepreneurial mindset

Responsibilities:

• Lead, mentor, and develop a team of backend and platform engineers

• Drive execution of critical platform initiatives like DICOM ingestion and data pipelines

• Provide hands-on technical guidance in system design and cloud-native architecture

• Work with Product Management to break down features into technical plans

• Partner with Data Science/ML teams to support model training and inference workflows

Benefits:

• 100% coverage for health plans

• 401K

• Flexible PTO

• Stock options

Education Requirements:

• No specific degree is required

Experience Requirements:

• Minimum of 3 years of relevant software engineering experience (Python)

• At least 1 year of practical experience leveraging Generative AI

Other Requirements:

• U.S. Citizenship

• Possess and maintain a Secret or Top Secret security clearance

• Background check and fingerprinting

• Work from customer location on a daily basis

• Willingness to travel (50%)

Responsibilities:

• Understand customer business processes to identify AI value areas

• Architect, develop, and maintain GenAI Agents and plugins using Python

• Embed with customers to provide technical leadership and hands-on support

• Build innovative GenAI features and full-stack solutions

• Implement best practices for code quality, security, and performance

Benefits:

• Passion

• Meaning

• Challenges

• Pride

• Success

Experience Requirements:

• First experience in user acquisition or performance marketing, ideally within the mobile industry

Other Requirements:

• Data-driven growth hacker with an entrepreneurial mindset

• Ability to create own roadmap and adapt quickly

• Excellent teamwork and collaboration skills

• Fluent in English

• Knowledge in French is a plus

Responsibilities:

• Crack both paid and non-paid acquisition channels using unconventional methods

• Stay up to date with industry trends and adapt them into new activations

• Manage projects end to end in a highly organized way

• Collaborate with BI and Tech teams to improve internal tools

• Link user acquisition with business and product understanding

Benefits:

• Passion

• Meaning

• Challenges

• Pride

• Success

Experience Requirements:

• First experience in user acquisition or performance marketing, ideally within the mobile industry

Other Requirements:

• Familiar with major UA platforms (Meta Ads, Google Ads, AppLovin, etc.)

• Familiar with MMPs (Appsflyer, Adjust, etc.)

• Solid experience in data-driven decision-making and A/B testing

• Fluent in English

• Knowledge in French is a plus

Responsibilities:

• Define, execute, and optimize user acquisition strategies across multiple apps

• Drive and analyze campaign performance using LTV and cohort analysis

• Collaborate with product team to identify growth opportunities

• Work with the Creative team to define marketability and communication angles

• Identify new touchpoints and maintain a mindset of innovation and testing

Benefits:

• Passion

• Meaning

• Challenges

• Pride

• Success

Experience Requirements:

• First experience as a creative position in a performance marketing ecosystem

Other Requirements:

• Good editing and motion design skills (After Effects and Adobe Premiere)

• Ability to incorporate innovative tools like AI solutions

• Knowledge of data-driven marketing and mobile industry

• Fluent in English

• Knowledge in French is a plus

Responsibilities:

• Create performing video ads for multiple networks

• Deeply analyze the performance and rationale of creative work

• Continuously benchmark competitors and monitor viral trends

• Work on a large variety of apps (music, coloring, utilities)

• Share ideas and techniques within the team

Benefits:

• On-site gym

• Healthy snacks

• Relaxation areas

• Services (hairdresser, manicure, osteopath)

• Competitive compensation

Experience Requirements:

• 5+ years of experience in Project Management or Product Ownership in B2C mobile apps

Other Requirements:

• Technical fluency in iOS/Android, SDK integrations, and APIs

• Passion for productivity and AI-driven systems/automation

• Understanding of ASO, UA, and monetization models

• Master of organization

• Alignment with MWM core principles

Responsibilities:

• Lead the post-deal phase by driving the integration of external studios

• Oversee the integration of SDKs, APIs, and proprietary tech stacks

• Define the roadmap to elevate product quality and user experience

• Orchestrate the growth roadmap with UA and Monetization teams

• Analyze KPIs and market trends to steer the product vision

Benefits:

• On-site gym

• Healthy snacks

• Relaxation areas

• Mentoring

• Competitive salary

Other Requirements:

• Passion for mobile and UI/UX sensitivity

• Mastery of Figma and interactive prototyping

• Excellent communication skills

• Knowledge of iOS/Android constraints preferred

Responsibilities:

• Design fluid mobile interfaces from wireframes to interactive prototypes

• Write clear specifications for developers

• Iterate with the data team based on feedback and hypothesis testing

• Improve design processes, design systems, and libraries

• Perform technological watch on UI/UX, mobile, and AI trends

Education Requirements:

• Bachelor's, Master's, or PhD degree in Computer Science, Vision & Perception, Robotics, or a related field

Experience Requirements:

• Minimum of 4 years of working experience in computer vision, machine learning, or a related field

• Proven experience in computer vision projects and teams, with a strong portfolio of successful deployments

Other Requirements:

• Proficiency in programming languages such as Python and C++

• Experience with libraries such as OpenCV, TensorFlow, PyTorch

• Experience with Docker and deep learning training on GPUs

• Experience with ROS is a plus

• Knowledge of inference engines and optimization methods

Responsibilities:

• Design, development, and optimization of computer vision algorithms

• Develop high-performance and scalable computer vision and perception algorithms

• Review developer’s code in the team to ensure quality

• Collaborate with robotics and cloud software teams

• Mentor and guide a team of computer vision engineers

Benefits:

• Holiday options based on company-wide policies

Experience Requirements:

• Entry level

• Motivated more by curiosity and learning than by formal qualifications

Other Requirements:

• Legally eligible to work in Rwanda

• Exceptional attention to detail

• Strong proficiency with English (SPAG)

• Understanding of the cyber attack landscape

• Interest in threat modelling or threat hunting

Responsibilities:

• Design and build cybersecurity scenarios from detailed scripts

• Use generative AI tools to create video reels, voice memos, and personas

• Ensure scenarios are realistic, internally consistent, and free from errors

• Test scenarios repeatedly and patiently until no mistakes remain

• Review content for language quality, logic, and realism

Benefits:

• Technically challenging environment

• High-trust role with Nasdaq listed tech company

Experience Requirements:

• 2+ years offensive security / pentesting experience

• Entry level

Other Requirements:

• Strong web & API security fundamentals (OWASP)

• Cloud experience (AWS / Azure / GCP)

• Clear technical reporting

• OSCP or similar (Nice to have)

Responsibilities:

• Manual and automated pentesting of web apps, APIs, cloud and internal systems

• Identify real-world risk and work directly with engineers on fixes

• Support threat modelling and red-team activities

Experience Requirements:

• Experience shipping reliable software in real-world environments

Other Requirements:

• Proficiency in Python (Async, IO) and TypeScript/JavaScript (Next.js/React)

• Practical understanding of peripheral/device control and drivers

• Solid understanding of networking fundamentals and Linux system debugging

Responsibilities:

• Design and operate production-grade apps for HW screening and factory workflows

• Build Python-based backends for device control, log parsing, and automated validation

• Develop Next.js Web UIs for monitoring, error triage, and configuration management

• Implement peripheral control and integration (USB, UART, I2C, SPI) with a focus on safety

• Troubleshoot full-stack issues from device connectivity to system-level latency