2,669 Graduate Research Assistant AI Machine Learning Remote jobs in Kenya
Lead Quantum Computing Researcher - Algorithm Development
Posted 12 days ago
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Job Description
Our client, a pioneering force in scientific innovation, is seeking an exceptional Lead Quantum Computing Researcher to spearhead groundbreaking work in algorithm development. This fully remote position offers the unique opportunity to contribute to the future of computation from anywhere in the world. You will be at the forefront of designing, simulating, and implementing novel quantum algorithms for complex problem-solving across various domains, including cryptography, drug discovery, and materials science. The successful candidate will possess a Ph.D. in Physics, Computer Science, Mathematics, or a related field, with a deep theoretical understanding of quantum mechanics and quantum information theory. Proven experience in developing and testing quantum algorithms using platforms like Qiskit, Cirq, or PennyLane is essential. You will lead a team of talented researchers, fostering a collaborative and intellectually stimulating remote environment. Your responsibilities will include defining research objectives, securing funding through grant proposals, publishing findings in top-tier journals, and presenting at international conferences. This role demands a visionary thinker capable of translating complex theoretical concepts into practical, implementable quantum solutions. The ability to mentor and guide junior researchers, manage project timelines, and effectively communicate research progress to both technical and non-technical audiences is crucial. As a remote-first role, strong self-discipline, excellent communication skills, and a proactive approach to problem-solving are paramount. This is an unparalleled opportunity to shape the trajectory of quantum computing, working remotely and contributing to transformative scientific advancements from your home base, conceptually linked to Kericho, Kericho, KE .
Key Responsibilities:
Key Responsibilities:
- Lead the research and development of novel quantum algorithms.
- Design, simulate, and analyze quantum algorithms for real-world applications.
- Collaborate with a global team of scientists and engineers in a remote setting.
- Publish research findings in peer-reviewed journals and present at conferences.
- Mentor and guide junior researchers in quantum computing principles and practices.
- Contribute to the development of quantum software platforms and tools.
- Identify and pursue new research opportunities and funding avenues.
- Ensure the theoretical rigor and practical feasibility of developed algorithms.
- Stay updated with the latest advancements in quantum computing and related fields.
- Foster a culture of innovation and scientific excellence within the remote research group.
- Ph.D. in Physics, Computer Science, Mathematics, or a closely related quantitative field.
- Extensive experience in quantum information theory and quantum algorithm design.
- Proficiency with quantum programming frameworks (e.g., Qiskit, Cirq, PennyLane).
- Demonstrated ability to conduct independent research and lead research projects.
- Strong publication record in reputable journals.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and interpersonal skills for effective remote collaboration.
- Experience in leading or mentoring research teams is highly desirable.
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Senior Quantum Computing Researcher - Algorithm Development
Posted 9 days ago
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Job Description
Our client is at the forefront of quantum computing innovation and is seeking a highly accomplished Senior Quantum Computing Researcher to join their pioneering team. This is a fully remote position, offering an unparalleled opportunity to shape the future of computation from anywhere in the world. You will be instrumental in advancing the theoretical and practical aspects of quantum algorithms, focusing on their application in solving complex scientific and industrial problems. This role demands a deep theoretical foundation in quantum mechanics, computer science, and advanced mathematics, coupled with practical experience in quantum algorithm design and simulation. You will collaborate with leading minds in the field, pushing the boundaries of what is possible with quantum technology.
Responsibilities:
Responsibilities:
- Conceptualize, design, and develop novel quantum algorithms for specific computational challenges.
- Analyze the performance and scalability of quantum algorithms on various quantum hardware architectures.
- Conduct theoretical research and publish findings in peer-reviewed journals and present at international conferences.
- Collaborate with quantum hardware engineers to translate theoretical concepts into practical implementations.
- Develop and utilize quantum simulation tools and frameworks to test and validate algorithms.
- Mentor junior researchers and contribute to building a strong research culture within the remote team.
- Stay abreast of the latest advancements in quantum computing, quantum information theory, and related fields.
- Contribute to grant proposals and research funding applications.
- Engage with external research institutions and industry partners to foster collaboration.
- Translate complex quantum concepts into understandable explanations for diverse audiences.
- Ph.D. in Physics, Computer Science, Mathematics, or a related field with a specialization in quantum computing.
- Minimum of 5-8 years of post-doctoral research experience in quantum algorithm development or quantum information theory.
- Demonstrated expertise in quantum mechanics, linear algebra, and theoretical computer science.
- Strong programming skills in Python, with experience using quantum computing libraries (e.g., Qiskit, Cirq, PennyLane).
- Proven track record of impactful research, evidenced by publications in top-tier journals and conference presentations.
- Experience with quantum programming and simulation environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, essential for remote collaboration and dissemination of research findings.
- Ability to work independently, manage research projects, and drive innovation in a distributed environment.
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Graduate Research Assistant (AI Focus) - Remote
Posted 6 days ago
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Job Description
Our client is offering an exciting remote internship opportunity for recent graduates to gain hands-on experience in the field of Artificial Intelligence and Emerging Technologies. This role is designed for highly motivated individuals eager to contribute to cutting-edge research projects while working from their preferred location. As a Graduate Research Assistant, you will support senior researchers and engineers in various aspects of AI development, including data collection and preprocessing, model training and evaluation, and literature reviews. You will have the chance to work with state-of-the-art AI tools and platforms, contributing to projects that could range from natural language processing to machine learning applications. Key responsibilities include assisting in the design and execution of experiments, documenting research findings, and preparing reports and presentations. The intern will be expected to collaborate effectively with team members through virtual channels, demonstrating strong communication and teamwork skills. This internship provides invaluable exposure to the practical application of AI in real-world scenarios and offers a unique opportunity to learn from experienced professionals in a supportive, remote work environment. While the role is remote, the ideal candidate should be proactive, organized, and possess a strong academic background. A recent bachelor's or master's degree in Computer Science, Data Science, Mathematics, Engineering, or a related quantitative field is required. A demonstrable interest in AI and machine learning, evidenced through coursework, personal projects, or previous internships, is essential. Familiarity with programming languages such as Python and relevant AI libraries (e.g., TensorFlow, PyTorch) is highly desirable. This is a fantastic opportunity for a driven graduate to launch their career in the rapidly evolving field of AI, contributing meaningfully to impactful projects from their base near Ruiru, Kiambu, KE .
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Remote Lead Algorithmic Trading Developer
Posted 20 days ago
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Job Description
Our client, a leading global financial institution, is seeking a highly accomplished and innovative Lead Algorithmic Trading Developer to spearhead the development and enhancement of their sophisticated trading systems. This is a fully remote position, offering the flexibility to work from any location. You will be instrumental in designing, implementing, and optimizing high-frequency trading strategies, working closely with quantitative researchers and traders to translate complex mathematical models into robust, low-latency code.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of algorithmic trading strategies and infrastructure.
- Write clean, efficient, and maintainable high-performance C++ or Python code for trading systems.
- Optimize trading algorithms for speed, accuracy, and profitability.
- Collaborate closely with quantitative analysts to implement and backtest trading strategies.
- Develop and maintain real-time data processing pipelines.
- Monitor the performance of live trading systems and troubleshoot issues promptly.
- Implement robust testing frameworks, including unit, integration, and performance testing.
- Contribute to architectural decisions and technology roadmap for the trading platform.
- Mentor and guide junior developers within the team.
- Ensure compliance with all relevant financial regulations and risk management policies.
- Research and integrate new technologies to enhance trading capabilities.
- Work with exchange connectivity and market data providers.
- Master's or Ph.D. in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field.
- Minimum of 8 years of experience in software development, with at least 5 years focused on algorithmic trading or quantitative finance.
- Expert-level proficiency in C++ and/or Python for high-performance computing.
- Deep understanding of financial markets, trading strategies, and order types.
- Proven experience with low-latency systems and real-time data processing.
- Strong knowledge of data structures, algorithms, and object-oriented design principles.
- Experience with distributed systems and parallel computing.
- Familiarity with exchange APIs and FIX protocol is a significant advantage.
- Excellent problem-solving and analytical skills.
- Demonstrated leadership capabilities and experience mentoring junior team members.
- Ability to work effectively in a fast-paced, remote environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
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3
Job Description
Company Description
At
Timu AI
, we believe every business deserves a smarter teammate.
We're building
AI-powered infrastructures
that save time, cut costs, and help companies focus on what matters — their clients and their growth.
Role Description
This is a full-time role for a Machine Learning Engineer and AI specialist at The role is Remote. The Machine Learning Engineer will be responsible for developing and implementing machine learning models and algorithms, As an
AI Automation Engineer
, you'll design, build, and scale automation workflows that connect business tools, integrate AI intelligence, and create seamless digital teammates for our clients.
You'll collaborate directly with the founder and help shape the future of automation infrastructure in Africa
Key Responsibilities
- Build and optimize
n8n workflows
for real-world business use cases (starting with the Legal Industry). - Connect APIs (Google Calendar, WhatsApp Business API, CRMs, Gmail, etc.).
- Integrate
AI features
using OpenAI API or LangChain (for scheduling, smart responses, or data analysis). - Manage workflow hosting and deployment (self-hosted or cloud environments).
- Implement authentication, error handling, and logging within workflows.
- Collaborate in developing a repeatable
automation framework
for future industries. - Write documentation for all automations built.
Qualifications
- Hands-on experience with
n8n
,
Make (Integromat)
, or
Zapier
. - Strong understanding of
APIs
,
webhooks
, and
JSON
. - Proficient in
JavaScript/TypeScript
or
Python
. - Experience with
databases
(Airtable, PostgreSQL, or MongoDB). - Familiarity with
AI tools/APIs
(OpenAI, HuggingFace, LangChain). - Understanding of basic
data security and authentication
practices. - Strong problem-solving mindset and willingness to learn fast.
What You'll Gain
- Equity in Timu AI — you'll own part of what we build.
- A real seat at the table as one of the founding engineers.
- A chance to shape how AI automation is implemented across multiple industries.
If you've ever wanted to be
part of something from day one
— this is it.
We're not hiring an employee.
We're bringing in a
partner
who believes in Africa's potential to build world-class AI systems.
How to Apply
Send your portfolio or project samples (GitHub, Notion, or screenshots) + a short note explaining:
"How would you automate appointment scheduling for a firm?"
Email :
Subject Line:
AI Automation Engineer – (Your Name)
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4
Machine Learning Engineer - AI Research
Posted 20 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is seeking a highly talented and driven Machine Learning Engineer to join their advanced research team. This is a fully remote position, offering the opportunity to work on groundbreaking projects from anywhere. The ideal candidate will have a strong academic background and hands-on experience in developing, deploying, and optimizing machine learning models. You will be instrumental in designing and implementing cutting-edge algorithms, conducting experiments, and contributing to the advancement of artificial intelligence. Your responsibilities will include data preprocessing, feature engineering, model selection, training, evaluation, and deployment. You will collaborate closely with data scientists, software engineers, and domain experts to translate research findings into practical AI solutions. Experience with various ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) is essential. A deep understanding of statistical modeling, algorithms, and data structures is required. This role demands a curious and analytical mind, with a passion for solving complex problems and pushing the boundaries of machine learning. The ability to work independently, manage research projects, and communicate technical findings effectively in a remote setting is crucial. We are looking for individuals who are eager to contribute to impactful research and development in the field of AI. You will have the opportunity to work with large datasets and cutting-edge computational resources. The successful candidate will possess strong programming skills in Python or other relevant languages, and a commitment to staying current with the latest advancements in ML and AI research. This is an exceptional opportunity for a skilled engineer to make significant contributions to the field and work in a highly collaborative and innovative remote environment.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Conduct research and experiments to advance AI capabilities.
- Process, clean, and analyze large datasets.
- Perform feature engineering and model selection.
- Train, evaluate, and optimize machine learning models.
- Deploy ML models into production environments.
- Collaborate with research and engineering teams on AI projects.
- Stay up-to-date with the latest advancements in ML and AI.
- Document research findings and technical specifications.
- Contribute to the development of new AI products and services.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 3+ years of experience in machine learning engineering or AI research.
- Proficiency in programming languages such as Python.
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Strong understanding of statistical modeling, algorithms, and data structures.
- Experience with data manipulation and analysis tools.
- Excellent problem-solving and analytical skills.
- Ability to work independently and manage research projects in a remote setting.
- Strong communication and presentation skills.
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5
Principal Machine Learning Engineer - AI Research
Posted 10 days ago
Job Viewed
Job Description
Our client, a pioneer in AI innovation, is seeking a highly accomplished and visionary Principal Machine Learning Engineer to lead their advanced research initiatives. This is a fully remote position, offering an unparalleled opportunity to work on groundbreaking AI projects from anywhere. You will be at the forefront of developing and implementing state-of-the-art machine learning models, algorithms, and systems that push the boundaries of artificial intelligence. Your responsibilities will include designing scalable ML architectures, conducting rigorous experimentation, and translating complex research findings into practical applications. This role requires a deep theoretical understanding of ML concepts, including deep learning, natural language processing, computer vision, and reinforcement learning, coupled with extensive hands-on experience in building and deploying production-ready ML solutions. You will mentor junior engineers, lead technical strategy, and collaborate closely with research scientists and product teams. The ideal candidate will possess a strong publication record in top-tier AI conferences or journals, demonstrating significant contributions to the field. Excellent programming skills in Python and proficiency with ML frameworks such as TensorFlow, PyTorch, or Keras are essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is also highly valued. This remote role demands exceptional problem-solving skills, creativity, and the ability to drive complex projects to completion independently. Strong communication skills are vital for sharing research insights and collaborating with a global team. If you are a passionate AI researcher and engineer driven by innovation and eager to shape the future of AI, this is the role for you.
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6
AI Research Engineer - Machine Learning Optimization
Posted 15 days ago
Job Viewed
Job Description
Our client, a pioneering force in artificial intelligence, is seeking a brilliant and motivated AI Research Engineer specializing in Machine Learning Optimization to join their fully remote research division. You will be at the forefront of developing and refining cutting-edge machine learning algorithms and models, pushing the boundaries of what's possible in AI. This role involves conducting theoretical research, designing novel algorithms, implementing and evaluating them on large-scale datasets, and optimizing their performance for efficiency and accuracy. The ideal candidate will have a strong background in machine learning theory, deep learning architectures, and optimization techniques. You will collaborate closely with a distributed team of world-class AI researchers and engineers, contributing to significant advancements in areas such as natural language processing, computer vision, and reinforcement learning. This position offers the chance to work on challenging problems, publish groundbreaking research, and develop AI systems that will shape the future.
Key Responsibilities:
Key Responsibilities:
- Conduct fundamental research in machine learning, focusing on algorithm design and optimization.
- Develop and implement novel deep learning models and optimization techniques.
- Analyze and interpret experimental results, identifying areas for improvement.
- Benchmark and evaluate the performance of AI models on large-scale datasets.
- Collaborate with a remote team of researchers and engineers to advance AI capabilities.
- Optimize ML models for deployment on various platforms, considering computational constraints.
- Stay abreast of the latest research and trends in AI and machine learning.
- Contribute to technical documentation, research papers, and conference presentations.
- Prototype and test new AI solutions, assessing their feasibility and impact.
- Participate in code reviews and knowledge sharing sessions within the research team.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Strong theoretical foundation in machine learning, statistical modeling, and optimization.
- Proven experience in developing and implementing deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python, C++, or Java.
- Experience with large-scale data processing and distributed computing environments.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication abilities for technical documentation and presentations.
- Ability to work independently and effectively in a remote team environment.
- Demonstrated experience with published research or contributions to open-source AI projects is highly desirable.
- Familiarity with cloud platforms (AWS, GCP, Azure) for ML workloads.
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7
AI Research Engineer - Machine Learning Models
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a brilliant and driven AI Research Engineer to advance their capabilities in machine learning and artificial intelligence. This is a fully remote position, allowing you to contribute your expertise from anywhere in the world. You will be responsible for researching, developing, and implementing state-of-the-art machine learning models and algorithms to solve complex business challenges. This role requires a deep understanding of various AI techniques, including deep learning, natural language processing, computer vision, and reinforcement learning. Responsibilities include designing and conducting experiments to evaluate model performance, optimizing algorithms for efficiency and scalability, and staying abreast of the latest advancements in the AI field. You will collaborate closely with software engineers and product managers to integrate AI solutions into our platforms and services. Experience with major deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn) is required. The ideal candidate will have a strong theoretical foundation in machine learning, coupled with practical experience in deploying models into production environments. Excellent problem-solving skills, strong analytical abilities, and exceptional communication skills are necessary. You must be comfortable working independently in a remote setting, driving research initiatives, and presenting complex technical findings to diverse audiences. This is an exceptional opportunity to work on cutting-edge AI technologies, push the boundaries of what's possible, and make a significant impact on our company's innovation trajectory. We are looking for individuals who are passionate about AI, possess a strong academic background, and are eager to contribute to groundbreaking research and development. Your innovative thinking will be key to developing next-generation AI solutions.
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8
Senior Machine Learning Engineer (AI Research)
Posted 20 days ago
Job Viewed
Job Description
Our client is at the forefront of artificial intelligence research and is seeking an accomplished Senior Machine Learning Engineer to join their pioneering, fully remote team. This role is integral to developing and deploying cutting-edge machine learning models and algorithms that drive our client's innovative solutions. The ideal candidate possesses a deep theoretical understanding of ML principles, coupled with extensive practical experience in building and scaling ML systems. You will lead research initiatives, mentor junior engineers, and contribute to the architectural design of our ML infrastructure. This position offers the unique benefit of working remotely, allowing you to contribute your expertise from anywhere while collaborating with a globally distributed team of AI experts.
Key Responsibilities:
Key Responsibilities:
- Design, implement, and deploy advanced machine learning models and algorithms for various applications.
- Conduct cutting-edge research into new ML techniques and their potential applications.
- Develop and optimize production-level ML pipelines for training, evaluation, and deployment.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, in a remote setting.
- Architect and build scalable, robust, and efficient ML systems.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
- Mentor and guide junior machine learning engineers and data scientists.
- Evaluate and integrate new technologies and tools to improve ML capabilities.
- Contribute to the company's intellectual property through publications and patents.
- Ensure the ethical and responsible development and deployment of AI systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of progressive experience in machine learning engineering or research.
- Proven track record of developing and deploying complex ML models in production environments.
- Expertise in programming languages such as Python, and ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of deep learning architectures, natural language processing (NLP), computer vision, or reinforcement learning.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and interpersonal skills for effective collaboration in a remote team.
- Demonstrated leadership capabilities and experience mentoring others.
- Strong understanding of data structures, algorithms, and software design principles.
- Commitment to reproducible research and rigorous scientific methodology.
- A passion for pushing the boundaries of AI and its real-world applications, while based anywhere, your impact is felt globally.
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