690 Algorithms jobs in Singapore

We are partnered with a Private Equity firm that is expanding its rading technology capabilities. They are seeking a highly skilled Algorithms Developer to join their Singapore team.

The role focuses on building performant, production-grade algorithms that power trading and decision-making across diverse and dynamic markets. You will be part of a small, highly focused team

Responsibilities

• Research, design, and implement low-latency, production-grade algorithms for arbitrage and trading strategies.
• Build and optimize high-performance systems to handle large volumes of real-time data.
• Conduct data-driven analysis of markets to uncover inefficiencies and trading opportunities.
• Develop and maintain backtesting frameworks to validate strategies under varied market conditions.
• Profile, benchmark, and tune code for throughput and latency improvements.
• Collaborate with traders and engineers to translate ideas into live strategies quickly and iteratively.
• Contribute to core infrastructure supporting algorithmic trading (distributed systems, monitoring, data pipelines).

Requirements

• Bachelor's degree or higher in Computer Science, Mathematics, Engineering, or a related technical field.
• 4+ years of experience working with algorithms, data structures, and complexity analysis.
• Expert programming skills in at least one of: C++ (preferred), Rust, or Java. Strong Python skills for prototyping and data analysis.
• Experience with low-level optimization (memory management, concurrency, multithreading).
• Proficiency with Linux systems and performance profiling/debugging tools.
• Familiarity with networking protocols and real-time data handling (sockets, TCP/UDP, gRPC).
• Solid understanding of probability, statistics, and numerical methods.
• Prior exposure to high-frequency/low-latency systems, distributed computing, or trading environments is a plus.

Apply now or send your CV to We will reach out if your profile aligns with the requirements.

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About SHOKZ

As the first bone conduction headset manufacturer in China, Shokz pioneered the foray into patented bone conduction technology and has built itself as a world-renowned headphone brand with its signature open-ear design. Utilising numerous patented acoustics and health technologies in areas like bone conduction and other related acoustic technology, Shokz aims to accelerate the development of their True Wireless Stereo ("TWS") series and their bone-conduction hearing aid product line.

Job Description

We are dedicated to the research and design of speech, audio, and physiological signal processing algorithms to dramatically improve the product experience through algorithms. Here, you will work with the most innovative people, keep up with the cutting-edge direction, and do innovative algorithmic research for unique products. You will explore real user needs, research algorithmic prototypes, implement algorithmic solutions, and design algorithmic applications for products.

Job Scope

1.Responsible for the research of algorithms applied to acoustic, hearing aids and wearable devices, such as front-end processing and sound effects, voice enhancement, active noise reduction, auditory scene analysis and other acoustic and audiological algorithms, as well as algorithms for physiological signal processing and analysis, and action classification and recognition; 

2.Responsible for the implementation of the algorithms on the hardware platform to improve the function, performance and reliability of the algorithms;

3.Responsible for the application of algorithms in products to enhance product advantages and user experience.

Job Requirement

1.Master or PhD, majoring in acoustics, audiology, electronic engineer, biomedical engineering, optoelectronic information science and engineering, signal and information processing, medical information engineering, computer science, maths;

2. Clear logic, good at conjecture, able to quickly track the latest global scientific research results, and inspire innovation;

3. Loving scientific research, committed to the marketization of scientific research results, and gain confidence, fun and profit from it;

4.Experience in signal processing, mathematical modeling competitions, acoustics projects is preferred.

Overview

Research Fellow (Applied Quantum Algorithms) at National University of Singapore .

• Collaborate with Miklos Santha and Patrick Rebentrost to develop novel quantum algorithms and subroutines, with a focus on methods applicable to machine learning and finance.
• Engage in both theoretical work (formulating and proving theorems) and numerical work (converting algorithms into circuits and simulating them).
• Demonstrate proof-of-concept hardware demonstrations of quantum algorithms.

• A doctorate in mathematics, computer science, physics, or equivalent from a top university.
• Demonstrated research in the development of quantum algorithms toward applications.
• Proven ability to communicate research in written and spoken form.

Location: Kent Ridge Campus

Organization: National University of Singapore

Department: Centre for Quantum Technologies

Job requisition ID: 30121

Overview
Research Fellow (Applied Quantum Algorithms)
at
National University of Singapore .
Responsibilities
Collaborate with Miklos Santha and Patrick Rebentrost to develop novel quantum algorithms and subroutines, with a focus on methods applicable to machine learning and finance.
Engage in both theoretical work (formulating and proving theorems) and numerical work (converting algorithms into circuits and simulating them).
Demonstrate proof-of-concept hardware demonstrations of quantum algorithms.
Qualifications
A doctorate in mathematics, computer science, physics, or equivalent from a top university.
Demonstrated research in the development of quantum algorithms toward applications.
Proven ability to communicate research in written and spoken form.
Details
Location: Kent Ridge Campus
Organization: National University of Singapore
Department: Centre for Quantum Technologies
Job requisition ID: 30121
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Work Schedule

Environmental Conditions

Job Description

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion and extensive investment in R&D. Our Mission is to enable our customers to make the world healthier, cleaner and safer. The customers we serve fall within pharmaceutical and biotech companies, hospitals and clinical diagnostic labs, universities, research institutions and government agencies. Our innovations drive scientific breakthroughs, from pioneering research to routine testing and real-world applications.

Summary of Opportunity

Are you ready to tackle the complexities of developing intuitive, multi-layered scientific applications? Do you see patterns in multi-dimensional data and invent innovative ways to present them, even in your dreams? Are you driven to build products that truly make a difference – making the world heathier, safer, cleaner every day? If so, we’d love to discuss the products and infrastructure we’re developing. This role presents an outstanding opportunity to develop applications that deliver AI solutions in the biotechnology space. It offers the chance to innovate data visualization and build intuitive, performant, data-intensive solutions for the omics sciences.

We are seeking an early to mid-career developer with a strong interest and background in Web UI Development and some experience in backend programming languages. The ideal candidate will be enthusiastic about building dynamic and visually engaging scientific web applications. We also want you to be a meticulous engineer who takes pride in writing impeccable code. Join us and in the life sciences revolution!

Responsibilities

• Develop and maintain responsive, user-friendly web interfaces using React, Angular, or Vue.
• Collaborate with backend engineers to integrate APIs and ensure smooth data flow.
• Write clean, efficient, and maintainable code following best practices.
• Participate in UI/UX discussions and contribute to design improvements.
• Troubleshoot, debug, and optimize front-end performance.
• Stay up-to-date with the latest industry trends and technologies.

Education

BSin Computer Sciences, IT Engineering ora relatedfield.

Required Qualifications

• 1–2 years of experience in Web UI development using React, Angular, or Vue.
• Some experience in Python, Java, or C++.
• Strong understanding of HTML, CSS, and JavaScript.
• Familiarity with version control systems like Git.

Desired Qualifications

• Full-stack development experience.
• Experience with hosting web applications using FastAPI, Django, or similar frameworks.
• Proficiency in prototyping tools like Figma, Sketch, or Adobe XD.

At Thermo Fisher Scientific, each one of our 70,000 extraordinary minds has a unique story to tell. Join us and contribute to our singular mission—enabling our customers to make the world healthier, cleaner, and safer. Apply today!

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status.

An overview of this role

This role focuses on leading research and development at the intersection of fault-tolerant quantum computing (FTQC) and large-scale algorithms for AI and simulation. You will use Loom, Entropica's quantum error correction compiler, to analyse the resource requirements and performance of fault-tolerant quantum algorithms, particularly those relevant to foundational mathematical functions in large language models (LLMs) and neural networks.

As Quantum Algorithms Lead, you will work hands-on with algorithm implementation, resource estimation, and performance benchmarking, while also exploring collaborations with academic and industry partners to test novel quantum neural network designs and AI models. Success requires a strong background in quantum mechanics, algorithms, and computational physics, plus the creativity to bridge theoretical insight with practical, architecture-aware FTQC implementation.

What You will contribute:

• Lead the design and benchmarking of FTQC algorithms, focusing on their feasibility.
• Identify and model the mathematical primitives in LLMs and neural networks most likely to benefit from quantum acceleration.
• Use Entropica's Loom compiler and software stack to perform rigorous QEC resource estimations and speedup analyses.
• Compare QEC codes for different quantum algorithms to outline possible architectures for specialised QPUs based on the implementation requirements.
• Explore and evaluate quantum-native AI model architectures with academic and industry partners.
• Translate research findings into actionable recommendations for compiler optimisation and FTQC orchestration.
• Publish and present research internally and externally to position Entropica as a leader in fault-tolerant quantum error correction.
  Maintain close collaboration with the compiler and orchestration teams to ensure alignment between theory and system requirements.

Job Requirements:

• Strong background in quantum mechanics, quantum algorithms and computational physics.
• Experience with resource estimation for quantum algorithms and familiarity with QEC concepts.
• Proficiency in Python and experience with scientific computing libraries.
• Familiarity with quantum programming frameworks (Qiskit, Cirq, PennyLane, or similar).
• Strong analytical skills and ability to translate theoretical models into implementable algorithms.
• Excellent communication skills for technical and non-technical audiences.
• PhD in Physics, Computer Science, or a related quantitative field.

Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion and extensive investment in R&D. Our Mission is to enable our customers to make the world healthier, cleaner and safer. The customers we serve fall within pharmaceutical and biotech companies, hospitals and clinical diagnostic labs, universities, research institutions and government agencies. Our innovations drive scientific breakthroughs, from pioneering research to routine testing and real-world applications.
Summary of Opportunity
Are you ready to tackle the complexities of developing intuitive, multi-layered scientific applications? Do you see patterns in multi-dimensional data and invent innovative ways to present them, even in your dreams? Are you driven to build products that truly make a difference – making the world heathier, safer, cleaner every day? If so, we’d love to discuss the products and infrastructure we’re developing. This role presents an outstanding opportunity to develop applications that deliver AI solutions in the biotechnology space. It offers the chance to innovate data visualization and build intuitive, performant, data-intensive solutions for the omics sciences.
We are seeking an early to mid-career developer with a strong interest and background in Web UI Development and some experience in backend programming languages. The ideal candidate will be enthusiastic about building dynamic and visually engaging scientific web applications. We also want you to be a meticulous engineer who takes pride in writing impeccable code. Join us and in the life sciences revolution!
Responsibilities
Develop and maintain responsive, user-friendly web interfaces using React, Angular, or Vue.
Collaborate with backend engineers to integrate APIs and ensure smooth data flow.
Write clean, efficient, and maintainable code following best practices.
Participate in UI/UX discussions and contribute to design improvements.
Troubleshoot, debug, and optimize front-end performance.
Stay up-to-date with the latest industry trends and technologies.
Education
BSin Computer Sciences, IT Engineering ora relatedfield.
Required Qualifications
1–2 years of experience in Web UI development using React, Angular, or Vue.
Some experience in Python, Java, or C++.
Strong understanding of HTML, CSS, and JavaScript.
Familiarity with version control systems like Git.
Desired Qualifications
Full-stack development experience.
Experience with hosting web applications using FastAPI, Django, or similar frameworks.
Proficiency in prototyping tools like Figma, Sketch, or Adobe XD.
At Thermo Fisher Scientific, each one of our 70,000 extraordinary minds has a unique story to tell. Join us and contribute to our singular mission—enabling our customers to make the world healthier, cleaner, and safer. Apply today!
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status.
#J-18808-Ljbffr

Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion and extensive investment in R&D. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. The customers we serve include pharmaceutical and biotech companies, hospitals and clinical diagnostic labs, universities, research institutions, and government agencies. Our innovations drive scientific breakthroughs, from pioneering research to routine testing and real-world applications.
Summary of Opportunity
Do you thrive on building systems that push the boundaries of AI and GenAI? Are you driven to address complex, real-world challenges with dynamic software that acts like an experienced agent? Are you motivated to create products that truly make a difference—making the world healthier, safer, and cleaner every day? If so, we’d love to discuss the innovative products we’re developing. You will have the opportunity to work on complex, data-intensive challenges in the omics science domains, leveraging ground-breaking research in AI to develop novel algorithms and techniques in this growing industry.
We are seeking a mid-career developer with a strong interest and background in AI and generative AI technologies. You will work with deep learning models, optimize algorithm performance, and drive innovation with AI-powered solutions. Collaboration with multi-functional teams to integrate AI/ML solutions into products and services is essential. This role offers hands-on experience with modern AI technology. Join us in the genomics revolution!
Responsibilities
Design and develop robust deep learning models for genomics, image processing, time-series analysis, and related applications.
Develop and implement data processing pipelines for large-scale genomics datasets (e.g., sequencing data, variant calling data, gene expression data).
Optimize model performance considering data variability, noise, and computational efficiency.
Collaborate with multi-functional teams to deploy scalable AI solutions and integrate models into customer-facing applications.
Implement automated testing and monitoring systems to assess model quality and performance.
Deploy and maintain ML models in production environments, ensuring scalability and reliability.
Present technical findings and progress updates to team members and partners.
Education
BS in Computer Science, Mathematics, Statistics, or related field; a Master’s degree is highly preferred.
Required Qualifications
3+ years of experience in developing and deploying machine learning models.
Proficient in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Familiarity with data preprocessing and feature engineering techniques.
Experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging).
Familiarity with version control systems like Git.
Desired Qualifications
Master's or Ph.D. in a relevant field.
5+ years of experience with ML models for genomics data analysis.
Experience with containerization and orchestration tools (Docker, Kubernetes).
Expertise in Python; experience with C++/Java is a plus.
Knowledge of MLOps practices and tools.
Familiarity with LLMs, LangChain, LlamaIndex, and RAG frameworks.
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