1,173 Machine Learning Engineer jobs in Singapore

Machine Learning Engineer page is loadedMachine Learning Engineer Apply remote type Onsite locations Singapore, Singapore time type Full time posted on Posted Yesterday time left to apply End Date: October 30, 2025 (30+ days left to apply) job requisition id R

Machine Learning Engineer

In the rapidly moving Artificial Intelligence era, few spaces are moving faster than the AI-enabled PC. As a leading provider of world-class technology, this means bringing more intelligence into the PC ecosystem, enabling superior performance, enhanced productivity, and delightful experiences while maintaining privacy and security. We’re developing innovative approaches to introducing intelligence across our client PC portfolio by leveraging current methodologies, models, and tools to develop a robust end-user ecosystem. What’s more, we are collaborating with leading AI technology companies, academics, industry experts, and skilled engineers to deliver cutting-edge solutions that redefine the user experience.

Join us to do the best work of your career and make a profound social impact as a Machine Learning Engineer on our Client Solutions Group (CSG) Chief Technology Officer (CTO) Advanced Architectures Team in the Singapore Design Center .

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What you’ll achieve

As a Machine Learning Engineer on the CSG CTO Advanced Architectures team, you’ll gain applied data science experience, working on a team of data scientists and embedded software engineers on Artificial Intelligence and Machine Learning solutions across the client devices portfolio. In this role, you will be responsible for realizing CTO AI initiatives, implementing algorithms, working with data scientists, data, and embedded SW engineers to rapidly develop, and deploy AI-enabled solutions for millions of end users.

You will:

• Work with engineering teams to integrate and deploy AI applications on client devices with backend cloud integration
• Work across a diverse set of telemetry collection and deployment environments inclusive of client AI/ML frameworks, endpoint & real-time OSes, and embedded firmware ecosystems
• Develop AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexities
• Conduct experiments to train, tune, and optimize Machine Learning / Deep Learning models for delivery onto client devices
• Translate business questions into compelling use cases and provide insights using data and statistical methods as well as tell stories using data; Advocate and execute strategies to adopt data and data science in all business and technical conclusions

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Master's degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component; Bachelors + 5 years, MS + 3 years minimum, or PhD.
• Some experience developing for Microsoft (MS) Windows OS including client Software Development Kits (SDKs), MS DirectML, WinML, MS Graph, and experience with embedded device development in at least one RTOS
• Solid knowledge of AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments including the ability to deliver AI / ML algorithms using one or more of C, C++, and Microsoft C#/.NET as well as strong experience with Deep Learning libraries and runtimes such as PyTorch, TensorFlow, TensorRT, and nuances of their application in Client ecosystems
• Good communicator with the ability to understand analytical methods and algorithms with a solid understanding of Large/Small Language Models, Machine Learning, Deep Learning, and Generative AI.
• Experience working in software development or other cross-functional teams

Desirable Requirements

• Bachelor’s degree / Master’s degree, solid knowledge and application of engineering concepts along with effective problem-solving ability
• Familiarity with development in real-time embedded environments and experience working with Open Neural Network Exchange (ONNX) models and the ONNX run time (ORT)as well as experience with at least one major hardware vendor toolchain such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 30 October 2025

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .

Dell Technologies helps organizations and individuals build their digital future and transform how they work, live and play. The company provides customers with the industry’s broadest and most innovative technology and services portfolio for the data era.

As a Machine Learning Engineer (Trading & Financial Intelligence), you will contribute to the development of AI-powered systems and autonomous agents that transform how financial analysis and decision-making are conducted. Working under the guidance of senior team members, you will help build intelligent solutions that analyze markets, extract insights from financial data, and support risk management using machine learning and quantitative techniques. This role offers an excellent opportunity to learn and apply both traditional ML and modern LLM-based approaches to solve real financial problems while collaborating with experienced trading, research, and product teams.

• Assist in designing and implementing machine learning solutions for financial markets, from predictive models to AI agents powered by LLMs
• Support the development of intelligent systems using traditional ML approaches (time series analysis, anomaly detection, pattern recognition) and modern agentic frameworks
• Help apply quantitative methods and data mining techniques to extract insights from financial datasets under senior guidance
• Contribute to building ML pipelines for model development, backtesting, and production deployment with monitoring frameworks
• Support research platforms that enable experimentation with both classical statistical models and LLM-based approaches for financial analysis
• Work closely with traders, quants, researchers, and senior engineers to understand and help solve complex financial problems
• Assist in developing risk assessment and portfolio optimization systems using quantitative methods and AI-driven approaches
• Participate in code reviews, documentation, and knowledge sharing to continuously improve technical skills

• We welcome all applicants who are eligible to work in Singapore
• Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, Physics, Financial Engineering, or related quantitative field
• 0-2 years of professional experience in machine learning, data science, or software engineering (internships, projects, and academic experience count)
• Solid programming skills in Python with familiarity with scientific computing libraries (pandas, numpy, scikit-learn)
• Foundational knowledge of machine learning including supervised/unsupervised learning, basic deep learning concepts, and statistical modeling
• Interest in Large Language Models and modern AI techniques - experience with prompt engineering, fine-tuning, or agentic systems is a plus but not required
• Strong mathematical and analytical foundation with ability to learn and apply quantitative concepts to practical problems
• Experience with data manipulation and basic feature engineering from structured datasets
• Eagerness to learn with ability to work collaboratively in a mentorship-oriented environment
• Good communication skills to discuss technical concepts and ask questions effectively
• Basic understanding of software engineering practices including version control (Git) and testing
• Curiosity about financial markets - prior knowledge of trading systems or quantitative finance is beneficial but not required
• Academic or personal projects demonstrating ML skills through coursework, competitions, or self-directed learning

About Unravel Carbon

At Unravel Carbon, we're on a mission to accelerate the world's transition to a zero-carbon economy. We're a team of entrepreneurs, engineers, and climate experts who believe that data and AI are the keys to unlocking a sustainable future. Our Sustainability AI agents platform helps companies across the globe to measure, reduce, and report their carbon emissions with unprecedented accuracy and efficiency. We're backed by top-tier investors like Sequoia and Y Combinator, and we're growing fast.

Our culture is built on a foundation of intellectual honesty, extreme ownership, and a relentless focus on results. We're a fun, collaborative, and purpose-driven team that isn't afraid to tackle the world's biggest challenges. If you're ready to do the best work of your life and make a real impact, we want to hear from you.

About The Role

We are looking for an early-career ML Engineer with a focus on Generative AI to join our early, growing team. It is a great opportunity to join a company that can have a material impact on fighting climate change.

As the Machine Learning team, we strive to design and build AI products and systems that are reliable, scalable, and maintainable. Some of the traits that we promote within the team are ownership, curiosity, transparency, and a strong writing culture. As an early team member, you will be expected to help shape our product direction and to strengthen the team's culture. You will collaborate closely with product managers, software engineers, designers, data engineers, and sustainability experts to ship products that create value and solve problems for our customers.

What You Will Work On

• Build AI agents for sustainability professionals that automate emissions calculations, extract insights from emissions inventory, generate sustainability reports, and streamline other key sustainability workflows.
• Develop LLM-powered systems that process and understand sustainability data from various sources like invoices, utility bills, and supply chain documents.
• Build agentic workflows that combine language models with structured data processing and domain-specific reasoning capabilities.
• Continuously improve our multi-ML model (semantic search and text classification) carbon engine that calculates carbon emissions, using millions of lines of transactional data and our proprietary data set of carbon emission factors.
• Design and build scalable, modular ML services on AWS infrastructure that serve both traditional ML models (transformer-based models like ModernBERT, T5) and LLM-based systems in production.
• Implement evaluation frameworks and quality controls for LLM-based systems to ensure reliable performance in production.
• Lead our efforts to build AI-powered systems that leverage our various data sets to automatically identify and recommend decarbonization solutions for our customers.

About You

• You have 1-3 years of experience in Machine Learning, Generative AI or are an upcoming new graduate with extensive relevant internships.
• You have strong experience in Python, SQL and are comfortable with modern ML frameworks like transformers, LangChain, or similar libraries.
• You are familiar with LLMs, prompt engineering, and have worked with LLM APIs or built RAG systems.
• You have shipped NLP/ML solutions to production and can demonstrate the impact of your work.
• You are able to own the entire lifecycle of a Machine Learning project. You don't need to be an expert on every aspect of it, but you must be a quick learner to pick things up and go deep when needed.
• You have an understanding of system design and can build scalable ML services.
• You like to think through product problems and enjoy working cross-functionally.
• You use solid engineering practices, write maintainable code, and care about code quality.
• You are proficient with AI-based coding tools and use them effectively in your workflow.
• You thrive in a fast-paced environment and can adapt quickly to changing priorities.
• You enjoy mentoring others where you can.

BONUS POINTS IF

• You have experience with LLM evaluation, guardrails, or agent frameworks.
• You have worked with vector databases and embedding systems.
• You have domain knowledge in sustainability, carbon accounting, or climate tech.
• You have a Master or PhD degree in Computer Science, Applied Computing, Computational Linguistics, Machine Learning or a related field.

What You’ll Gain

• Opportunity to shape product direction and team culture at a fast-growing climate tech startup backed by top-tier investors.
• Work directly with founders and senior leadership on products that have material impact on fighting climate change.
• Gain deep expertise in applying cutting-edge AI techniques to solve critical sustainability challenges.
• Experience building production AI systems at scale while contributing to the world's transition to a zero-carbon economy.

Machine Learning Engineer page is loadedMachine Learning Engineer Apply remote type Hybrid locations Singapore, Singapore time type Full time posted on Posted 8 Days Ago job requisition id JR

Viridien ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Job Summary

We’re seeking a versatile Machine Learning Engineer with strong data engineering instincts and a passion for production-grade AI systems. You'll play a pivotal role across the AI development lifecycle — from data ingestion to deployment — ensuring our models are reliable, reproducible, and impactful.

About the Team

You’ll be joining a dynamic, globally AI team driving the application of Large Language Models (LLMs) and agentic workflows into our digital solutions. Our mission is to translate the latest advancements in AI into real business impact.

Key Responsibilities

• LLM/NLP Model Development

  • Deploy and fine tune LLMs models for domain-specific tasks.

  • Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks.

• Data Infrastructure

  • Collaborate with Data Scientist to build and own data pipelines for ingestion, transformation, versioning, and labeling.

  • Ensure robust, reproducible data loops to power iterative development.

• AI Workflow Design & Orchestration

  • Orchestrate multiple models to deliver SOTA results.

  • Partner with Production team, Software Engineers to bring AI solutions into real-world products.

Qualifications:

Required:

• Degree, Master’s or Ph.D in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.

• Passion and aptitude for programming and technology

• Enthusiasm for analytical and problem-solving challenges

• Strong enterprise project experience with Machine Learning and AI

• Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python

• Good experience with Large Language Model technologies

• Experience within Data Engineering/Data Structuring

• Experience creating Machine Learning Algorithms and/or Libraries.

• Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)

• Ability to define and manage project deadlines and balance workloads across a wide variety of projects.

• Effective communication skills to keep all stakeholders regularly informed on progress.

• Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.

Benefits:

• 13-months Annual Base Salary and performance bonus

• Flexible Hybrid Work Model

• Comprehensive Personal and Family Healthcare

• Onsite Wellness & Recreation Corner

• Fun Employee Engagement & Sustainable Activities

• Family Leave for employees

#LI-JC

Our Hiring Process

At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.

Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.

We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Arrowpoint is an Asia-focused multi-strategy hedge fund firm headquartered in Singapore, founded by former Millennium Management Asia co-CEO Jonathan Xiong. The fund launched in July 2024 with $1 billion—making it one of the largest hedge fund launches in Asia’s history. Backed by prominent investors including Blackstone, the Canada Pension Plan Investment Board, and Temasek Holdings, we operate with portfolio managers across Singapore and Hong Kong, integrating diverse strategies such as Equities, Fixed Income, and Commodities.As we continue to grow, we are seeking driven individuals to join our team and contribute to our mission.

We are on the lookout for a Junior Machine Learning Engineer who will play a key role in enhancing our Machine Learning capabilities, focusing on innovative solutions for systematic strategies. This role is not just about technical expertise but also about aligning with our forward-thinking vision and being at the forefront of shaping our AI strategy.

Key Responsibilities

ML Engineering and Operations:

Develop, implement and optimize predictive models using machine learning and deep learning / AI techniques.

Deploy, maintain and monitor production models on AWS.

ETL & Data Management:

Design and develop efficient ETL pipelines to process and manage large volumes of financial data and alternative data.

Ensure data integrity and accuracy across various data sources.

Cloud Computing:

Utilize Cloud services to deploy and manage machine learning models in a scalable and reliable manner (Terraform, AWS ECS, Docker, CI/CD pipelines).

Optimize Cloud resources for performance and cost-effectiveness.

End-to-End Solution Development:

Engage in the complete lifecycle of model development, from data collection and preprocessing to model deployment and monitoring.

Explore and implement innovative techniques to solve complex financial problems.

Stay current with the latest advancements in machine learning and data science to continually improve and innovate.

Result-Oriented Approach:

Focus on delivering high-impact results.

Communicate findings and recommendations effectively to senior stakeholders.

Requirements & Qualifications:

Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, Mathematics, or a related field.

1-3 years of hands-on experience in data science and machine learning (exposure to financial markets in a professional context in a plus).

Proficiency in Python and relevant libraries (e.g., scikit-learn, Polars, PyTorch).

Experience with AWS services (e.g., S3, ECS, Lambda, Athena, CloudWatch, etc.).

Strong understanding of Data platform ETL processes and tools.

Excellent problem-solving skills and a creative mindset.

Strong communication and collaboration skills.

This website contains important legal and proprietary information concerning Arrowpoint Investment Partners (Singapore) Pte. Ltd. and its affiliates (“Arrowpoint”). The content of this website is intended for information purposes only and is not intended as advertising or promotional material in any respect. The information contained in this website is not and should not be regarded as an offer or solicitation of business, nor should it be construed as an offer, solicitation, invitation, or recommendation to buy or sell any securities, funds, or other investment products. Nothing in this website constitutes an offer or promise of employment with Arrowpoint with respect to any role described herein. Arrowpoint reserves the right, without notice, to remove, change or modify the terms of any role described herein. Any offer of employment with Arrowpoint shall be solely in accordance with the specific terms of such offer of employment. While Arrowpoint takes reasonable care to ensure that the information on this website is accurate and up to date, Arrowpoint assumes no obligation to update such information on a timely basis. Arrowpoint Investment Partners (Singapore) Pte. Ltd. is licenced by the Monetary Authority of Singapore to conduct the regulated activity of fund management. Arrowpoint Investment Partners (Hong Kong) Limited is licenced by the Securities and Futures Commission of Hong Kong to carry on the regulated activity of asset management.

That is a lot of computing power, so why do we need it?

We’re pushing the boundaries of AI by building cutting-edge machine learning models and tools from the ground up. To support this, we’ve invested heavily in high-performance computing, including the Ahrefs Superpod, which boasts 60 nodes from 63 and scored 19.7 PFlops in Linpack, ranking it among the top 30 supercomputers in the world. Simply put, we have the infrastructure to turn ambitious ideas into reality.

For over a decade, Ahrefs has been crawling the web, processing petabytes of data, and delivering powerful insights through an intuitive interface. Now, we’re leveraging this expertise to develop innovative AI-driven solutions that help users navigate, analyze, and extract value from vast amounts of information like never before.

Let’s put that compute power to use!

In this role you’ll have the opportunity to work on cutting-edge research and turn it into real-world impact. We're looking for a dynamic Machine Learning Engineer to join us in creating cutting-edge AI products that push the boundaries of what’s possible. Bring your creativity, develop your own ideas, and see them through, from fuzzy concepts to production, all in a fast-moving, red-tape-free environment.

• Work on LLMs and other AI models, spanning training, fine-tuning, inference optimization, and new architectures.
• Algorithm Research & Development
  • Design and implement algorithms for search, agents, knowledge retrieval, and generative AI applications.
• Stay on the Cutting Edge
  • Stay ahead of NLP and RL advancements, evaluate emerging models/frameworks (e.g., SSMs, text diffusion), and assess their impact on our products.
• Scaling & Optimization
  • Optimize model inference, reduce latency, and improve efficiency using techniques like distillation, quantization, and tensor parallelism.
• Collaborate with Engineering & Product Teams
  • Work closely with engineering and product teams to ship AI-driven features at scale.

• Experience with modern deep learning frameworks (e.g., PyTorch, JAX).
• Familiarity with transformer-based architectures and techniques (e.g. flash attention, speculative decoding, KV caching).
• Strong software engineering skills (Python, CUDA, or C++ a plus).
• Interest in one or more areas: large-scale training, agentic workflows, inference optimization, retrieval-augmented generation (RAG), reinforcement learning (RLHF/RL), or multimodal AI.
• Experience with distributed training and model deployment libraries (e.g. Megatron, Ray, Triton (both or either!), vLLM) is a bonus.

You’ll have opportunities to work on projects at the cutting edge of AI. You’ll get the chance to shape the future of our product and make a real impact.

If you're a Machine Learning Engineer with the drive to turn research into reality, we'd love to hear from you! Join us and be part of a team that's pushing the boundaries of technology and innovation.

Our data science team faces a big, exciting challenge: building machine learning models to improve the Fairsearch experience. What a user wants to see when they run a search, and what makes a piece of content better or more relevant than another – these are vital questions that inform how we rerank web pages. Sounds interesting? We'd love to hear from you.

Our motto is first do it, then do it right, then do it better.

Viridien ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Job Summary

We’re seeking a versatile Machine Learning Engineer with strong data engineering instincts and a passion for production-grade AI systems. You'll play a pivotal role across the AI development lifecycle — from data ingestion to deployment — ensuring our models are reliable, reproducible, and impactful.

About the Team

You’ll be joining a dynamic, globally AI team driving the application of Large Language Models (LLMs) and agentic workflows into our digital solutions. Our mission is to translate the latest advancements in AI into real business impact.

Key Responsibilities

• LLM/NLP Model Development

  • Deploy and fine tune LLMs models for domain-specific tasks.

  • Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks.

• Data Infrastructure

  • Collaborate with Data Scientist to build and own data pipelines for ingestion, transformation, versioning, and labeling.

  • Ensure robust, reproducible data loops to power iterative development.

• AI Workflow Design & Orchestration

  • Orchestrate multiple models to deliver SOTA results.

  • Partner with Production team, Software Engineers to bring AI solutions into real-world products.

Qualifications:

Required:

• Degree, Master’s or Ph.D in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.

• Passion and aptitude for programming and technology

• Enthusiasm for analytical and problem-solving challenges

• Strong enterprise project experience with Machine Learning and AI

• Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python

• Good experience with Large Language Model technologies

• Experience within Data Engineering/Data Structuring

• Experience creating Machine Learning Algorithms and/or Libraries.

• Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)

• Ability to define and manage project deadlines and balance workloads across a wide variety of projects.

• Effective communication skills to keep all stakeholders regularly informed on progress.

• Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.

Benefits:

• 13-months Annual Base Salary and performance bonus

• Flexible Hybrid Work Model

• Comprehensive Personal and Family Healthcare

• Onsite Wellness & Recreation Corner

• Fun Employee Engagement & Sustainable Activities

• Family Leave for employees

#LI-JC

Our Hiring Process

At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.

Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.

We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

About this role

We are on the lookout for a Junior Machine Learning Engineer who will play a key role in enhancing our Machine Learning capabilities, focusing on innovative solutions for systematic strategies. This role is not just about technical expertise but also about aligning with our forward-thinking vision and being at the forefront of shaping our AI strategy.

Key Responsibilities

ML Engineering and Operations:

• Develop, implement and optimize predictive models using machine learning and deep learning / AI techniques.
• Deploy, maintain and monitor production models on AWS

ETL & Data Management:

• Design and develop efficient ETL pipelines to process and manage large volumes of financial data and alternative data.
• Ensure data integrity and accuracy across various data sources.

Cloud Computing:

• Utilize Cloud services to deploy and manage machine learning models in a scalable and reliable manner (Terraform, AWS ECS, Docker, CI/CD pipelines).
• Optimize Cloud resources for performance and cost-effectiveness.

End-to-End Solution Development:

• Engage in the complete lifecycle of model development, from data collection and preprocessing to model deployment and monitoring.

Innovation & Creativity:

• Explore and implement innovative techniques to solve complex financial problems.
• Stay current with the latest advancements in machine learning and data science to continually improve and innovate.

Result-Oriented Approach:

• Focus on delivering high-impact results.
• Communicate findings and recommendations effectively to senior stakeholders.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, Mathematics, or a related field.
• 1-3 years of hands-on experience in data science and machine learning (exposure to financial markets in a professional context in a plus).
• Proficiency in Python and relevant libraries (e.g., scikit-learn, Polars, PyTorch).
• Experience with AWS services (e.g., S3, ECS, Lambda, Athena, CloudWatch, etc.).
• Strong understanding of Data platform ETL processes and tools.
• Excellent problem-solving skills and a creative mindset.
• Strong communication and collaboration skills.

Why should I Apply:

At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help organizations build responsible, secure, high-quality code quickly and systematically. We build solutions that don’t just solve symptoms of problems – we fix problems at the source – source code, to be specific.

We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. We believe team members should have the opportunity to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: provide solutions that deliver Clean Code.

We seek a Machine Learning Engineer who is passionate about exploring new dimensions in GenAI and developing the next-generation agentic framework for AI-powered developer assistants. As a Machine Learning engineer at Sonar, you will develop, implement, and optimize ML workflows to enhance our products and services. You will work closely with software engineers, researchers, and other stakeholders to deliver robust, scalable, and innovative solutions to advance the state-of-the-art agentic workflow for autonomous program improvement.

• Work with the core research team to advance the state of the art for AI-driven SE.
• Design, develop, and deploy models and algorithms to tackle various challenges in automating software engineering tasks.
• Analyze and preprocess large datasets to build scalable and efficient ML pipelines.
• Optimize and fine-tune LLMs to improve performance and accuracy.
• Conduct experiments and perform rigorous validation to evaluate model effectiveness.
• Implement and maintain scalable, robust, and efficient production-level code.
• Stay up-to-date with the latest advancements in machine learning technologies.
• Develop and maintain documentation for AI models and systems.
• Participate in code reviews and contribute to the development of best practices in machine learning engineering.
• Collaborate with development teams to ensure seamless model deployment and integration into production systems.

• Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related field.
• Proven experience as a Machine Learning Engineer or a similar role with a strong portfolio of projects, with at least two years of industry experience.
• Proficiency in programming languages such as Python, Java, or C/C++.
• Solid understanding of machine learning frameworks and libraries, such as TensorFlow, PyTorch, JAX, HuggingFace, scikit-learn, etc.
• Strong knowledge of algorithms, data structures, and software engineering principles.
• Familiarity with cloud platforms and services, such as AWS, Google Cloud Platform, or Azure is an advantage.
• Experience with deep learning models and natural language processing (NLP).
• Knowledge of MLOps practices and tools.
• Experience with data visualization tools and techniques.
• Familiarity with version control systems such as Git.
• Excellent debugging, optimization skills, communication and teamwork skills.

Why you will love it here:

Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice.

We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate!

We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday).

We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them.

We prioritize Diversity, Equity, and Inclusion:

At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures. We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.

Please note that applications submitted through agencies or third-party recruiters will not be considered.