Browse Data and AI jobs in Singapore, then compare roles, skills, and adjacent GenAI career paths.

Jumptrading

<p>Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.</p>
<p>Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.</p>
<p>-------------------------------<br />*Candidates should be interested in working in Singapore for their full-time job after graduation.</p>
<p>*Timing of application consideration and interviews will vary to accommodate university timelines.<br />-------------------------------</p>
<p><strong>About the Role:</strong></p>
<p>The quant trading internship is an intensive 10-week program focused on enhancing your trading aptitude and understanding of financial markets, as well as helping you experience what it’s like to be a full-time quant trader at Jump.</p>
<p>At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant trader, quant researcher, and quant developer. During our internship you will get training in all of these areas, with a focus in trading and financial markets. Topics include trading strategies and intuition, market mechanics, statistics, and our research process for signal generation.</p>
<p>You will have the opportunity to work with our trading teams on meaningful projects with real impact while receiving daily 1:1 mentorship from experienced quant traders, researchers, and developers. You will also participate in mock trading sessions, poker training, and other modules designed to improve probabilistic thinking, risk-taking, and trader mindset.</p>
<p>Other duties as assigned or needed.</p>
<p><strong>Who Should Apply?</strong></p>
<p>We are seeking the sharpest analytical minds from top undergraduate and graduate programs. </p>
<p>Ideal candidates will have:</p>
<ul>
<li>Outstanding skills in probabilistic thinking and mathematical reasoning</li>
<li>Competitive spirit and uncommon drive to learn and improve</li>
<li>Programming experience</li>
<li>Appetite for risk-taking</li>
<li>Demonstrated interest in financial markets</li>
</ul>
<p>Reliable and predictable availability required.</p>
<p> </p>
<p> </p>
<p> </p>

Campus Quantitative Trader (Intern)

<p>Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.</p>
<p>Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.</p>
<p><strong>What You'll Do:</strong></p>
<p>Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas. Includes other duties as assigned or needed.</p>
<p><strong>Skills You'll Need:</strong></p>
<ul>
<li>Creative thinkers who are driven, self-motivated, and eager to solve challenging problems</li>
<li>Proven success with profitable trading strategies</li>
<li>Strong programming skills in C++ in a Linux environment</li>
<li>Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines</li>
<li>Strong experience developing statistical models in a trading environment</li>
<li>Proven success working with large data sets and developing statistical models</li>
<li>Fascinated and interested in advancing machine learning within the trading community</li>
<li>Possess strong familiarity with Python, R or Matlab along with development skills to support research efforts</li>
<li>Masters or PhD in Statistics, Physics, Mathematics (or related subject)</li>
<li>Desire to work within a collaborative, team-driven environment</li>
<li>Excellent written and spoken English communication skills</li>
<li>Reliable and predicable availability </li>
</ul>
<p><strong>If you are currently a student or recent graduate, please see our Campus postings which offer both intern and full-time opportunities.</strong></p>
<p> </p>

Quantitative Researcher | Trading Team

<p>Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.</p>
<p>The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis, machine learning and deep learning skills, using the results of their research to make forecasts and develop profitable predictive trading models.</p>
<p><strong>What You’ll Do: </strong></p>
<p>We are seeking research scientists with a demonstrated ability to apply deep learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition.</p>
<p><strong>Skills You’ll Need:</strong></p>
<ul>
<li>At least 5+ years of experience in developing DL systems with measurable impact in industry and/or academia.</li>
<li>Creative thinkers who are driven, self-motivated, and eager to solve challenging problems.</li>
<li>Proficiency in Python and/or C++.</li>
<li>Strong foundation in mathematics and statistics.</li>
<li>Ability to thrive in a collaborative, team-oriented environment.</li>
<li>PhD, or Master's degree in Computer Science, Mathematics, (or related subject).</li>
<li>Strong publications record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent.</li>
<li>Reliable and predictable availability.</li>
<li>Excellent written and verbal communication skills in English.</li>
</ul>
<p> </p>

Deep Learning Researcher | Trading Team

<p><span>Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.</span></p>
<p>Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.</p>
<p>-------------------------------<br />*Candidates should be interested in working in Asia for their full-time job after graduation.</p>
<p>*INTERNATIONAL STUDENTS are encouraged to apply. <br />-------------------------------</p>
<p>Who Should Apply?</p>
<ul>
<li>We are seeking researchers with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. </li>
<li>The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. </li>
<li>Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition.</li>
<li>No prior knowledge of finance or trading is necessary. We’ll give you the training that you’ll need.</li>
<li>Other duties as assigned or needed.</li>
</ul>
<p>Skills You'll Need: </p>
<ul>
<li>Creative thinkers who are driven, self-motivated, and eager to solve challenging problems with a pragmatic outlook</li>
<li>Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research</li>
<li>Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX</li>
<li>Proficiency in Python and/or C++</li>
<li>Ability to thrive in a collaborative, team-oriented environment</li>
<li>Ability to reason through quantitative problems and communicate effectively with trading researchers</li>
<li>Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)</li>
<li>Reliable and predictable availability required</li>
</ul>
<p>If you have outstanding skills in math, ML, and programming, and you are curious about the challenge of improving research with daily feedback from competitive markets, we hope you’ll apply. </p>

Campus AI/ML Researcher (Fall 2026) 

<p><span>Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.<br /><br /></span>Our AI team is an R&amp;D group of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. Our mission is to combine emerging techniques and original research to generate signals from unstructured data and to put frontier AI capabilities into the hands of the people doing the most demanding quantitative work in the world. Our remit is broad and growing, spanning model research, agentic systems, and the platforms that bring them into daily use, and we want our researchers and traders to experience these capabilities as a seamless and dependable extension of how they already work.</p>
<p><strong>What You’ll Do: </strong></p>
<p>We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of leading an open-ended research project from concept to production: finding compelling problems well suited to current and projected LLM capabilities, collaborating extensively with trading teams to understand requirements and constraints, and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research process with the potential for firmwide application. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, and market intuition, and welcome all candidates who can demonstrate brilliance in one area, competence in a second, and enthusiasm for the third.</p>
<p><span>Other duties as assigned or needed.</span></p>
<p><strong>Skills You’ll Need:</strong></p>
<ul>
<li>5+ year track record of creating ML systems with real metrics &amp; impact in industry and/or academia</li>
<li>Strong general ML background with some exposure to language modeling architectures (e.g. transformers, SSMs)</li>
<li>Solid development skills in Python and/or C++</li>
<li>Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX</li>
<li>Intellectual curiosity, versatility, and originality combined with a pragmatic outlook</li>
<li>Ability to reason through quantitative problems and communicate effectively with trading researchers</li>
<li>PhD, or Master's degree in Computer Science, Mathematics, (or related subject)</li>
<li>Strong publications record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent</li>
<li>Reliable and predictable availability</li>
</ul>
<p><strong>Bonus Points</strong></p>
<ul>
<li>Experience with HPC and distributed large model training</li>
<li>Experience with GPU performance optimization (CUDA or ROCm)</li>
<li>Experience with end-to-end model development, especially in LLMs</li>
<li>Prior academic publications and/or contributions to open-source AI research</li>
<li>Strong opinions on best practices in ML research, tooling, and/or infrastructure</li>
</ul>
<p> </p><div><div><div><p><strong><span>Benefits</span></strong></p>
<ul>
<li><span>Discretionary bonus eligibility </span></li>
<li><span>Medical, dental, and vision insurance</span></li>
<li><span>HSA, FSA, and Dependent Care options</span></li>
<li><span>Employer Paid Group Term Life and AD&amp;D Insurance</span></li>
<li><span>Voluntary Life &amp; AD&amp;D insurance</span></li>
<li><span>Paid vacation plus paid holidays</span></li>
<li><span>Retirement plan with employer match</span></li>
<li><span>Paid parental leave</span></li>
<li><span><span><span>Wellness Programs</span><br /><br /></span></span></li>
</ul></div><div>Annual Base Salary Range </div><div><span>$200,000</span><span>—</span><span>$300,000 USD</span></div></div></div>

AI Research Scientist | Research & Development

Stripe

<div>
<h2>Who we are</h2>
<h3>About Stripe</h3>
<p><span>Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.</span></p>
<h3>About the team</h3>
<p>Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.</p>
<h2>What you’ll do</h2>
<p>We’re looking for a Data Scientist to partner with our Global Growth teams. You’ll play a key role in designing and shipping experiments, as well as identifying improvement opportunities across stripe.com and the dashboard to help businesses worldwide get started on Stripe. You’ll help us understand, grow, and optimize the self-serve user funnel to ensure a consistently high-quality onboarding experience for users globally. As Data Scientists at Stripe, our mission is to ensure that company strategy, products, and user interactions make smart use of our rich data using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.</p>
<h3><strong>Who you are</strong></h3>
<p><span>We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.</span></p>
<h3>Minimum requirements</h3>
<ul>
<li>Bachelors + 8 years or Masters + 6 years or Phd + 3 years of data science or quantitative modeling experience</li>
<li>Proficiency in SQL and a computing language such as Python or R</li>
<li>Experience in working with cross-functional teams to deliver results</li>
<li>Ability to communicate results clearly and a focus on driving impact</li>
<li>A demonstrated ability to manage and deliver on multiple projects with a high attention to detail</li>
<li>Strong business acumen and experience in synthesizing complex analyses into actionable recommendations</li>
<li>Proficiency with AI tools to accelerate model development, analysis, and coding</li>
</ul>
<h3><strong>Preferred qualifications</strong></h3>
<ul>
<li>Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and experimentation</li>
<li>Experience deploying models in production and adjusting model thresholds to improve performance</li>
<li>Experience designing, running, and analyzing complex experiments or leveraging causal inference designs</li>
<li>A builder's mindset with a willingness to question assumptions and conventional wisdom</li>
<li>Experience with distributed tools such as Spark, Hadoop, etc.</li>
<li>A PhD or MSc in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)</li>
</ul>
</div>

Data Scientist, Global Growth

Databricks

<p><span>SLSQ327R184</span></p>
<h2><span><strong>Product Manager, AI Ops </strong></span></h2>
<p><span>We are reimagining GTM at Databricks and are seeking a hands-on, technical Product Manager to own AI-powered GTM agents end-to-end - building and prototyping agents directly on Databricks. You'll sit on the AI Ops team, between senior GTM leadership, Sales Ops, and the field - translating field reality into a product roadmap that improves how Databricks sells at every stage of the motion.</span></p>
<p><span>This is a hands-on IC engineering role for someone who understands how AEs, BDRs, and CSMs actually operate and wants to build the agents that reimagine GTM processes in the age of AI.</span></p>
<p><span><strong>Key Responsibilities</strong></span></p>
<ul>
<li><span><strong>Build agents on Databricks (the core of the role):</strong> Design, prototype, and ship GTM agents yourself on the Databricks platform. Write the workflow logic and tools, stand up and iterate on agents in notebooks and SQL, and debug and validate behavior with your own queries. This is hands-on building, not spec-and-handoff.</span></li>
<li><span><strong>Agent behavior and quality:</strong> Define and implement how agents behave: decision logic, escalation paths, governance guardrails, and edge-case handling. Build evaluation in from the start: run experiments and A/B tests, measure quality, and tune prompts and workflows based on what the results show. </span></li>
<li><span><strong>Own your agent surface end-to-end:</strong> Set the 2-quarter roadmap for your agent area, make the prioritization calls, and write the lightweight specs (PRDs / Business Intent Docs) that frame what you build. Advocate for regional and segment specific needs as team roadmaps come together.</span></li>
<li><span><strong>Voice of the field:</strong> Run structured feedback loops with end users (often AEs and front-line managers) and convert what you hear directly into agent improvements you build and ship yourself rather than handing off a backlog.</span></li>
</ul>
<p><span><strong>What We Look For: </strong>The two things that matter most: you can build on Databricks yourself, and you have a strong gut for product development, UI, and the seller experience. </span></p>
<ul>
<li><span><strong>Hands-on technical builder for the AI-stack: </strong>You build on Databricks. You're comfortable in notebooks and SQL, can stand up and iterate on agents and workflows on the platform yourself, read and debug an AI workflow, and write a query to validate behavior. This is a build role, not a spec-and-handoff role.</span></li>
<li><span><strong>Strong understanding of the seller experience:</strong> You have a sharp gut for product development and UI, and you can tell when an agent helps a seller vs. gets in the way and creates more overhead. You can sit with an AE for an hour and walk away with a prioritized list of where to build, and you can feel out the difference between a personal preference and a best practice worth replicating.</span></li>
<li><span><strong>Pattern recognition &amp; judgement: </strong>You take field feedback seriously even when the data disagrees, and you know the difference between a one-off complaint and a signal worth a roadmap slot.</span></li>
<li><span><strong>Bias to ship</strong>: The roadmap moves fast and you'll own rollout gates, balancing speed against quality.</span></li>
<li><span><strong>Experience:</strong> 5+ years in product management, GTM strategy, sales ops, or a field-adjacent role such as Solutions Architect, with at least 3 years owning a product or program end-to-end. A strong, firsthand understanding of the AE workflow and how reps actually sell matters more than the title on your resume. Hands-on experience building on Databricks (SQL, notebooks, and agent or workflow tooling) or similar technology stacks is a strong plus.</span></li>
</ul>
<p><span><strong>Why This Role</strong></span></p>
<p><span>This is one of the top FY27 GTM bets at Databricks and the MVP is in production globally with 1,200+ sellers. You will have an outsized impact on how Databricks sells in FY27. If you want to build and innovate at the bleeding edge of what's possible with AI and system automation, and do it inside a mature, high-velocity business with real stakes, this is the role for you.</span></p><div><div><div><p> </p>
<p><strong>Pay Range Transparency</strong></p>
<p><span>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf" rel="noopener noreferrer ugc" target="_blank">here</a>.<br /></span></p>
<p> </p></div><div>Zone 1 Pay Range</div><div><span>$125,000</span><span>—</span><span>$171,950 USD</span></div></div><div><div>Zone 2 Pay Range</div><div><span>$112,600</span><span>—</span><span>$154,750 USD</span></div></div><div><div>Zone 3 Pay Range</div><div><span>$106,300</span><span>—</span><span>$146,200 USD</span></div></div><div><div>Zone 4 Pay Range</div><div><span>$100,000</span><span>—</span><span>$137,500 USD</span></div></div></div><div><p><strong>About Databricks</strong></p>
<p><span>Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a>, <a href="https://x.com/databricks" rel="noopener noreferrer ugc" target="_blank">X</a>, <a href="https://www.youtube.com/@Databricks" rel="noopener noreferrer ugc" target="_blank">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en" rel="noopener noreferrer ugc" target="_blank">Instagram</a>.<br /><br /><strong>Benefits<br /><br /></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing" rel="noopener noreferrer ugc" target="_blank">here</a>.<br /><br /></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><strong>Compliance</strong></p>
<p><strong><span>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p>
<p><a href="https://www.databricks.com/legal/applicant-privacy-notice" target="_blank" rel="noopener noreferrer ugc"><strong><span>Applicant Privacy Notice</span></strong></a></p></div>

Outbound Product Manager, AI Operations

Sonarsource

<div>
<h3><strong>Who is Sonar?</strong></h3>
<p>Sonar is driving the future of agent-centric software development. As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.</p>
<p>Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code.</p>
<p>We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow,<a href="http://booking.com" rel="noopener noreferrer ugc" target="_blank"> </a>Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like:</p>
<ul>
<li>SonarQube: The world’s leading AI code review and verification platform.</li>
<li>SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.</li>
<li>SonarSweep &amp; Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective.</li>
</ul>
<p>Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:</p>
<ul>
<li>Committed to our customers and community.</li>
<li>Obsessed with quality.</li>
<li>Deliberate in our decisions.</li>
<li>Effective as one team.</li>
</ul>
<div>
<p>With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you.</p>
</div>
</div><div><br /></div><h3><strong>Position description</strong></h3>
<div> </div>
<div>At Sonar, we are seeking an innovative Machine Learning Scientist to join our Data &amp; AI team and pioneer the next generation of our code analysis engine. You will be at the forefront of applying cutting-edge AI and Large Language Model (LLM) techniques to the complex domain of source code. Your work will directly shape our products, pushing the boundaries of static analysis to help millions of developers write better, more secure code. If you are driven to solve real-world problems by turning state-of-the-art research into practical, high-impact solutions, this is the role for you.</div>
<div> </div>
<h2>What you will do</h2><ul><li>Spearhead Research &amp; Innovation: Stay on the cutting edge of ML, Deep Learning, and LLMs, specifically their application to the Software Development Lifecycle (SDLC), and identify novel opportunities to enhance our products.</li>
<li>Develop Advanced AI Models: Design, prototype, and validate novel ML models that identify and resolve complex bugs, vulnerabilities, and code smells, going beyond the capabilities of traditional static analysis.</li>
<li>Build LLM-Powered Features: Develop and implement advanced LLM-based solutions, including Retrieval-Augmented Generation (RAG) for contextual code analysis, fine-tuning models on proprietary codebases, and exploring agentic systems for automated code remediation.</li>
<li>Engineer Data Pipelines: Build and manage robust data pipelines to gather, process, and version massive code-centric datasets required for training and evaluating specialized models at scale.</li>
<li>Translate Prototypes to Products: Collaborate closely with engineering and product teams to integrate successful ML prototypes into Sonar's cutting-edge products, ensuring they meet the needs of our global user base.</li>
<li>Communicate and Evangelize: Clearly articulate and document complex technical concepts and research findings to both technical and non-technical stakeholders.</li></ul>
<h2>Experience and qualifications</h2><ul><li>An advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a related quantitative field.</li>
<li>Strong industry experience in machine learning, with a solid understanding of modern software engineering practices and tools.</li>
<li>Solid programming skills in Python and hands-on experience with core ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Familiarity with Java is a plus.</li>
<li>Proven experience in applied Machine Learning, with a strong focus on Natural Language Processing (NLP) or, ideally, Programming Language Processing (PLP).</li>
<li>Hands-on experience with modern LLM architectures and techniques, such as Fine-tuning strategies (e.g., LoRA, QLoRA), advanced prompt engineering, building and optimizing Retrieval-Augmented Generation (RAG) pipelines and working with vector databases and semantic search</li>
<li>Experience with large-scale data processing frameworks and cloud infrastructure (e.g. AWS).</li>
<li>Experience of driving research projects from initial ideation to a demonstrable prototype with a high degree of autonomy.</li>
<li>Excellent communication skills in English and a talent for explaining complex scientific topics clearly and concisely.</li></ul>

AI Research Scientist/Engineer

<div>
<h3><strong>Who is Sonar?</strong></h3>
<p>Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.</p>
<p>Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code.</p>
<p>We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like:</p>
<ul>
<li>
<p>SonarQube: The world’s leading AI code review and verification platform.</p>
</li>
<li>
<p>SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.</p>
</li>
<li>
<p>SonarSweep &amp; Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective.</p>
</li>
</ul>
<p>Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:</p>
<ul>
<li>
<p>Committed to our customers and community.</p>
</li>
<li>
<p>Obsessed with quality.</p>
</li>
<li>
<p>Deliberate in our decisions.</p>
</li>
<li>
<p>Effective as one team.</p>
</li>
</ul>
<p>With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you.</p>
</div><div><br /></div><h3><strong>Position description</strong></h3>
<p>We are seeking an experienced Engineering Director to lead our Engineering Team in Singapore and drive the development of our products. As the Engineering Director, you will be responsible for the technical direction, architecture, and delivery of our solutions. You will lead a team of talented software engineers and work closely with product management to ensure the success of our products.</p>
<p> </p>
<p>As part of the role, you will participate in an on-call rotation to provide timely support and address any critical system issues that may arise outside of regular working hours.</p>
<h2>What you will do</h2><div>

<li>
<p>Lead a group of engineering managers and their squads to deliver high-quality software products.</p>
</li>
<li>
<p>Provide technical leadership and guidance to the engineering teams, ensuring that the teams are aligned with the company's technical vision and strategy.</p>
</li>
<li>
<p>Define and drive the technical direction, architecture, and roadmap of our products.</p>
</li>
<li>
<p>Collaborate with product management to ensure that our products meet customer needs and business objectives.</p>
</li>
<li>
<p>Work closely with quality assurance to ensure that our products meet high standards of quality and reliability.</p>
</li>
<li>
<p>Ensure that the engineering team is using best practices in software development, including agile development methodologies, continuous integration and delivery, and automated testing.</p>
</li>
<li>
<p>Hire and develop top engineering talent, and engineering managers and foster a culture of innovation, collaboration, and excellence.</p>
</li>
<li>
<p>Help to grow individual engineering managers to lead their teams.</p>
</li>

</div>
<h2>Experience and qualifications</h2><ul><li>
<p>Master's degree in Computer Science or a related field.</p>
</li>
<li>
<p>10+ years of experience in software development, with at least 5 years in a leadership role.</p>
</li>
<li>
<p>Strong experience in leading software development teams, with a track record of delivering high-quality software products.</p>
</li>
<li>
<p>Strong technical background in software development, with experience in Java, JavaScript, or other programming languages.</p>
</li>
<li>
<p>Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.</p>
</li>
<li>
<p>Strong leadership and management skills, with the ability to motivate and inspire a team of engineers.</p>
</li>
<li>
<p>Experience with agile development methodologies, continuous integration and delivery, and automated testing.</p>
</li></ul>

Engineering Director - Data & Agentic

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