450 AI & Emerging Technologies jobs in Singapore

Job Summary: The AI Engineer will be a key contributor to Heineken's Global GenAI Lab in Singapore, designing, developing, and implementing end-to-end AI solutions that deliver measurable business impact across the organization. This role combines deep technical expertise in generative AI with strong software engineering skills to build scalable, production-ready systems. You will work as part of a fast-moving technical team with start-up agility within enterprise scale, experimenting with cutting-edge AI technologies while solving real-world business challenges through innovative GenAI applications. The ideal candidate is a versatile engineer who can adapt quickly, think creatively, and become a domain expert while collaborating effectively in a fast-paced, high-impact environment.

AI Solution Development

• Design and develop GenAI models and applications from concept to production, including model selection, fine-tuning, and optimization for specific business use cases.
• Build end-to-end AI solutions that integrate seamlessly with existing enterprise systems and workflows.
• Implement sophisticated prompting strategies and language engineering techniques to maximize model performance and reliability.
• Create functional demonstration interfaces and prototypes using tools like Gradio, Streamlit, or custom web applications.

Software Engineering & API Development

• Build robust, scalable APIs and microservices that serve AI models in production environments.
• Develop containerized applications using Docker and orchestration platforms for reliable deployment.
• Create and maintain clean, well-documented code that follows best practices for enterprise software development.
• Implement proper error handling, logging, and monitoring for AI applications.
• Design and implement robust data pipelines for preparation, cleaning, and integration of diverse data sources.
• Handle enterprise data challenges including Excel files, PowerPoint presentations, and Office 365 integrations.
• Build ETL processes that ensure data quality and consistency for AI model training and inference.
• Implement data processing solutions that scale efficiently with growing data volumes.
• Develop data validation and monitoring systems to maintain pipeline reliability.
• Integrate AI solutions with existing business systems, databases, and enterprise applications.
• Navigate complex enterprise environments and work with legacy systems and data formats.
• Implement security best practices and ensure compliance with enterprise governance requirements.
• Manage model lifecycle including version control, A/B testing, and performance monitoring.
• Experiment with emerging GenAI technologies, frameworks, and methodologies
• Conduct applied research to solve novel business problems using state-of-the-art AI techniques.
• Evaluate and benchmark different AI models and approaches for specific use cases.
• Contribute to the lab's knowledge base and share learnings across the team

Key Requirements

Education: Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related technical field preferred. Strong consideration given to candidates with equivalent practical experience, professional certifications (including AI Singapore certifications), or demonstrated expertise through portfolio work and contributions to AI projects.

Experience:

• 5+ years of software engineering experience with strong proficiency in Python and modern development practices.
• Minimum 2 years of hands-on experience with LLMs, RAG systems, and generative AI applications.
• Proven track record of building and deploying production AI/ML systems in enterprise environments.
• Experience with API development, microservices architecture, and cloud platforms.
• Background in data engineering, ETL processes, and working with enterprise data systems.

Technical Skills - Must have expertise in at least 5 of the following areas:

• GenAI Frameworks : OpenAI API, Anthropic Claude, Google Gemini, Hugging Face transformers, LangChain, LlamaIndex.
• Language Engineering : Advanced prompting techniques, chain-of-thought reasoning, RAG implementation, fine-tuning strategies.
• Software Development : Python, FastAPI/Flask, RESTful APIs, microservices architecture, containerization (Docker).
• MLOps : Model versioning, CI/CD for ML, monitoring and observability, A/B testing frameworks.
• NLP Fundamentals : Text processing, embedding models, semantic search, document parsing and analysis.
• Cloud Platforms : Azure, AWS, or GCP with experience in managed AI services
• Development Tools : Git, JIRA, agile methodologies, code review processes.
• Data Formats : JSON, XML, Excel processing, document parsing, unstructured data handling.

Soft Skills

• Strong problem-solving abilities with creative approach to technical challenges.
• Excellent collaboration skills and ability to work effectively in cross-functional teams.
• Adaptability and eagerness to learn new technologies and methodologies quickly.
• Self-motivated with ability to work independently while contributing to team objectives.
• Strong communication skills to explain complex technical concepts to non-technical stakeholders.
• Passion for becoming a subject matter expert while maintaining broad technical versatility.
• Entrepreneurial mindset with willingness to experiment and take calculated risks.

• Mid-Senior level

• Full-time

• Information Technology, Consulting, and Project Management
• Industries: Food and Beverage Manufacturing and Manufacturing

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Software Engineering Manager, Applied AI Job Description

We are seeking a software engineering manager to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models. We are looking for a manager with a strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production. The ideal candidate will be motivated by the opportunity to drive product & business impact, and develop strong relationships with research teams.

This role requires a strong software engineering foundation, a passion for building and iterating on software products, and proven leadership skills. We are looking for a manager who thrives in fast-paced environments, and has the proven ability to deliver high-quality code & guide a team to success. Experience in end-to-end development is essential, as is the ability to mentor and develop junior engineers. We particularly value experience in early-stage or startup environments, where managers take ownership and drive product development from the ground up.

• Lead a team in the design and development of scalable software applications leveraging generative AI models.
• Guide the team in rapidly developing new features and iterating based on evaluation results.
• Collaborate with researchers and product managers to translate research advancements into tangible product features.
• Oversee the optimization of software performance and ensure the reliability of deployed applications.
• Champion the development of best practices for building and deploying generative AI applications.
• Lead the architecture and development of new products & features from 0 to 1.
• Mentor and develop team members, fostering a collaborative and high-performing environment.
• Partner with PM team to qualify & size new project opportunities.
• A bachelor degree in computer science, electrical engineering or equivalent experience.
• 5 years of experience in minimum of one ML field (eg. media generation, reinforcement learning, infrastructure etc.)
• 7+ years of experience leading technical projects and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning), including at least 5 years of experience in a people leadership role overseeing and guiding technical teams.

• Experience with generative AI models and applications.
• Contributions to open-source projects.
• Experience with front-end development.
• Proven experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.
• Experience evaluating model performance, analyzing results, and implementing improvements.
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

Overview

Senior Full-stack Developer (AI and Innovation) at Crypto.com. You will design, develop, maintain, and improve software for various ventures projects adjacent to our core businesses, bootstrapped fast with a lean team, from frontend UI to backend infrastructure.

• Development activities include full stack development, proposing architectural decisions, participating in designs, design review, code review and implementation of products bridging Crypto.com to developers and end-users.
• Develop prototypes for new ideas proposed by you and the team.
• You are the owner of your projects. We are open-minded to new technologies and you can try-out different things here.
• Identify issues and implement solutions to complex problems in large-scale backend infrastructure and mobile platforms.
• Management of documentation of all code and functionalities implemented.
• Work closely with DevOps and mobile engineers to improve tech stack for long-term engineering initiatives.

• 3+ years of experience in full stack software development.
• Interested in building first-class product to solve real world problems. Experienced with various technologies, self-motivated, a fast learner and have a “get things done” mentality.
• Humble to embrace better ideas from others, eager to make things better, open to challenges and possibilities.
• Strong organizational skills, interpersonal skills and the ability to juggle conflicting requirements from many different stakeholders.
• Understanding of Blockchain technology would be an advantage.
• Proficiency in handling scalability, security and performance.
• Experience with mobile development (iOS/Android) is an advantage (e.g. Swift, Java, Kotlin).
• Knowledge of front-end frameworks and technologies (e.g. React.js, Vue.js, Mobx, Redux).
• Knowledge of server-side programming languages (e.g. Golang, Node.js, Python, Ruby, Java).

Crypto.com is an equal opportunities employer. Personal data provided by applicants will be used for recruitment purposes only. Shortlisted candidates will be contacted.

Our benefits packages vary depending on region requirements. Learn more from our talent acquisition team. Competitive salary and flexible work arrangements (hybrid or remote) are offered where applicable.

About Agoda

Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting‑edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership,enhancing the ability for our customers to experience the world.

Our Purpose - Bridging the World Through Travel

We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.

Get to Know Our TeamThe Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

The Opportunity

We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.

As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.

• Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
• Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
• Work with developers and a variety of business owners to deliver daily results with the best quality.
• Research discover and harness new ideas that can make a difference

• 4+ years hands-on data science experience.
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
• Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
• Can lead, work independently as well as play a key role in a team.
• Good communication and interpersonal skills for working in a multicultural work environment.

• PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
• Experience in NLP, image processing and/or recommendation systems
• Hands on experience in data engineering, working with big data framework like Spark/Hadoop
• Experience in data science for e-commerce and/or OTA

#singapore

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

Wewill keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.

We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Join us as we work together to inspire creativity and enrich life around the globe.

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Team Introduction:Data AML is ByteDance's machine learning middle platform, providing training and inference systems for recommendation, advertising, CV (computer vision), speech, and NLP (natural language processing) across businesses such as Douyin, Toutiao, and Xigua Video.AML provides powerful machine learning computing capabilities to internal business units and conducts research on general and innovative algorithms to solve key business challenges. Additionally, through Volcano Engine, it delivers core machine learning and recommendation system capabilities to external enterprise clients.Beyond business applications, AML is also engaged in cutting-edge research in areas such as AI for Science and scientific computing.

Research Project Introduction:Large-scale recommendation systems are being increasingly applied to short video, text community, image and other products, and the role of modal information in recommendation systems has become more prominent. ByteDance's practice has found that modal information can serve as a generalization feature to support business scenarios such as recommendation, and the research on end-to-end ultra-large-scale multimodal recommendation systems has enormous potential. It is expected to further explore directions such as multimodal cotraining, 7B/13B large-scale parameter models, and longer sequence end-to-end based on algorithm-engineering CoDesign.Engineering research directions include:Representation of multimodal samplesConstruction of high-performance multimodal inference engines based on the PyTorch frameworkDevelopment of high-performance multimodal training frameworksApplication of heterogeneous hardware in multimodal recommendation systemsAlgorithmic research directions include:1. Design of reasonable recommendation-advertising and multimodal cotraining architectures2. Sparse Mixture of Experts (Sparse MOE)3. Memory Network4. Hybrid precision techniques

1. Got doctor degree, with priority given to candidates majoring in Computer Science, Software Engineering, or related fields;
2. Proficiency in 1 or more programming languages such as C/C++/Go/Python/Java in a Linux environment;
3. Deep understanding of distributed system principles, with experience in designing, developing, and maintaining large-scale distributed systems;
4. Possess excellent logical analysis skills, able to abstract and decompose complex business logic effectively, with a collaborative team spirit;
5. Strong sense of responsibility, with good learning ability, communication skills, and self-motivation;
6. Good habits in technical documentation, including timely writing and updating of work processes and technical docs as required.
7. Bonus Qualifications:

1. Familiarity with Kubernetes architecture and extensive experience in cloud-native system development;2. Experience with at least one mainstream machine learning framework (e.g., TensorFlow, PyTorch, MXNet);3. Familiarity with Django, Flask, or related technologies, with backend development experience;4. Experience in one or more of the following areas:- AI Infrastructure- HW/SW Co-Design- High-Performance Computing- ML Hardware Architecture (GPU, accelerators, networking)- Machine Learning Frameworks- ML for Systems- Distributed Storage5. Experience in large-scale cloud computing platforms or private cloud product architecture development.

About Us

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. We work in a startup atmosphere where individuals take ownership and have significant impact on the final product.We are a dynamic team within Apple’s Worldwide Sales organization, Data Solutions & Initiatives—focused on driving innovation through product design, engineering, and portfolio management. In our startup-like environment, we move quickly, experiment boldly, and expect our team to take full ownership of what they deliver. We’re looking for a hands-on Software Engineer to build and operate the data infrastructure that powers analytics, automation, and AI across our business. You’ll work on distributed data systems, cloud-native services, and internal tooling that makes data discoverable, trustworthy, and ready for intelligent applications.This role is part of our Singapore engineering hub and works closely with our US-based team to deliver reliable, scalable data solutions that fuel decision-making, modeling, and business operations.

You’ll design and build core components of our internal data platform, spanning ingestion pipelines, semantic layers, and metadata systems. You’ll help bridge open source technologies (e.g., Kafka, Spark, Iceberg) with our internal ecosystem—shaping how teams discover, use, and trust data for analytics and AI workloads.You’ll collaborate with other engineers, product managers, program managers, and end users to understand data needs and evolve platform capabilities that improve scale, quality, and usability. This is a hands-on engineering role focused on systems thinking, technical craftsmanship, and delivering tools that unlock real business value.Key Responsibilities- Build scalable, cloud-native data systems that support data exploration, reporting, and production ML/AI use cases- Integrate open-source components with internal tools and APIs to streamline platform usability- Develop and maintain data ingestion pipelines, metadata services, and performance-optimized storage layers- Ensure the platform supports AI-readiness, including high-quality, discoverable, and semantically rich data- Collaborate with internal customers to understand workflows and shape new platform features- Partner with engineers, EPMs, and US-based teams to ensure alignment, reusability, and shared standards- Support production systems through monitoring, debugging, and operational improvements

• 4+ years of experience building distributed data applications or cloud-native platforms
• Proficiency in Python, Scala, or Java, with experience developing scalable and maintainable systems
• Strong SQL skills and experience with cloud data warehouses (e.g., Snowflake, BigQuery)
• Experience with modern data infrastructure tools (e.g., Spark, Kafka, Airflow, Iceberg)
• Understanding of BI and analytics needs, and experience building for internal business use cases

• Experience designing and building cloud-based applications, APIs, and data services
• Familiarity with AI/ML pipeline enablement (e.g., feature engineering, real-time pipelines, metadata)
• Experience with Kubernetes, distributed compute frameworks, or containerized environments
• Hands-on experience integrating with business intelligence or visualization tools (e.g., Streamlit, Tableau, Looker)
• Exposure to anomaly detection, forecasting, or GenAI use cases and the data requirements they demand
• Experience working in global teams or serving as a technical contributor in a regional hub

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals.

As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company.

• You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals.
• You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation.
• You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency.
• You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects.
• You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
• As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement.
• You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions.
• You will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation.
• You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing.
• You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization.

• You have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs.
• You can design and execute cross-functional requirements based on business priorities.
• You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python or Shell.
• You have experience with distributed systems and scalable architectures to handle large-scale ML applications.
• You have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
• You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML.
• You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles.
• You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
• You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services.

• You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
• You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
• You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
• You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
• You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
• You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
• Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world. Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.

• Director

• Full-time

• Engineering and Information Technology

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.

Let the hiring team at Unravel Carbon contact you! Click I’m interested and enter your Linkedin profile and preferred contact information.

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