Machine learning, software engineering, data science, and computational biology roles

Mercuria is a major player in the Physical and Financial Global Commodity markets, with major trading centres in London, Geneva, Houston, Singapore, Shanghai and Beijing. We actively trade in all the major commodity asset classes, from crude and refined oil products, to power & gas, as well as freight, metals, and carbon credits.

We operate a global diversified technology team across key hubs such as Geneva, London, Houston and Singapore, while operating in close partnership with some strategic co-development centres in Bucharest, Bangalore and Hyderabad. All running an Agile delivery model in unison with our business partners to deliver multi-asset-class commodity systems, with a focus on automation, user experience, innovation and control.

The Roles

Are you passionate about cutting-edge technology, solving complex challenges, and making a real-world impact? If so, we are hiring for multiple different roles across Houston, Geneva, and Auckland in the fields of machine learning, software engineering, data science, and computational biology.

Whether you’re an experienced professional or an aspiring researcher, we have several exciting opportunities for you to grow and contribute to transformative projects. This is a great opportunity to join one of the largest integrated energy and commodity trading companies in the world.

• Work on high-impact projects at the intersection of AI, sustainability, and trading. 
• Collaborate with a global team of experts from diverse fields. 
• Access state-of-the-art tools and infrastructure, including GPU clusters. 
• Be part of a forward-thinking organization driving innovation in energy, commodities, and environmental sustainability. 

Please complete this form to apply for any of the several AI and Machine Learning roles we are recruiting for. IMPORTANT: If you are interested in applying for more than 1 role, please indicate this using the check boxes at the top of the form. There is no need to submit multiple applications.

Role #1

Machine Learning & Software Engineering (Houston, TX, USA)

We are seeking talented Machine Learning Engineers and Software Engineers with expertise in statistical machine learning, deep learning, and reinforcement learning.

In this role, you will work on fine-tuning and pre-training large-scale AI models (e.g., transformers, latent diffusion models, graph neural networks) to tackle complex challenges in energy trading. 

What you’ll do:

• Develop and optimize machine learning models on GPU clusters to improve energy trading strategies.
• Work with large datasets to train and fine-tune transformers, diffusion models, and graph NNs.
• Collaborate with a multidisciplinary team to drive innovation in the energy sector.

What we’re looking for:

• Strong background in machine learning, deep learning, and reinforcement learning.
• Hands-on experience with frameworks like PyTorch and GPU-based model training. 
• A passion for applying AI to real-world problems in the energy domain.

Role #2

PhDs, Postdocs, and Interns in Machine Learning & Data Science (Geneva, Switzerland)

We are hiring PhDs, Postdocs, and interns with a strong foundation in machine learning and data science to join our team in Geneva.

You’ll work on fine-tuning and pre-training large AI models (e.g., transformers, latent diffusion models, graph NNs) to support commodity trading across energy, metals, freight, and carbon credits.

What you’ll do:

• Conduct cutting-edge research and development in machine learning and AI. 
• Train and deploy large-scale models on GPU infrastructure to optimize trading strategies. 
• Collaborate with leading researchers and industry experts to solve high-impact problems. 

What we’re looking for:

• Advanced degree (PhD or Postdoc) or current enrollment in a relevant program (internship opportunities available).
• Proficiency in PyTorch and experience with GPU-based model training. 
• Interest in applying AI to commodity trading and related industries.

Role #3

Internships in Ecology, Computational Biology & Machine Learning (Geneva, Switzerland & Auckland, New Zealand)

We are offering exciting internship opportunities for individuals with a background in ecology or computational biology and experience in machine learning and deep learning. Join our teams in Geneva and Auckland to work on innovative biodiversity projects related to nature-based carbon credits. Interns in Auckland will be co-supervised and work with external biodiversity collaborators in New Zealand.

What you’ll do:

• Utilize machine learning techniques to analyze ecological and biodiversity datasets. 
• Contribute to the development of projects focused on nature-based solutions and carbon credit systems. 
• Collaborate with a global team of researchers and practitioners to address pressing environmental challenges.

What we’re looking for:

• Academic background in ecology, computational biology, or a related field. 
• Experience in training machine learning models on GPUs. 
• Strong interest in sustainability and biodiversity conservation. 

Job details

Locations: Geneva, Switzerland / Houston, TX, USA / Auckland, New Zealand

Department: Technology

Posted on: 20th January 2025

Apply now

We regret that only shortlisted candidates will be notified.