Software Engineering

Salesforce, Inc.; Greater London; On-site; GBP 70,000 - GBP 90,000; Full time

Job summary

A leading technology firm in Greater London is seeking Members of Technical Staff to drive AI innovation. Candidates will lead research on training transformer models, work with researchers, and publish findings in top-tier conferences. Ideal applicants should have a PhD in related fields and deep knowledge of AI frameworks like PyTorch. This role promises exciting challenges in a dynamic environment that emphasizes innovation, research, and collaboration.

Benefits

Comprehensive benefits package

Flexible working conditions

Opportunities for professional development

Qualifications

• Deep knowledge of transformer architectures and vision-language models.
• Expertise in training and fine-tuning open source models.
• Proficiency in PyTorch and related training frameworks.

Responsibilities

• Design and implement novel supervised fine-tuning and reinforcement learning techniques.
• Develop methods for data curation, including synthetic data generation.
• Publish research findings in top-tier AI conferences.

Skills

Knowledge of transformer architectures

Deep Learning fundamentals

Proficiency in PyTorch

Reinforcement learning techniques

Large-scale distributed training

Education

PhD in Computer Science or related field

Tools

DeepSpeed

FSDP

Ray

Job description

*To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Job CategorySoftware EngineeringJob Details****About Salesforce****Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.In June 2025, Convergence AI was acquired by Salesforce, joining the Agentforce team. The goal is to establish Salesforce's first engineering team in London, focusing on agent research topics and developing the next generation of personal assistants capable of automating large, previously labor-intensive workstreams for the enterprise world.**The Role** We are looking for Members of Technical Staff with strong academic backgrounds to join our team and lead research initiatives on training foundation models for a brand new enterprise agent. You will work with a small team of hands-on researchers — equipped with substantial GPU resources – to advance the state-of-the-art in multi-modal vision-language models, reinforcement learning, and action models. You will develop novel architectures and training approaches while publishing your findings in top-tier AI conferences and journals.**Responsibilities** Your role will span both theoretical research and practical implementation:* Designing and implementing novel supervised fine-tuning, preference learning and reinforcement learning techniques* Developing innovative methods for data curation, including synthetic data generation pipelines and optimal dataset composition strategies* Conducting rigorous experimentation to optimize model performance through data mixes, regularization techniques, and low-level optimizations* Advancing the theoretical understanding of transformer architectures and their applications to multi-modal learning* Publishing research findings in top-tier venues such as NeurIPS, ICML, and ICLR**Requirements*** Deep knowledge of transformer architectures and vision-language models and strong theoretical understanding of deep learning fundamentals* Expertise in training and fine-tuning open source models using techniques such as supervised fine-tuning or reinforcement learning* Proficiency in PyTorch and related frameworks* Experience with large-scale distributed training and inference using e.g. DeepSpeed, FSDP, Ray**Bonus Qualifications*** PhD in Computer Science, Machine Learning, or related field* Strong publication record in top-tier ML conferences (NeurIPS, ICML, ICLR) or top journals* Research experience at leading academic or industrial research labs* Demonstrated expertise in reinforcement learning* Contributions to open-source ML frameworks* Experience developing novel datasets or data generation approaches* Background in causal reasoning or alignment researchUnleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this .We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.Posting StatementAny employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.### ### ### ### ### ### ### ###