Machine Learning Engineer

Posted 18 Days Ago
Be an Early Applicant
London, Greater London, England
Mid level
Artificial Intelligence • Biotech
The Role
Seeking a Machine Learning Engineer to train models for AI integration, focusing on data collection, model training, and improving ML workflows.
Summary Generated by Built In

Machine Learning Engineer

About Us

At Convergence, we're transforming the way AI integrates into our daily lives. Our team is developing the next generation of AI agents that don't just process information but take actions, learn from experience, and collaborate with humans. By introducing Large Meta Learning Models (LMLMs) that integrate memory as a core component, we're enabling AI to improve continuously through user feedback and acquire new skills during real-time use.

We believe in freeing individuals and businesses from mundane, repetitive tasks, allowing them to focus on innovative and creative work that truly matters. Our personalised AI assistants collaborate with users to enhance productivity and creativity. With a recent $12 million pre-seed funding from Balderton Capital, Salesforce Ventures, and Shopify Ventures, we're poised to make a significant impact in the AI space. Join us in shaping the future of human-AI collaboration and be part of our mission to transform the AI landscape.

The Role

We are looking for talented ML engineers and researchers to join our team and focus on training models which power Proxy, our generalist agent.

You will work with a small team — equipped with lots of GPUs – to train models, including multi-modal vision LLMs and action models.

You will also be laying the foundations of machine learning engineering at Convergence, utilising tools and best practices to improve our ML workflows.

Responsibilities

Your role will span the full stack of model training, including:

  • Implementing and testing different fine-tuning and preference learning techniques like DPO

  • Building datasets through scrappy methods, including synthetic data pipelines, data scrapers, combining open source datasets, and spinning up data annotations

  • Conducting experiments to find good data mixes, regularisers, and hyperparameters

At Convergence, members of technical staff own experiments end-to-end (you will get the chance to learn these skills on the job). A day in the life might include:

  • Data collection and cleaning. Implementing scalable data pipelines

  • Designing processes and software to facilitate ML experimentation

  • Implementing and debugging new ML frameworks and approaches

  • Training models

  • Building tooling to evaluate and play with your models

Outside of modelling, you will also help with making your models come to life:

  • Improving a variety of things like data quality, data formatting, job startup speed, evaluation speed, ease of experimentation

  • Adjusting our infrastructure for model inference, such as improving constrained generation for tool-use

  • Working with engineering to integrate models into Proxy

Requirements

  • Direct experience training LLMs or VLMs with methods such as distillation, supervised fine-tuning, and policy optimisation

  • Experience with large-scale distributed training and inference

  • Experience debugging ML systems and codebases

  • Proficiency in frameworks like PyTorch

  • Strong general foundations in software engineering, with an interest in non-ML software too – doing whatever it takes to build incredible models as a small team

Bonus Qualifications

  • Experience training Llama models or other open source models

  • Experience with frameworks for fine-tuning and RLHF

  • Familiarity with public datasets (including synthetic ones) for improving model capabilities

  • Experience with ML ops and infrastructure. Experience improving ML practices

Why Join Us?

  • Be at the cutting edge of AI and foundation models

  • Work on challenging problems that impact users' daily lives

  • Collaborative and innovative work environment

  • Opportunities for professional growth and learning

  • Competitive salary plus Equity 

  • Benefits: 30 days PTO, Private Medical Cover, Pension, Wellness Benefit, Lunch Allowance and Flexible Working Environment

Top Skills

Large Language Models
Machine Learning
PyTorch
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
London
23 Employees
On-site Workplace

What We Do

At Convergence, our mission is to build a future of abundance for all of humanity.

We are developing the first generation of truly general agents that can pick up any skill by actively working and learning from experience.

Similar Jobs

Hybrid
London, Greater London, England, GBR
289097 Employees
3 Locations
1500 Employees
127K-297K Annually
Remote
4 Locations
55 Employees
Hybrid
London, Greater London, England, GBR
289097 Employees

Similar Companies Hiring

Stepful Thumbnail
Software • Healthtech • Edtech • Artificial Intelligence
New York, New York
60 Employees
HERE Technologies Thumbnail
Software • Logistics • Internet of Things • Information Technology • Computer Vision • Automotive • Artificial Intelligence
Amsterdam, NL
6000 Employees
True Anomaly Thumbnail
Software • Machine Learning • Hardware • Defense • Artificial Intelligence • Aerospace
Colorado Springs, CO
131 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account