Entrepreneurial AI Researcher - remote job

Deeter Analytics is hiring a Entrepreneurial AI Researcher. The role sits in Other jobs and is fully remote. The company places no restriction on where the candidate lives, so you can apply from anywhere.

The advert singles out Machine Learning, so experience with that one tool is what will decide it.

The employer did not publish a figure; that is settled at interview. The advert sets no condition on working hours.

This vacancy passed an automated check: the list excludes any advert requiring a foreign work permit, visa sponsorship, a particular citizenship, or residence in a specific country.

Join a dynamic team where you'll innovate and explore in the realm of financial applications through advanced machine learning models.

What you will do: - Develop and lead original research projects (reasoning, tool connectivity, robustness, alignment, data/compute efficiency). - Transition ideas from proof of concept to minimum viable product, then train and validate models, collaborating closely with Research Engineers. - Design robust evaluation frameworks using both simulated and real-time environments. - Quickly prototype with real data and work with Research Engineers to bring promising concepts to production.

What they are looking for: - A proactive individual who excels in coding independently and collaborating in small, high-velocity teams. - Strong experience in machine learning research (both theoretical and practical), with a track record of writing clean, reproducible code (e.g., PyTorch/JAX). - A systems thinker, considering data quality, scaling, evaluation, and deployment constraints beyond just model architecture. - A preference for clear principles, humility, and collaboration over titles and office politics. Relevant experience includes: - Work in frontier labs (e.g., Anthropic, OpenAI, DeepMind). - Published novel discoveries in conferences like NeurIPS, ICML, or ICLR. - Led research in an applied setting, such as startups, open-source projects, or large-scale products. - Notable independent achievements in open-source software, benchmarks, or widely adopted methods.

Research areas of interest: - Efficient training techniques (HRM, distillation, sparse/MoE, FSDP, etc.). - Reasoning and tool use in automated trading and interacting with data sources. - Multimodal inputs and outputs, incorporating various forms of text and time-series data.

Terms: - A well-funded trading firm expanding into AI research. - Real ownership from hypothesis formulation to deployment. - Competitive base salary with potential for meaningful upside based on research impact. - A culture focused on deep work, rapid learning, and ethical practices.