Staff ML Engineer

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/ $190000 - $225000 annum

INFO

Salary
SALARY:

$190000 - $225000

Location

LOCATION

Job Type
JOB TYPE

Permanent

Staff ML Engineer

Exciting, fast-growing fintech startup

Fully remote

Up to $225,000 base salary +competitive benefits/bonus

Company Overview

We're partnering with a fast-growing fintech startup that's building a suite of AI-driven products to improve how financial advice is delivered. This company operates more like a product ecosystem than a traditional startup - housing multiple platforms that each address a different challenge in investing, wealth management, or financial planning.

The engineering culture is lean, product-focused, and execution-driven. Small, autonomous teams (typically 2-5 engineers) own each product end-to-end. This is a high-impact environment for builders who want ownership, speed, and the ability to shape products from the ground up.

Key Projects

Engineers typically focus on one core product, but have opportunities to collaborate across others. Some ongoing initiatives include:

  • A portfolio intelligence tool that acts as a search engine for investments

  • AI agents that serve as virtual advisors or CIOs for financial professionals

  • A GenAI-based financial wellness platform for the workplace

  • RAG-powered systems used by asset managers to drive business decisions

  • Interfaces for charitable giving and alternative investment tools

All products heavily integrate GenAI, LLMs, and real-time decision systems. Several of these platforms are in active use by institutions, advisors, and individual investors.

Responsibilities

  • Design, train, and deploy machine learning models - especially LLMs - from research to production

  • Fine-tune open-weight language models using techniques such as LoRA, QLoRA, or RLHF (PPO, DPO, etc.)

  • Build and scale Retrieval-Augmented Generation (RAG) pipelines

  • Work cross-functionally with product and engineering teams to translate business needs into ML solutions

  • Maintain strong code quality and technical ownership over product features

  • Contribute to architecture and long-term platform evolution

  • Participate in peer reviews, technical discussions, and product planning

Skillset Required

Core Experience:

  • 6-7+ years of experience in ML or applied AI

  • Proven ability to take GenAI/ML products from ideation to production

  • Strong experience with fine-tuning LLMs (e.g. LLaMA, Mistral, GPT series)

  • Familiarity with prompt tuning, full fine-tuning, and reinforcement learning techniques

  • Proficiency in tools such as HuggingFace, DeepSpeed, vLLM, LangChain, Weights & Biases

  • Strong coding skills in Python; experience with production-grade systems

  • Ability to build and maintain scalable RAG pipelines

  • Experience designing or working with agentic workflows (e.g., LangGraph, CrewAI, AutoGen) is a plus

  • Startup or high-performance tech background preferred

  • Experience in finance or fintech is helpful but not required

Soft Skills:

  • Clear, confident communication - both technical and non-technical

  • Comfortable working autonomously in a fast-paced environment

  • Strong ownership mindset and problem-solving ability

  • Collaborative and low-ego approach to teamwork

If you're a hands-on machine learning engineer with experience in GenAI and an interest in solving real-world fintech problems, we'd love to hear from you. This is a high-ownership opportunity with real product impact from day one.

To apply or learn more, reach out directly.

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