Applied ML Engineer – Model R&D

Job not on LinkedIn

🔥 14 hours ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• No salary listed.

Apply Now

Find Similar Remote Jobs

Nascent Markets

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

💸 Finance

₿ Crypto

Finance • Crypto

Nascent Markets is a trading firm that researches, builds, and operates trading systems across liquid markets. It focuses on market microstructure, low-latency execution, and developing repeatable trading edge, and also engages with open and permissionless technologies (suggesting activity in blockchain/crypto markets). Teams are small, ownership-heavy, and work is directly tied to P&L.

📋 Description

• Refactor research-quality and prototype ML code into production-ready, maintainable, deployable systems • Own end-to-end deployment of ML pipelines, including data ingestion, feature engineering, model serving, monitoring, and reliability • Integrate structured development practices such as task management, Git workflows, code reviews, and CI/CD • Collaborate with researchers and the broader team to translate intent into observable production systems • Identify and address architectural and engineering quality issues • Build and maintain monitoring, logging, and alerting infrastructure • Support the transition toward Rust-native infrastructure • Participate approximately 25% in R&D while focusing approximately 75% on deployment and applied engineering

🎯 Requirements

• Experience in a professional, structured, team-based engineering environment • Experience with architecture decisions, rigorous code reviews, task management, Git workflows, CI/CD, and shared ownership of systems • Builder-oriented approach to turning research and prototype work into production-grade systems • Collaborative experience working alongside strong engineers and sharing system ownership • Curiosity about AI and ML systems • Ability to work with high autonomy in a fast-moving, ambiguous environment • Curiosity about financial markets • Rust proficiency or strong willingness to ramp quickly • Exposure to ML/AI concepts such as model training, inference pipelines, or working alongside ML researchers • Experience with NLP or text-based signal extraction as an applied engineering discipline • Experience in or curiosity about financial markets • Familiarity with MLOps tooling, including experiment tracking, model versioning, feature stores, or inference serving frameworks • Overlap with U.S. business hours is expected

🏖️ Benefits

• Remote-first, distributed team with frequent in-person sprints and retreats • Competitive total comp with strong bonus upside tied to performance • Hardware & home-office stipend • Conference and learning budgets • Comprehensive health benefits (medical/dental/vision) • Life insurance • Open vacation policy • Flexible work hours and location • 16 weeks fully-paid parental leave + supported return to work • Retirement matching

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume