Reinforcement Learning (RL) Engineer

Location: New York (Office)

On-site | Full-time

Compensation: Competitive

Our client is an elite development firm and a high-growth software company responsible for building the infrastructure behind the world’s largest crypto social networks and digital asset launchpads. Operating at the frontier of decentralized finance, the organization is composed of a mission-driven group of builders who prioritize speed, technical excellence, and talent density.

The organization is seeking a Reinforcement Learning (RL) Engineer to take end-to-end ownership of an RL-driven trading agent. This individual will manage real capital to increase trading volume and user participation within a high-velocity memecoin ecosystem. This is a high-stakes role designed for a "single-owner" expert who can bridge the gap between sophisticated modeling and live financial production. The successful candidate will transition existing heuristic-based systems toward learning-based approaches while enforcing rigorous risk parameters in a 24/7 global market.

Key Responsibilities

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We're looking for a data evangelist with hands-on SQL experience and a solid understanding of data architecture. You will thrive on empowering others through reporting and analytics, whether building solutions or mapping business processes to data. You will excel at uncovering relationships in complex data environments and simplifying technical concepts for diverse audiences.

Overview

As a Materials Data Analyst, you will play a pivotal role within the Sustainability and Materials Analytics team. You will deliver actionable data and insights to help optimize the Materials Supply Chain by matching supply with demand more efficiently and effectively.

Responsibilities

VA is migrating to the Momentum cloud solution, configured for VA as Integrated Financial and Acquisition Management System (iFAMS) and hosted in the VA Azure cloud. VA is gaining increased operational efficiency, productivity, agility, and flexibility from a modern enterprise resource planning (ERP) cloud solution. The new system also provides additional security, storage, and scalability. We are looking for a Momentum Technical SME to support this project.

Key Responsibilities

• Implement a financial and acquisition management system for a Cabinet Level Agency.
• Provide technical direction and guidance in the performance of analysis, requirements and development, and implementation of Momentum.
• Make recommendations on system improvements in the following specialties as they pertain to Momentum: information systems architecture, modeling and simulation.
• Provide technical, managerial, or administrative direction for functional domains related to IT systems and projects.

Requirements

DeFi Analyst - Risk Management & Market Safety

Location: Preference for NYC but can be USA or Europe based

Compensation: $120K - $150K

Join a company building technology that makes decentralized markets safer and more accessible. Our advanced risk management systems, oracles, and AI models secure billions in value and are trusted by leading protocols like Aave, GMX, dYdX, Venus, and Jupiter.

Reporting directly to the Lending Lead, we are looking for a talented DeFi Analyst to join our team and help shape the future of decentralized finance by delivering crucial insights and strategic recommendations to our customers.

The DeFi Analyst will leverage our simulation platform and quantitative methodologies to analyze complex datasets, model protocol risks, and provide actionable insights that directly impact market safety and capital efficiency.

Senior Data Scientist – DeFi Economic Risk & Security

Location: Remote - Preference is in Europe to overlap 5hours with EST timezone

Compensation: $130K - $150K

Join a pioneering company that provides the first automated, on-chain economic security system for crypto protocols. Our platform is trusted by leading DeFi protocols, collectively securing and managing billions of dollars in assets, by utilizing world-class custom EVM simulations to optimize risk management and capital efficiency. This is a high-impact role at the intersection of quantitative finance, data science, and decentralized technology.

As a Senior Data Scientist, reporting directly to the Head of Economic Risk & Strategy, you will be a critical driver of our modeling capabilities and data insights across the decentralized finance ecosystem. You will lead innovative research to understand market actor behavior and model these dynamics within our advanced simulation platform.

Your Mission & Responsibilities:

Robotics Software Engineer - Scientific Physical AI Platform

Location: San Francisco

Compensation: $150,000 – $210,000

We are a mission-driven company using AI, robotics, and biology to accelerate life science research, with the ultimate goal of eradicating disease. We are building a Scientific Physical AI platform that helps scientists scale their lab work and generate orders of magnitude more data. We are looking for a Robotics Software Engineer to build highly robust and performant solutions that redefine laboratory automation.

You will be instrumental in bridging complex biological processes with physical automation. This role is deeply hands-on, focused on robust manipulation and control of laboratory equipment. You will be expected to work directly with scientists, translate their biological needs into engineering requirements, and deliver production-ready software solutions in a dynamic, high-stakes environment.

In this role, you will:

Senior Data Scientist - Economic Risk & DeFi Simulation

Location: Remote - Preference for NYC - Will accept Remote USA & Europe to work EST hours

Compensation: $130K - $150K

We are the first automated, on-chain economic security system, trusted by leading protocols managing billions of dollars (including Aave, GMX, dYdX, and others). We provide actionable insights by analyzing protocol mechanics and scenario implications using world-class custom EVM simulations. We are seeking a proactive and results-driven Senior Data Scientist to advance our modeling capabilities and deliver powerful data insights across decentralized finance.

Reporting to the Head of Economic Risk & Strategy, you will play a critical role in strategic research, simulation, and risk analysis for market-leading protocols. This involves deep diving into complex crypto systems, modeling actor behavior, and translating intricate simulation results into intuitive, game-changing analytics for our institutional customers.

Responsibilities:

Quantitative Trading & Market Microstructure Specialist - High-Performance DEX

Location: Remote - Global (Preference for candidates based in: Lisbon, Portugal / UAE / Switzerland / Singapore / Hong Kong / Brazil / USA / UK / Spain / Canada / France / Germany / Greece)

Compensation: $180K - $220K

We are building a high-performance blockchain operating system that fundamentally redefines what's possible on Ethereum by prioritizing unparalleled throughput, decentralization, and security. We are now expanding the team for O2, a new, early-stage project: a next-generation decentralized exchange (DEX) running on our modular execution layer. Designed as a Central Limit Order Book (CLOB), our goal is to build the fastest DEX ever constructed, leveraging parallel execution to unlock high-frequency trading efficiency fully on-chain.

You will play a foundational role, leveraging your expertise in market making and quantitative trading to model, simulate, and optimize the market behavior of our core CLOB protocol. This is a highly hands-on role where you will design and test trading strategy logic, build simulation frameworks, and collaborate with engineering and research to inform critical protocol-level design decisions.

Key Responsibilities:

Location: San Francisco, CA (100% On-site)

Compensation: $150,000 - $210,000 (Based on experience and qualifications) + Competitive Equity

We are a growing technology company dedicated to accelerating life science research with the ultimate goal of eradicating disease. We are building a Scientific Physical AI platform that leverages AI, robotics, and biology to help scientists scale their lab work and generate orders of magnitude more data than previously possible. Join our mission-driven team of engineers to build the future of scientific research.

As a Robotics Software Engineer, you will be a key player in developing and deploying intelligent robotic systems that automate and scale complex laboratory procedures. This is a highly hands-on role where your code will directly control physical robots.

Key Responsibilities:

Overview

Union Maritime is a leading global shipowner and shipping solutions provider, powering global trade by transporting essential cargo safely, sustainably, and efficiently. We operate with an unwavering commitment to excellence, leveraging extensive maritime expertise and innovative technologies to deliver reliable and agile services, enabling our partners to unlock new growth opportunities. We strive to build long-term partnerships and foster a culture of sustainability that creates value for our customers, crew, and the global communities we serve.

We prioritise safety and environmental responsibility in all operations, continuously embracing digital innovation to optimise performance and reduce our ecological footprint.

Role summary

We are seeking a highly experienced and well-connected Technical Compliance Manager to join our dynamic team. The successful candidate will play a critical role in navigating the complex and evolving landscape of international maritime regulations, with a particular focus on environmental compliance and the transition to alternative fuels. This position requires a proactive individual with deep industry knowledge, exceptional communication skills, and a strategic mindset to assess the impact of regulations on our fleet and future operations.

Requirements