Machine Learning Researcher

IMC

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying state-of-the-art machine learning to solve challenging trading problems.  This role will drive the development of a centralized ML environment to be used across all areas of trading at IMC.  The ideal candidate will have experience working with other researchers, traders, and engineers to build and continuously improve a research platform to drive innovation via ML. We firmly believe that success for research-driven efforts lies in bringing together skills in ML, statistics and trading intuition as well as a problem-solving mindset and pragmatism.  This is an opportunity to dive deep into feature engineering and focus on applying a wide range of ML models as well as to perform research on building custom models. Your Core Responsibilities: * Lead the design, development, and deployment of machine learning models to enhance trading performance across various asset classes * Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization * Collaborate with quantitative traders, researchers and developers to translate market insights into data-driven features and models * Oversee data acquisition, preprocessing, and feature engineering for structured and unstructured data sources * Mentor junior researchers and contribute to a culture of research excellence and experimentation * Drive strategic decisions on model architecture, experimentation pipelines, and infrastructure for scalable research Your Skills and Experience: * PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field * 4+ years of experience building applied ML models; previous experience in trading environment preferred * Proven expertise in developing and deploying predictive models in low-latency environments * Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax * Strong understanding of theoretical foundations of state-of-the-art ML models * Prior people management experience preferred * Ability and desire to work in a collaborative team environment * Excellent written and verbal communication skills   #LI-DNP The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Salary Range $250,000—$300,000 USD About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

IMC

We are seeking a highly analytical and detail-oriented Quantitative Researcher to join our dynamic research team. The ideal candidate will have deep experience curating and analyzing a broad range of trading-related data sources—including traditional market data, fundamental datasets, and other vendor-supplied information. This role will contribute to the development of innovative trading strategies, support data-driven decision-making, and collaborate closely with trading, technology, and data acquisition teams. Key Responsibilities: * Curate, cleanse, and validate large volumes of market data, focusing on US equity and equity options * Integrate, preprocess, and evaluate fundamental & alternative data sources * Work closely with data acquisition & global data team to assess data quality * Build and maintain robust data pipelines for research and live trading environments * Perform data analysis ad statistical modeling to identify patterns and inefficiencies in the market * Ensure the accuracy, completeness, and timeliness of datasets used in quantitative modeling. * Document research processes, data provenance, and results with high standards of clarity and reproducibility * Collaborate with software engineers and traders to translate research into production-grade models and tools * Conduct quantitative research and analysis to support and enhance trading strategies  Required Skills & Experience: * 3+ years of experience in a quantitative research or data-focused role in financial markets, ideally in a systematic trading environment * Proven experience working with a diverse range of trading and financial data * Must have previous knowledge of options markets and experience working with options data * Hands-on experience integrating and analyzing non-market data sources is a plus * Strong understanding of data vendor landscape * Advanced proficiency in Python * Experience with databases (SQL) and handling large datasets efficiently * Familiarity with real-time data systems and tick-level data processing * Familiarity with statistical and machine learning techniques * Exceptional attention to detail and a systematic approach to problem-solving * Strong written and verbal communication skills #LI-DNP The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Salary Range $250,000—$300,000 USD About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

Extend

Extend is building a modern document processing cloud. We're on a mission to transform how the world works with unstructured data. As a Machine Learning Engineer at Extend, you’ll be responsible for building state-of-the-art document processing infrastructure. The work you do will impact every single customer across the millions of documents that our system ingests and processes every month. We’re looking to hire engineers who think creatively about problems, keep up to date on the latest in AI research, push for real-world customer impact (not only theory), and are excited about helping businesses tackle one of their most painful problems with AI. WHY YOU SHOULD CONSIDER JOINING * We've grown revenue 400% last year to several million ARR, with our growth continuing to accelerate * We have a product loved by users and being used in mission-critical flows at enterprises (Square, Zillow, Chime) and startups (Brex, Mercury, Checkr), and many more * The market for document processing has expanded 1000x due to LLMs, and all existing solutions are low NPS * We're punching well above our weight, supporting customer and revenue metrics with half the team size of other startups — everyone joining at this stage will have outsized impact * We've raised our series A & de-risked the business, but there's tremendous upside ahead; now's the perfect time to join. * You'll be joining a talent dense team (e.g. former founders, world record holders) operating in a high performance culture, in-person in NYC, with high equity ownership * We're tackling novel, unsolved problems at the intersection of LLMs, complex data processing, and human ↔ AI interfaces * You'll get a front row seat to how a successful startup is built with plenty of leadership opportunities as we grow quickly We're a lean team, and our customer base is growing too fast for us to keep up. We're looking for talented engineers to join our team and execute on an ambitious roadmap. ROLE * Training and deploying SOTA vision models for document processing * Design novel LLM techniques for increasing the complexity of use cases and data streams that Extend can be applied to * Monitor existing models in production, understand what’s working well (and what isn’t), and run experiments to solve those issues * Have complete ownership over the work you do — as a founding team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers. * Work directly with the CEO, CTO, and other founding members and help build out our team. BENEFITS Beyond the below, we care deeply about each of our candidates on a personal level. We take the time to understand your needs to craft a package designed for you: * Insurance - 90% health insurance premium coverage * Relocation - for candidates based outside of NYC * Unlimited PTO policy - we trust everyone like owners, take what you need * Daily lunch & snacks covered (plus dinner if you're in the office late) - you'll never go hungry and you help pick the snacks * Unlimited token / tooling access - no handicaps on your productivity * Learning and development investment - we invest heavily in our team and support your growth Extend is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, citizenship status, marital status, pregnancy, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.