Job summary
Job post source
This job is directly from DRW
Job overview
The AI Researcher role at DRW involves collaborating with a team to develop and apply AI and machine learning models, impacting financial decision-making and advancing AI methodologies.
Responsibilities and impact
The AI Researcher will develop and test AI algorithms, build data pipelines, evaluate model performance, collaborate on research methodologies, and stay updated on AI advancements to improve research processes.
Compensation and benefits
The position offers an annual base salary of $175,000 to $200,000 plus an annual discretionary bonus, comprehensive medical, dental, vision insurance, 401k with employer match, disability and life insurance, health savings and flexible spending accounts.
Experience and skills
Candidates should have a PhD in AI, machine learning, computer science or related field, strong AI and machine learning knowledge, programming skills in Python and Java, familiarity with ML frameworks like PyTorch, and interest in financial markets; NLP and MLOps knowledge are also valued.
Career development
The role offers opportunities to gain experience with cutting-edge AI/ML techniques, develop robust research skills from data engineering to model evaluation, and contribute to impactful research projects in finance and other domains.
Work environment and culture
DRW fosters a collaborative research culture with mentorship from industry experts, immediate responsibility, and a robust training program to support success.
Company information
DRW is a technology-driven trading firm that values exceptional talent, innovation, and results, focusing on applying AI to financial markets and other applied domains.
Team overview
The candidate will join a small team of experienced technologists, researchers, quants, and traders working closely together on AI and machine learning challenges.
Unique job features
The job features working with cutting-edge AI technology, direct impact on financial decision-making, mentorship by industry leaders, and a strong emphasis on continuous learning and collaboration.
Company overview
DRW is a diversified principal trading firm that leverages technology, research, and risk management to trade across a variety of asset classes, including equities, fixed income, commodities, and cryptocurrencies. Founded in 1992 by Don Wilson, the company has grown to become a significant player in the financial markets, utilizing proprietary trading strategies and advanced algorithms. DRW makes money through market making, arbitrage, and trading on its own account. Notably, the firm has expanded its operations to include venture capital investments and real estate, reflecting its adaptive and innovative approach to market opportunities.
How to land this job
Tailor your resume to emphasize your strong foundation in AI concepts, machine learning expertise, and programming skills in Python and Java, highlighting familiarity with frameworks like PyTorch and TensorFlow as mentioned in the job description.
Highlight experience or coursework related to NLP tasks, data engineering for model training, and any involvement in algorithm development or AI model testing to align with DRW's expectations.
Apply through multiple channels including DRW's corporate careers site and LinkedIn to maximize your visibility and ensure your application reaches the right recruiters.
Connect with current AI researchers or technologists at DRW on LinkedIn and initiate conversations by mentioning your shared interest in AI research or commenting on recent DRW AI projects, or asking about their experience working on LLMs or time series modeling.
Optimize your resume for ATS by incorporating key terms from the job description such as 'machine learning,' 'AI models,' 'data pipelines,' 'PyTorch,' 'TensorFlow,' 'NLP,' and 'MLOps' to improve your chances of passing automated screenings.
Consider using Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant DRW connections on LinkedIn, allowing you to focus your energy on preparing for interviews and skill development.
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