```Duties```
- Assist in developing techniques and infrastructure from initial concepts to systematic trading prototypes.
- Engage in coding, employing machine learning tools, conducting experiments, and developing techniques to enhance our grasp of financial data's impact.
- Collaborate closely with teams to integrate your innovations into our products.
- Partner with teams to implement your ideas into their products
```Requirements```
- Bachelor's degree or higher in Computer Science, Engineering, or related STEM field.
- Proficiency in Python, C++, or similar languages; familiarity and practical experience with machine leanring frameworks such as TensorFlow, PyTorch is a highly preferred.
- Experience involving machine learning, deep learning, or reinforcement learning, preferable in the financial sector.
- Interest in machine learning applications to financial problems.
- Experience in cloud environments and multi-machine setups is beneficial.
- Participation in open source projects is desirable.
Please note that this job description is not exhaustive and additional duties may be assigned based on the needs of the organization.
If you are passionate about research, have a strong background in machine learning, and possess the required skills, we encourage you to apply for this exciting opportunity.
Job Type: Full-time
Pay: $125,000.00 - $200,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
Schedule:
- Monday to Friday
Work Location: Hybrid remote in Chicago, IL 60611