or apply directly on Tower Research Capital's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 28 days Tower Research Capital's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 27% of Tower Research Capital's roles list one
- Ghost-job risk at Tower Research Capital
- high 58 stale, 0 reposted of 86 open
- Hiring momentum
- 106 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Tower Research Capital's own greenhouse board since 2026-08-03. Full hiring picture for Tower Research Capital.
About this role
As a Software Engineer II at Tower Research Capital, you will focus on developing data pipelines and implementing deep learning architectures for processing large datasets. Your role will involve analyzing model performance, optimizing machine learning models, and managing workflows to support scalable AI/ML solutions. You will work in a collaborative environment alongside talented colleagues to enhance the firm's electronic trading infrastructure.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Tower Research Capital as an employer.
What you need
- Bachelor’s, master’s, or PhD degree in computer science or a related field
- 2–6 years of relevant experience
- Experience training, building, and deploying large-scale deep learning models
- Experience designing and implementing sequence and time-series models
- Expertise in Python with hands-on experience using deep learning frameworks such as PyTorch or TensorFlow
- Experience with Git, CI/CD pipelines, and MLOps practices
What you get
- Generous paid time off policies
- Savings plans and other financial wellness tools available in each region
- Hybrid working opportunities
- Free breakfast, lunch, and snacks daily
- In-office wellness experiences and reimbursement for select wellness expenses
- Company-sponsored sports teams and fitness events
Worth weighing
- No salary listed
- Focus on machine learning and deep learning may limit exposure to other areas of software engineering
- Emphasis on a collaborative culture may require adaptability for those used to more hierarchical environments
Summarised from Tower Research Capital's posting. Read the full original.
Listed by Tower Research Capital on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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