or apply directly on Tower Research Capital's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 82 days Tower Research Capital's roles stay open a median of 83 days
- Reposted
- No
- Salary listed
- No 27% of Tower Research Capital's roles list one
- Ghost-job risk at Tower Research Capital
- high 86 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
- 2026-10-25
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 Machine Learning Engineer at Tower Research Capital, you will architect and develop a machine learning research platform focused on scalability and reliability. You will collaborate with quantitative researchers to enhance workflows, optimize distributed training pipelines, and improve experiment management. The role involves building infrastructure for large-scale experimentation and ensuring the platform can handle increasing data volumes and model complexity.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- 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
- 2+ years of experience designing and building large-scale distributed systems
- Strong programming experience in Python
- Experience developing and operating applications on Linux-based HPC clusters and/or cloud platforms
- Solid understanding of distributed computing concepts, parallel processing, and resource management
- Experience with GPU-based workloads and familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX)
- Experience optimizing data pipelines and handling large-scale structured and unstructured datasets
Nice to have
- Experience building internal ML platforms or research tooling at scale
- Familiarity with experiment tracking systems, workflow orchestration frameworks, and model lifecycle management
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Exposure to quantitative finance, simulation systems, or other latency- and performance-sensitive domains
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 (e.g., gym, personal training and more)
- Company-sponsored sports teams and fitness events
Worth weighing
- No salary listed
- Role involves tight timelines which may indicate a fast-paced work environment
- Focus on high-performance and scalability suggests a challenging technical landscape
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 2026-10-25. PitchMeAI is not the employer.
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