Software Engineer II
- Level
- Mid
Not stated in the posting: salary, work type, visa.
Open. First seen 2 November 2026.
About the role
Tower Research Capital's standard text
Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.
Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization.
Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.
At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best
At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.
Responsibilities
- Developing data pipelines to collect, process, and analyze diverse datasets at scale.
- Designing and implementing deep learning architectures capable of processing large volumes of data.
- Analyzing model performance by conducting experiments and tests to evaluate effectiveness and identify opportunities for improvement.
- Building and managing agentic workflows to support scalable and efficient AI/ML solutions.
- Optimizing and fine-tuning existing machine learning models to improve performance and effectiveness.
- Building and maintaining pipelines to monitor, manage, and continuously improve production machine learning and deep learning models.
Qualifications
- A bachelor’s, master’s, or PhD degree in computer science or a related field, with at least 2–6 years of relevant experience.
- Experience training, building, and deploying large-scale deep learning models is required.
- Experience designing and implementing sequence and time-series models is required.
- 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 for automating model deployment and managing production machine learning workflows.
- Working knowledge of Linux, SQL, Git, and Bash scripting.
Tower Research Capital's standard text
Benefits
Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.
At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.
Our benefits include:
- 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 (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
- Volunteer opportunities and charitable giving
- Social events, happy hours, treats, and celebrations throughout the year
- Workshops and continuous learning opportunities
Tower Research Capital's standard text
At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together.
Tower Research Capital is an equal opportunity employer.
What this role asks for
Particular to this role
Deep Learning · Git · MLOps · TensorFlow
Rare in Tower Research Capital's other 58 open postings.
In most of Tower Research Capital's ads
FPGA · Linux · Machine Learning · Python
Named in most of its open postings, whatever the role.
42% of this description is written for the role. The rest is Tower Research Capital's standard text, folded away below.
Compared with Tower Research Capital's other open jobs.
The team: Core AI and Machine Learning HIRES STEADILY
This role is one of 4 open in Core AI and Machine Learning. 1 was posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
FPGA (4 of 4), Machine Learning (4 of 4), Python (4 of 4), PyTorch (4 of 4), TensorFlow (4 of 4), Bash (3 of 4), Git (3 of 4)
OTHER ROLES ON THIS TEAM
- Intern - AI/ML posted Aug 20
- Software Engineer II posted Aug 19
- Machine Learning Research Engineer posted Aug 11
From the team and dates on Tower Research Capital's own job board.
Other openings for this role
2 open postings for this role in Gurgaon, first posted 3 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.
- 2 November 2026 – open (this posting)
- 3 October 2026 – open
Salary context
34 other open postings titled Software Engineer II state a salary: median USD 106,050 to USD 188,000 a year.
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