Machine Learning Researcher
Gurugram, Haryana, India
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingApply deep learning models to trading problems using in-house features and computing infrastructure
Improve tick-by-tick order book time series feature sets with modern preprocessing techniques
Discover new sources of predictive alpha and verify they improve existing models
Build scalable pipelines for predictive models across global markets
Partner with quant researchers and developers to take research into production in Python / C++
From the employer’s posting
Work on current and develop new deep learning models to exploit large pool of in-house features and computing infrastructure
Improve tick-by-tick order book based time series feature sets using latest preprocessing techniques
Discover and implement new sources of predictive alpha, verify that they improve existing models, and integrate them into the firm's strategy development pipeline
Develop scalable pipeline for building predictive models across global markets
Partner with quant researchers and software developers in implementation of conducted research to production using Python / C++
What you’ll bring
All qualificationsCore experience
- Master's or PhD in Computer Science, Mathematics, Statistics, or a related field
- At least two years of ML/AI research experience in industry or academia
- Software engineering experience in Python / C++
Preferred experience
- Experience with Tensorflow, Keras, PyTorch is highly desirable
Qualification wording
Masters or PhD in Computer Science, Mathematics, Statistics, or a related field
At least two years of demonstrated experience of ML/AI research in a professional setting or at a reputable academic institution
Experience with software engineering in Python / C++
Experience with Tensorflow, Keras, PyTorch is highly desirable
Education & alternatives
Qualifications - Masters or PhD in Computer Science, Mathematics, Statistics, or a related field - At least two years of demonstrated experience of ML/AI research in a professional setting or at a reputable academic institution
Tools in this posting
- C++
- Python
- Keras
- PyTorch
- TensorFlow
Source — Tool mentions in context
- Discover and implement new sources of predictive alpha, verify that they improve existing models, and integrate them into the firm's strategy development pipeline - Partner with quant researchers and software developers in implementation of conducted research to production using Python / C++ - Advise infrastructure support team on latest developments on hardware and software to improve computing infrastructure for ML based research
- Track record of academic publications preferred - Experience with software engineering in Python / C++ - Experience with Tensorflow, Keras, PyTorch is highly desirable
- Experience with software engineering in Python / C++ - Experience with Tensorflow, Keras, PyTorch is highly desirable Benefits:
Benefits in the posting
Full benefits wording- Competitive compensation
- Annual international team outing
- Fully covered commuting expenses
- Best-in-class health insurance
- Delightful catered breakfasts and lunches
- A well-stocked kitchen
- Gym and sports club memberships
- Regular social events and clubs
- After work parties
From the employer’s posting.
Posting record
Report an errorOpen 6 monthsWe first saw this posting 198 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 14, 2026 · 198 days ago
- Recorded sightings
- 123
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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- Have your resume and examples of relevant work ready.
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Job description
Who are we: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition, to statistical inference analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets.
As part of this team you will be tasked to apply machine learning and specifically deep learning techniques to trading problems while staying connected to broader research community. The researcher will put theory into practice and can immediately impact the global trading landscape with the expanding presence of Graviton in various markets.
Description
- Lead research in applying machine learning to a wide variety of datasets and trading problems
- Follow latest developments in academic research and incorporating research techniques from different fields of applications to our problems
- Improve tick-by-tick order book based time series feature sets using latest preprocessing techniques
- Work on current and develop new deep learning models to exploit large pool of in-house features and computing infrastructure
- Develop scalable pipeline for building predictive models across global markets
- Discover and implement new sources of predictive alpha, verify that they improve existing models, and integrate them into the firm's strategy development pipeline
- Partner with quant researchers and software developers in implementation of conducted research to production using Python / C++
- Advise infrastructure support team on latest developments on hardware and software to improve computing infrastructure for ML based research
Qualifications
- Masters or PhD in Computer Science, Mathematics, Statistics, or a related field
- At least two years of demonstrated experience of ML/AI research in a professional setting or at a reputable academic institution
- Track record of academic publications preferred
- Experience with software engineering in Python / C++
- Experience with Tensorflow, Keras, PyTorch is highly desirable
Benefits:
Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great ideas and technological innovations. Everyone on the team is approachable, there is nothing better than working with friends!
Our perks have you covered.
- Competitive compensation
- Annual international team outing
- Fully covered commuting expenses
- Best-in-class health insurance
- Delightful catered breakfasts and lunches
- A well-stocked kitchen
- 4 week annual leaves along with market holidays
- Gym and sports club memberships
- Regular social events and clubs
- After work parties
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Gurugram, Haryana, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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