Full-Time Data Scientist
Blend360 is hiring a remote Full-Time Data Scientist. The career level for this job opening is Experienced and is accepting USA based applicants remotely. Read complete job description before applying.
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Blend360
Job Title
Data Scientist
Posted
Career Level
Full-Time
Career Level
Experienced
Locations Accepted
USA
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Job Details
We are looking for a Data Scientist to drive performance optimization for our clients AI Engine. This high-impact role will tackle complex computational bottlenecks and contribute to the re-engineering of simulation, training, and post-processing pipelines for large-scale industrial AI models. The candidate will collaborate with a multidisciplinary team to deliver quantifiable improvements in speed, scalability, and memory efficiency.
Responsibilities:
- Analyze and optimize AI engine code, focusing on removing performance bottlenecks in simulation, training, and post-processing workflows.
- Refactor sequential code and nested loops into efficient, vectorized operations, leveraging advanced knowledge in linear algebra and matrix decomposition.
- Diagnose and resolve computational inefficiencies related to GPU/TPU, non-vectorized data handling, and mixed framework operations (JAX, NumPy, Pandas).
- Develop and implement solutions for ODE (ordinary differential equation) solvers, optimization algorithms, and batch processing strategies.
- Lead root cause analysis for performance limitations and propose alternative algorithmic strategies (including MILP/LP, decomposition techniques, and alternative ODE solvers).
- Guide remediation and refactoring efforts, including memory optimization, JIT compilation, and data type standardization.
- Document improvements, monitor ongoing performance, and contribute to a roadmap for further scalability enhancements.
Qualifications:
- Masters in Mathematics, Operations Research, Computer Science, or related quantitative field.
- Deep expertise in matrix decomposition, numerical optimization, and ODEs, with a demonstrated ability to apply these in real-world computation.
- Strong proficiency in Python, with hands-on experience in JAX, and experience with GPU/TPU acceleration.
- Prior exposure to optimization in scientific computing, especially in re-engineering or scaling data pipelines.
- Familiarity with ensemble methods, batch and vectorized computation, and memory management in large datasets.
- Ability to communicate technical findings and lead cross-functional discussions for codebase improvement.
Preferred:
- PhD preferred
- Background in large-scale industrial AI or simulation platforms.
- Knowledge of MILP, LP decomposition, and alternative ODE solvers (e.g., diffrax, odeint).
- Experience transitioning AI workloads from CPU to GPU/TPU environments.
- Experience with JAX, PyTorch or TensorFlow as alternative computation frameworks.
- Experience with CI/CD practices for ML/AI pipelines, profiling tools (e.g., cProfile, memory_profiler, jax.profiler), and performance benchmarking.
FAQs
What is the last date for applying to the job?
The deadline to apply for Full-Time Data Scientist at Blend360 is
8th of September 2025
. We consider jobs older than one month to have expired.
Which countries are accepted for this remote job?
This job accepts [
USA
] applicants. .
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