Senior ML Engineer: Model Training for Hardware Accel

Luxoft Poland; Poland; On-site; PLN 180,000 - 340,000; Full time

Benefits offered by this job

Tax-deductible contract costs

Private Medical & Dental care & Life保险

MyBenefit program

Internal Mobility program

Job summary

Luxoft Poland is seeking a senior ML engineer to define and lead the ML model roadmap for a security platform that uses silicon-level PMCs and on-chip ML. You will architect scalable training pipelines, drive dataset strategy, and mentor engineers across projects.

The role involves collaborating with hardware teams on NPU capabilities, optimizing classifiers for throughput/latency, and presenting strategy in architecture reviews and partner meetings. Poland-based candidates encouraged.

Qualifications

• 7+ years of applied ML experience including 3+ years in security, anomaly detection or hardware/systems ML.
• Expert-level PyTorch or TensorFlow; strong Python; experience taking ML models to production.
• Experience with model deployment on GPU, NPU or other specialized accelerators.

Responsibilities

• Define and lead the ML model roadmap, progressing from binary malware/benign classification through multi-class threat taxonomy to behavioral attack-pattern detection.
• Architect training pipelines that scale to a growing malware variant library with reproducible, versioned experiments; establish model quality gates for production promotion.
• Lead research into advanced detection techniques including behavioral sequence modeling and detection of novel, previously unseen threat categories.
• Optimize multi-class ML classifiers for NPU inference against throughput and latency requirements; collaborate with hardware teams on NPU capability requirements.
• Drive dataset strategy including coverage across threat categories, synthetic data generation and dataset quality standards.
• Mentor MTS ML engineers; lead model and code reviews; establish best practices for reproducibility, documentation and experimental rigor. Represent ML model strategy in architecture reviews, external partner technical meetings and potential research publications.

Skills

ML leadership

Security ML

Team mentorship

Technical direction

Tools

PyTorch

TensorFlow

Python

GPU/NPU deployment

Job description

Luxoft Poland is seeking a senior ML engineer to define and lead the ML model roadmap for a security platform that uses silicon-level PMCs and on-chip ML. You will architect scalable training pipelines, drive dataset strategy, and mentor engineers across projects.

The role involves collaborating with hardware teams on NPU capabilities, optimizing classifiers for throughput/latency, and presenting strategy in architecture reviews and partner meetings. Poland-based candidates encouraged.