Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
About the role
- Senior Machine Learning Engineer developing dataset strategies and model enhancements in a top-tier Quantum Software firm. Collaborating with a multicultural team to innovate in the AI domain.
Responsibilities
- Design and implement strategies for creating, sourcing, and augmenting datasets tailored for LLM training and fine-tuning.
- Develop scalable pipelines to collect, clean, filter, annotate, and validate large volumes of text data, ensuring quality, ethical compliance, etc.
- Collaborate with ML engineers, researchers, and software engineers to achieve ambitious goals in the preparation of LLMs and complementary work (preparing datasets, model evaluation, model serving, etc.).
- Develop and integrate new routines for modifying and enhancing LLMs, and extending their functionality.
- Make effective use of distributed compute resources and clusters (GPU’s), identify opportunities for further optimization.
- End-to-end preparation of compressed and specialized LLMs for use in production.
- Keep up to date with research trends in LLM foundation models, dataset curation, LLM pretraining data, and benchmarking.
- Contribute to building documentation, development standards, and a healthy shared code base.
- Mentor other engineers and provide knowledge sharing of cutting-edge techniques.
Requirements
- Master’s, or Ph.D. in Computer Science, AI, Data Science, Physics, Math, or a related field. Or equivalent industry experience.
- 4+ years of experience in data science, machine learning, or related roles, with demonstrated experience with NLP or LLMs.
- In-depth knowledge of large foundational model architectures (language and multimodal models) and their lifecycle: training, fine-tuning, alignment, and evaluation.
- Proficient in Python and data tooling ecosystems (Pandas, NumPy, Hugging Face Datasets & Transformers libraries).
- Hands-on experience with text data collection from diverse sources: web scraping, APIs, proprietary corpora, etc.
- Strong understanding of data quality metrics including bias detection, toxicity, and readability.
- Experience working in large shared distributed computing environments, familiarity with relevant tools for hardware optimization (vLLM, TensorRT, NeMo, etc.).
- Experience with version control (git), unit testing, and other fundamental aspects of software development.
- Effective communication and interpersonal abilities.
Benefits
- Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.
- Relocation package (if applicable).
- Up to 9-month contract, ending on June 2026.
- Hybrid role and flexible working hours.
- Be part of a fast-scaling Series B company at the forefront of deep tech.
- Equal pay guaranteed.
- International exposure in a multicultural, cutting-edge environment.
Job title
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Experience level
Salary
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Degree requirement
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