At Bodo, we are redefining what’s possible with Python for analytics, data engineering, and AI. We’ve developed the world’s first auto-parallelizing Python compiler, delivering HPC-level performance and efficiency for large-scale data processing. Now, we are building upon this foundational software and applying it directly to analytics and AI, empowering organizations of all sizes to new levels of efficiency, speed, and accuracy that could never before be met.
Our compiler technology has already empowered some of the world’s most data-driven companies to solve their data challenges with unprecedented speed and scalability. Backed by leaders like Dell Technologies, Snowflake, and AMD, and adopted by Fortune 10 customers, we are just beginning to unlock the true potential of data platforms.
That’s why we call it Transformative Python.
We’re looking for talented engineers with a passion for compilers, HPC, and AI to join us on this exciting journey to reshape the future of data analytics.
We are seeking a talented and experienced Senior Software Engineer to join our team as the Technical Lead. The ideal candidate will have experience designing, developing, and maintaining data pipelines combining data infrastructure and AI training infrastructure, to create an end-to-end product.
About the role
- Architect and design a Python package to help users create scalable pipelines, to go from ‘raw data’ to a trained AI model; including data filtering, data cleaning, data visualization, synthetic data creation, and integration into ML training (incl RL)
- Work with large datasets to develop both generic models as well as fine-tuned AI models, especially LLMs, using the package
- Continually improve the package by incorporating state-of-the-art techniques and frameworks
Experence
- 10+ years experience in data engineering or similar roles, with strong knowledge of designing and implementing complex AI and ML solutions, as a Senior Data Scientist, Machine Learning Engineer, or AI Engineer
- Strong proficiency in building large-scale data processing pipelines with AI training, familiar with distributed workloads (e.g., multiprocessing, MPI, Ray, Dask, Spark)
- Experience developing end-to-end pipelines for model training; from handling structured and unstructured data sources to cleaning and creating synthetic data to actual training
- Experience with AI technologies across the training journey, intimate familiarity with using Pytorch/ Horovod/ TensorflowAbility to take extreme ownership over your work
- Excellent problem-solving and communication skills
- Active GitHub contributions are a big plus
- Built Data pipelines for ML Training (Must, Ideally: Ray)
Perks of Working at Bodo:
✅ Comprehensive Health, Dental, and Vision insurance plans.
✅ Latest Apple MacBook equipment to support your work.
✅ Generous employee equity awards so you can be a part of Bodo’s success.
✅ Paid parental leave and flexible remote work options.
✅ 401K plan and HSA for your financial and healthcare needs.
✅ Access to training and learning opportunities aligned with your career growth.
At Bodo, we embrace the challenge of building transformative technology and are looking for engineers with a passion for making an impact. Studies show that underrepresented groups may hesitate to apply if they don’t meet 100% of the qualifications. We encourage you to apply, even if you feel you don’t check every box. We’re looking for potential and drive just as much as qualifications. We’re excited to see what you’ll bring to Bodo.
