Senior Machine Learning Scientist
StartupSoft connects top Ukrainian engineers with world-class startups from Silicon Valley and EU. Our developers work directly on the product as an integral part of the startup team.
About project
The world’s first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, combines broad insurance coverage with a digital risk assessment and continuous security monitoring to help organizations protect themselves in today’s hyper-connected world.
Opportunities to make an impact with bold thinking are real – and happening daily.
You’ll have the opportunity to work on complex problems in a highly innovative environment, collaborate with cross-functional teams and contribute to the design, development, and deployment of machine learning algorithms. Your work will directly impact the growth and vision of Coalition, as you help us transform raw data into unique ML applications, pushing the boundaries of AI technology.
Qualifications and skills
- Ph.D. or MS degree in a quantitative or computational field
- 5+ years of full-time work experience leading work to develop and deploy machine learning- and data-based solutions in production
- Practical and extensive experience in supervised and unsupervised machine learning methods
- Expertise in statistical analysis methods, most notably regression analysis, statistical inference, and forecasting
- Proficiency in SQL and programming in Python
- Comfortable and effective in ambiguous problem spaces; ability to own and drive projects with minimal oversight and process
- Exceptional written and oral communication with technical and non-technical audiences
Nice to have
- Excellent knowledge of the theory and practice of generative AI, Large Language Models and RLHF
- Experience with ML frameworks such as: PyTorch, Tensorflow, Keras, etc.
- Extensive knowledge of MLOps best practices
- Experience with AWS Sagemaker
- Experience in Insurance or Fintech though not required for this role
Responsibilities
- Drive and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring
- Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration
- Survey and incorporate recent advances in AI/ML research into our set of core capabilities to drive the future of decisioning at Coalition
- Thoughtfully communicate your work and experience in applied machine learning through internal collaborations and mentorship opportunities
- Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization
Why StartupSoft?
- Work with top entrepreneurs and startups from Silicon Valley and EU
- Become an integral part of the core team — be more than someone who just writes code
- Potential to receive equity in high-growth startups
- Contribute to well-funded products with potential to impact millions
- Beautiful offices in the best locations with high-end amenities
- Tight-knit team with an inclusive and transparent culture
- Only the latest, modern technologies with no legacy code and management bureaucracy
- Above average salary, benefits & medical insurance
