About The Role As a Middle Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities. What You’ll Do * Build, train, and deploy ML models that improve product performance and monetization. * Collaborate with data, product, and engineering teams across multiple internal initiatives. * Design and implement data pipelines for extraction, transformation, and analysis. * Apply statistical and machine learning techniques to real-world business problems. * Work on projects involving LLMs and Generative AI technologies. * Analyze large datasets to identify trends, insights, and optimization opportunities. * Integrate ML models into production systems and monitor their performance. * Communicate findings and recommendations clearly to technical and non-technical stakeholders. * Experiment with emerging AI tools and methodologies to enhance existing workflows. * Ensure data quality, reliability, and scalability in all deliverables.
What We’re Looking For * 3+ years of hands-on experience in ML Engineering or Data Science. * Strong programming skills in Python. * Proficiency in SQL for data querying and analysis. * Solid understanding of data processing, analysis, and visualization. * Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor). * Ability to build and deploy ML models end-to-end. * Strong analytical and problem-solving mindset. * Experience with .NET for integration work * Upper-intermediate English proficiency (B2 or higher). * Familiarity with Databricks or similar data platforms (nice-to-have). * Exposure to AWS or other cloud-based ML environments (nice-to-have).
Perks and Benefits * Time off throughout the year (paid and unpaid) * Professional development support and encouragement * Resources to help improve your overall well-being * Free JustAnswer membership
