About the job
About the Role
As a Lead 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.
- 5+ years total experience in software or data engineering.
- 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).
Nice to have
- Familiarity with Databricks or similar data platforms.
- Exposure to AWS or other cloud-based ML environments.
About the company
201-500
Q&A
Advice
- Responds within three weeksBased on past data, JustAnswer usually responds to incoming applications within three weeks
- B2C
- Scale StageRapidly increasing operations
- 4.1Highly ratedJustAnswer is highly rated on Glassdoor, with 4.1 out of 5 stars
- 4.5Work / Life BalanceEmployees rate JustAnswer 4.5/5 on Glassdoor for work / life balance
Perks
401k
With matching
Company Meals
Catered lunches on Tuesdays and Thursdays
We are innovative
We're constantly learning, creating and adapting. We value disruption that makes a difference.
We are lean.
We always do more with less. Communication, meetings, resources. We embrace lean testing and the learning we gain.
We are courageous.
We take risks and challenge the status quo. It's okay to make mistakes but we recover fast. We're not afraid to question decisions and directions, no matter where they come from.
We are data-driven.
At JustAnswer, data decides, not egos. Letting the data speak keeps us customer-focused and lies at the heart of our company.
We are humble.
We're not big on fancy titles or corner offices. The best idea, from anyone, always wins.
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