6 months ago
Boston, MA, USA +2 moreStaff+
Responsibilities
- Research and apply AI and machine learning methods, including agents, LLMs, RAG, embeddings, supervised learning, and unsupervised learning, to build product capabilities.
- Select, build, train, evaluate, and improve models while balancing research and engineering tradeoffs.
- Translate business problems into AI solutions that improve workflows, accelerate insights, and generate measurable business value.
- Own the architecture of agentic chat and establish patterns for agents to interact with internal data, external tools, and user workflows.
- Architect multi-tenant AI infrastructure for the performance, latency, and cost needs of a growing B2B SaaS product.
- Own observability, evaluation frameworks, and guardrails for production ML and AI features.
- Collaborate with product and application engineering teams to translate requirements into AI systems.
- Advise leadership on the AI roadmap and product differentiation strategy.
Requirements
- 8+ years of professional experience in machine learning, data science, or closely adjacent work, with progressive software engineering or data engineering depth.
- Experience shipping ML-, LLM-powered, or agentic features to production, including prompt engineering, RAG, evaluation, and LLM deployment.
- Experience owning modeling approaches, including selecting, training, and evaluating models and defending technical choices.
- Strong programming skills in Python and proficiency in SQL.
- Experience with modeling, experimentation, feature engineering, PyTorch or TensorFlow, scikit-learn, Hugging Face, LangChain, and data pipelines using Airflow, Dagster, or equivalent.
- Solid understanding of cloud infrastructure, including AWS, GCP, or Azure.
- Track record of translating business problems into data solutions and shipping user-facing features with measurable impact.
- Strong written and verbal communication skills and ability to collaborate across data, engineering, and product teams.
- Non-traditional backgrounds are welcomed, and candidates do not need to meet every listed requirement.
Benefits
- Competitive base salary and bonus.
- Equity.
- Medical, dental, and vision healthcare coverage.
- 401(k).
- Unlimited PTO plus company-wide shutdowns during the July 4th week and the Christmas–New Year's week.
- Remote role.
Tech Stack
Apache AirflowAWSAzureDatadogDjangoGoogle Cloud PlatformMySQLNode.jsPostgreSQLPythonPyTorchReactscikit-learnSnowflakeSQLTensorFlowTypeScript
Categories
About Vendelux
Vendelux builds a SaaS platform that turns B2B events into a measurable revenue channel for marketing and sales teams, with AI-driven insights across hundreds of thousands of conferences and trade shows. Its products include event intelligence for planning and ROI analysis and Vendelux Meetings, which identifies high-value attendees and books 1:1 meetings. Founded in 2021 and headquartered in New York, the privately held, Series B company sources first-party data via partnerships with event organizers.