Staff Machine Learning Engineer, Prophecy.io
Knowledge Graph
$250-350k
Low code data engineering
Be an early applicant
Low code data engineering
101-200 employees
Be an early applicant
$250-350k
101-200 employees
Company mission
To democratize the development and deployment of high-quality data pipelines.
Role
Who you are
- Expertise in building and managing Knowledge Graphs, including entity extraction, linkage, and ontology design
- Experience integrating Knowledge Graph with AI systems for retrieval, reasoning, and agent context (e.g., enriching with LLM)
- Tech lead experience: Owning end-to-end KG projects, from design to deployment, with leadership in cross-functional teams
- Versatile software developer: fluency in Python, REST APIs, microservices in public cloud; some experience with Go, AWS, k8s, java, Scala
- Hands-on experience in developing, optimizing and operating neo4j or similar graph databases
- Builder mentality: Demonstrated experience taking ideas to production
- Experience: 5+ years in industry
Desirable
- ML/LLM work in code generation (e.g., Codex, text-to-SQL), semantic extraction, or knowledge graphs (e.g., Neo4j, Neptune)
- Experience with big-data engines like Spark
- Compiler development for languages like SQL, Python, or Scala
- Optimization of ML models for low-latency, high-throughput production use
- Contributions to open-source AI/ML projects (e.g., Hugging Face, PyTorch)
- Expertise in retrieval systems or vector databases (e.g., Pinecone, Weaviate)
- Skill in evaluating tech and driving build/buy decisions
What the job involves
- Prophecy is the world’s most advanced data integration platform, designed to make complex data work simple and powerful
- Designed natively for modern cloud data platforms, Prophecy uniquely serves the needs of business analysts while ensuring enterprise-grade governance and compliance, giving organizations the confidence to innovate
- Our AI-driven platform simplifies and automates data preparation, accelerating AI and analytics across Fortune 500 companies in banking, insurance, healthcare, life sciences, and technology
- By enabling secure, self-service data transformation within a robust governance framework, Prophecy empowers every data user to develop, deploy, and monitor cloud-native data pipelines with ease
- Today, Prophecy supports tens of thousands of pipelines, delivering clean, trusted, and timely data at scale to power the most demanding AI and analytics workloads
Our take
Some reports suggest that data engineers can spend as little as 20% of their time actually analysing data - the rest is spent on administrative tasks like data cleaning and organization. It’s an issue that legacy data management systems are struggling to help enterprises stay on top of, according to Prophecy.
Prophecy has developed a data engineering platform that offers a low-code environment that runs in parallel to the code editor, meaning both analysts and engineers can easily toggle back and forth and collaborate on projects. The company also offers a compiler to help companies move their data pipelines onto the cloud.
This means that Prophecy’s offering straddles two rapidly accelerating trends that could see the company win big business. Firstly, there's an increasing number of companies looking to migrate to the cloud without the astronomical costs and risks that doing so independently can bring. Secondly, the rise of low/no-code is driven by the high demand for (and general shortage of) developer talent. It’s helped the company onboard some key enterprise customers already, so with healthy funding under its belt, Prophecy is making confident first steps.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Jan 2025
$47m
SERIES B
Oct 2023
$35m
SERIES B
Total funding: $116.5m
Company benefits
- We provide Platinum (Blue Shield 90 PPO) healthcare for you and your family that is paid 100% by Prophecy
- There is flexible time off
- Our office is comfortable, with easy parking and everyone gets a standing desk
- California Avenue in Palo Alto is walkable from the office and provides excellent lunch options
- Equinox gym is walkable from the office and your membership is paid by us
Company HQ
Core-Columbia, San Diego, CA
Leadership
Raj Bains
(Co-Founder & CEO)Worked as a Software Developer / Engineer with Microsoft and NVIDIA, then moved into senior engineering roles at RMS and Viome, and senior product roles at Clustrix and Hortonworks.
Rohit Bakhshi
(Co-Founder & Advisor)Has worked as a Development Lead with Accenture Interactive, then consulted with them on R&D. Subsequently worked on product development for Hortonworks, Meteor Development Group, and Confluent. Also served as the Web Chair for the VLAB Executive Team at MIT/Stanford Venture Lab.
Maciej Szpakowski
(Co-Founder)Previously worked as a software engineer both freelance, and with Lumina Learning. Went on to co-found Researchably.
Vika Smarwaha
(Co-Founder)Previously worked in sales at Satyam Computers Services and HP, before leading sales at Headstrong, then serving as GM at Wipro.
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