Home › Companies › Prophecy › Staff AI/ML Engineer
Staff AI/ML Engineer
Prophecy · San Francisco, California, United States · Remote · Active · $250,000–$350,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Prophecy |
| Title | Staff AI/ML Engineer |
| Normalized title | - |
| Department / team | Engineering |
| Location | San Francisco, CA, United States |
| Work model | Remote / Remote |
| Employment type | - |
| Salary | $250,000–$350,000 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-05-04 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-23 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Prophecy. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Engineering . | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Prophecy |
| Source | cffb4148-3893-4a58-8311-8dd4e7606ed4 |
| ATS provider | Greenhouse |
Description
About Prophecy
The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale.
Don’t miss the rocket ship—join Prophecy and build the next data revolution.
Must-Have Skills :
Hands-on LLM/agent building (e.g., LangChain/Graph, CrewAI) and tuning to quality benchmarks.
Experience with semantic search, RAG, and vector databases.
Experience with prompt engineering and optimization
Agentic Use Cases : Hands-on experience building and deploying agents in at least one of the following scenarios:
Workflow Orchestration : Automating multi-step processes (e.g., ETL pipelines, supply chain optimization, or CRM workflows like Salesforce Agentforce).
Code Generation/Assistance : Developing or debugging code autonomously (e.g., similar to Devin AI or GitHub Copilot extensions).
Data Analysis/Transformation : Querying, manipulating, or analyzing data across sources (e.g., topic extraction, document analytics in vector DBs like Weaviate).
Personalized Assistance : Tailoring recommendations or plans (e.g., e-commerce, education, or finance agents).
Autonomous Decision-Making : Real-time decisions in domains like trading or healthcare (e.g., crypto trading, medical workflow optimization).
Content Creation : Generating text, art, or media (e.g., social media automation, presentation creation).
Multi-Agent Systems : Collaborative agents for simulations or transactions (e.g., policy-constrained evaluation, machine-to-machine commerce).
Versatile software developer: fluency in Python, REST APIs, microservices in public cloud; some experience with Go, AWS, k8s, java, Scala.
Builder mentality: Demonstrated experience taking ideas to production.
What Will Make You Stand Out
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).
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
Seniority : Staff or Principal
Location: This is a Hybrid role with 2-3 days a week in office. However, this can vary week to week.
Experience : 6+ years of Software Engineering experience minimum with 2+ of these being in AI/ML
Compensation: $250,000–$350,000 + Additional Equity
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.
Benefits and Perks
Prophecy covers 99% of employee health insurance premiums and 75% for dependents
We offer $200 per month towards remote work, wellness, gyms, massages, facials, and more!
Flexible PTO
Professional development allowance
Company sponsored Long Term Disability and Life Insurance, FSA/HSA, dental, vision, and more
Ability to have your fingerprint on an innovative platform
End-to-end ownership of your projects.
*Benefits and perks may vary per country
Prophecy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, age, disability, or veteran status.
Full job record
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| Org ID | 5ba73986-98df-4fab-b924-5a9a83f95df7 |
| Source ID | cffb4148-3893-4a58-8311-8dd4e7606ed4 |
| Board ID | cffb4148-3893-4a58-8311-8dd4e7606ed4 |
| Provider | greenhouse |
| Provider Job Key | 5125696007 |
| Title | Staff AI/ML Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco, California, United States |
| Department | Engineering |
| Team | — |
| Employment Type | — |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | Compensation: $250,000–$350,000 + Additional Equity Reflected is the base pay range offered for this position |
| Salary Min | 250,000 |
| Salary Max | 350,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://job-boards.greenhouse.io/prophecysimpledatalabs/jobs/5125696007 |
| Apply URL | https://job-boards.greenhouse.io/prophecysimpledatalabs/jobs/5125696007 |
| First Seen At | 2026-05-29 23:02:56Z |
| Last Seen At | 2026-06-23 07:38:10Z |
| Last Checked At | 2026-06-23 07:38:10Z |
| Last Changed At | 2026-05-29 23:02:56Z |
| Inactive At | — |
| Source Posted At | 2026-05-04 16:35:16Z |
| Source Updated At | 2026-05-12 16:53:40Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=prophecysimpledatalabs/date=2026-06-23/2026-06-23T07-38-10-130Z-49a1f47fcd072d646eb4776e846729bd006aeb66108ad5042e2c715cadeb66f2.json |
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