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Founding Engineer
Tenzo AI
San Francisco, CA
- $150,000 to $225,000 USD / year
Tenzo is founded by engineering leaders from Verkada/Stanford research labs and backed by industry-leading investors like Abstract, WIN, a16z, and the founders of Yahoo, Verkada, and Hebbia.
Added just now
Forward-Deployed Engineer, Earth Observation
The Compression Company
San Francisco, CA
You can own integration, debugging, and validation end-to-end across hardware + software
Added 1 min ago
TC
Sales Development Representative - Remote (United States - Contract or Direct Hire)
TruFusion Consulting Group
Remote, United States
- $55,000 to $70,000 USD / year
…through engagement with cutting-edge technologies in AI, data engineering, and custom software development. Our open organizational culture values transparency, inclusivity, and…
Added 1 min ago
TC
Enterprise Sales Executive - AI & Migration - Northeast (Remote)
TruFusion Consulting Group
Remote, United States
- $250,000 to $300,000 USD / year
…consulting and technology services provider specializing in custom software, data engineering, and modernization solutions. Our unique Hybrid AI architecture rapidly transforms legacy…
Added 1 min ago
SO
Mechanical Engineer
Salas O'Brien
Madison, WI
- $85,000 to $110,000 USD / year
Founded in 1975, Salas O’Brien is an employee-owned engineering and professional services firm focused on achieving impact for our clients, our team, and the world. We know that tomorrow’s…
Added 1 min ago
SO
Mid-Level Mechanical Engineer
Salas O'Brien
Seattle, WA · Bozeman, MT
- $95,000 to $115,000 USD / year
Founded in 1975, Salas O’Brien is an employee-owned engineering and professional services firm focused on achieving impact for our clients, our team, and the world. We know that tomorrow’s…
Added 1 min ago
Senior Digital Marketing Manager
Ume Intelligence, Inc.
Remote, United States
We operate as a lean, high-leverage team with no walls between engineering and operations. We look for marketers who run toward technology, automation, and data models rather than away from…
Added 1 min ago
Product Manager (Forward-Deployed)
Ume Intelligence, Inc.
Remote, United States
…convert it into a structured process, an automated check, or a software spec, and partner with engineering to build…
Added 1 min ago
CA
Founding Engineer
Cascade AI
New York City, NY
- $150,000 to $250,000 USD / year
Move fast. Break things. Fix them. Ship again. Broken software used by a million people beats perfect software used by no one.
Added 1 min ago
Business Development
Cascade AI
New York City, NY
If you've done BD in architecture, engineering or construction, you know the problem. You hear about the RFP when everyone else does. The design team is already named. The owner has already…
Added 1 min ago
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Fullstack Engineer
Haven
New York City, NY
- $120,000 to $200,000 USD / year
Take ownership of the full software lifecycle - scoping, building, testing, deploying
Added 1 min ago
VA
Founding Engineer (Hybrid)
Voxology AI
Austin, TX
- $150,000 to $250,000 USD / year
…builder’s mindset - someone ready to shape both the product and engineering culture from the ground…
Added 1 min ago
VA
Founding Engineer
Voxology AI
Austin, TX
- $150,000 to $250,000 USD / year
…builder’s mindset - someone ready to shape both the product and engineering culture from the ground…
Added 2 mins ago
Sales and GTM Leader
Adapts
Bellevue, WA
Adapts is revolutionizing software maintenance by powering an Enterprise Code Knowledge Base to support engineering teams. By converting legacy code into thorough developer documentation,…
Added 2 mins ago
AI Engineer
The Agency Fund
Remote, United States
…automation, and better data use. We are now looking for a seasoned software engineer to join our team (as a contract role), contributing expertise while building with our partner…
Added 2 mins ago
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PLS, Land Surveyor
Advanced Spade Company
Long Beach, CA
- $160,000 to $200,000 USD / year
Advanced Spade Company develops hardware, software, and operational tools for utility undergrounding. We make maps, navigation, and construction tools by using these tools in the field…
Added 2 mins ago
Founding Simulation Engineer
Aviary Robotics
San Francisco, CA
Software engineering proficiency (Python and/or C++)
Added 2 mins ago
Founding Mechanical Engineer
Aviary Robotics
San Francisco, CA
…You'll work closely with the CEO (hardware background) and CTO (software/autonomy background) to take the platform from prototype to…
Added 2 mins ago
Founding Go-To-Market
Aviary Robotics
San Francisco, CA
Build and run outbound pipeline into utility operations, engineering, and procurement contacts
Added 2 mins ago
Platform Engineer Inter (Internship to hire)
Balanxbio
Remote, United States
· Currently pursuing or recently completed a degree or equivalent training in computer science, software engineering, information technology, or a related field.
Added 3 mins ago
Software Engineer 2 – Wireless Access Point Development
Hewlett Packard Enterprise
Cupertino, CA · Sunnyvale, CA
one year of software development in networking industry
Added 3 mins ago
Software Engineer 2 – Wireless Access Point Development
Hewlett Packard Enterprise
Cupertino, CA · Sunnyvale, CA
one year of software development in networking industry
Added 3 mins ago
Senior/Staff/Principal Software Engineer
Ease Health
New York City, NY
Strong full-stack software engineering skills
Added 3 mins ago
Frontend Software Engineer
Ease Health
New York City, NY
Shipped a lot of quality software quickly and a desire to do so again
Added 4 mins ago
DN
Founding Senior Software Engineer
Double Nickel
Brooklyn, NY
- $190,000 to $220,000 USD / year
5+ years of professional software engineering experience, with depth in full-stack development

Memory Bridge

Sr. Applied ML Engineer

Remote, United States

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Job details

Experience: 5+ years total experience, with at least 3 years in software engineering and 2 years building ML/NLP systems
Posting language: English

Original job description

At Memory Bridge, we’re tackling one of the hardest problems in AI: Large language models perfect memory while preserving user privacy. We’re looking for an exceptional ML Engineer who sees beyond simple RAG tutorials and understands that building production-grade memory systems requires deep software engineering expertise first, ML knowledge second. You’ll architect and build the core retrieval engine that powers personalized AI experiences across conversations, privacy-aware filtering, and adaptive memory updates. This is a rare opportunity to join our team as the founding ML engineer, where your code will directly shape how AI systems remember and learn. If you’re a strong programmer who has evolved into NLP/ML, we should talk. About You

The ideal candidate has evolved from senior software development into NLP/ML, bringing the architectural thinking and code craftsmanship needed to tackle complex memory persistence, multi-tier retrieval, and real-time personalization challenges that separate production systems from proof-of-concepts.
You champion frequent deployments. You believe in shipping code regularly and improving through real-world feedback rather than seeking perfection.
You solve problems creatively. You tackle challenges with a can-do attitude, recognizing when to build new features versus strengthening foundations.

Key Responsibilities

Design and implement the core memory subsystem architecture, including storage tiers, retrieval pipelines, and privacy-aware filtering mechanisms
Build evaluation frameworks to measure memory retrieval quality, relevance scoring, and augmentation effectiveness with clear metrics and benchmarks
Implement sophisticated memory extraction and classification systems that identify, rank, and surface relevant user context from chat histories
Research and adapt cutting-edge memory architectures from academic papers and open-source implementations (e.g., MemGPT, Reflexion, cognitive architectures)
Architect the memory update pipeline that learns from user interactions, including relevance feedback, correction mechanisms, and adaptive privacy classification
Design hybrid search strategies that combine semantic embeddings with structured metadata, graph relationships, and temporal patterns for optimal memory retrieval
Collaborate with PM to define technical constraints and feasibility for memory system features
Takes ownership of production reliability for AI features - comfortable being on-call for prompt failures, extraction issues, or integration breakdowns
Understanding of AI system failure modes and fallback strategies - knows when to gracefully degrade vs. retry vs. escalate to human review

Requirements (Must-haves)

5+ years total experience, with at least 3 years in software engineering and 2 years building ML/NLP systems
Hands-on experience building LLM-powered systems with a focus on context management, memory persistence, or personalization features
Production experience with vector databases (Pinecone, Weaviate, Chroma) and hybrid search systems combining semantic and keyword search
Proven experience shipping LLM-powered features to production, with an understanding of prompt engineering, context window management, and API reliability patterns
Hands-on experience with LLM orchestration frameworks (LangChain, LangGraph, Mem0, MemGPT, Letta) for building complex AI workflows
Demonstrated ability to implement hybrid search systems combining dense vectors, sparse indices, and metadata filtering
Strong debugging skills for RAG pipelines, prompt reliability, extraction accuracy, and function calling/MCP integrations
Experience with agentic architectures, including tool calling, MCP (Model Context Protocol), and function orchestration for database access and external integrations
Experience with privacy-preserving ML techniques or building systems with strict data isolation requirements
Expert Python programming, plus working knowledge of JavaScript/TypeScript for API integration and JSON schema design for LLM tool definitions

Nice-to-Have Skills

You’re familiar with underlying technologies like transformer networks, attention mechanisms, and how they contribute to models’ abilities to generate coherent responses, function calls, and other language tasks
Experience with graph databases or knowledge graphs for representing user memory relationships
Familiarity with testing LLM applications - prompt regression tests, evaluation datasets, and A/B testing for AI features
Experience designing LLM-friendly APIs with structured outputs, streaming responses, and token usage optimization
Experience with experiment tracking and model versioning for memory/retrieval systems
Experience with privacy regulations (GDPR/CCPA) and implementing data deletion, consent management, or audit trails in ML systems
Background in recommendation systems or personalization engines
Contributions to open-source LLM/RAG projects or memory-related research
Master’s or PhD degree in physics, biology, CS, Electrical Engineering, etc., can be helpful but not required

Tech Stack & Tools Core

Python – Primary language for ML/AI development
FastAPI – For building high-performance async APIs
Git/GitHub – Version control and collaboration workflow
GitHub Actions – Familiarity with CI/CD automation pipelines
JSON – Standard for structured data exchange and API contracts

Databases

Vector Databases – Pinecone, Weaviate, Chroma, Qdrant
PostgreSQL – Primary relational database for structured data
MongoDB – Document store for flexible, user-defined memory structures

AI/ML Frameworks

LLM Orchestration – LangChain, LangGraph, LlamaIndex, Haystack
Model Provider APIs – OpenAI, Anthropic, Cohere, and others

Nice to Have

Elasticsearch – Full-text search and log-based memory indexing
Docker – For local development and containerized deployment

How To Apply At Memory Bridge, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We’re looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the updated resume is essential. Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process.

Memory Bridge is an equal-opportunity employer and we’re excited to work with talented and empathetic people of all identities. Memory Bridge does not discriminate based on someone’s identity in any aspect of hiring or employment, as required by law and in line with our commitment to Diversity, Inclusion, Belonging, and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Memory Bridge will consider all qualified applicants, including those with criminal histories, consistent with applicable laws. The anticipated application window is 30 days from the date the job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled. How We Work We are a remote-native company, intentionally designed for deep work and focused execution. We hire the best minds, wherever they are, and empower them to solve some of the hardest problems in AI. Our culture thrives on asynchronous communication, radical transparency, and a commitment to sustainable performance - not burnout. If you’re obsessed with solving the AI context problem and want to ship products that will redefine human-computer interaction, we want to hear from you.

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More about this job

Skills

ML
Software development
Natural language processing
Research
Reflexion
LangChain
Debugging
Python
JavaScript
TypeScript
Electrical engineering
Git
GitHub
Collaboration
Workflow
CI/CD
PostgreSQL
MongoDB
Elasticsearch
Docker

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