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Software Engineer
Spice Data
San Francisco, CA
- $100,000 to $150,000 USD / year
Create and manage data collection scripts that utilize everything from basic HTTP requests to browser and mobile app automation
Added just now
SD
Senior Software Engineer
Spice Data
San Francisco, CA
- $160,000 to $220,000 USD / year
Join our small and nimble engineering team! We’re looking for an experienced engineer who enjoys working on a variety of different projects and large(ish) data pipelines (100M+ data points…
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Sr. Data Science Incrementality Engineer
Podscribe
Remote, United States
…optimize and measure their podcast ad campaigns with cutting-edge data insights. We are looking for a Senior Data Science Incrementality Engineer with deep expertise in marketing analytics…
Added 1 min ago
ML Compression Engineer
The Compression Company
San Francisco, CA
…reduce the cost of moving and storing high-value, high-volume data without destroying the information people rely on. We create codecs tailored to specific datasets and deployment…
Added 1 min ago
Forward-Deployed Engineer, Earth Observation
The Compression Company
San Francisco, CA
…onboard satellite-class systems), and validating that compressed data remains useful for downstream processing and ML pipelines. You'll work directly with customers and partners, translate…
Added 1 min ago
LI
AI Data Engineer
Ladders Inc
New York City, NY
- $175,000 to $300,000 USD / year
Transform Data With AI: Build systems that convert raw information into powerful tools in hiring with AI.
Added 1 min ago
SO
Mechanical Engineer
Salas O'Brien
Madison, WI
- $85,000 to $110,000 USD / year
…consulting services. Our specialized experience includes design for data centers, healthcare, science and technology, high-rise buildings, clean energy, education, and other building types…
Added 1 min ago
SO
Mid-Level Mechanical Engineer
Salas O'Brien
Seattle, WA · Bozeman, MT
- $95,000 to $115,000 USD / year
Our Seattle, WA/ office is seeking an exceptional mid-Level Mechanical Engineer to join us as we continue with our strong growth. In this exciting role, you will focus on the design of…
Added 1 min ago
Product Manager (Forward-Deployed)
Ume Intelligence, Inc.
Remote, United States
…paired with hands-on digital operations that turn operational data into measurable…
Added 1 min ago
CA
Founding Engineer
Cascade AI
New York City, NY
- $150,000 to $250,000 USD / year
Our clients are the architects, engineers, and builders behind LaGuardia, JFK, Penn Station, nuclear reactors, data centers, and Ritz-Carltons and Four Seasons around the world. We help…
Added 2 mins ago
VA
Founding Engineer (Hybrid)
Voxology AI
Austin, TX
- $150,000 to $250,000 USD / year
We’re hiring a Founding Engineer to join us full-time on-site in Austin, TX. You’ll take end-to-end ownership of our technical roadmap, working closely with leadership to design, build, and…
Added 2 mins ago
VA
Founding Engineer
Voxology AI
Austin, TX
- $150,000 to $250,000 USD / year
We’re hiring a Founding Engineer to join us full-time on-site in Austin, TX. You’ll take end-to-end ownership of our technical roadmap, working closely with leadership to design, build, and…
Added 2 mins ago
AI Engineer
The Agency Fund
Remote, United States
…learn and adapt through experimentation, automation, and better data use. We are now looking for a seasoned software engineer to join our team (as a contract role), contributing expertise…
Added 3 mins ago
Software Engineer 2 – Wireless Access Point Development
Hewlett Packard Enterprise
Cupertino, CA · Sunnyvale, CA
…help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to…
Added 3 mins ago
Software Engineer 2 – Wireless Access Point Development
Hewlett Packard Enterprise
Cupertino, CA · Sunnyvale, CA
…help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to…
Added 3 mins ago
Founding Engineer, Agentic Systems
Champ AI
San Francisco, CA
We're looking for a Founding Engineer (Agentic Systems) to own core pieces of our agent runtime and developer/product surface area. You'll build the systems that let agents operate safely,…
Added 3 mins ago
Deployment Architect / Forward Deployed Engineer
Champ AI
San Francisco, CA
…operations leaders, standing up working agents against their data in days, and carrying the deal across the finish line. It's the highest-leverage seat in the building right…
Added 3 mins ago
Junior Full Stack Engineer
Co-Intelligence Labs
Austin, TX
As a Junior Fullstack Engineer, you'll contribute to our next-generation healthcare recommendation platform while learning from experienced engineers. You'll work across the technology…
Added 3 mins ago
Full Stack Engineer
Co-Intelligence Labs
Austin, TX
As a Fullstack Engineer, you'll own the complete technology stack of our next-generation healthcare recommendation platform. You'll build everything from elegant frontends to robust…
Added 4 mins ago
Senior/Staff/Principal Software Engineer
Ease Health
New York City, NY
Senior/Staff/Principal Software Engineer - Ease Health
Added 4 mins ago
Frontend Software Engineer
Ease Health
New York City, NY
Data pipelines processing claims and clinical records
Added 5 mins ago
Founding Robotics Perception Engineer
Greenlight Robotics
San Francisco, CA
We are looking for a Robotics Perception Engineer to build the perception stack of our product. Reporting directly to our Co-founder & CTO, you will write, review, and deploy software that…
Added 5 mins ago
Founding Motion Planning & Prediction Engineer
Greenlight Robotics
San Francisco, CA
We are looking for a Machine Learning Engineer to build the prediction and planning models of our product. Reporting directly to our Co-founder & CTO, you will own the training, validation,…
Added 5 mins ago
HA
Senior Software Engineer
HeyMilo AI
New York City, NY
- $160,000 to $250,000 USD / year
We're looking for a Senior Software Engineer (Core Platform & AI Insights) to optimize the quality of our insights and analysis, ensuring that our AI generates accurate, high-value hiring…
Added 5 mins ago
HA
Full Stack Software Engineer
HeyMilo AI
New York City, NY
- $120,000 to $200,000 USD / year
We're looking for a Senior Full-Stack Engineer who thrives in a fast-paced, highly dynamic environment. This role is all about quickly building and iterating on features, and working…

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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