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Staff / Sr Principal Electrical Engineer
Northrop Grumman
Huntsville, AL
Senior Principal Electrical Engineer or Staff Principal Electrical Engineer position in the Huntsville Hardware Engineering functional department. This position will support one or more…
Added just now
Engineering Operations Leader
Koda Technologies Inc
Huntsville, AL
…Countermeasures Program Directorate (DTT) within the Chief Engineer / Targets Systems Engineering Division (DTTE). In this role, you will serve as the central operational integrator and…
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Planner II
Lumen
Montgomery, AL
Planning Engineer II is a remote-based full-time position, individual contributor who is part of the Local/ILEC Edge Planning team in Lumen’s North American Operations group.
Added 11 mins ago
Site Reliability Engineer- TS/SCI w/poly
GD Information Technology, Inc.
United States
Advance how our customers operate while you advance your career. Join GDIT as a Site Reliability Engineer tor and build an impactful career in enterprise IT, collaborating with people who…
Added 19 mins ago
Electrical Engineer - Quality & Testing
HTC Global Services Inc
Warren, MI
Job Title: Electrical Engineer – Quality & Testing Overview / Summary
Added 19 mins ago
Network Engineer III / Information Technologist III
Michigan State University
East Lansing, MI
…and leads infrastructure initiatives that support teaching, research, and business operations across the university. Reporting to the Network Planning Manager, the Network Engineer III will…
Added 20 mins ago
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Manufacturing Engineer - 1108
Quantinuum
Broomfield, CO
- $120,000 to $190,000 USD / year
We are seeking a Manufacturing Engineer in our Broomfield, CO, location.
Added 30 mins ago
Senior Software Engineer, Agentic Automations, Connect Sales AI, Google Ads
Google
Mountain View, CA
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 30 mins ago
Forward Deployed Engineer III, Data Cloud, Google Cloud
Google
San Francisco, CA · Austin, TX · Chicago, IL · Kirkland, WA · New York, NY · Seattle, WA · Sunnyvale, CA
As a Forward Deployed Engineer (FDE) on our Data Cloud team, you will be an embedded builder who bridges the gap between frontier data solutions and production-grade reality for customers.…
Added 43 mins ago
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Product Engineer (Remote - US CT/ET)
Zen Educate
Remote, United States
- $130,000 to $190,000 USD / year
We are a small, but mighty team and so every engineer has the opportunity to make an outsized impact and put their stamp on what excellence looks like in practice. What do I mean by…
Added 53 mins ago
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Software Engineer Intern - Summer 2027
PayPal
San Jose, CA · Chicago, IL · Omaha, NE · Scottsdale, AZ · Austin, TX
- $27 to $55 USD / hour
Software Engineer Interns at PayPal develop innovative solutions and high-quality products that touch millions of people every day. Our engineers solve some of the most complex technical…
Added 53 mins ago
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Machine Learning Engineer PhD Intern - Summer 2027
PayPal
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- $59 to $66 USD / hour
As a Machine Learning Engineer PhD Intern, you will work with experienced engineers, data scientists, and product teams to research, develop, and evaluate machine learning solutions. You’ll…
Added 53 mins ago
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Machine Learning Engineer Intern - Summer 2027
PayPal
San Jose, CA
- $50 to $59 USD / hour
Machine Learning Engineer Interns at PayPal help develop innovative AI and machine learning solutions that support products and services used by millions of people every day. Working across…
Added 59 mins ago
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ARCHEOLOGIST (CULTURAL RESOURCES SPECIALIST) - DIRECT HIRE AUTHORITY
Air Force Materiel Command
Kelly AFB, TX · Lackland AFB, TX
- $76,463 to $118,204 USD / year
Air Force Installation Mission Support Center //Air Force Civil Engineer Center (AFCEC)//Environmental Quality Division (CZQ).
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Supervisory General Engineer
U.S. Coast Guard
Norfolk County, VA
- $108,019 to $140,426 USD / year
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Biomedical Engineer
Veterans Health Administration
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Biomedical Engineer
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The Biomedical Engineer for Healthcare Technology Management Service at the Indianapolis VA Medical Center, provides biomedical engineering services to a complex, technically sophisticated,…
Added 1 hour ago
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Lab Engineer
Intel Corporation
OR
- $85,950 to $166,060 USD / year
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RF Lab Engineer
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Supervisory Engineer - Strategic Education Outreach Director
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Naval Surface Warfare Center, MD
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Data Center Technician, 3PDC
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Senior Staff Hardware Engineer Technical Lead, AI Infrastructure
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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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