Jobs in the United States

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Added 6 mins ago
Software Engineer (Founding Engineer)
Alex, Inc.
San Francisco, CA
- Strong foundation in algorithms and data structures
Added 7 mins ago
Machine Learning Engineer - Agentic solutions that move the music industry
Discovery
Remote, United States
We’re looking for a Machine Learning Engineer to help us weaponize messy rights data into structured, actionable intelligence. You’ll work directly with the founding team to build real-time…
Added 13 mins ago
LI
AI Data Engineer
Ladders Inc
New York City, NY
- $175,000 to $300,000 USD / year
Iterate on AI Approaches: Test and refine different prompt structures and data transformations to maximize results.
Added 18 mins ago
MB
Sr. ML Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
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…
Added 18 mins ago
MB
Sr. Backend Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
Collaborate closely with the ML engineer on the hybrid retrieval system, providing backend support for vector search, keyword search, and graph queries
Added 18 mins ago
Sr. Applied ML Engineer
Memory Bridge
Remote, United States
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…
Added 19 mins ago
Integration Engineer - Fintech Platform
Sonar Search
Remote, United States
Our client, a fast-growing fintech startup, is seeking an Integration Engineer to build and maintain critical data integrations for their financial analytics platform. Success in this…
Added 20 mins ago
Junior Software Engineer
Xpert Development
Remote, United States
We are looking for an enthusiastic Junior Software Engineer to join our growing engineering team.
Added 21 mins ago
Product & Platform Lead
Timber Platforms
Remote, United States
Reports to the Founder & CEO (Allan Meade), in close partnership with the Founding Full Stack Engineer, and Chief Operations Officer (COO).
Added 21 mins ago
Staff/Senior Backend Engineer
Casap
San Francisco, CA
Casap is looking for a talented Backend Engineer in San Francisco excited to supercharge how banks operate with a rapidly scaling product at the forefront of automation and Artificial…
Added 25 mins ago
M
Principal Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $165,600 to $331,200 USD / year
We are hiring a Principal Software Development Engineer to join the Azure PostgreSQL team, where you will work on and drive innovations in one or more areas of a relational database…
Added 25 mins ago
M
Software Engineer, Teamwork Experiences Internship Opportunities
Microsoft
WA · Redmond, WA · Redmond
- $5,690 to $12,250 USD / month
1+ year(s) of experience in developing and applying data structures and algorithms.
Added 26 mins ago
M
Senior Software Engineer
Microsoft
WA · CA · Redmond, WA · Mountain View, CA · Redmond · Mountain View
- $119,800 to $261,000 USD / year
We are looking for a Senior Software Engineer to build the telemetry and observability foundation behind business applications and emerging agent workloads. This is a hands-on software…
Added 28 mins ago
EG
Workday Adaptive Planning Engineer
Eliassen Group
Augusta, ME
- $65 to $75 USD / hour
Our client is seeking a Workday Adaptive Planning Engineer to design, build, and maintain financial planning and forecasting solutions. The role partners with FP&A, Accounting, and Finance…
Added 35 mins ago
EG
Workday Adaptive Planning Engineer
Eliassen Group
Honolulu, HI
- $65 to $75 USD / hour
Our client is seeking a Workday Adaptive Planning Engineer to design, build, and maintain financial planning and forecasting solutions. The role partners with FP&A, Accounting, and Finance…
Added 46 mins ago
RI
Principal Turbomachinery Engineer
Radiant Industries
El Segundo, CA
- $200,500 to $314,475 USD / year
Radiant is seeking a Principal Turbomachinery Engineer to serve as the Responsible Engineer for the turbomachinery within our nuclear-driven power generation system. This role owns the…
Added 47 mins ago
Software Engineer III - JAVA
ZIN Technologies
Brook Park, OH
As a Software Engineer on the SCaN Center for Engineering, Networking,
Added 47 mins ago
SAS Admin
US Tech Solutions
Tampa, FL
Under general supervision, the Associate Software Engineer reviews business requirements and information requests, existing programs, and file structures to complete the specified changes.…
Added 48 mins ago
VT
Senior Engineer (Part-Time)
VOR Technology
Fort Meade, MD
- Part-time
The Senior Engineer will be responsible for evaluating, testing, and documenting of NGMFA solutions.
Added 48 mins ago
Sr UI Engineer
Veredus - DC
Northern, VA
Veredus are currently seeking a talented Senior UI Engineer - Web Applications to join our client's growing team. For this position, prior experience developing scalable, rich, internet…
Added 48 mins ago
Systems Engineer Director
VOR Technology
Fort Meade, MD
VOR Technology is seeking a Systems Engineer Director who applies systems engineering principles throughout the systems life cycle. VOR Technology is searching for a candidate whose…
Added 48 mins ago
Full Stack Engineer
Workila
San Francisco, CA
Strong background with data structures and algorithms (CS/Mathematics deg)
Added 48 mins ago
Principal Emulation and Validation Engineer
WinMax Systems Corporation
San Jose, CA
o Excellent structured programming skills, data structures, algorithms, SCM for large complex SW projects. Automation experience is a plus.
Added 48 mins ago
Software Engineer (Python, RoR)
Veredus - DC
Herndon, VA
Our client- a Product firm is currently searching for a Software Engineer. The company is achieving explosive growth and is emerging as a leading in Digital Analytics.
Added 48 mins ago
Senior Civil-Environmental Engineer
Wisestep
Plattsburgh, NY
Seeking a Civil Engineer to join our growing Plattsburgh, NY office. You will be responsible for completing technical activities on assigned civil engineering projects for public and…

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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