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Added 2 mins ago
Senior Full-Stack Engineer
Matter Formula
New York City, NY · Miami, FL
We're looking for a senior full-stack engineer to help build the Matter consumer app: our AI nutrition coach, tracking and personalization features, and the ordering experience that…
Added 4 mins ago
Senior Principal Software Engineer (Python) – Founding Engineer - Seattle
Solvin AI
WA · Seattle, WA
As a Founding Engineer, you will be a cornerstone of our technical team. You will have a pivotal role in designing, building, and deploying the foundational elements of our product. We're…
Added 9 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 10 mins ago
Senior Data Engineer
Marble Technologies
Lincoln, NE · Omaha, NE · Cambridge, MA
As a Senior Data Engineer at Marble, you will own the design and performance of data pipelines that power everything from real-time classification dashboards to ML training datasets to…
Added 10 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 10 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 10 mins ago
Senior DevOps Engineer
Ngo Consulting Partners
Remote, United States
We’re seeking an experienced Senior DevOps Engineer to maintain and expand our multi-cloud infrastructure, provide on-call support, and collaborate closely with our engineering team through…
Added 10 mins ago
Senior Software Engineer
Catapult Consultants, LLC
Henrico, VA
Catapult Consultants is seeking a Senior Software Engineer to support the engineering, analysis, design, development, programming, and maintenance of custom software programs according to…
Added 11 mins ago
Senior/ Staff Software Engineer, Platforms
Sagora
Boston, MA
…research, Sagora is the autonomous engineering platform for AI systems. We compress weeks of expert engineering into hours, continuously improving the performance, cost and quality of…
Added 12 mins ago
Senior Generative AI Engineer / Architect
Cinter Career
Plano, TX
・Job Title: Senior Generative AI Engineer / Architect
Added 14 mins ago
Staff/Senior Backend Engineer
Casap
San Francisco, CA
Take ownership of upgrading coding practices, CI/CD pipelines, deployed systems, backend programming languages, and third-party dependencies to enhance system performance and security.
Added 17 mins ago
M
Senior Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
We are seeking a highly skilled and committed Senior Software Engineer to join our team. This role is central to advancing our quantum software roadmap and requires passion for software…
Added 17 mins ago
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Senior Software Engineering Manager
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
We are seeking a Senior Software Engineering Manager to help shape the future of Microsoft’s AI talent and build transformative, AI-powered experiences for our customers.
Added 17 mins ago
M
Senior Mechanical Engineer
Microsoft
NC · Charlotte, NC · Charlotte
- $119,800 to $261,000 USD / year
The Senior Mechanical Engineer is responsible for ensuring the safe, reliable, efficient, and compliant operation of critical mechanical infrastructure within Microsoft data centers in the…
Added 18 mins ago
M
Senior Cloud Network Engineer
Microsoft
United States
- $119,800 to $261,000 USD / year
As a Senior Cloud Network Engineer in the Azure Dedicated Team, you will design and operate Network Fabrics for both traditional ethernet networks and back-end networks such as RDMA and…
Added 19 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 20 mins ago
IC
AMHS Intelligent Systems Engineer
Intel Corporation
OR
- $128,880 to $211,200 USD / year
We are seeking an experienced Manufacturing Systems Software Development Engineer to take ownership of real-time cleanroom automation architectures, high-availability control software, and…
Added 27 mins ago
Integration Services Senior Engineer
Leidos
Pearl Harbor, HI
We are seeking a highly motivated and experienced Senior Network Engineer onsite at Ford Islan, Hawaii. In this Integration Services role, you will lead a team of engineers, perform project…
Added 33 mins ago
J
Software Engineer (Austin)
Austin, TX
- $6,400 to $7,900 USD / month
The Software Engineer (Programmer IV) performs advanced (senior-level) computer programming and full lifecycle software development. Responsibilities involve driving projects from…
Added 40 mins ago
HP-UX Engineer
US Tech Solutions
Jersey City, NJ
Supports operational activities such as level three system support, root cause analysis, systems validation, performance tuning and capacity management. Works with Operations staff to…
Added 40 mins ago
Senior Systems Engineer
VOR Technology
Fort Meade, MD
The Senior Systems Engineer will provide design, integration, test, deployment, and sustainment support to customer systems. This position requires occasional travel to OCONUS areas.
Added 40 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 40 mins ago
Software engineer(automation)
US Tech Solutions
Schaumburg, IL
· Senior level software development engineer to translate business and functional requirements into runbook application solutions. The candidate will be able to convert functional…
Added 40 mins ago
Sr. Cloud Architect
Veredus - DC
Vienna, VA
…platforms must be architected to meet 100% uptime SLAs. New systems must be built with local and geographic redundancy. Responsibilities • Visionary in the pursuit of cost effective, high…
Added 41 mins ago
Software Engineer
Third Party Technologies Inc.
Portland, OR
Our growing Fintech startup seeks a mid-senior software engineer to join the team. You’ll be working on a small team of self-starters helping to power the next generation of financial…

Memory Bridge

Sr. ML Engineer

Remote, United States

IRR 800,000,000 to IRR 1,200,000,000 IRR / year

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Job details

Pay: IRR 800,000,000 to IRR 1,200,000,000 IRR / year
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

ما به سراغ یکی از چالش‌برانگیزترین مسائل هوش مصنوعی رفته‌ایم: اینکه چطور می‌توان با کمترین خدشه‌ به حریم خصوصی کاربران، حافظه‌ای بی‌نقص برای مدل‌های زبانی بزرگ فراهم کرد.

اگر شما یک مهندس یادگیری ماشین باتجربه هستید که فراتر از آموزش‌های سطحی در زمینه‌ی بازیابی تقویتی با کمک تولید فکر می‌کنید و باور دارید ساخت یک سیستم حافظه‌ی واقعی و قابل اتکا در دنیای واقعی، قبل از هر چیز نیاز به مهارت عمیق در مهندسی نرم‌افزار دارد، جای شما در تیم ما خالی است. در این نقش، شما مسئول طراحی و پیاده‌سازی موتور مرکزی بازیابی اطلاعات خواهید بود که تجربه‌ی کاربران را در گفتگوهای شخصی‌سازی‌شده فیلتر و به‌روزرسانی می‌کند. اگر تجربه‌ی برنامه‌نویسی حرفه‌ای دارید، در مسیر پردازش زبان طبیعی/یادگیری ماشین رشد کرده‌اید، ما مشتاق شنیدن از شما هستیم. --- 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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