Jobs in the United States

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Added 3 mins ago
AI Automation Architect - Manufacturing and MES processes- Remote
Cognizant
Juneau, AK
…fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products…
Added 3 mins ago
Software Engineer, Infrastructure - Central Growth
Meta
Juneau, AK
Software Engineer, Infrastructure - Central Growth Responsibilities:
Added 33 mins ago
Staff Software Engineer, Agentic, Optimization, Recursive Self-Improvement
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 33 mins ago
Staff Software Engineer, Accelerators Systems Platforms Software Architect
Google
Sunnyvale, 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 52 mins ago
AWS DevOps/Security Engineer Senior/Architect
Jobgether
Remote, United States
…next steps. Our partner is looking for an AWS DevOps/Security Engineer Senior/Architect based in the United…
Added 1 hour ago
J
Technical Architect Senior
Jobgether
Remote, United States
- $201,950 USD / year
At least 5 years of professional experience as an Information Systems Architect, Technical Architect, Software Engineer, Enterprise Systems Architect, or in a closely related position.
Added 1 hour ago
Principal Electrical Engineer
Oracle
Santa Clara, CA · Burlington, MA
Oracle's Hardware Development Organization seeks to add an experienced On-Board Power Engineer to work within our Server Development team in Santa Clara, California or in Burlington MA. As…
Added 2 hours ago
Senior Technical Engineering Leader - Guidewire PolicyCenter & Policy Lifecycle
MAPFRE Insurance
Webster, MA
Architect and implement integrations between PolicyCenter and internal/external platforms.
Added 3 hours ago
Senior Design Manager (Data Center)
Jacobs
Chandler, AZ
Professional Engineer (PE), Registered Architect (RA), or similar credential.
Added 3 hours ago
Full-Stack Mobile Software Engineer
Spirit AI
Alexandria, VA · Arlington, VA · Fairfax, VA · Tysons, VA · Washington, DC
We’re looking for a Full-Stack Mobile (and Web!) Engineer who can take Spirit from prototype to production. You’ll architect and build our cross-platform mobile app (iOS & Android),…
Added 3 hours ago
JR
Founding Engineer
JumpStars Rocket Roles
San Francisco, CA
- $130,000 to $200,000 USD / year
Join us as a Founding Engineer and help build something meaningful from the ground up. You'll work closely with our founders to develop the core product, shape our team culture, and guide…
Added 3 hours ago
Founding Software Engineer
Perceptis AI
Everett, WA · San Francisco, CA · Seattle, WA · Sunnyvale, CA
Added 3 hours ago
SD
Hardware Product Designer
Shelter Devices
San Francisco, CA
- $100 to $110 USD / hour
Re-architect internals as the BOM evolves: new sensor and RF technologies, audio system.
Added 3 hours ago
S
Senior Platform / Infra Engineer
Skylink
New York City, NY
- $150,000 to $190,000 USD / year
You are a rockstar engineer who loves to build complex products and systems from the ground up. You are a team player who enjoys collaborative environments but is not afraid to voice their…
Added 3 hours ago
C
Founding Engineer, Backend + Infra
Clarity
San Francisco, CA
- $150,000 to $200,000 USD / year
…and correctly every single day and we’re hiring a Founding AI engineer to help lead these backend…
Added 3 hours ago
Sr Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government
Amazon Web Services, Inc.
Jessup, MD · Arlington, VA · Seattle, WA · New York, NY · Denver, CO · Herndon, VA
A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering…
Added 3 hours ago
Sr Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government
Amazon Web Services, Inc.
Jessup, MD · Arlington, VA · Seattle, WA · New York, NY · Denver, CO · Herndon, VA
A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering…
Added 3 hours ago
SH
Founding Data Engineer
Stealth Health Startup
San Francisco, CA
- $145,000 to $215,000 USD / year
As we scale, your responsibilities will evolve. You'll have the opportunity to grow into engineering leadership, architect data systems for millions of patients, mentor new hires, and own…
Added 3 hours ago
Full Stack SWE
Discovery
Remote, United States
As an early engineer, you’ll help architect and build the core systems powering our metadata and royalties platform. You’ll work across the stack - building elegant UIs and robust APIs,…
Added 3 hours ago
Software Engineer
Love Mobile
Remote, United States
Architect, document, and secure RESTful or GraphQL services (Node.js/Python).
Added 3 hours ago
Growth & MarTech Engineer
Love Mobile
Remote, United States
Architect, document, and secure RESTful or GraphQL services (Node.js/Python).
Added 3 hours ago
TH
Founding Engineer
Tally HQ
San Francisco, CA
- $150,000 to $200,000 USD / year
As Founding Full-stack Engineer at Tally, you’ll play a crucial role in building the initial product experience and APIs, agentic systems, and internal tools to transform a massive tax and…
Added 3 hours 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 3 hours 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 3 hours ago
Deployment Architect / Forward Deployed Engineer
Champ AI
San Francisco, CA
We're looking for a Deployment Architect / Forward Deployed Engineer to own the path from "first customer call" to "signed contract and live in production." You'll sit next to our…

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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