Jobs in the United States

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Added just now
TB
Wankered Software Engineer
The Big Brother
Los Angeles, CA
- $450,000 to $575,000 USD / year
Design performant, beautiful, and usable interfaces
Added 1 min ago
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Founding Engineer
Shift
San Francisco, CA
- $150,000 to $210,000 USD / year
We’re hiring a Founding Engineer to build, ship, and own core parts of ShiftOS. You’ll be an essential founding engineer at the company, working directly with the CEO and CPO, and your code…
Added 1 min ago
SE
Founding Account Executive (Full-Cycle)
Scout Edu
New York City, NY
- $85,000 to $115,000 USD / year
Our first product, Scout SIS, is a student information system (SIS). At its core, the SIS a database for schools to store student and staff data. Every school has an SIS, but it’s one of…
Added 2 mins ago
Founding Engineer
Rumor
New York City, NY
…recommendations, and network graph. We’re looking for a Senior Founding Engineer to design and own the backend systems that make this…
Added 2 mins ago
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Senior Software Engineer
Source
Remote, United States
- $155,000 to $175,000 USD / year
As a Senior Software Engineer, you will play a pivotal role in driving technical excellence and product innovation. Your contributions will include:
Added 5 mins ago
CI
Software Engineer
Certive Inc.
Remote, United States
- $6,000 USD / month
As a Software Engineer, you will be one of the first people writing code at Certive. You will work directly with the founder on the core product - the integrations that pull license data,…
Added 5 mins ago
SH
Founding Product Engineer
Stealth Health Startup
San Francisco, CA
- $140,000 to $210,000 USD / year
Familiarity with healthcare compliance requirements (HIPAA) in product design
Added 5 mins ago
Machine Learning Engineer - Agentic solutions that move the music industry
Discovery
Remote, United States
…royalties, and ownership tracking work like they should. At the core of this? Clean data. Smart automation. And applied machine…
Added 5 mins 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 5 mins ago
Founding AI Engineer
Daylight Infrastructure
San Francisco, CA
…infrastructure development and software. We’re hiring a founding AI engineer to build the core intelligence layer of our…
Added 6 mins ago
EA
Senior Product Engineer (India)
Elm AI
Remote, United States
- ₹3,500,000 to ₹7,000,000 INR / year
We’re hiring a Senior Product Engineer to help build Elm AI's core product and agent workflows.
Added 7 mins ago
Senior Full-Stack Engineer
Matter Formula
New York City, NY · Miami, FL
This role is for an engineer who is genuinely AI-forward. You use AI tools every day to write, review, test, and ship code faster, and you know how to build AI-powered features that hold up…
Added 8 mins ago
M
Head of Frontend Engineering
Mobena
Remote, United States
- $180,000 to $220,000 USD / year
You will also work directly with the CEO, who created the core financial logic and collaborates on product design, and with the Head of Product Delivery, who coordinates client feedback and…
Added 9 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 10 mins ago
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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 10 mins ago
ML Compression Engineer
The Compression Company
San Francisco, CA
You will build the compression technology at the core of The Compression Company. You'll design and train neural compression models, improve compression ratio while preserving quality and…
Added 11 mins ago
Product Manager (Forward-Deployed)
Ume Intelligence, Inc.
Remote, United States
We are looking for a Forward-Deployed Product Manager to sit at the center of how Ume works: bridging our clients, our forward-deployed marketers, our founders, and our engineering team.
Added 11 mins ago
H
Fullstack Engineer
Haven
New York City, NY
- $120,000 to $200,000 USD / year
Collaborate with product and design to ship features that delight customers
Added 13 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 14 mins ago
Founding Engineer - Backend
Aida
Palo Alto, CA
We are seeking a talented Software Engineer with a focus on Backend development to join our dynamic team in Palo Alto, CA. As a Founding Engineer, you will play a pivotal role in shaping…
Added 14 mins ago
DN
Founding Senior Software Engineer
Double Nickel
Brooklyn, NY
- $190,000 to $220,000 USD / year
We're a small, fast-moving team that ships real product every week. We've grown 5x in the past year, and every feature we build has a direct line to someone getting hired.
Added 14 mins ago
Founding Mechanical Integration Engineer - Forward Deployed
Greenlight Robotics
San Francisco, CA
We are looking for a Mechanical Integration Engineer to step into a forward-deployed engineering role. Reporting directly to our Co-founder & CTO, you will design the mounts, interfaces,…
Added 15 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 15 mins ago
MB
Sr. Backend Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
Design and implement the core backend architecture supporting multi-tier memory storage (working, episodic, semantic), with appropriate data models and access patterns for each tier
Added 15 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…

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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