Remote jobs in the United States

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Added 4 mins ago
Software Engineer Senior (AWS Group)
Pathward, N.A.
Remote, United States
…about the specific salary for your location during the hiring process. Ranges may be modified in the…
Added 6 mins ago
Sr. Solutions Consultant
Sprinklr
Remote, United States
Experience Solutions Consultant/Sales Engineer with experience in a role at a SaaS company working with Enterprise clients
Added 20 mins ago
C
Lead Engineer, Member Growth
Circle
Remote, United States
- $162,000 USD / year
We’re looking for a Lead Engineer to own Analytics and Member Growth. This is a hands-on role. You’ll write a lot of the code, make the hard technical calls, and lead a small team of…
Added 22 mins ago
P
Quality Assurance Engineer
ProphetX
Remote, United States
- $80,000 to $110,000 USD / year
As a QA Engineer, you will be a generalist who supports quality across the platform. You will validate new features, run regression cycles, test APIs and backend behavior, and help decide…
Added 30 mins ago
AI Engineer
CACI, INC.-FEDERAL
Remote, United States
We are seeking an AI Engineer to build, test, and support AI workflows and agents on an enterprise AI workflow management platform supporting the Department of the Air Force. You will work…
Added 35 mins ago
Senior Back-End Engineer - LATAM
Virtasant
Remote, United States
Develop and support data services and pipelines that process, transform, and make operational data available to the platform.
Added 43 mins ago
Lead Director Product Membership
Oak Street Health MSO LLC
Remote, United States
…missed retention touchpoints, roster reconciliation delays) and engineer automated software…
Added 1 hour ago
Senior Technical Support Engineer, Integration
Pegasystems
Remote, United States
Pega is changing the way the world builds software. The Technical Support Engineer (TSE) is a key technical role within Global Client Support (GCS) and the first point of contact to…
Added 2 hours ago
🌎 Frontend / UI Engineer, Remote- Contract
Xperteez Technology
Remote, United States
Added 2 hours ago
Mechanical Engineer
Motive
Remote, United States
As a Mechanical Engineer at Motive, you will lead mechanical design and development for automotive-grade connected-device products, with a focus on connector and ruggedized waterproofing…
Added 2 hours ago
J
Sr. Systems Engineer – AI Gateway Platform
Jobgether
Remote, United States
- $125,000 to $180,000 USD / year
…applications and next steps. Our partner is looking for a Sr. Systems Engineer – AI Gateway Platform based in the United…
Added 3 hours ago
Staff Machine Learning Engineer - Edge AI
Samsara
Remote, United States
…ML infrastructure for Samsara. As a Staff Machine Learning Engineer, you will be working with petabyte-scale sensor, diagnostic, video, and text data to solve critical problems for Physical…
Added 3 hours ago
J
Senior Software Back End Engineer
Jobgether
Remote, United States
- $122,275 to $165,431 USD / year
…steps. Our partner is looking for a Senior Software Back End Engineer based in the United…
Added 3 hours ago
J
Security Engineer, Vulnerability Management
Jobgether
Remote, United States
- $200,000 to $300,000 USD / year
…applications and next steps. Our partner is looking for a Security Engineer, Vulnerability Management based in the United…
Added 3 hours ago
Technical Support Engineer (CS)
Jobgether
Remote, United States
The Technical Support Engineer will play a key role in helping enterprise customers successfully adopt and operate a platform that connects AI agents and human users with business systems…
Added 3 hours ago
J
Senior Machine Learning Engineer
Jobgether
Remote, United States
- $134,400 to $168,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Machine Learning Engineer based in the United States.
Added 4 hours ago
J
Vice President, Cloud Platform Engineer
Jobgether
Remote, United States
- $150,000 to $175,000 USD / year
…Our partner is looking for a Vice President, Cloud Platform Engineer based in the United…
Added 4 hours ago
Senior Staff Software Engineer, Android & IoT
Jobgether
Remote, United States
…next steps. Our partner is looking for a Senior Staff Software Engineer, Android & IoT based in the United…
Added 4 hours ago
Integration System Engineer IV
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Integration System Engineer IV based in the United States.
Added 4 hours ago
J
Field Implementation Engineer
Jobgether
Remote, United States
- $95,500 to $149,200 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Field Implementation Engineer based in the United States.
Added 7 hours ago
Test Manager - Output/CCM/Document Management Systems
Jobgether
Remote, United States
The position may potentially be combined with a 50% Test Engineer assignment.
Added 7 hours ago
Sr. Software Integration Engineer
Ultima Genomics
Remote, United States
We are looking for a highly motivated Senior Software Integration Engineer to join our team!
Added 7 hours ago
Lead Systems Design Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Systems Design Engineer based in the United States.
Added 7 hours ago
Lead AI Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead AI Engineer based in the United States.
Added 7 hours ago
J
Full-Stack Platform Engineer
Jobgether
Remote, United States
- $190,000 to $215,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Full-Stack Platform Engineer based in the United States.

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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