Remote jobs in the United States

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Added 2 mins ago
VP of Engineering
Jobgether
Remote, United States
Full-Stack Engineering: Design, develop, test, and deploy end-to-end features across frontend, backend, and database systems. Work primarily with React, Python/Django, and PostgreSQL while…
Added 13 mins ago
Infrastructure Specialist
Kyndryl, Inc.
Remote, United States
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always…
Added 34 mins ago
AWS DevOps/Security Engineer Senior/Architect
Jobgether
Remote, United States
We are seeking a highly experienced AWS DevOps/Security Engineer Senior/Architect to design, build, secure, and operate enterprise-scale cloud environments. This role plays a critical part…
Added 1 hour ago
J
Technical Architect Senior
Jobgether
Remote, United States
- $201,950 USD / year
The Senior Technical Architect will lead the design and development of a comprehensive technology platform supporting fully automated transactional insurance solutions for single-risk…
Added 1 hour ago
Senior Technical Consultant - CTEM / Vulnerability Management Engineer
Jobgether
Remote, United States
…Senior Technical Consultant - CTEM / Vulnerability Management Engineer based in the United…
Added 1 hour ago
Principal Cybersecurity 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 Principal Cybersecurity Engineer based in the United States.
Added 1 hour ago
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Remote, United States
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 1 hour ago
J
Software Engineer Lead
Jobgether
Remote, United States
- $105,000 to $135,000 USD / year
As a Software Engineer Lead, you will oversee the design, development, and lifecycle management of enterprise software solutions supporting digital banking, financial applications, and…
Added 2 hours ago
SentinelOne 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 SentinelOne Engineer based in the United States.
Added 2 hours ago
Senior Software Engineer - Cloud SaaS - IE&A
Jobgether
Remote, United States
We are looking for an experienced Senior Software Engineer to help build and scale a new cloud-based SaaS platform from the ground up, serving the welding and fabrication industry. In this…
Added 2 hours ago
Senior Knowledge 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 Senior Knowledge Engineer based in the United States.
Added 2 hours ago
J
Senior Data Engineer
Jobgether
Remote, United States
- $130,000 to $200,000 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 Data Engineer based in the United States.
Added 2 hours ago
Cloud Security Engineer
Jobgether
Remote, United States
The Cloud Security Engineer will play a key role in strengthening and maintaining security across enterprise cloud environments, with a primary focus on AWS and Microsoft Azure, alongside…
Added 2 hours ago
J
Lead Site Reliability Engineer
Jobgether
Remote, United States
- $150,000 to $175,000 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 Lead Site Reliability Engineer based in the United States.
Added 3 hours ago
E
Software engineer
Element
Remote, United States
- $120,000 to $140,000 USD / year
We are seeking a passionate and talented Software Engineer to join our team in the United States. This role is perfect for individuals who are eager to apply their skills in a fast-paced…
Added 3 hours ago
Senior Backend Engineer - India
Lighthouz AI
Remote, United States
…agents. We help freight brokers, 3PLs, and factoring companies process invoices, rate confirmations, and PoDs in seconds - not hours - by replacing manual audits and brittle RPA with…
Added 3 hours ago
PP
QA Automation Engineer
Pecan POS
Remote, United States
- $90,000 to $111,000 USD / year
As a QA Automation Engineer, you will help ensure high product quality across our web and API systems by building scalable automated test coverage and continuously improving our testing…
Added 3 hours ago
S
Senior Software Engineer
Source
Remote, United States
- $155,000 to $175,000 USD / year
Senior Software Engineer (Backend or Full-Stack)
Added 3 hours ago
Senior Distributed Systems Engineer
OpenDataLabs
Remote, United States
We’re looking for a Distributed Systems Engineer to help design and build the scalable infrastructure powering data access and compute in the Vana network.
Added 3 hours ago
EA
Senior Product Engineer (India)
Elm AI
Remote, United States
- ₹3,500,000 to ₹7,000,000 INR / year
…relationships. Rather than waiting for someone to log in and push a process forward, Elm’s agents keep workflows active, current, and in…
Added 3 hours ago
RU
Data Engineer V - US
Rackspace US, Inc.
Remote, United States
- From $165,830 USD / year
Cloud Professional Data Engineer or ML Engineer certification.
Added 3 hours ago
Product Manager (Forward-Deployed)
Ume Intelligence, Inc.
Remote, United States
When an operational edge case occurs for a client, you resolve it immediately and engineer safeguards so it cannot happen again. When an operator executes the same workflow manually for the…
Added 3 hours 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 3 hours 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 3 hours 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. 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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