Jobs in the United States

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Added 1 min ago
DS
(1116127) Energy Electronics Software Engineer
Diversified Services Network, Inc.
Peoria, IL
- $94,000 to $100,000 USD / year
The Energy Electronics Software Engineer focuses on software-in-the-loop testing and automation for embedded electronic control systems supporting diesel engine programs. This position is…
Added 8 mins ago
SS
Windows Systems Engineer
Samsung SDS America
Plano, TX
- $135,000 to $147,000 USD / year
We are seeking a Senior Microsoft Exchange and Active Directory Engineer to design, implement, maintain, and optimize enterprise messaging and directory services to ensure secure, highly…
Added 8 mins ago
SS
VMWare Engineer
Samsung SDS America
Plano, TX
- $156,000 to $166,000 USD / year
We are seeking a VMware Engineer to manage, maintain, and optimize enterprise virtualized environments, including VMware ESXi, vCenter, Horizon View, and end-user virtual desktop…
Added 11 mins ago
ER
Systems Architect - Manning - Information Systems Systems
El Rio Community Health Center
Tucson, AZ
- $47.06 to $77.6 USD / hour
Includes all duties of Senior technical staff (Systems Analyst, Systems Engineer, Network Technician, Network Engineer, etc.), as appropriate.
Added 21 mins ago
AW
IT Infrastructure Engineer II
ANDREW WOMMACK MINISTRIES INC
Woodland Park, CO
- $6,500 to $7,501 USD / month
The IT Operations Engineer II supports the planning, engineering, deployment, and maintenance of secure, scalable, and reliable technology solutions across multiple departments and…
Added 25 mins ago
Senior Robotics Engineer
Azalea Robotics Corporation
Berkeley, CA
As a Senior Robotics Engineer at Azalea Robotics, you will own core autonomy software end to end: from the localization, mapping, and steering that drive the mobile bases in our ARC 1…
Added 25 mins ago
Backend LLM Engineer
Berrie AI Inc
Berkeley, CA · Burlingame, CA · Campbell, CA · Cupertino, CA · Emeryville, CA · Foster City, CA · Fremont, CA · Menlo Park, CA · Milpitas, CA · Mountain View, CA · Oakland, CA · Palo Alto, CA · Redwood City, CA · San Francisco, CA · San Jose, CA · San Mateo, CA · Santa Clara, CA · Sunnyvale, CA
…Lemonade, and Adobe. We’re rapidly expanding and seeking our 6th Engineer focused on owning ‘excellence’ for unified API’s across Core LLM’s (openai/gemini/anthropic…
Added 26 mins ago
Engineer I: Aftermarket Development Program (ADP)
RTX
United States
Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join…
Added 27 mins ago
Associate AI Engineer
Core VC
Los Angeles, CA
You'll ship quickly and experiment aggressively. Complex systems are built on simple, reliable ones, and we've spent a lot of time building that foundation. Now we want to see how far we…
Added 27 mins ago
Data Engineer
Deep Digital Solutions Group
United States
Job Description: Deep Digital are seeking a highly skilled and experienced Senior Data Engineer with a proven track record in successfully implementing, optimizing, and maintaining the data…
Added 28 mins ago
ER
Backend Engineer (Golang)
Enhanced Radar
San Francisco, CA
- $150,000 to $280,000 USD / year
Enhanced Radar is hiring a backend engineer as engineer no. 3.
Added 29 mins ago
O
Director of Strategic Communications
OpenMined
Remote, United States
- $139,000 to $245,000 USD / year
…open-source software lets outside researchers examine and evaluate AI systems without exposing private data, and our work with frontier AI labs, governments and researchers is reaching a…
Added 32 mins ago
Engineering Manager
Kyoto Fusioneering America
Oak Ridge, TN
Kyoto Fusioneering (KF) is the world’s premier fusion technology and integrated systems provider, delivering critical-path technologies required for commercial fusion power. We specialize…
Added 33 mins ago
Senior Backend Engineer - India
Lighthouz AI
Remote, United States
We're looking for a Backend Engineer with familiarity with front end tech to join our fast-growing engineering team. You'll play a key role in building and scaling the core infrastructure…
Added 33 mins ago
Head of Forward Deployed Engineering
Newcode.ai
Chicago, IL
Newcode helps legal organizations build, govern, and deploy AI workflows connected to their knowledge and existing systems. Our Aurora workflow platform enables teams to turn firm expertise…
Added 33 mins ago
Z
Software Quality Engineer
ZipLiens
Franklin, TN
- $77,000 to $104,000 USD / year
…funds more quickly and accurately. We are looking for a quality engineer who is passionate about building the testing and evaluation that keeps complex, data-heavy products working…
Added 33 mins ago
Associate Director, Power Systems Engineering
Scout Clean Energy
Boulder, CO
o Power Systems Engineer (BESS & Power Conversion Systems)
Added 33 mins ago
Senior Director, Engineering
Scout Clean Energy
Boulder, CO
The Senior Director oversees both the Civil & Design Engineering team and the Power Systems Engineering team, and is accountable for engineering standards, technical quality, design…
Added 33 mins ago
Forward Deployed Engineer
Newcode.ai
Chicago, IL
Newcode helps legal organizations build, govern, and deploy AI workflows connected to their knowledge and existing systems. Our Aurora workflow platform enables teams to turn firm expertise…
Added 34 mins ago
Software Engineer - Founding Team
Onyx Odds
New York City, NY
…team to build, own, and scale the core product. As a Software Engineer, you’ll have end-to-end responsibility across the stack, significant product input, and the opportunity to shape both…
Added 35 mins ago
Founding Software Engineer
Perceptis AI
Everett, WA · San Francisco, CA · Seattle, WA · Sunnyvale, CA
Added 35 mins 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 35 mins ago
MN
Engineer - Life Safety Systems & Telecom (NY)
Micron New York Semiconductor Manufacturing LLC
Clay, NY
- $82,000 to $169,000 USD / year
As a Fire Alarm / Life Safety Systems Engineer, you will provide technical leadership for life-safety systems across construction projects. You will independently evaluate developments,…
Added 36 mins ago
RI
Software Engineering Manager
RightSourcing IT
San Francisco, CA
- $187,000 to $315,000 USD / year
…technical leadership role where you will architect foundational systems, guide engineering standards, and actively contribute code while building and developing a high-performing…
Added 36 mins ago
RH
Founding Engineer (AI / Full Stack)
Rovi Health
New York City, NY
- $150,000 to $220,000 USD / year
We’re serving thousands of users today and heading toward hundreds of thousands. You’ll build the systems, data models, and integrations that can support that scale while still letting us…

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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