Jobs in the United States

25+ jobs

Save this search

Added 11 mins ago
ASIC Design Verification Engineer, Google TPU
Google
Sunnyvale, CA
…Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of…
Added 12 mins ago
Custom Application engineering Analyst Java Backend 6577060
Accenture Flex LLC Company
United States
As a Custom Software Engineer you will be responsible for developing custom software solutions to design code and enhance components across systems or applications. You will utilize modern…
Added 12 mins ago
Staff Project Engineer / Onsite / Chandler AZ
Kelly Services
Chandler, AZ
A leading global telecommunications and satellite communications company is hiring a Staff Project Engineer for a full-time opportunity onsite in Chandler, Arizona. This organization…
Added 12 mins ago
Senior FPGA Engineer / Onsite / Chandler
Kelly Services
Chandler, AZ
A leading global telecommunications and satellite communications company is hiring a Senior FPGA Engineer for a full-time opportunity onsite in Chandler, Arizona. This organization develops…
Added 12 mins ago
Software Engineer 1 – Finance Technology
Choice Hotels
Scottsdale, AZ
Choice Hotels, one of the world’s largest lodging franchisors, has an exciting new opportunity as our Software Engineer 1 in the Finance Technology Domain. The Finance Technology is the…
Added 12 mins ago
Principal Software Engineer – Guest Experience Site Reliability
Choice Hotels
Scottsdale, AZ
As a key member of this team, you will be the engineer people turn to when something complex breaks and the clock is ticking. You will dig into logs and telemetry, build the dashboards that…
Added 12 mins 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 12 mins ago
Senior IT Manager -Manufacturing Digital Transformation
Medtronic
Tempe, AZ
Solution Delivery & Implementation (Build) - Lead the design, development, implementation, and deployment of manufacturing IT solutions across multiple manufacturing sites. Ensure…
Added 12 mins ago
IG
Automation Engineer (Terraform)
Insight Global
Tucson, AZ
- $65 to $75 USD / hour
…initiative.We are seeking a hands‑on Cloud Automation & Infrastructure Engineer to join a small, highly technical platform team supporting enterprise‑scale infrastructure for SAP and…
Added 12 mins ago
R
2027 Summer Intern - Systems Engineer - Instrument Development
Roche
Tucson, AZ
- $25 to $46 USD / hour
Hands-on hardware development experience with on-market instruments. Concept generation, testing, and analysis of design solutions to address real problems while satisfying the needs of the…
Added 12 mins ago
Senior Frontend Engineer - Hashicorp Vault
IBM
TUCSON, AZ
…AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a…
Added 12 mins ago
Construction Support Manager - Nuclear Job Details | Black & Veatch Family of Companies
Black & Veatch
Phoenix, AZ
Support oversight of safety-related construction activities, including hold/witness points, inspections and tests, supplier/subcontractor compliance, design verification, and field changes.
Added 12 mins ago
C
Lead Data Engineer-Snowflake
Cognizant
Phoenix, AZ
- $115,000 to $135,000 USD / year
As a Lead Data Engineer – Snowflake , you will make an impact by designing and delivering scalable, high-performance data solutions that enable critical business insights and operational…
Added 12 mins ago
KC
Customer Engagement Applications Engineer (CHCEAEAZ)
KLA Corporation
Phoenix, AZ
- $163,200 USD / year
Added 12 mins ago
Sr Site Reliability Engineer -Remote US
SitusAMC
Phoenix, AZ
Collaborate with cross-functional teams to design and implement scalable and reliable solutions.
Added 13 mins ago
Advanced Systems Engineer
Honeywell Aerospace
Phoenix, AZ
As an Advanced Systems Engineer within Honeywell Aerospace, you will play a vital role in the design, development and implementation of cutting-edge Flight Display Systems and Avionics…
Added 13 mins ago
Watersheds & Stormwater Subdiscipline Leader Job Details | Black & Veatch Family of Companies
Black & Veatch
Phoenix, AZ
Together, we own our company, our future, and our shared success.
Added 13 mins ago
Platform Engineer - Remote
SitusAMC
Phoenix, AZ
Design and develop scalable stateful and stateless AWS applications using modern tools, cloud architecture, and software design patterns.
Added 13 mins ago
Senior Network Engineer
Cognizant
Phoenix, AZ
Cognizant is seeking a Senior Network Engineer to design, implement, secure, operate, and optimize enterprise datacenter, campus, branch, wireless, and hybrid-cloud networks. This role…
Added 13 mins ago
Software Engineer II
Amentum
Phoenix, AZ
The Software Engineer II will perform full stack development with C# program, ReactJS, MVC, Linq, and rest API development in NET Core platform. This position is US remote teleworking…
Added 13 mins ago
Software Engineer
Teradata
Phoenix, AZ
This position is for a Software Engineer in the POD Services team within the TD Factory team. The position involves development, integration, functional and performance testing, and fault…
Added 13 mins ago
Sr Advanced Systems Engineer
Honeywell Aerospace
Phoenix, AZ
As an Advanced Systems Engineer within Honeywell Aerospace, you will play a vital role in the design, development and implementation of cutting-edge Flight Display Systems and Avionics…
Added 13 mins ago
Community Resilience Subdiscipline Leader Job Details | Black & Veatch Family of Companies
Black & Veatch
Phoenix, AZ
Together, we own our company, our future, and our shared success.
Added 13 mins ago
Software Engineer, Infrastructure - Central Growth
Meta
Phoenix, AZ
Architect efficient and scalable systems that drive complex applications.
Added 13 mins ago
Java Software Engineer - Mid Level
USAA
Phoenix, AZ
As a dedicated Java Software Engineer - Mid Level, you will join a dynamic, startup-minded team within the Investment Experience Technology organization at USAA, part of the Technology…

Memory Bridge

Sr. ML Engineer

Remote, United States

IRR 800,000,000 to IRR 1,200,000,000 IRR / year

Apply About employer

Applications open in a new tab.

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.

Apply About employer

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

Report this job