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Added 2 mins ago
VP of Engineering
Jobgether
Remote, United States
Product Development and Technical Strategy: Lead the development of the first donation management platform for healthcare systems, replacing manual, email-based workflows. Build and…
Added 14 mins ago
Site Reliability Manager, Android SRE
Google
San Francisco, CA
To learn more: check out our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.
Added 14 mins ago
Senior Software Engineering Manager, AI/ML
Google
San Francisco, CA
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical…
Added 14 mins ago
Senior Staff Hardware Engineer Technical Lead, AI Infrastructure
Google
Sunnyvale, CA
This team is looking for engineers with exposure to fully integrated AI infrastructure systems, from Hardware to Software design and workload management. In this role, you will have…
Added 15 mins ago
Lead MV Electrical Engineer, PE - Power & Infrastructure
Monterra
Remote, United States
…to explain engineering decisions to non-specialists (e.g., software engineer teammates) and work closely with clients and…
Added 36 mins ago
Global AI Transformation & Solutions Lead
AFRY
Appleton, WI
…adoption, and from an individual use case to a repeatable AI product or…
Added 58 mins ago
IS
Quality Analyst Engineer - Senior
Information Systems
United States
- $120,000 to $135,000 USD / year
· Reporting results and making recommendations to key business stakeholders and groups on the quality of the product, software development lifecycle processes, and the risk of promoting the…
Added 1 hour ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Pierre, SD
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
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
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 1 hour ago
Principal Electrical Engineer
Oracle
Santa Clara, CA · Burlington, MA
…vertically integrated rack level solutions. As an Electrical Design Engineer focusing on Power design, you will be responsible for Power sub-system and board level architecture and detailed…
Added 1 hour ago
Full Stack Java Engineer
Miratech
Remote, United States
The role suits a hands-on engineer with strong software development fundamentals who can take features from detailed technical design through implementation, testing, deployment, and…
Added 2 hours ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Cheyenne, WY
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 2 hours ago
I
Member of Technical Staff, Product Security
Inferact
San Francisco, CA
- $200,000 to $400,000 USD / year
We're looking for a Member of Technical Staff, Product Security to secure the Inferact product as it moves from early deployments to production use by enterprise customers. Customers trust…
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
Sr. Engineer, Software Engineer (Test Automation Developer)
AB3 Nationwide Life and Annuity Insurance Co
OH · AZ · IA
…secure, and scalable quality-engineering solutions throughout the software delivery lifecycle. Brings expertise in automated testing, test strategy, CI/CD integration, defect analysis, and…
Added 2 hours ago
Consultant, Data Engineer - Reference Data Management
AB3 Nationwide Life and Annuity Insurance Co
OH · AZ
Product and fund data supports important business processes across Nationwide. In this role, you’ll help develop a governed reference data capability that makes this information easier for…
Added 2 hours ago
Senior Technical Engineering Leader - Guidewire PolicyCenter & Policy Lifecycle
MAPFRE Insurance
Webster, MA
…of critical policy administration capabilities that support product configuration, quoting, underwriting, policy issuance, endorsements, renewals, cancellations, and customer servicing…
Added 2 hours ago
IG
Software Engineer II
Insight Global
Marlborough, MA
- $70 to $75 USD / hour
Insight Global is seeking a Software Engineer II for a top medical technology client. This candidate will join a growing team supporting the development of an innovative digital diagnostics…
Added 2 hours ago
Staff Engineer - Software Engineering
Capital One
Cambridge, MA
As a Staff Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.
Added 2 hours ago
Power System Controls Engineer – Data Centers
Jacobs
Boston, MA
Jacobs’ Energy & Power business is seeking a Power System Controls Engineer to support conceptual planning, design, modeling, integration, and validation of Data Center controls ecosystem…
Added 2 hours ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Boston, MA
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 2 hours ago
Staff Software Engineer, Cloud ML Compute Services
Google
Kirkland, WA
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking…
Added 2 hours ago
TT
Product Engineer
True Talent Solutions Partners
Palo Alto, CA
- $185,000 to $205,000 USD / year
- Two to four years of experience as a product, frontend, or full-stack software engineer.

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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