Jobs in the United States

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Added 1 min ago
SO
Mechanical Engineer
Salas O'Brien
Madison, WI
- $85,000 to $110,000 USD / year
…well as structural and building sciences, infrastructure asset management, advanced robotics, and…
Added 5 mins 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 5 mins ago
MB
Sr. Backend Engineer
Memory Bridge
Remote, United States
- IRR 800,000,000 to IRR 1,200,000,000 IRR / year
Collaborate closely with the ML engineer on the hybrid retrieval system, providing backend support for vector search, keyword search, and graph queries
Added 5 mins 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…
Added 6 mins ago
Senior DevOps Engineer
Ngo Consulting Partners
Remote, United States
We’re seeking an experienced Senior DevOps Engineer to maintain and expand our multi-cloud infrastructure, provide on-call support, and collaborate closely with our engineering team through…
Added 6 mins ago
NC
Junior Software Engineer (QA & Automation)
Ngo Consulting Partners
Remote, United States
- $28 to $38 USD / hour
This role is ideal for an early-career engineer excited to work on AI and data-driven products. You’ll help ensure the accuracy, consistency, and reliability of our systems while learning…
Added 6 mins ago
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Data Engineer
Remote, United States
- $120,000 to $130,000 USD / year
Knowledge of data governance, master data management, and data quality frameworks.
Added 6 mins ago
BigData Engineer / Architect
Nitor Infotech
Portland, OR
Foundational data management concepts - RDM and MDM
Added 7 mins ago
Sales and Marketing Intern
Sigma Growth Specialists
Remote, United States
…individual who wants to understand how to master stakeholder management. This is an opportunity to develop your skills from the growth driver of any organization, sales and marketing. On…
Added 7 mins ago
Integration Engineer - Fintech Platform
Sonar Search
Remote, United States
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Added 7 mins ago
Principal Agentic AI Security Engineer
HPE
Spring, TX
The Agentic AI Engineer is responsible for designing, building, and operating production-grade agentic systems that combine foundation models, software services, enterprise data, tools, and…
Added 7 mins ago
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Electrical Engineer - Subsea Motion Control & Power Electronics
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San Diego, CA
- $125,000 to $150,000 USD / year
We are seeking an experienced Electrical Engineer to join an innovative engineering team developing advanced electromechanical systems for demanding subsea applications. This is an…
Added 8 mins ago
AI Scientist / Engineer (Data Science & Analytics)
Cinter Career
Plano, TX
・Knowledge of FinOps, AI governance, and enterprise technology portfolio management is preferred.
Added 8 mins ago
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Software Engineer, AI & Automation
Ace Marketing Services, Inc.
Winter Park, FL
- $55 to $65 USD / hour
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Added 13 mins ago
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Software Engineer, Teamwork Experiences Internship Opportunities
Microsoft
WA · Redmond, WA · Redmond
- $5,690 to $12,250 USD / month
…applications at scale. This opportunity will allow you to expand your knowledge of modern AI technologies while helping shape the future of software development and user…
Added 13 mins ago
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Senior Mechanical Engineer
Microsoft
NC · Charlotte, NC · Charlotte
- $119,800 to $261,000 USD / year
The Senior Mechanical Engineer is responsible for ensuring the safe, reliable, efficient, and compliant operation of critical mechanical infrastructure within Microsoft data centers in the…
Added 16 mins ago
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AMHS Intelligent Systems Engineer
Intel Corporation
OR
- $128,880 to $211,200 USD / year
Project Management: Complete equipment qualification in accordance with the appropriate qual specifications, contribute to global knowledge revisions based on ongoing learning and lessons…
Added 22 mins ago
Integration Services Senior Engineer
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Pearl Harbor, HI
· Knowledge of Project Management disciplines. Possess a PMP certification.
Added 22 mins ago
Entry-Level Substation Drafter
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Honolulu, HI · Hilo, HI
WSP brings global expertise in power delivery, power generation, and program management - anchored by the acquisition of POWER Engineers, Inc. TRC Companies have now joined WSP, deepening…
Added 23 mins ago
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Workday Adaptive Planning Engineer
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Honolulu, HI
- $65 to $75 USD / hour
Our client is seeking a Workday Adaptive Planning Engineer to design, build, and maintain financial planning and forecasting solutions. The role partners with FP&A, Accounting, and Finance…
Added 26 mins ago
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Chalk Bluff - Advanced Solar Technician
Invenergy Services LLC
Heth, AR
- $41.51 to $49.97 USD / hour
Perform vegetation management, up to operating large equipment to maintain the site per the vegetation management plan.
Added 29 mins ago
Civil Engineer
Civil Recruit
Morristown, TN
Complete Construction is seeking an experienced and motivated Civil Engineer to join its team. This position is ideal for someone who enjoys combining technical engineering knowledge with…
Added 29 mins ago
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Software Engineer (Austin)
Austin, TX
- $6,400 to $7,900 USD / month
…FileNet for secure document storage, retrieval and lifecycle management. Must have the ability to communicate in a professional, customer-focused…
Added 34 mins ago
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Xinnovit is a global leader in technology consulting, outsourcing, and workforce management solutions.
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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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