Staff ML Engineer, Search Job at Harmonic (New York)

Senior Staff Data Engineer- ML & AI Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
Deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
Strong background in building automated pipelines and ensuring system observability
Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
Solid experience serving models at low latency and high concurrency using containerized solutions
Ability to speak the language of AI/ML Engineers and effectively bridge the gap between experimental code and production systems

Job Responsibility

Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
Act as a first mover, validate new Databricks features and integrate them into the platform
Write the guidelines for GenAI development, helping teams transition from notebook experiments to production-grade LLM applications
Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A collaborative environment with an opportunity to explore your potential and grow

Fulltime

Senior Staff Software Engineer

As a Senior Staff Engineer, you will be a technical leader responsible for shapi...

Location

India

Salary:

Not provided

Bloomreach

Expiration Date

Until further notice

Requirements

8–12+ years of professional software engineering experience, with deep expertise in backend and distributed systems
Strong, hands-on experience building large-scale Search or Information Retrieval systems
Deep expertise in search relevance, ranking, and query/catalog understanding
Proven experience designing and operating distributed, low-latency systems at scale
Strong coding skills in Java and/or Python, with a focus on production-quality, maintainable systems
Experience working in cloud environments (AWS or GCP) and modern deployment platforms
Ability to lead technical initiatives across teams and influence without direct authority
Clear, effective communicator able to explain complex technical concepts and tradeoffs

Job Responsibility

Own and evolve core Search architecture, spanning indexing, retrieval, ranking, and query-time execution
Lead design and execution of large, cross-cutting search initiatives across multiple teams and services
Drive technical strategy for search relevance and ranking systems, balancing precision, recall, latency, and cost
Partner with Applied Science and ML teams to productionize ranking models and semantic retrieval techniques
Ensure search systems meet strict latency, availability, and scalability SLAs under real-world traffic
Act as a technical mentor and multiplier, raising the bar through design reviews, code reviews, and technical coaching
Influence roadmap and prioritization by articulating clear technical tradeoffs and long-term platform implications
Serve as a technical escalation point for complex production and architecture decisions

What we offer

A great deal of freedom and trust
Flexible working hours
Work virtual-first with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer
People Development Program
Communication coach available
Leader Development Program
$1,500 professional education budget annually
Employee Assistance Program with counselors

Fulltime

Staff Software Engineer

The Discovery team sits at the core of Harmonic’s product and data engine. We ma...

Location

United States , New York

Salary:

210000.00 - 280000.00 USD / Year

Harmonic

Expiration Date

Until further notice

Requirements

7-8+ YoE building distributed systems or large scale backend architecture
Designed and scaled search, recommendation, or ranking systems that balance precision, recall, and performance
Led or heavily contributed to ML or LLM integrations in production
A track record of technical leadership mentoring others, introducing frameworks, and influencing technical direction
Strong experience with data-intensive systems, asynchronous processing, or event-driven architectures

Job Responsibility

Architect the core intelligence behind Scout
Own the end to end architecture of our sourcing engine from data ingestion, ranking, personalization, and model orchestration
Define scalable frameworks for retrieval, reranking, and LLM driven evaluation to ensure we deliver highly personalized and high quality results
Create architectural patterns that integrate Scout seamlessly with our existing products to power repeatable sourcing workflows
Lead agentic experimentation and evaluation
Drive technical discovery for emerging technologies (e.g. memory systems, schema, prompt libraries, embedding models, and agentic frameworks)
Improve and extend our evaluation pipelines to test new models and determine lifts in specific parts of our product
Build systems that allow fast iteration without compromising quality or reliability
Shape AI native product experiences
Partner with product and design to define patterns that make LLM powered sourcing intuitive and fast

What we offer

Top of the line health, dental and vision insurance, with 100% premium covered
401k matching
Free lunch in office
Monthly team dinner for each office
Commuter benefits

Member of Technical Staff, Research Tooling & Data Platform

We're looking for an engineer to own Runway's internal exploratory data analysis...

Location

United States

Salary:

240000.00 - 290000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of industry experience in a backend focused software engineering role
Strong experience in at least 2 of 3 areas (platform/infrastructure, ML domain knowledge, frontend/product engineering) with eagerness to learn the third
Platform/infrastructure: experience with vector databases, cloud primitives (i.e. SQS, ECR, Kinesis) and container orchestration (Kubernetes, ECS)
ML domain knowledge: Understanding of ML workflows, model training, evaluation, testing, dataset management, feature engineering, or research tooling
Product engineering: Ability to build clean, intuitive user experiences with product thinking and user empathy. You care deeply about building tools people love to use (TypeScript/React experience is a plus)
Comfortable setting up and maintaining production infrastructure and services
Self-starter who can navigate ambiguity and make pragmatic technical decisions
Humility and open mindedness

Job Responsibility

Own the EDA platform end-to-end: Take full ownership of architecture, infrastructure, feature development, and operations
Optimize for scale: Improve query performance and write efficiency for vector search, integrate with new data warehouses, and optimize our custom query parsing/suggestion system
Build for researchers: Design and ship features that help ML researchers source data faster, run more effective evaluations, and iterate quickly
Enable cross-functional users: Work with design, product, and creative teams to build intuitive evaluation workflows
Manage infrastructure: Deploy and maintain services across ECS and Kubernetes, including embedding services and database integrations
Provide support: Be responsive to user needs, debug issues quickly, and gather feedback to prioritize improvements

Fulltime

Staff Backend Product Software Engineer, Core

This role owns large, ambiguous problem spaces directly tied to company metrics ...

Location

Canada

Salary:

204900.00 - 277200.00 CAD / Year

Dropbox

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent technical experience
Minimum of 12 years of experience as a software engineer
Must have worked in a consumer user-facing team (versus a platform team, a developer-facing API-based product, etc)
Must have a strong mix of skills and depth across multiple areas, including three or more of frontend, mobile, search, databases, storage, concurrency, and modern ML and LLM-based APIs and agentic frameworks

Job Responsibility

Lead the technical delivery of a team of 12 engineers to deliver high-impact business and customer outcomes
Shape technical direction and partner with Product Management as the DRI for critical company-wide objectives
Own massive, ambiguous technical and product problems that create company-wide opportunity
Be a prolific, hands-on coder who owns and implements the most critical, complex, and foundational components of the system
Influence roadmaps across orgs, breaking silos and steering decisions that change how Dropbox builds
Architect foundational systems that enable new product capabilities and operate reliably at the scale of hundreds of millions of users
Demonstrate senior technical leadership and maintain high engineering standards in a virtual-first environment

What we offer

Competitive medical, dental and vision coverage
Retirement savings through a defined contribution pension or savings plan
Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more
Income Protection Plans: Life and disability insurance
Business Travel Protection: Travel medical and accident insurance
Perks Allowance to be used on what matters most to you
Parental benefits including: Parental Leave, Fertility Benefits, Adoptions and Surrogacy support, and Lactation support
Mental health and wellness benefits

Fulltime

Staff AI Context Engineer

MagicSchool is seeking a Staff AI Context Engineer to architect and enhance the ...

Location

United States

Salary:

205000.00 - 240000.00 USD / Year

EdTech Jobs

Expiration Date

Until further notice

Requirements

Deep Knowledge Systems Experience: 5+ years building large-scale information systems with at least 2+ years in staff/senior roles. Extensive hands-on experience with RAG systems, knowledge graphs, or semantic search platforms in production environments.
Graph Database Expertise: Deep experience with graph databases (Neo4j, Neptune, or similar), including schema design, query optimization (Cypher, Gremlin), and building graph-based applications.
RAG & Retrieval Mastery: Demonstrated expertise building production RAG systems including embedding selection, chunking strategies, hybrid search, reranking, and retrieval evaluation. Familiarity with vector databases (pgvector, Pinecone, Weaviate, Qdrant).
Embedding & NLP Background: Strong understanding of embedding models (sentence transformers, domain-specific embeddings), fine-tuning approaches, and semantic similarity. Experience with document processing, entity extraction, and text chunking for optimal retrieval.
Technical Stack: Strong coding skills in Python and/or TypeScript/Node.js. Experience with our stack (TypeScript, Node.js, PostgreSQL, NextJS, Supabase) plus graph databases and vector stores. Familiarity with LLM APIs and context management patterns.
Information Architecture: Deep understanding of information retrieval theory, semantic search, knowledge representation, and strategies for organizing complex domain knowledge for both human and AI consumption.
Leadership & Impact: Track record of architecting complex knowledge systems, making high-leverage technical decisions about information architecture, and mentoring engineers on sophisticated retrieval and graph concepts.

Job Responsibility

Knowledge Graph & Semantic Architecture: Architect and implement graph-based knowledge systems (Neo4j, Neptune, etc) that represent educational content relationships, standards alignments, prerequisite chains, curriculum coherence, learning progressions, and pedagogical connections.
Graph Schema & Ontology Development: Design and evolve ontologies and schemas for educational content, defining entity types (standards, concepts, skills, assessments), relationship semantics, and property models.
GraphRAG Implementation: Build GraphRAG systems that combine knowledge graph traversal with vector similarity, enabling agents to retrieve contextually connected educational materials.
Retrieval Pipeline Architecture: Architect and implement sophisticated retrieval-augmented generation pipelines including hybrid search (dense + sparse), multi-stage retrieval, reranking strategies, and query understanding.
Embedding & Vectorization Strategy: Design and operationalize embedding pipelines for educational content, selecting and fine-tuning embedding models, implementing chunking strategies, and managing vector stores at scale.
Retrieval Evaluation & Optimization: Design evaluation pipelines that measure retrieval precision, recall, MRR, and NDCG across educational content types. Continuously optimize retrieval quality.
Document Ingestion & Processing: Build robust ingestion systems that process structured and unstructured educational content, extracting entities, relationships, and metadata for knowledge base population.
Semantic Parsing & Extraction: Implement NLP pipelines for educational content that extract key concepts, prerequisite relationships, learning objectives, and pedagogical metadata.
Memory & Context Management: Invent and operationalize memory compaction mechanisms, session state management, and cross-conversation memory patterns that allow agents to maintain coherence across extended teaching workflows.
Context Evaluation & Monitoring: Design evaluation frameworks that measure retrieval precision, token relevance, attention allocation, and reasoning coherence as context evolves across sessions.

What we offer

Flexibility of working from home.
Unlimited time off.
Choice of employer-paid health insurance plans. Dental and vision are also offered at very low premiums.
Generous stock options, vested over 4 years.
401k match.
Monthly wellness stipend.

Fulltime

Staff Agentic AI Engineer

Ignite the Future of AI at Teradata. At Teradata, we're not just managing data; ...

Location

India , Hyderabad

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience
5+ years focused on AI/ML, intelligent systems, or agent-based architectures
Deep understanding of software design principles and scalable architecture patterns
Strong experience with LLM APIs (e.g., OpenAI, Claude, Gemini) and agentic frameworks (e.g., AutoGen, LangGraph, AgentBuilder, CrewAI)
Proven ability to build complex multi-step workflows using prompt pipelines, tools, and adaptive reasoning
Proficiency in Python and experience with vector databases, API integration, and orchestration tools
Familiarity with agent evaluation metrics: correctness, latency, grounding, and tool use accuracy
Experience leading AI projects from inception to deployment in a production setting
Master’s or Ph.D. in Computer Science, AI, or a related field, or equivalent industry experience
Experience working with multimodal inputs, retrieval systems, or structured knowledge sources

Job Responsibility

Design and implement autonomous AI agents for semantic search, text-to-SQL translation, and analytical task execution
Develop modular prompts, reasoning chains, and decision graphs tailored to complex enterprise use cases
Enhance agent performance through experimentation with LLMs, prompt tuning, and advanced reasoning workflows
Integrate agents with Teradata’s Model Context Protocol (MCP) to enable seamless interaction with model development pipelines
Build tools that allow agents to monitor training jobs, evaluate models, and interact with unstructured and structured data sources
Work on retrieval-augmented generation (RAG) pipelines and extend agents to downstream ML systems

What we offer

People-first culture
Flexible work model
Focus on well-being
Inclusive environment

Fulltime

Staff AI/ML Engineer

At Sigma, we’re not just adding AI—we’re building the future of how people work ...

Location

United States , San Francisco

Salary:

240000.00 - 270000.00 USD / Year

Sigma Computing

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required)
10+ years of experience building and deploying production-grade AI/ML systems
Deep knowledge of machine learning, deep learning, and applied AI
Experience across the full ML lifecycle: data curation, training, deployment, monitoring
A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex
Experience adapting or training foundation models (language or multimodal) for novel domains

Job Responsibility

Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
Tackle novel UX problems at the intersection of AI, BI, and apps

What we offer

Equity
Generous health benefits
Flexible time off policy
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office

Fulltime

Staff ML Engineer, Search

Harmonic

Location:
United States , New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 20, 2026

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