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

Sr Staff ML Engineer - Applied AI

We are building AI-native discovery experiences across Mobility and Delivery. Se...

Location

United States , San Francisco

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Masters degree or Ph.D in Computer Science, Engineering, Mathematics
12+ years of ML experience, including significant work on large-scale deep learning systems
Demonstrated ownership of high-impact ML systems in search, recommendations, or conversational AI
Deep expertise in transformers, retrieval systems, ranking, and embedding architectures
Strong experience with PyTorch and distributed training
Proven ability to set the technical strategy for a large organization and influence product roadmaps at the executive level
Strong product intuition and ability to connect model improvements to business outcomes

Job Responsibility

Define and champion the multi-year technical vision and architecture for foundation models across Search, Recommendations, and Conversational AI
Set the architectural standard and drive system design for critical, high-leverage ML platforms across Mobility and Delivery
Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants, resolving complex technical trade-offs across organizational boundaries
Define long-term investment areas (build vs fine-tune vs partner models) with clear business rationale and long-term viability
Provide principal-level technical leadership, mentoring Staff and Senior Staff engineers, and setting the bar for technical excellence across the entire AI organization

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Sr Staff ML Engineer - Production & MLOps Focus - GenAI Security Platform

Join our team building a cutting-edge multi-tenanted GenAI Security Platform tha...

Location

India , Bengaluru

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

4+ years of ML engineering experience with hands-on LLM/NLP work
Practical experience building LLM-based applications (agents, multi-turn systems, evaluators)
Understanding of model fine-tuning, embedding optimization, and prompt engineering
Experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI)
Knowledge of LLM orchestration frameworks ( LangChain, LlamaIndex, Pydantic AI, custom solutions)
Familiarity with model architectures and when to fine-tune vs prompt engineer
Strong experience deploying ML models to production at scale
Experience with Model serving frameworks (vLLM preferred
TensorRT-LLM, Ray Serve, or similar a plus)
Kubernetes and Docker proficiency for ML workload orchestration

Job Responsibility

Build and deploy LLM-based agents and multi-step evaluation workflows
Fine-tune models, optimize embeddings, and manage model weights and artifacts
Deploy and scale ML services on Kubernetes with proper monitoring and resource management
Implement experiment tracking, model versioning, and deployment automation
Develop observability dashboards for ML metrics, costs, latency, and quality
Optimize LLM API usage through caching, batching, and intelligent routing strategies
Manage vector database infrastructure and semantic search systems
Create CI/CD pipelines for ML artifacts and automated testing frameworks
Collaborate with ML researchers to productionize prototypes and scale experiments

Fulltime

Senior Staff Software Engineer (Search)

We are on a mission to build a reliable, fast, and scalable search for DoorDash....

Location

United States , San Francisco, CA; Sunnyvale, CA; Seattle, WA

Salary:

231200.00 - 340000.00 USD / Year

DoorDash

Expiration Date

Until further notice

Requirements

B.S. or M.S. in Computer Science or equivalent
10+ years of industry experience, with a track record of leading large-scale, high-impact components and systems
Proven ability to drive multi-quarter technical roadmaps as a technical lead, with clear ownership of architectural decisions
Deep expertise in distributed systems and data pipelines at scale. Expertise in search infrastructure, including indexing and serving stack
Strong understanding of ML systems, embedding-based retrieval, model serving tradeoffs, and multi-stage ranking architectures
Strong technical intuition paired with the ability to influence and align cross-functional stakeholders
Humility and growth mindset, leading through expertise and collaboration, not hierarchy

Job Responsibility

Lead at scale: Serve as the uber tech lead for Search, providing technical vision and architectural direction across the entire organization. Own a multi-year roadmap that spans multiple services and teams powering mission-critical products at DoorDash
Architect the next-generation search stack: Drive the rebuild of core search infrastructure, including indexing pipelines, embedding-based retrieval, and ML ranker serving in latency-sensitive paths. This stack will power both consumer search and agentic commerce experiences at DoorDash scale
Influence across teams: Drive alignment across ML, Infrastructure, Product, and partner engineering teams. Mentor staff and senior engineers across the search org to raise the bar of technical excellence
Shape engineering culture: Set the technical bar for how the search org designs, ships, and operates large-scale systems, and define the patterns that will outlast any single project
Hands-on problem solving: Dig into complex distributed systems challenges, from low-latency serving to indexing freshness tradeoffs, and write code that moves the needle

What we offer

401(k) plan with employer matching
16 weeks of paid parental leave
wellness benefits
commuter benefits match
paid time off and paid sick leave in compliance with applicable laws
medical, dental, and vision benefits
11 paid holidays
disability and basic life insurance
family-forming assistance
mental health program

Fulltime

New

Staff Software Engineer, Search

As a Staff Software Engineer, you will help make SiriusXM’s massive content cata...

Location

United States , Texas; Georgia; New Jersey; New York

Salary:

101500.00 - 195000.00 USD / Year

SiriusXM

Expiration Date

Until further notice

Requirements

7+ years of professional software engineering experience building large-scale backend systems in Java, building backend microservices and scalable distributed systems
3+ years of experience with Python
Deep experience with search frameworks, metadata indexing, and retrieval systems
Proven experience leading complex, cross-functional technical initiatives
Expert-level experience with AWS, including deploying applications using services such as EC2, Lambda, S3, DynamoDB, CloudWatch, ElastiCache, and IAM
Strong foundation in object-oriented design, system design, and design patterns
Proven ability to make sound architectural trade-offs while maintaining long-term extensibility
Comfort working across system boundaries (infrastructure, ML, and adjacent service domains)
Ability to handle multiple tasks in a fast-paced environment
Excellent interpersonal and communication skills

Job Responsibility

Design, build, and operate well-architected, scalable microservices for the search services stack
Drive architectural evolution of indexing, retrieval, and serving pipelines from prototype to production
Evaluate, fine-tune, and integrate off-the-shelf LLM models, rapidly prototyping where needed
Drive cross-functional initiatives, collaborating with product, science, design, and infrastructure partners
Act as a strong technical bridge between science/ML and engineering teams
Partner with the Voice Search team to eliminate redundancies and enhance the overall search ecosystem
Influence and uphold engineering best practices, mentoring other engineers as the team scales

Fulltime

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
Expert level Python
Experience with PyTorch, Terraform, Terragrunt, Docker, Kubernetes, GitHub Actions, Datadog
Experience with Databricks AI Stack: MLflow, Mosaic AI, Unity Catalog, Feature Store, Databricks Model Serving, Vector Databases

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

Fulltime

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

Staff Engineer – Full Stack

Synquery is redefining how expert insights are accessed and applied. We’re build...

Location

United States , Boston

Salary:

Not provided

Synquery

Expiration Date

Until further notice

Requirements

7+ years in full-stack software development, ideally with experience in early-stage or high-growth startups
Proficiency in Python (FastAPI), TypeScript (Next.js), PostgreSQL, AWS, Docker
Experience with LLM APIs (GPT, Claude, etc.) and/or vector DBs (e.g., Pinecone) is a big plus
Strong collaboration with product teams, with an ability to balance speed, quality, and user impact
A dynamic, entrepreneurial approach to problem-solving
Thrives in fast-paced, ambiguous environments with a “get-it-done” attitude
Skilled at designing resilient systems and debugging complex issues in live environments
Solid interpersonal skills with the ability to work well with team members from varied cultural backgrounds
Strong ability to clearly communicate to both technical and to a lesser extent business audiences

Job Responsibility

Build Core Systems: Design, implement, and maintain robust, scalable, and secure software solutions
Contribute to the Architecture: Contribute to the technical architecture decisions to ensure scalability, maintainability, and performance of our systems
Collaborate Cross-Functionally: Partner with product, design, and ML teams to translate business goals into robust features
Advise and Guide: Provide technical guidance when needed to less experienced engineers and help shape a high-performance, collaborative culture
Innovate: Leverage emerging technologies in AI/ML, generative AI, and hybrid search to enhance product capabilities
Shape Engineering Culture: As a founding team member, influence team practices, tooling, and values from the ground up

What we offer

High Impact Role: Be a pivotal contributor to Synquery’s growth and success
Career Growth: Opportunities for rapid advancement as the company scales
Equity Ownership: Meaningful equity options
Competitive Compensation: Competitive salary with flexible work arrangements
Supportive Culture: A collaborative team that values diversity, innovation, and mutual respect
Continuous Learning: Opportunities for professional development and working on cutting-edge technologies

Fulltime

Sr. Staff Engineer (Conversational/Voice AI)

Uber’s Customer Obsession team builds the platform and AI that powers world‑clas...

Location

United States , Sunnyvale, California; San Francisco, California

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years building production ML/AI systems
4+ years leading complex ML initiatives end‑to‑end
Deep expertise in LLM‑driven systems (inference optimization, prompt/program design, fine‑tuning, distillation/LoRA, safety/guardrails, evals)
Strong software engineering in Python plus one of Go/Java/C++
hands‑on with microservices, gRPC/HTTP, cloud infra, containers, CI/CD, and real‑time telemetry/observability
Demonstrated ownership of high‑availability services (SLO/SLA design, incident response, on‑call leadership, postmortems)
Track record of shipping customer‑facing intelligent experiences with measurable impact (A/B testing, metrics literacy)

Job Responsibility

Own the end‑to‑end agent architecture: agentic planning and execution loops, long-term memory, persona/voice, knowledge routing, and policy enforcement for compliant, on‑brand conversations
Ship production systems that handle millions of conversations with rigorous SLOs, fallbacks, and canaries
design graceful degradation (e.g., human handoff) and safety guardrails (prompt‑injection, jailbreak, PII redaction)
Lead voice agent initiatives: Drive the development of Uber’s voice support agent—covering real-time speech recognition (ASR), text-to-speech, natural turn-taking (barge-in and endpointing), and reliable telephony/WebRTC integration
Advance retrieval & reasoning: Build next-generation retrieval and reasoning pipelines, where the agent can search across different knowledge sources, apply policy-driven tools, and call structured workflows and ensure that responses are consistently grounded
Establish evals that matter: offline rubrics, simulated scenarios, safety tests, cost/latency tradeoff suites, and LLM‑as‑judge (with calibrated human review) wired into CI/CD and experiment platforms
Drive automation at scale: partner with Product/Design/Operations on coverage, policy alignment, localization, and rollout strategy to better customer experience and reduce cost per contact
Mentor/principal‑lead multiple pods
set technical strategy and quality bars
coach senior engineers on agentic patterns, reliability, and experiment velocity

What we offer

Eligible to participate in Uber's bonus program
may be offered an equity award & other types of comp
eligible for various benefits (details at https://www.uber.com/careers/benefits)

Fulltime

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Staff ML Engineer, Search

Job Description

Job Responsibility

Requirements

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