Sr. Staff ML Platform Engineer Job at EarnIn (Mountain View)

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

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 Engineer, Matching & Segmentation

We are seeking a Sr. Staff Engineer and Tech Lead to join Uber's Mobility Matchi...

Location

United States , San Francisco

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
8-10+ years of professional software development experience, building and operating systems in production environments
Strong knowledge of backend development, distributed systems, and system design for large-scale, low-latency applications
Experience with ML systems, optimization algorithms, or real-time decision systems in production
Demonstrated ability to lead complex, multi-team technical initiatives with significant cross-org dependencies
Excellent communication skills and the ability to collaborate effectively with cross-functional teams including Product, Science, and Operations
Proven ability to mentor and elevate other engineers, including Senior and Staff-level ICs

Job Responsibility

Be the Tech Lead for a complex domain within Matching & Segmentation, setting technical direction and driving architecture decisions across matching algorithms, segmentation models, forecasting systems, and real-time marketplace infrastructure
Design, develop, and deploy ML and optimization systems that solve high-impact business problems at scale — including real-time matching, reinforcement learning-based dispatch, and experiment-driven product development
Lead projects that span across orgs (e.g., matching, driver pricing, rider pricing, surge, platform) with significant cross-org dependencies and design complexity
Collaborate closely with Scientists, Product Managers, and peer engineering teams to define technical strategy, translate business requirements into system designs, and deliver high-quality solutions
Drive ongoing improvements in system reliability, performance, scalability, and efficiency through strong engineering practices, automation, and observability
Mentor and grow engineers across the organization, including Senior and Staff engineers, raising the technical bar and fostering a culture of engineering excellence
Contribute to the design and evolution of Uber's large-scale experimentation infrastructure, including Switchback experiments that power marketplace optimization decisions
Deliver and review technical designs, code, and documentation to a high standard, and champion best practices in data management, data quality, and service deployment

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 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

Sr Staff Machine Learning Engineer - Ads

Ads is a growing business at Uber. As part of this team, you will get an opportu...

Location

United States , San Francisco; Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Technical leadership and drive technical direction for ads delivery area
Lead the design and implementation of advanced ML systems for all ads products at Uber
Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
Build scalable ML architecture and feature management systems supporting ads marketplace
Establish ML engineering best practices, monitoring, and operational excellence across the organization
Create platform abstractions that enable other ML engineers to iterate faster on improvements
Collaborate with ads marketplace product and science teams to productionize cutting-edge ML research
Work with platform engineering teams to ensure ML systems meet reliability and performance standards
Influence technical roadmaps across multiple teams through technical leadership and strategic thinking
Mentor and grow senior ML engineers, establishing technical standards and engineering culture

Job Responsibility

Provide technical leadership, and drive technical direction for the ads delivery area
Work with cross-functional teams to find opportunities and implement enhancements to improve consumer experience and unlock value for advertisers and Uber

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. Distinguished AI Engineer (Agentic AI Platform)

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , San Jose, California; San Francisco, California

Salary:

343400.00 - 392000.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies
At least 10 years of experience programming with Python, Go, Scala, or Java
9 years of experience deploying scalable and responsible AI solutions on cloud platforms
2+ years of experience supporting Agentic Frameworks
2+ years of experience with LLMOps
8+ years of experience designing mission-critical machine learning platforms
2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang
Master's degree in Computer Science, Computer Engineering, or relevant technical field

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs
Standardizing and automating agentic workflows
Contribute to crafting an end to end GenAI SDK, CLI and starter kits
Help bring together a vision of central guardrail services
Collaborate with cross organization architects to drive end to end performance
Accelerate innovation by incubating proof of concepts and driving RFCs
Own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs
Coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Truck Driver Class A CDL

Local Relief Drivers are responsible for delivering our products to small and la...

Location

United States , McMinnville

Salary:

27.80 - 29.26 USD / Hour

Keurig Dr Pepper

Expiration Date

Until further notice

Requirements

High school diploma or general equivalency diploma (GED) preferred
21 years of age or older
Lift, push, and pull a minimum of 50 pounds repeatedly
Valid Commercial Driver's License A (CDL A)
Ability to maintain valid DOT Driver Qualification File

Job Responsibility

Deliver products to small and large retailers on various routes
Manually unload trucks using a hand dolly
Build rapport with customers
Stock shelves and coolers as requested by customer
May be assigned merchandising and warehouse responsibilities as needed

What we offer

Medical
Dental and Vision
Paid Time Off
401(k) program with employer match
Child & Elder Care
Adoption Benefits
Paid Parental Leave
Fertility Benefits
Employee Resource Groups
Breastmilk Shipping Services

Fulltime

Enterprise Account Executive, Advertising Technology Solutions

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace i...

Location

Germany , Munich

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

Proven sales track record in Ad-tech, retail media or SaaS solutions with consistent over-achievement against quota
Deep understanding of the marketplace and advertising ecosystem including DSPs, ad servers, APIs, and data-driven advertising solutions
Demonstrated ability to prioritise pipeline and accelerate sales cycles to meet quarterly targets
Experience navigating business sales situations requiring ROI demonstration and solution-selling approaches
Strong negotiation and influencing skills with experience building relationships across multiple stakeholder levels
English: C2 level (required)
German, French or Dutch is a plus

Job Responsibility

Develop and execute a go-to-market sales strategy for Mirakl Ads across your EMEA territory, owning quota attainment through a structured, repeatable approach to new customer acquisition within retailer and marketplace operator
Manage the full end-to-end sales cycle (typically 5 to 9 months) across all stages: prospecting and outbound engagement, discovery and business case development, technical validation with the solution engineering team, commercial negotiation with procurement and legal, and contract closure
Build deep expertise in Mirakl Ads and act as a trusted advisor on retail media monetisation strategies, sponsored product mechanics, and advertiser ROI, positioning Mirakl's differentiators against competing retail media solutions
Navigate complex retailer organisations to build and maintain senior-level relationships with the key decision-makers driving retail media initiatives, including: Chief Digital Officers, VP/Heads of eCommerce, Heads of Retail Media or Monetisation, CMOs, as well as engaging technical and legal stakeholders throughout the process
Own and grow a healthy, multi-stage pipeline, partnering closely with Solutions Engineering, Product, Customer Success, and Legal teams to accelerate deal progression and ensure a smooth transition to onboarding post-signature

What we offer

Public Transport Pass: 50% reimbursement on your monthly public transport subscription
Health Insurance: Flexible coverage tailored to individual or family needs, with Mirakl contributing to your plan
Meal Allowance: Mirakl provide a monthly meal allowance
Hybrid Setup: 4 days in-office & 1 day remote
Pension & Life Insurance: Mirakl contributes monthly to your pension and covers 100% of life insurance premiums
ClassPass forfait: Enjoy access to 40,000+ gyms and wellness studios worldwide with a no-commitment ClassPass membership
Paid Time Off: paid vacation days per calendar year

Fulltime

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Sr. Staff ML Platform Engineer

Job Description

Job Responsibility

Requirements

What we offer

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