Staff Machine Learning Engineer, Money (Founding ML Lead) Job at DoorDash (San Francisco)

New

Host/ess

The Host/ess is an essential member of the Adorn Bar & Restaurant team which is ...

Location

United States of America , Chicago

Salary:

24.36 - 25.86 USD / Hour

Four Seasons

Expiration Date

Until further notice

Requirements

Candidate must be fluent in English, both verbal and written
Knowledge and ability to operate various electronic systems
Service Passion for Luxury Hospitality
Requires attention to detail and problem-solving skills
Previous work experience in a free-standing Restaurant/Bar strongly preferred
Candidates must have valid work authorization for the U.S.

Job Responsibility

Maintain the reception area and entrance in all aspects of stocking and cleanliness
Retain all assigned wardrobe in accordance with established standards and uniform guidelines
Work in an efficient and professional manner while maintaining a positive attitude and deliver superior guest service at all times
Perform all assigned duties as detailed in your opening, afternoon and closing checklists
Distribute the server’s slips (guest notes) and ensure any updates are given to servers and management promptly
Check the blocking sheet to identify all regulars and VIP guests
Use OpenTable when taking reservations and when checking on current or future reservations
ensure accuracy when entering data into OpenTable
Answer calls promptly to maximize the restaurant’s capacity
Try to accommodate regulars and reservation requests of concierges

What we offer

Energizing Employee Culture where you are encouraged to be your true self!
Comprehensive learning and development programs to help you elevate your craft.
Competitive wages and benefits (Medical, Dental, Vision and Retirement Plan) as well as Paid Time Off & Holiday Pay
401(k) Retirement Plan including Employer Matching Program
Inclusive and diverse employee engagement & recognition events all year-round.
Exclusive discount and travel programs with Four Seasons
Complimentary Dry Cleaning for Employee Uniforms & Employee Meals

Fulltime

New

Senior Lead C#/.Net Developer

At Schwab, you’re empowered to make an impact on your career. Here, innovative t...

Location

United States , Lone Tree

Salary:

150000.00 - 170000.00 USD / Year

Charles Schwab

Expiration Date

June 09, 2026

Requirements

Bachelor's degree in computer science, Information Technology, or related field with 7+ years of progressive, post-Bachelor's related experience
Advanced .NET development skills, with applicable experience developing in .NET/.NET Core
Advanced coding experience in C#
Advanced knowledge of Domain Driven Design (DDD)
Advanced knowledge of object-oriented design patterns
Professional experience with RESTful API development
Advanced knowledge of SOLID principals
Advanced knowledge of effective Unit Testing, and Integration Testing
Ability to set and lead application design patterns such as repository, unit-of-work, vertical slice, asynchronous programming
Professional experience with OAuth and Open ID Connect including scopes, clients, claims, and tokens

Job Responsibility

Provide technical leadership to software engineers, ensuring compliance with company development standards, quality and security
Collaborating with cross-functional teams
Ensure development teams correctly implement Domain Driven Design
Optimize application performance and functionality
Leading large projects across multiple teams.

What we offer

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance.

Fulltime

!

New

Director, Platform Architect Principal - Wealth Management

Location

United States , Austin

Salary:

210000.00 - 260000.00 USD / Year

Charles Schwab

Expiration Date

June 13, 2026

Requirements

Extensive experience serving as a Technical Architect for large-scale, enterprise-wide wealth management platforms, with deep expertise across portfolio management, trading and rebalancing, risk, reporting, financial planning, CRM, client engagement, and wealth management operations
10+ years of hands-on software engineering experience, preferably in Java, with at least 5+ years designing, developing, and integrating solutions in the investment services or wealth management industry
Strong technical depth in enterprise application architecture across distributed systems, APIs, middleware, microservices, event-driven systems, and hybrid cloud environments
Hands-on experience designing and implementing cloud-native solutions, with expertise in Google Cloud Platform (GCP) strongly preferred
Solid understanding of the wealth management technology ecosystem, including custodians, portfolio management platforms, CRM solutions, reporting tools, financial planning systems, and advisor workstation technologies
Experience leading cloud transformation and digital modernization initiatives in financial services
Knowledge of regulatory and compliance requirements, data governance, cybersecurity principles, responsible AI practices, and security controls relevant to financial services environments
Experience supporting production operations and applying Site Reliability Engineering (SRE) principles to improve system reliability, observability, performance, and operational excellence
Familiarity with AI/ML integration patterns, modern data architecture concepts, and the practical application of emerging technologies in enterprise platforms
Excellent communication, documentation, stakeholder management, and leadership skills, with the ability to influence senior stakeholders, build alignment, and drive decisions across diverse teams

Job Responsibility

Define and evolve the target architecture for wealth management platforms, including Schwab Wealth advisory systems, portfolio management, CRM integrations, client portals, digital advice, Wealth vendor integration
Lead architecture strategy, reference architectures, and technology roadmaps that improve scalability, security, availability, and advisor and client experiences
Design secure, scalable integration patterns across core wealth applications, custodians, market data providers, enterprise services, third-party fintech platforms, and AI-enabled capabilities
Drive platform modernization through cloud adoption, API enablement, microservices, event-driven architecture, containerization, and selective AI/ML implementation
Collaborate with business leaders, product teams, peer architects, enterprise architects, engineers, and external vendors to translate business capabilities into cohesive technical solutions and interoperable platform designs
Evaluate and recommend wealth technology platforms, vendor ecosystem capabilities, and emerging technologies to enhance advisor productivity, client experience, and operational efficiency
Provide architectural leadership across the software delivery lifecycle, resolving complex technical challenges and guiding implementation decisions
Ensure solutions comply with financial services regulations, cybersecurity standards, AI governance, and data privacy requirements
Stay current on industry trends in wealth management technology, generative AI, analytics, and digital advisory platforms, and apply that insight to drive innovation

What we offer

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance

Fulltime

New

Senior Software Development Engineer

At Schwab, you will build a rewarding career while making a difference in the li...

Location

United States , Southlake

Salary:

103500.00 - 230000.00 USD / Year

Charles Schwab

Expiration Date

June 05, 2026

Requirements

8+ years of related experience required
BS/MS degree preferred or equivalent experience
7+ years of hands‑on Java development (writing and reviewing production code)
Proficiency with SQL and NoSQL databases (Oracle, MongoDB)
Expertise with Spring or Spring Boot frameworks
Experience designing, building, and maintaining RESTful APIs and microservices in cloud/hybrid environments
CI/CD pipeline experience using Bamboo, Jenkins, GitHub Actions, or similar tools
Experience mentoring junior or mid‑level engineers
Understanding of distributed systems, messaging, and integration patterns (RabbitMQ, Kafka)
Ability to translate system requirements into scalable, secure technical designs

Job Responsibility

Lead technical design, development, and delivery of cross‑functional, multi‑platform application systems
Utilize AI and automation technologies to enhance code quality, testing, and development workflows
Guide and mentor an Agile Java engineering team across frontend and backend technologies
Ensure all deliverables meet high standards of code quality, test coverage, and secure development practices
Conduct code reviews and provide constructive team feedback
Create Proof‑of‑Concept solutions to establish reusable patterns and accelerate feature delivery
Collaborate across teams to drive solution design, architecture documentation, and technical approvals
Promote secure coding practices, vulnerability prevention, and system resiliency
Build and maintain CI/CD pipelines (e.g., GitHub Actions, Bamboo) for cloud deployments
Contribute to Agile ceremonies and partner closely with product, architecture, and operations teams

What we offer

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance
bonus or incentive opportunities

Fulltime

!

New

Sr. AI Site Reliability Engineer, AI.x

At Schwab, you will build a rewarding career while making a difference in the li...

Location

United States , Austin

Salary:

175000.00 - 220000.00 USD / Year

Charles Schwab

Expiration Date

June 16, 2026

Requirements

8+ years of software engineering experience, with 4+ years as a hands-on Site Reliability Engineer in startups and/or large organizations
Bachelor's degree in Computer Science or related field, or equivalent experience
5+ years building complex products from scratch, running them in production, and ensuring operational reliability
3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code and CI/CD pipelines
3+ years of experience working in high-availability hybrid-cloud environments

Job Responsibility

Lead automation-first initiatives to eliminate toil and manual interventions, defining and executing the strategic roadmap for reliability, observability, and self-healing systems across AI.x platforms
Design and implement robust CI/CD pipelines enabling one-touch deployments with automated testing, validation, and rollback capabilities to accelerate delivery velocity and reduce deployment risk
Implement comprehensive observability frameworks for real-time monitoring of AI services, including metrics, logs, and traces, with intelligent alerting and automated diagnostics to minimize MTTD and MTTR
Participate in on-call rotation providing 24/7 support for production AI systems, ensuring rapid incident response, root cause analysis, and resolution with measurable SLO targets
Establish and manage Service Level Objectives (SLOs), Service Level Indicators (SLIs), error budgets, and incident response runbooks to drive continuous reliability improvements
Champion Infrastructure-as-Code (IaC) practices and automate environment provisioning, configuration management, and deployment processes to ensure consistency, repeatability, and operational efficiency
Collaborate seamlessly with AI Engineering teams to integrate SRE practices early in the development lifecycle, promoting a culture of reliability and shared responsibility
Proactively identify and resolve reliability, performance, and scalability issues through data-driven analysis, capacity planning, and system optimization
Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability, maximizing production availability
Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines, establishing patterns and standards for the organization

What we offer

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance

Fulltime

New

Senior Ai Engineer- Ai Engineering & Operations

At Schwab, you’re empowered to make an impact on your career. Here, innovative t...

Location

United States , Austin, TX ; Southlake, TX

Salary:

129000.00 - 175000.00 USD / Year

Charles Schwab

Expiration Date

June 10, 2026

Requirements

8+ years of data engineering experience, including 4+ years as a hands-on senior engineer
4+ years of experience developing scalable workflows and data pipelines that support large, complex datasets
3+ years of experience designing and implementing solutions using Artificial Intelligence technologies such as natural language processing, large language models, or machine learning
2+ years of hands-on experience with containers and cloud-native platforms
Bachelor’s degree in Computer Science, Data Engineering, Mathematics, Analytics, or a related field

Job Responsibility

Design, build, and optimize Generative AI applications that drive measurable business impact and enhance client experiences
Lead the development of robust data pipelines and prompt engineering workflows, enabling efficient model iteration and performance tuning
Champion best practices in reliability, monitoring, and observability across AI systems, ensuring scalable and actionable reporting
Implement a framework designed to manage unstructured data at an enterprise scale
Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards
Mentor and coach junior engineers, fostering strong practices and continuous learning
Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment
Design and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability
Advance engineering standards, focusing on operational excellence, modular reusability, and quality across all deliverables

What we offer

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance
Medical, dental and vision benefits
401(k) and employee stock purchase plans
Tuition reimbursement to keep developing your career
Paid parental leave and adoption/family building benefits
Sabbatical leave available after five years of employment

Fulltime

!

New

AI Lead

We are seeking a highly skilled and experienced Senior AI Engineer a deep unders...

Location

Qatar , Doha

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or related field
5+ years of experience in AI/ML engineering with end-to-end pipeline development
Hands-on experience building and deploying LLM/RAG systems in production
Strong experience with public cloud platforms (AWS, Azure, or GCP)
2+ years of experience in asset-heavy industries (e.g., oil & gas, utilities, manufacturing)
Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch
Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph
Experience with RESTful API development and version control using Git
Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval
Familiarity with Docker, Kubernetes, and scalable microservice design

Job Responsibility

Design and implement scalable and modular pipelines for data ingestion, transformation, and orchestration across GenAI workloads
Manage data and model flow across LLMs, embedding services, vector stores, SQL sources, and APIs
Build CI/CD pipelines with integrated prompt regression testing and version control
Use orchestration frameworks like LangChain or LangGraph for tool routing and multi-hop workflows
Monitor system performance using tools like Langfuse or Prometheus
Develop systems to ingest unstructured (PDF, OCR) and structured (SQL, APIs) data
Apply preprocessing pipelines for text, images, and code
Ensure data integrity, format consistency, and security across sources
Integrate external and internal LLM APIs (OpenAI, Claude, Mistral, Qwen, etc.)
Build internal APIs for smooth backend-AI communication

Fulltime

New

Data Science Lead

We are looking for a Senior / Lead Data Scientist with strong expertise in Machi...

Location

India

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

7+ years of hands-on experience in Data Science, Machine Learning, or Applied AI roles
Strong foundation in statistical modeling and machine learning, including: Regression, boosting trees, random forests, Time-series modeling and forecasting, Optimization techniques (linear, nonlinear, stochastic)
Deep Learning expertise using frameworks such as: TensorFlow, Keras, PyTorch
Experience with RNN, LSTM, GRU, CNN is a plus
Experience with NLP and unstructured data processing
Hands-on experience with LLMs and GenAI, including: Retrieval-Augmented Generation (RAG), Vector databases (FAISS, Chroma, Pinecone, or similar), Prompt engineering and LLM evaluation, Agentic AI frameworks (e.g., LangChain, LangGraph, or similar)
Strong programming skills in Python (R is a plus)
familiarity with sh/bash scripting
Experience working with SQL and NoSQL databases
Experience building and consuming REST APIs and web services

Job Responsibility

Design, develop, and deploy production-grade ML and DL models with a focus on time-series data, forecasting, and predictive analytics
Build and optimize end-to-end ML pipelines, from data preprocessing and feature engineering to model training, evaluation, deployment, and monitoring
Apply advanced ML techniques including regression, tree-based models, ensemble methods, deep learning, and optimization algorithms
Perform feature extraction and dimensionality reduction using techniques such as autoencoders for high-dimensional datasets
Track experiments, model performance, and metrics using industry-standard tools and best practices
Design and implement LLM-powered applications, including Retrieval-Augmented Generation (RAG) systems for enterprise use cases such as analytics automation, knowledge assistants, and decision-support tools
Build document ingestion, chunking, embedding, and retrieval pipelines for structured and unstructured data using vector databases
Develop Agentic AI workflows that enable multi-step reasoning, tool usage, and autonomous task execution
Integrate LLMs with traditional ML systems to enhance explainability, insights generation, and user interaction
Implement guardrails and evaluation mechanisms to reduce hallucinations and ensure reliable, grounded LLM outputs

Fulltime

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Staff Machine Learning Engineer, Money (Founding ML Lead)

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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