Staff / Principal Machine Learning Engineer, Serving Job at Inworld AI (Mountain View)

Staff / Principal Machine Learning Engineer, Serving

Inworld is a product-oriented research lab of top AI researchers and engineers, ...

Location

Switzerland

Salary:

Not provided

Inworld AI

Expiration Date

Until further notice

Requirements

Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM
Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding
High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs
Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections
Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups
Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production
Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems
Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams

Fulltime

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...

Location

United States , Chevy Chase, MD; Palo Alto, CA

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8 or more years of professional software engineering or applied machine learning experience
2 or more years working with Generative AI or LLM-based systems in production
Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering

Job Responsibility

Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff / Principal Machine Learning Engineer, Serving

Staff / Principal Machine Learning Engineer, Serving - UK. About Inworld: Inworl...

Location

United Kingdom

Salary:

140000.00 - 200000.00 GBP / Year

Inworld AI

Expiration Date

Until further notice

Requirements

Inference Optimization
Model Acceleration
High-Performance Systems
Distributed Systems & Scaling
Public work
Full-cycle ownership
Background

Job Responsibility

Take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production

What we offer

equity
benefits

Fulltime

Distinguished Engineer

As a Distinguished Engineer at Capital One, you will be a part of a community of...

Location

United States , McLean; New York

Salary:

269100.00 - 335100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 9 years of experience in software engineering (including solution architecture and enterprise design patterns)
At least 7 years of experience in Data Engineering or Machine Learning Engineering, specifically building and maintaining large-scale production data pipelines (PySpark, SQL, Airflow)
At least 5 years of experience in Cloud Native Architecture, including container orchestration (Kubernetes or KubeFlow) and serverless design
At least 3 years of experience in a Technical Leadership role (Principal, Staff, or Distinguished Engineer), leading cross-functional initiatives without direct reporting lines

Job Responsibility

Articulate and evangelize a bold technical vision for your domain
Decompose complex problems into practical and operational solutions
Ensure the quality of technical design and implementation
Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
Continue learning and injecting advanced technical knowledge into our community
Handle several projects simultaneously, balancing your time to maximize impact
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Partner with the Capital One Travel Data & Personalization team to architect the next generation of our Travel Intelligence Platform
Serve as the primary architect for the foundational data schemas and orchestration layers
Establish a holistic Agentic AI framework

What we offer

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Senior Principal Software Engineer, Infrastructure

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

251000.00 - 352000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

12+ years of software engineering experience with demonstrated expertise across multiple platform domains (identity, billing, data, infrastructure)
Proven track record architecting and delivering large-scale distributed systems serving millions of users and thousands of enterprise customers
Deep expertise in at least two of: identity/access management systems, billing/monetization platforms, data platforms, or cloud infrastructure
Broad working knowledge across all platform domains with ability to make sound architectural decisions spanning multiple areas
Expert-level understanding of API design, service architecture, and system integration patterns at scale
Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure patterns (Kubernetes, service mesh, infrastructure-as-code)
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Track record of establishing strategic technical plans that directly enabled business outcomes (revenue growth, cost reduction, market expansion)
Experience translating business strategy into technical architecture and roadmaps
Demonstrated ability to identify and prioritize investments that provide maximum platform leverage

Job Responsibility

Define and own the multi-year technical vision for Docker's foundational platform, encompassing accounts, billing, data, enterprise governance, and infrastructure
Establish strategic plans and objectives for major platform initiatives, making architectural decisions that ensure effective achievement of Docker's business objectives
Contribute to and drive the strategic vision in collaboration with the VP of Engineering, translating organizational strategy into technical roadmaps that span multiple teams and years
Identify and prioritize platform investments that provide maximum leverage—capabilities built once that enable rapid iteration across all Docker products
Develop architectural principles and standards that guide technical decisions across the Bridge organization and influence product engineering teams
Anticipate future business needs and ensure platform architecture provides the flexibility to support Docker's evolving commercial models
Lead large cross-company programs that require coordination across Desktop, Hub, AI, Security, Cloud, and Platform teams
Architect the unified platform interfaces ("Control Planes") that enable product teams to answer canonical questions like "Can this user access this feature?" or "How much has this organization consumed?" without understanding underlying complexity
Drive convergence of fragmented systems across Docker—replacing product-specific implementations with shared platform capabilities for authentication, authorization, billing, and observability
Establish technical contracts between platform and product teams that enable independent velocity while ensuring consistency and reliability

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Principal Engineer, Model Dev Platform

As the Principal Engineer for the Model Development Platform at Wayve, you will ...

Location

United States , Sunnyvale

Salary:

Not provided

Wayve

Expiration Date

Until further notice

Requirements

Technical Leadership at Scale – 10+ years of experience designing and building large-scale distributed systems, ML/AI infrastructure, full stack web application, or developer platforms, including at least 3 years as a staff or principal-level engineer
Architectural Depth & Breadth – Proven ability to design systems spanning web platforms, ML pipelines, and large-scale compute orchestration (e.g., Spark, Ray, Kubernetes, Airflow, MLflow)
Reliability & Performance Mindset – Experience driving platform reliability improvements, defining SLAs/SLOs, and building self-healing and observable systems that operate at “four nines” availability or better
Hands-On Systems Design – Deep understanding of distributed computing, workflow orchestration, data modeling, and API design, with the ability to write and review production-quality code
Collaborative Influence – Excellent communication and cross-functional collaboration skills
ability to guide engineers, managers, and researchers toward unified technical direction
Mentorship & Culture – Demonstrated success in mentoring engineers across levels and cultivating a culture of engineering excellence
Education – Bachelor’s degree in Computer Science, Software Engineering, or related field (advanced degree preferred, or equivalent experience)

Job Responsibility

Design and evolve the overarching architecture of the model development platform, ensuring system-wide reliability, observability, and scalability
Work across disciplines—from front-end web UIs to large-scale distributed training, from Spark-based data pipelines to experiment scheduling algorithms using linear optimization—to unify the platform’s architecture and ensure smooth interoperability between systems
Dive deep into the thorniest technical challenges faced by individual subteams, bringing your expertise in distributed systems, large-scale compute, and system design to bear
Develop and refine systems that optimize how models are tested—whether in simulation or on-road—balancing constraints like hardware availability, safety requirements, and research priorities
Architect data processing pipelines capable of ingesting, transforming, and enriching petabytes of sensor data from the global fleet
Serve as a mentor and coach for engineers across the organization—developing technical talent, improving design practices, and fostering a culture of learning and technical excellence
Partner with Product Management, Research, and Operations to align technical architecture with user needs and product vision

Staff Software Engineer, Social Graph

We are seeking a Staff Software Engineer with deep expertise in graph theory, gr...

Location

United States , San Francisco

Salary:

181000.00 - 271000.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

8+ years of industry experience, including significant experience at senior / staff / principal levels
Demonstrated expertise launching and scaling graph-based applications in production
Deep understanding of graph theory, graph algorithms (e.g., traversal, clustering, centrality), and modern graph data structures
Expert-level experience with graph databases (Neo4j, TigerGraph, JanusGraph, DGL-backed systems, etc.) and efficient graph querying
Proven ability to design high-scale pipelines for ingesting and transforming social or behavioral data
Experience with distributed streaming frameworks (Kafka, Flink, Spark Streaming)
Hands-on experience incorporating graph-derived features into recommendation, ranking, trust, or safety models
Familiarity with Graph Neural Networks (GNNs), graph embeddings, or graph-based ranking systems
Strong product intuition and ability to articulate how graph systems drive business outcomes
Ability to influence architectural direction and mentor teams

Job Responsibility

Serve as the technical lead for initiatives related to social graph modeling, storage, retrieval, and computation
Architect and scale graph databases and graph query systems capable of supporting billions of nodes and edges with low-latency performance
Design and ship pipelines for ingesting, cleaning, and transforming social and behavioral data into graph structures
Partner with ML teams to productionize graph-based features, including embeddings, similarity signals, trust metrics, and GNN-powered ranking features
Lead the development of graph-informed recommendation, trust, and safety systems, ensuring models reflect real-world connectivity patterns
Define and implement feature engineering strategies leveraging graph topology (e.g., mutual connections, influence scoring, community structure)
Contribute to architecture decisions related to streaming systems (Kafka, Flink, Spark Streaming) and real-time graph updates
Mentor engineers and guide best practices on graph design, distributed systems, feature computation, and ML integration
Collaborate with Product to translate graph capabilities into business-impacting features that drive trust, engagement, and discovery
Ensure reliability, scalability, observability, and data quality in all graph-related systems

What we offer

Competitive pay and comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs
Volunteering program
Equity

Fulltime

Principal Geophysicist

This is a senior-level position for an expert Geophysicist with advanced experie...

Location

Saudi Arabia , Dammam

Salary:

Not provided

Fugro

Expiration Date

Until further notice

Requirements

Advanced degree (MSc or PhD) in Geophysics or related field
Minimum 15 years of relevant experience in mineral exploration geophysics, with at least 5 years in a senior or principal consulting role
Expert proficiency with industry-standard geophysical software (e.g., Oasis montaj, Geosoft, Leapfrog Geo, GOCAD)
Expertise in deep geophysical investigation techniques (e.g., borehole EM, magnetotellurics), data integration, and modeling
Strong background in data processing, inversion, and 3D modeling
Strong leadership, analytical, and communication skills
Proven ability to deliver innovative solutions and support strategic business objectives

Job Responsibility

Drive business growth by identifying opportunities, shaping strategic initiatives, and fostering an entrepreneurial approach to execution
Lead complex geophysical investigations, including advanced imaging, mineral systems modeling, and integration of geophysical data for mining and infrastructure projects
Design, implement, and manage multi-platform geophysical programs (airborne, ground, borehole, and drone), ensuring the integrity and accuracy of acquired data
Provide expert technical input on exploration strategy, target generation, and regional development programs. Contribute technical recommendations for potential land acquisitions and mine development projects
Conduct advanced analysis and 2D/3D modeling of geophysical data (magnetic, gravity, electromagnetic (EM), induced polarization (IP), seismic, radiometric, etc.) to produce accurate subsurface interpretations
Integrate geophysical data seamlessly with geological, structural, geochemical, and remote sensing datasets. Oversee all QA/QC procedures for geophysical data processing and inversion
Prepare and defend technical proposals, client presentations, and bid documents, serving as a named expert in client engagements
Act as the internal technical authority and provide expert guidance to geologists and engineers on geophysical methods. Mentor and train junior staff, fostering a culture of technical excellence
Collaborate with multidisciplinary teams to deliver integrated solutions and support cross-border project initiatives
Engage with clients through workshops, technical presentations, and bid defenses, building trust and credibility

Fulltime

Staff / Principal Machine Learning Engineer, Serving

Inworld AI

Location:
United States , Mountain View

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 23, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Staff / Principal Machine Learning Engineer, Serving