Research Engineer, Data Infrastructure Job at 1X Technologies (Palo Alto)

AI Research Engineer, Data Infrastructure

As a Research Engineer in Infrastructure, you will design and implement a robust...

Location

United States , Palo Alto

Salary:

180000.00 - 250000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong experience in building data pipelines and ETL systems
Ability to design and implement systems for data collection and management from robotic fleets
Familiarity with architectures that span on-robot components, on-premise clusters, and cloud infrastructure
Experience with data labeling tools or building dataset visualization and annotation tooling
Proficiency in creating or applying machine learning models for dataset organization and automated labeling

Job Responsibility

Optimize operational efficiency of data collection across the NEO robot fleet
Design intelligent triggers to determine when and what data should be uploaded from the robots
Automate ETL pipelines to make fleet-wide data easily queryable and training-ready
Collaborate with external dataset providers to prepare diverse multi-modal pre-training datasets
Build frontend tools for visualizing and automating the labeling of large datasets
Develop machine learning models for automatic dataset labeling and organization

What we offer

Equity
Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Fulltime

Software Engineer, Data Infrastructure

The Data Infrastructure team at Figma builds and operates the foundational platf...

Location

United States , San Francisco; New York

Salary:

149000.00 - 350000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

5+ years of Software Engineering experience, specifically in backend or infrastructure engineering
Experience designing and building distributed data infrastructure at scale
Strong expertise in batch and streaming data processing technologies such as Spark, Flink, Kafka, or Airflow/Dagster
A proven track record of impact-driven problem-solving in a fast-paced environment
A strong sense of engineering excellence, with a focus on high-quality, reliable, and performant systems
Excellent technical communication skills, with experience working across both technical and non-technical counterparts
Experience mentoring and supporting engineers, fostering a culture of learning and technical excellence

Job Responsibility

Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence
Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company
Manage data ingestion, movement, and processing through core platforms like Snowflake, our ML Datalake, and real-time streaming systems
Improve data reliability, consistency, and performance, ensuring high-quality data for engineering, research, and business stakeholders
Collaborate with AI researchers, data scientists, product engineers, and business teams to understand data needs and build scalable solutions
Drive technical decisions and best practices for data ingestion, orchestration, processing, and storage

What we offer

equity
health, dental & vision
retirement with company contribution
parental leave & reproductive or family planning support
mental health & wellness benefits
generous PTO
company recharge days
a learning & development stipend
a work from home stipend
cell phone reimbursement

Fulltime

AI Research Infrastructure Engineer

Block is scaling Customer Insights into an AI-powered insights accelerator that ...

Location

United States , Bay Area

Salary:

168300.00 - 297000.00 USD / Year

Block

Expiration Date

Until further notice

Requirements

7+ years of experience in research, automation implementation, analytics, or related technical fields with hands-on workflow optimization experience
3+ years implementing AI/ML solutions, with experience in automation, LLM integration, or applied AI/analytics workflows
Hands-on technical skills in programming languages (Python, R, SQL) for automation development, API/MCP integrations, cloud platforms, and research data pipeline creation
Experience with research and analytic platforms and tools (Qualtrics, Snowflake, etc) or transferable experience with analytics and automation platforms
Strong technical communication and translation skills with ability to make complex AI/ML concepts, data architecture decisions, and automation workflows accessible and actionable for researchers, product managers, and business stakeholders
Proven ability to build stakeholder confidence and alignment during technology transformation
Strong project management skills with ability to coordinate multiple complex automation initiatives, manage competing priorities, and deliver measurable operational efficiency gains (reduced cycle times, improved quality outcomes, increased research capacity)

Job Responsibility

Design, build, and deploy AI agents and agentic workflows that automate research operations from study design through insights delivery, using LLMs, prompt engineering, MCP (Model Context Protocol) integrations, and workflow orchestration integrated with existing research and analytics tech stack
Design, build, and maintain automated data pipelines that ingest, transform, and unify research data from diverse sources (surveys, transcripts, analytics, behavioral logs) into AI-ready repositories with RAG capabilities for instant insight access via tools like Goose
Architect ETL/ELT frameworks using Python, SQL or equivalent tools to ensure data consistency, traceability, and scalability
Develop data models and schemas for research metadata, participant data, and AI-generated insights to support efficient querying and analysis
Design and prototype research automation systems using AI/ML techniques, partnering with design & engineering teams to productionize solutions
Partner with engineering, design, and platform teams to integrate research automation systems with Block's tech stack (i.e. Goose, GitHub, etc.) and establish governance frameworks for quality, ethics, and compliance
Mentor team members on AI agent development, agentic system design, and research automation best practices to build organizational capabilities in intelligent automation

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

Cloud Technical Architect / Data DevOps Engineer

The role involves designing, implementing, and optimizing scalable Big Data and ...

Location

United Kingdom , Bristol

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

An organised and methodical approach
Excellent time keeping and task prioritisation skills
An ability to provide clear and concise updates
An ability to convey technical concepts to all levels of audience
Data engineering skills – ETL/ELT
Technical implementation skills – application of industry best practices & designs patterns
Technical advisory skills – experience in researching technological products / services with the intent to provide advice on system improvements
Experience of working in hybrid environments with both classical and DevOps
Excellent written & spoken English skills
Excellent knowledge of Linux operating system administration and implementation

Job Responsibility

Detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling, self-healing systems
Participating in the full lifecycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between
Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies
Engaging and collaborating with both internal and external teams and be a confident participant as well as a leader
Assisting with solution improvement activities driven either by the project or service
Support the design and development of new capabilities, preparing solution options, investigating technology, designing and running proof of concepts, providing assessments, advice and solution options, providing high level and low level design documentation
Cloud Engineering capability to leverage Public Cloud platform using automated build processes deployed using Infrastructure as Code
Provide technical challenge and assurance throughout development and delivery of work
Develop re-useable common solutions and patterns to reduce development lead times, improve commonality and lowering Total Cost of Ownership
Work independently and/or within a team using a DevOps way of working

What we offer

Extensive social benefits
Flexible working hours
Competitive salary
Shared values
Equal opportunities
Work-life balance
Evolving career opportunities
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing

Fulltime

Data Engineer

Barbaricum is seeking a Data Engineer to provide support an emerging capability ...

Location

United States , Omaha

Salary:

Not provided

Barbaricum

Expiration Date

Until further notice

Requirements

Active DoD Top Secret/SCI clearance required
8+ years of demonstrated experience in software engineering
Bachelor’s degree in computer science or a related field
8+ years of experience working with AWS big data technologies (S3, EC2) and demonstrate experience in distributed data processing, Data Modeling, ETL Development, and/or Data Warehousing
Demonstrated mid-level knowledge of software engineering best practices across the development lifecycle
3+ years of experience using analytical concepts and statistical techniques
8+ years of demonstrated experience across Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science especially around software engineering and/or designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence

Job Responsibility

Design, implement, and operate data management systems for intelligence needs
Use Python to automate data workflows
Design algorithms databases, and pipelines to access, and optimize data retrieval, storage, use, integration and management by different data regimes and digital systems
Work with data users to determine, create, and populate optimal data architectures, structures, and systems
and plan, design, and optimize data throughput and query performance
Participate in the selection of backend database technologies (e.g. SQL, NoSQL, etc.), its configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness
Assist and advise the Government with developing, constructing, and maintaining data architectures
Research, study, and present technical information, in the form of briefings or written papers, on relevant data engineering methodologies and technologies of interest to or as requested by the Government
Align data architecture, acquisition, and processes with intelligence and analytic requirements
Prepare data for predictive and prescriptive modeling deploying analytics programs, machine learning and statistical methods to find hidden patterns, discover tasks and processes which can be automated and make recommendations to streamline data processes and visualizations

Data Engineer

As a Data Engineer, you’ll build and refine the pipelines, data models, and serv...

Location

United States , Redmond

Salary:

155000.00 - 175000.00 USD / Year

2A Consulting

Expiration Date

Until further notice

Requirements

Proven ability to design and build end-to-end data systems, from ingestion through cleaning, structuring, storage, and serving
Experience building and shipping data products that deliver practical value
Demonstrated impact using AI models in data workflows (applied use, not ML research)
5+ years of software or data engineering experience, including at least 2 years of hands-on work with data pipelines
Comfortable defining architecture and starting systems from scratch, working independently in a small cross-functional team
Proficiency in Python, SQL, or similar languages used in data engineering workflows

Job Responsibility

Build and maintain core data pipelines
Build and maintain end-to-end ingestion pipelines for documents, datasets, code repositories, videos, transcripts, and internal knowledge sources
Clean, normalize, structure, and store data in formats that support both web applications and AI-driven use cases
Use “out of the box” Microsoft tools—such as Fabric, Azure services, Cosmos DB, or Copilot Studio—to create reliable, maintainable systems
Enrich and model research data
Use AI models to transform unstructured content into structured metadata and durable knowledge assets
Design the architecture and foundational data systems, establishing the patterns and infrastructure for a new, scalable environment
Develop and refine embeddings, vector indexes, and retrieval components to support semantic search and grounding scenarios
Build backend and data services
Build data services, APIs, and backend components that power internal applications and agent-supported workflows

What we offer

Flexible time-off plan
100% employer-paid medical, dental, and vision insurance
Employer-paid life insurance for those enrolled in medical coverage
401(k) plan with company match
Fertility, surrogacy, and adoption benefits
Fitness and caregiver benefits
Employee Assistance Program
100% employer-paid short- and long-term disability coverage

Fulltime

Senior Data Engineer

As a senior member of our engineering team, you will take ownership of critical ...

Location

Poland

Salary:

Not provided

Userlane GmbH

Expiration Date

Until further notice

Requirements

Minimum of 5 years of hands-on experience in designing and developing data processing systems
Experience being part of a team of software engineers and helping establish processes from scratch
Familiarity with DBMS like ClickHouse or a different SQL-based OLAP database
Experience with various data engineering tools like Airflow, Kafka, dbt
Experience building and maintaining applications with the following languages: Python, Golang, Typescript
Knowledge of container technologies like Docker and Kubernetes
Experience with CI/CD pipelines and automated testing
Ability to solve problems and balance structure with creativity
Ability to operate independently and apply strategic thinking with technical depth
Willingness to share information and skills with the team

Job Responsibility

Shape and maintain our various data and backend components - DBs, APIs and services
Understand business requirements and analyze their impact on the design of our software services and tools
Identify architectural changes needed in our infrastructure to support a smooth process of adding new features
Research, propose, and deliver changes to our software architecture to address our engineering and product requirements
Design, develop, and maintain a solid and stable RESTful API based on industry standards and best practices
Collaborate with internal and external teams to deliver software that fits the overall ecosystem of our products
Stay up to date with the new trends and technologies that enable us to work smarter, not harder

What we offer

Team & Culture: A high-performance culture with great leadership and a fun, engaged, motivated, and diverse team with people from over 20 countries
Market: Userlane is among the global leaders in the rapidly growing Digital Adoption industry
Growth: We take you and your development seriously. You can expect weekly 121s, a personalised skills assessment and development plan, on the job coaching and a budget for events and training
Compensation: Significant financial upside with an attractive and incentivising package on B2B basis

Fulltime

AI Research Engineer

We're seeking a Research Engineer to conduct innovative research in key AI areas...

Location

United Kingdom

Salary:

Not provided

Prolific

Expiration Date

Until further notice

Requirements

5+ years of engineering experience with significant AI/ML focus
Demonstrated research experience through publications, open-source contributions, or impactful projects
Strong engineering fundamentals and experience implementing AI systems in production environments
Deep knowledge of LLM evaluation methodologies, alignment techniques, and model optimization approaches
Experience with model fine-tuning, adapters, quantization, and distillation frameworks
Self-motivation and ability to define and pursue research directions independently
Excellent understanding of current challenges in AI safety, reliability, and alignment
Strong communication skills and ability to explain complex research concepts clearly
Passion for staying current with the rapidly evolving AI research landscape

Job Responsibility

Lead independent research projects in AI evaluation methodologies, alignment techniques, and synthetic data generation
Design and implement novel evaluation frameworks for LLMs and agent systems that are grounded in human data
Contribute to the academic AI community through publications and open-source contributions
Stay at the forefront of AI research and pioneer innovative approaches to tackle pressing open challenges in the field
Design and conduct rigorous experiments to study AI models and systems with sound methodological approaches
Develop scalable frameworks for systematic evaluation of model behaviours and capabilities
Create tools and frameworks that transform research insights into practical applications
Build infrastructure to support large-scale research experiments when needed
Apply knowledge of model fine-tuning, optimization techniques, distillation, and other ML engineering practices to support research goals
Work closely with ML engineers, data scientists, and product teams to translate research insights into practical applications

What we offer

competitive salary
benefits
remote working
impactful, mission-driven culture

Research Engineer, Data Infrastructure

1X Technologies

Location:
United States , Palo Alto

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 01, 2025

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