Member of Technical Staff, Research Tooling & Data Platform Job at Runway

Member of Technical Staff - Platform Engineer

Platform Engineer to join our team building backend infrastructure for new ML-po...

Location

United States , Palo Alto

Salary:

175000.00 - 350000.00 USD / Year

Inflection AI

Expiration Date

Until further notice

Requirements

Backend engineering experience with Python, TypeScript, or Node.js
Hands-on experience working with production PyTorch models, model checkpoints, and inference logic
Strong knowledge of building APIs and services that are scalable, stable, and secure
Passion for bridging backend engineering and ML systems, especially at the infrastructure layer
Familiarity with tools such as FastAPI, Postgres, Redis, Kubernetes, and React
Desire to be hands-on and contribute to shaping the foundation of a new enterprise ML product
Have a bachelor’s degree or equivalent in a related field to the offered position requirements

Job Responsibility

Build and maintain backend services to support LLM integration, inference orchestration, and data flow
Write clean, reliable Python code for experimentation, model integration, and production systems
Collaborate closely with ML researchers to rapidly iterate on product ideas and deploy features
Design and implement infrastructure to handle scalable inference workloads and enterprise-level use cases
Own system components and ensure reliability, observability, and maintainability from day one

What we offer

Diverse medical, dental and vision options
401k matching program
Unlimited paid time off
Parental leave and flexibility for all parents and caregivers
Support of country-specific visa needs for international employees living in the Bay Area
Competitive stock options

Member of Technical Staff, AI Training Infrastructure

As a Training Infrastructure Engineer, you'll design, build, and optimize the in...

Location

United States , San Mateo

Salary:

175000.00 - 220000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience
3+ years of experience with distributed systems and ML infrastructure
Experience with PyTorch
Proficiency in cloud platforms (AWS, GCP, Azure)
Experience with containerization, orchestration (Kubernetes, Docker)
Knowledge of distributed training techniques (data parallelism, model parallelism, FSDP)

Job Responsibility

Design and implement scalable infrastructure for large-scale model training workloads
Develop and maintain distributed training pipelines for LLMs and multimodal models
Optimize training performance across multiple GPUs, nodes, and data centers
Implement monitoring, logging, and debugging tools for training operations
Architect and maintain data storage solutions for large-scale training datasets
Automate infrastructure provisioning, scaling, and orchestration for model training
Collaborate with researchers to implement and optimize training methodologies
Analyze and improve efficiency, scalability, and cost-effectiveness of training systems
Troubleshoot complex performance issues in distributed training environments

What we offer

meaningful equity in a fast-growing startup
comprehensive benefits package

Fulltime

Member of Technical Staff, Cloud Infrastructure

As a Software Engineer on our Cloud Infrastructure team, you'll be at the forefr...

Location

United States , New York, NY; San Mateo, CA; Redwood City, CA

Salary:

175000.00 - 220000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
5+ years of experience designing and building backend infrastructure in cloud environments (e.g., AWS, GCP, Azure)
Proven experience in ML infrastructure and tooling (e.g., PyTorch, TensorFlow, Vertex AI, SageMaker, Kubernetes, etc.)
Strong software development skills in languages like Python, or C++
Deep understanding of distributed systems fundamentals: scheduling, orchestration, storage, networking, and compute optimization

Job Responsibility

Architect and build scalable, resilient, and high-performance backend infrastructure to support distributed training, inference, and data processing pipelines
Lead technical design discussions, mentor other engineers, and establish best practices for building and operating large-scale ML infrastructure
Design and implement core backend services (e.g., job schedulers, resource managers, autoscalers, model serving layers) with a focus on efficiency and low latency
Drive infrastructure optimization initiatives, including compute cost reduction, storage lifecycle management, and network performance tuning
Collaborate cross-functionally with ML, DevOps, and product teams to translate research and product needs into robust infrastructure solutions
Continuously evaluate and integrate cloud-native and open-source technologies (e.g., Kubernetes, Ray, Kubeflow, MLFlow) to enhance our platform’s capabilities and reliability
Own end-to-end systems from design to deployment and observability, with a strong emphasis on reliability, fault tolerance, and operational excellence

What we offer

Meaningful equity in a fast-growing startup
Competitive salary
Comprehensive benefits package

Fulltime

Feasibility Specialist

The Feasibility Specialist is responsible for supporting feasibility processes f...

Location

Australia

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

Korean/ English > Business level proficiency is a must
Supporting the Feasibility, Strategy, & Analytics Lead (FSAL) to ensure knowledge of the goals, scope and requirements of a Site Feasibility project, and ensures that high quality insights are delivered
Clinical Systems Support: Administer and maintain clinical trial management systems (CTMS) and other relevant Feasibility tools
Data Analysis: Perform research and data analysis to identify suitable clinical trial sites.
Feasibility Activities: Assist with the setup of feasibility studies, including outreach to potential sites.
Stakeholder Coordination: Communicate and coordinate with FSAL, site staff, and other stakeholders to support feasibility efforts
Troubleshooting: Address and resolve any issues or discrepancies in the feasibility process as they arise or as directed
Acts as a supportive team member for Regional Intelligence
Performs tasks for multiple Site Intelligence and Feasibility projects.
Able to manage a high volume of complex studies and sites

Job Responsibility

Supporting feasibility processes for clinical trials
Conducting research and data analysis to identify potential Clinical Trial Investigators and sites
Ensuring data accuracy in clinical systems
Collaborating with various internal stakeholders to assist in optimizing study design and execution
Engaging with clinical trial sites/Investigators to gather feasibility survey or additional requested data and ensure accurate and comprehensive responses.

Staff LLM Engineer

Join GoFundMe as our next Staff LLM Engineer in the Applied Science organization...

Location

Argentina , Buenos Aires

Salary:

Not provided

GoFundMe

Expiration Date

Until further notice

Requirements

7+ years of hands-on experience in machine learning, data science, or related fields, with a strong emphasis on research, scientific methodology, and practical engineering applications
Extensive knowledge of machine learning algorithms and statistical modeling, coupled with proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, and others
Experience with LLM-based applications and development, including commercial solutions such as OpenAI API and Anthropic, as well as open-source models and frameworks like Hugging Face, LangChain, Llama, etc.
Experience designing, developing, and deploying end-to-end machine learning systems, including data pipelines, model training and serving, and monitoring solutions
Strong leadership skills, including guiding projects and mentoring team members, fostering a collaborative and high-performing work environment that values continuous improvement and knowledge sharing
Ability to break down complex projects, effectively scope and sequence work, and manage timelines to ensure the timely and successful delivery of machine learning initiatives
Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders
Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred

Job Responsibility

Design and implement diverse AI and ML applications and workflows, including agents, batch inferencing processes, and real-time inferencing solutions
Design and contribute to the development of search and retrieval algorithms, recommender systems, personalization algorithms, and more
Lead the research and development of sophisticated machine learning models and model training and evaluation pipelines
Drive operational excellence by leading initiatives to streamline AI and machine learning workflows and establish standardized procedures to ensure consistent and high-quality outcomes across our AI/ML projects and systems
Continuously monitor and evaluate emerging AI and machine learning research and technologies, integrating relevant advancements to enhance our solutions
Collaborate with both technical and non-technical colleagues, including data scientists, software engineers, product managers, and business stakeholders, to drive the successful implementation of machine learning projects
Coach and mentor fellow engineers, contributing to our culture of collaboration, scientific inquiry, continuous learning, and engineering excellence
Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program

Lead DevOps Engineer

The Lead DevOps Engineer is a key resource for technology support for the Commis...

Location

United States , Philadelphia

Salary:

103700.00 - 134460.00 USD / Year

AMTRAK

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Systems, or Transportation Planning/Engineering
5+ years of experience in a DevOps or software development role, with specific experience in pipelines-as-code, CI/CD, and infrastructure-as-code
Extensive experience with PostgreSQL
Proficiency with versioning (preferably GitHub) and containerization (preferably Docker)
Strong understanding of cloud platforms (especially Azure and Digital Ocean)
Experience with scripting languages (e.g., Python, Go or Bash)
Ability to focus on business goals while ensuring development is completed on time
Proven ability to translate between technical and business language
Ability to identify, propose, and oversee the execution of business and IT solutions as well as interpret documents communicating business and IT needs and requirements
Excellent troubleshooting skills

Job Responsibility

Own and lead IT systems development
confirm requirements and specifications are clear, follow a documented development/build methodology, and make sure a robust unit, system, and integration testing regimen is followed to deliver solutions per designs
Provision and configure databases and cloud computing resources to support upcoming deployments
monitor, analyze, and optimize infrastructure and CI/CD pipelines for performance and cost-efficiency
create and update documentation as necessary to ensure architectures, designs, and other descriptions are up to date and describe the as-deployed system
Expand and manage the NEC Commission’s cloud infrastructure to support deployment of new tools and resources
Working with leadership, drive development of a technology roadmap for growing the NECC’s offerings to its members and the public
Ensure all work is in harmony with industry and organizational standards
Develop new data pipelines to support staff workstreams
automate and/or redesign existing data pipelines

What we offer

health, dental, and vision plans
health savings accounts
wellness programs
flexible spending accounts
401K retirement plan with employer match
life insurance
short and long term disability insurance
paid time off
back-up care
adoption assistance

Fulltime

Legal Administrative Assistant

We are looking for a contract Legal Administrative Assistant to provide essentia...

Location

United States , Buffalo

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Education: High school diploma or equivalent required
a bachelor’s degree or certification in legal studies is preferred.
Experience: Minimum 1-2 years of experience in a legal assistant or administrative role
familiarity with legal terminology and court processes essential.
Technical Skills: Proficiency in Microsoft Office Suite (Word, Excel, Outlook) and legal software such as Clio, eDiscovery tools, or billing platforms.
Organizational Skills: Ability to prioritize tasks, multitask under tight deadlines, and manage sensitive information effectively.
Communication: Strong written and verbal communication skills, along with the ability to interact professionally with clients and team members.
Attention to Detail: Exceptional focus in reviewing documents and managing data to ensure accuracy and compliance.

Job Responsibility

Document Preparation: Draft, edit, format, and proofread legal documents, contracts, pleadings, subpoenas, and correspondence to ensure accuracy and compliance with legal standards.
Case File Management: Organize and maintain electronic and physical case files and databases, ensuring proper documentation and accessibility.
Scheduling: Coordinate appointments, hearings, depositions, and travel arrangements
maintain attorney calendars to avoid scheduling conflicts.
Communication: Interface with clients, opposing counsel, court personnel, and other stakeholders, serving as a point of contact to respond to inquiries and direct calls/emails appropriately.
Legal Research: Assist with basic legal research tasks such as locating statutes, case law, and information relevant to ongoing cases.
Billing and Invoicing: Track billable hours and assist with client invoicing to ensure proper and timely payment processing.
Compliance and Records: Ensure adherence to confidentiality protocols and compliance with lawful procedures under applicable legal guidelines.
Technology Utilization: Use legal software for case management, e-filing, and data organization, such as Clio, LexisNexis, or similar industry tools.
Team Collaboration: Work closely with attorneys, paralegals, and other administrative staff to support legal projects and office operations efficiently.

What we offer

medical
vision
dental
life and disability insurance
company 401(k) plan

Parttime

New

Staff Software Engineer

As a Staff Software Engineer, you will play a crucial role in building the next ...

Location

United States , Pleasanton

Salary:

193000.00 - 242000.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Bachelors Degree in, Computer Science or related disciplines
7+ years of professional experience in building Web scale highly available multi-tenant SaaS with focus on backend platform, frameworks, RESTful APIs and microservices
Expert in one or more object-oriented programming languages - C#, Java or C++
Fluent in .NET, SQL, No-SQL, data modeling and transactional flows
A solid computer science foundation including data structures, algorithms, and design patterns, with a proven track record of writing high concurrency, multi-threaded, secure, scalable code
Proven experience delivering and extending highly extensible, modular applications with various models of extensibility such as white-box, glass-box, gray-box, and black-box
Experience as a technical lead for design, architecture and code review of highly scalable distributed systems and event driven architecture
Superior analytical, problem-solving and system level performance analysis abilities
Excellent written and verbal communication skills
Adaptable team player with strong collaboration skills and a focus on results and value delivery

Job Responsibility

Provide technical expertise and leadership in requirements analysis, design, effort estimation, development, testing and delivery of highly scalable and secure distributed backend services
Work with product management, architects and other engineering teams to understand stated and unstated needs and turn them into functional and technical requirements
Maintain a strong sense of business value and return on investment in planning, design, and communication
Lead technical design and architecture discussions and help drive technical decisions while making appropriate trade-offs on technology, functionality, robustness, performance and extensibility
Estimate the project scope and timelines, and consistently deliver on those commitments
Implement, refine, and enforce software development techniques to ensure that the delivered features meet software integration, performance, security, and maintainability expectations
Research, test, benchmark, and evaluate new tools and technologies, and recommend ways to implement them in product development
Maintain high standards of software quality and technical excellence within the team by establishing good practices and writing clean, testable, maintainable, and secure code
Inspire a forward-thinking team of developers, acting as an agent of change and evangelist for a quality-first culture within the organization
Mentor and coach team members, guide them to solutions on complex design issues and do peer code reviews

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

Member of Technical Staff, Research Tooling & Data Platform

Runway

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 20, 2026

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