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Senior Machine Learning Scientist (USA Remote)
Ensure academic integrity and foster original thinking with advanced AI writing detection, similarity checking, and comprehensive feedback tools for educators.
Benefits:
Health Care Coverage
Education Reimbursement
Competitive Paid Time Off
4 Self-Care Days per year
Parental Leave
Education Requirements:
Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field
Experience Requirements:
Software engineering background with at least 8 years of experience
Other Requirements:
Proficiency in Python, SQL, Unix-based systems, git, and github
Machine / Deep Learning development skills (AWS SageMaker, Hugging Face, transformers, PyTorch)
Fluent in written and spoken English
Responsibilities:
Work with subject matter experts and product owners to determine what questions should be asked
Curate, generate, and annotate data and create optimal datasets
Develop and tune Machine Learning models
Utilize, adopt, and fine-tune Language Models
Stay current in the field and read research papers
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Principal Machine Learning Scientist (US Remote)
Ensure academic integrity and foster original thinking with advanced AI writing detection, similarity checking, and comprehensive feedback tools for educators.
Benefits:
Health Care Coverage
Education Reimbursement
Competitive Paid Time Off
Self-Care Days
Parental Leave
Education Requirements:
Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field
Experience Requirements:
At least 10 years of industry experience in Machine / Deep Learning, Computer Science and Software Engineering
Other Requirements:
Academic publications in peer reviewed conferences (NeurIPS, ICML, ICLR, etc.)
Deep Learning development skills (PyTorch, PyTorch Lightning, Ray, AWS SageMaker)
Understanding of Language Models and fine-tuning
Fluent in written and spoken English
Responsibilities:
Research and develop Machine Learning models and optimize for production
Explore ongoing product issues and recommend innovative ML/AI based solutions
Curate and generate optimal datasets following responsible practices
Investigate weaknesses of models in production and work on pragmatic solutions
Modify and fine-tune off the shelf models or develop novel models
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Senior Machine Learning Scientist - Applied Research (USA Remote)
Ensure academic integrity and foster original thinking with advanced AI writing detection, similarity checking, and comprehensive feedback tools for educators.
Benefits:
Health Care Coverage
Education Reimbursement
Competitive Paid Time Off
4 Self-Care Days per year
Parental Leave
Education Requirements:
Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field
Experience Requirements:
At least 5 years of industry experience in Machine / Deep Learning, Computer Science and Software Engineering
Other Requirements:
Academic publications in peer reviewed conferences
Machine / Deep Learning development skills (PyTorch, Hugging Face, Transformers)
Understanding of Language Models and industry-standard LM families
Fluent in written and spoken English
Responsibilities:
Research and develop production grade Machine Learning models
Recommend innovative ML/AI based solutions for product challenges
Curate and generate optimal datasets including SQL, no-SQL and web data
Investigate weaknesses of models in production
Fine-tune off the shelf models including LLMs via API and local hosting
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Senior Manager, Software Engineering (USA Remote)
Ensure academic integrity and foster original thinking with advanced AI writing detection, similarity checking, and comprehensive feedback tools for educators.
Benefits:
Health Care Coverage
Education Reimbursement
Competitive Paid Time Off
4 Self-Care Days per year
Parental Leave
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Experience Requirements:
10+ years of progressive engineering experience
5+ years of engineering leadership in a product-driven organization
Other Requirements:
Proven success in leading engineering efforts for desktop applications (e.g., C++)
Background in obfuscation and relevant tools
Expertise in Agile methodologies
Fluent in English
Responsibilities:
Lead and empower high-performing security-focused engineering teams
Embed secure software development lifecycle (SDLC) principles
Lead efforts in white-box, black-box, and grey-box testing
Guide secure desktop and cloud-based backend system development
Collaborate cross-functionally to identify and mitigate risks
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Senior Technical Product Owner
Ensure academic integrity and foster original thinking with advanced AI writing detection, similarity checking, and comprehensive feedback tools for educators.
Benefits:
Health Care Coverage
Education Reimbursement
Competitive Paid Time Off
Self-Care Days
Parental Leave
Experience Requirements:
5+ years of progressive experience as a Technical Product Owner, Sr. Technical Analyst, or former Engineer
Other Requirements:
Ability to discuss system architecture, API specifications, and database schemas
Knowledge of microservices and cloud platforms (AWS/Azure/GCP)
Command of Jira for backlog management
Responsibilities:
Master technical aspects of domain including architecture and infrastructure
Partner with Engineering Leaders to balance features with system health
Translate business feature roadmaps into measurable technical epics
Manage technical and functional dependencies across teams
Own the team's technical backlog and story refinement
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Business Operations Project Manager
Elevate enterprise customer service with an AI-driven platform that orchestrates human and AI agents to automate workflows and personalize every interaction.
Benefits:
Internal career opportunities
Fast-paced environment
Experience Requirements:
At least 5 years of experience as a Project Manager in a global software environment
Experience in leading discovery, solution suggestion and implementation phases
Hands-on experience with corporate applications like SFDC or Service Now
Experience in writing business requirement documents
Other Requirements:
Self-learning capabilities via data analysis and interviewing
Matrix management skills
Strong understanding of organization-wide issues
Experience in a consulting company is an advantage
Responsibilities:
Lead internal process-change projects from requirement definition to delivery
Manage discovery phases of new business processes
Perform business analysis and provide guidance on best practices
Lead process rollout including workshops, UAT, and training
Manage and support operational issues raised by post-sales units
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Cloud Architect
Elevate enterprise customer service with an AI-driven platform that orchestrates human and AI agents to automate workflows and personalize every interaction.
Benefits:
Opportunity to work on enterprise-scale initiatives
Autonomy to set standards
Internal career opportunities
Experience Requirements:
Proficiency in Python, PowerShell, and Bash scripting
Deep knowledge of AWS and Azure services
Experience with monitoring tools (CloudWatch, Grafana)
Other Requirements:
AWS Solutions Architect or Azure Architect certifications preferred
Experience with IaC tools like Terraform or CloudFormation
Willingness to come into office 2 days a week
Responsibilities:
Design and deploy AWS/Azure infrastructure using IaC tools
Implement networking (VPC, Direct Connect) and DNS (Route 53)
Optimize cloud resources for performance, security, and cost
Lead adoption of security controls (WAF, GuardDuty)
Automate operations with CI/CD pipelines
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Engineers that enjoy hard things (like compilers)
Build 10x more reliable AI pipelines with type-safe interfaces and structured outputs for Python, TypeScript, and Go developers using a dedicated DSL.
Benefits:
0.15% - 0.75% equity
Education Requirements:
Any (new grads ok)
Experience Requirements:
Any experience level
Other Requirements:
US citizen/visa only
Ability to learn Rust fast
Must be curious and fearless
Able to solve graph and tree problems
Responsibilities:
Solve hard problems like suspend/resume AI workflows
Design and implement tooling for developer experience
Scale LLM observability platform to handle billions of logs
Answer community questions regarding BAML usage
Explore unique syntaxes and graph visualizations from code
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Intern
Build 10x more reliable AI pipelines with type-safe interfaces and structured outputs for Python, TypeScript, and Go developers using a dedicated DSL.
Education Requirements:
Same requirements as full-time positions
Experience Requirements:
Same requirements as full-time positions
Other Requirements:
Include interest in intern position in application
Curious and fearless mindset
Ability to learn Rust fast
Responsibilities:
Same responsibilities as full-time engineering positions
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Account Executive
Deliver personalized customer experiences at scale using a predictable conversational AI platform that integrates voice, messaging, and generative AI for enterprises.
Benefits:
Medical, Dental, and Vision Insurance
401(k) Retirement Plan with 4% match
HSA & FSA Plans
Employee Stock Purchase Program (ESPP)
Flexible Paid Time Off (PTO)
Education Requirements:
Bachelor's Degree or equivalent
Experience Requirements:
6+ years of professional sales experience
4+ years managing large, complex enterprise software sales
Proven track record of success in SaaS, BPO, CX and CCaas platforms
Strategic Value-Based Selling experience
Deep understanding of transformational technology
Other Requirements:
Growth Mindset
Entrepreneurial Spirit
Customer-Obsessed
Responsibilities:
Accelerate growth in North American Enterprise Sales
Architect large-scale digital transformations
Meet and exceed revenue growth objectives
Position AI-led value proposition to C-level stakeholders
Maintain robust sales pipeline
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Director of Platform Operations
Secure a premium, AI-focused brand identity for personalized assistants and social platforms with this memorable six-letter domain name and branding package.
Experience Requirements:
Experience with selling products or software directly to customers online
7–12 years of experience in operations
3+ years in a senior-level or team lead capacity
Background in SaaS, digital marketplaces, or high-volume transactional platforms
Proven success managing cross-functional ops
Other Requirements:
Familiarity with tools like Intercom, Stripe, ClickUp, or equivalent systems
Analytical mindset with comfort in process design, automation, and continuous improvement
Excellent judgment in fast-paced, high-stakes operational decisions
Experience managing digital goods fulfillment
Responsibilities:
Lead execution of core operational functions—support, fulfillment, payouts, and fraud controls
Own helpdesk tools, ticket workflows, and customer service processes
Ensure purchased domains and other products are delivered to customers smoothly
Collaborate with core and growth product teams to identify pain points
Maintain systems for fraud detection, transaction integrity, and account security
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Sr Revenue Cycle Specialist
Eliminate manual data entry and streamline document workflows with AI-powered OCR that converts unstructured files into actionable data for enterprise teams.
Benefits:
Hybrid role
Tailored resume builder tool
Equity participation
Education Requirements:
Certification in Medical Billing/Coding (e.g., CPC, CPB, or CMRS) (nice to have)
Experience Requirements:
6+ years of experience in healthcare revenue cycle management
Deep understanding of billing workflows, payment posting, medical coding, and denials
Other Requirements:
Familiarity with electronic health record (EHR) systems
Strong analytical and process improvement skills
Comfortable working in a fast-paced, startup-style environment
Responsibilities:
Own and optimize end-to-end revenue cycle processes
Serve as the internal RCM expert for Sales, Implementation, and Product teams
Review and analyze billing data to identify automation opportunities
Document workflows and edge cases to inform product roadmap
Stay up-to-date on payer regulations and healthcare billing trends
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Director of Platform Operations
Secure a brand-ready domain using AI-powered discovery, curation, and trademark checks to build instant credibility for startups and established enterprises.
Experience Requirements:
7–12 years of experience in operations
3+ years in a senior-level or team lead capacity
Background in SaaS, digital marketplaces, or high-volume transactional platforms
Experience with selling products or software directly to customers online
Proven success managing cross-functional ops with product, engineering, and support
Other Requirements:
Familiarity with tools like Intercom, Stripe, ClickUp, or equivalent systems
Analytical mindset with comfort in process design and automation
Excellent judgment in fast-paced, high-stakes operational decisions
Experience managing digital goods fulfillment
Responsibilities:
Lead execution of core operational functions (support, fulfillment, payouts, fraud)
Own helpdesk tools, ticket workflows, and customer service processes
Ensure purchased domains and digital products are delivered reliably and on time
Collaborate with product teams to identify pain points and roll out new tools
Maintain systems for fraud detection, transaction integrity, and account security
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Director of Platform Operations
Acquire a premium, connection-focused .ai domain name to launch a personalized AI social networking or customer service platform with human-centric branding.
Experience Requirements:
7–12 years of experience in operations
3+ years in a senior-level or team lead capacity
Background in SaaS, digital marketplaces, or high-volume transactional platforms
Other Requirements:
Experience with selling products or software directly to customers online
Proven success managing cross-functional ops especially with product, engineering, and support
Familiarity with tools like Intercom, Stripe, ClickUp, or equivalent systems
Analytical mindset with comfort in process design, automation, and continuous improvement
Responsibilities:
Lead the execution of core operational functions—support, fulfillment, payouts, fraud controls
Own helpdesk tools, ticket workflows, and customer service processes
Ensure purchased domains and other products are delivered to customers smoothly
Work closely with core and growth product teams to identify pain points
Maintain systems for fraud detection, transaction integrity, and account security
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Director of Platform Operations
Secure brand-ready domain names using AI-driven discovery, linguistic checks, and audience insights to launch your business venture with professional confidence.
Experience Requirements:
7–12 years of experience in operations
3+ years in a senior-level or team lead capacity
Background in SaaS, digital marketplaces, or high-volume transactional platforms
Experience with selling products or software directly to customers online
Proven success managing cross-functional ops with product and engineering
Other Requirements:
Excellent judgment in fast-paced, high-stakes operational decisions
Familiarity with tools like Intercom, Stripe, ClickUp, or equivalent systems
Analytical mindset with comfort in process design and automation
Responsibilities:
Lead execution of core operational functions like support and fulfillment
Own helpdesk tools, ticket workflows, and customer service processes
Ensure purchased domains and products are delivered smoothly and on time
Collaborate with product teams to identify pain points and improvements
Maintain systems for fraud detection, transaction integrity, and security
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Frontend Software Engineering Lead
Build high-performance AI applications with ultra-fast inference for open-source models, offering serverless and on-demand GPU scaling for developers and teams.
Education Requirements:
Bachelor’s degree in Computer Science or a related field
Experience Requirements:
6+ years of professional experience in front-end development
2+ years of experience in a leadership role
Proven track record of delivering production-grade web applications
Other Requirements:
Proficiency in React, TypeScript, JavaScript, and Next.js
Knowledge of accessibility standards and internationalization
Experience in full-stack development and API design (preferred)
Must work full-time on-site at San Mateo office
Responsibilities:
Engineering ownership of fireworks.ai web application
Design, development, and testing of responsive web applications
Mentor and support a team of front-end engineers
Define and implement front-end architectural standards
Partner with Product, Design, and Backend Engineering
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Governance, Risk & Compliance (GRC) Lead
Build high-performance AI applications with ultra-fast inference for open-source models, offering serverless and on-demand GPU scaling for developers and teams.
Experience Requirements:
7+ years of experience in GRC roles
3+ years in a leadership capacity overseeing audit efforts
Experience leading GRC in a high-growth cloud-native environment
Demonstrated expertise with GRC platforms like Vanta
Other Requirements:
Excellent communication skills
Open to a hybrid schedule with in-office days on Monday, Wednesday, and Friday
Responsibilities:
Design and execute GRC strategy and implement frameworks (SOC 2, ISO 27001)
Oversee continuous monitoring activities across the compliance program
Serve as primary liaison for all external audit bodies
Establish and maintain a global privacy compliance program (GDPR, CCPA)
Develop and lead company-wide risk assessment program
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Member of Technical Staff, AI Training Infrastructure
Build high-performance AI applications with ultra-fast inference for open-source models, offering serverless and on-demand GPU scaling for developers and teams.
Benefits:
Meaningful equity
Competitive salary
Comprehensive benefits package
Education Requirements:
Bachelor's degree in Computer Science, Computer Engineering, or related field
Master's or PhD in Computer Science or related field (preferred)
Experience Requirements:
3+ years of experience with distributed systems and ML infrastructure
Experience with PyTorch
Experience with containerization and orchestration (Kubernetes, Docker)
Experience training LLMs or multimodal AI systems (preferred)
Other Requirements:
Proficiency in cloud platforms (AWS, GCP, Azure)
Knowledge of distributed training techniques (FSDP, parallelism)
Must work full-time on-site at San Mateo office
Responsibilities:
Design and implement scalable infrastructure for model training
Develop and maintain distributed training pipelines
Optimize training performance across multiple GPUs and nodes
Implement monitoring, logging, and debugging tools
Architect data storage solutions for training datasets
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Member of Technical Staff, Applied Research
Build high-performance AI applications with ultra-fast inference for open-source models, offering serverless and on-demand GPU scaling for developers and teams.
Education Requirements:
BS/MS in Computer Science, Electrical Engineering, Machine Learning, or related field
Experience Requirements:
Experience with PyTorch and modern Transformer architectures
Hands-on experience training, fine-tuning, or evaluating machine learning models
Solid computer science fundamentals
Experience working directly with customers (preferred)
Understanding of tuning techniques like SFT, DPO, RL (preferred)
Other Requirements:
Ability to operate in a fast-paced environment
Familiarity with cloud-native tooling (Docker, K8s)
Must work full-time on-site at San Mateo office
Responsibilities:
Work hands-on with customers to tune, evaluate, and deploy models
Serve as technical bridge between customer needs and infrastructure
Apply SFT / DPO / RL techniques for tailored model building
Diagnose system-wide problems for customer outcomes
Iterate model solutions based on real-world feedback
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Member of Technical Staff, Performance Optimization
Build high-performance AI applications with ultra-fast inference for open-source models, offering serverless and on-demand GPU scaling for developers and teams.
Benefits:
Meaningful equity
Competitive salary
Comprehensive benefits package
Education Requirements:
Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering
Master’s or PhD in Computer Science, Electrical Engineering, or related field (preferred)
Experience Requirements:
5+ years of experience in performance optimization or HPC
Proficiency in CUDA or ROCm
Experience with GPU profiling tools (Nsight, nvprof)
Familiarity with PyTorch
Experience with distributed system debugging
Other Requirements:
Deep understanding of GPU architecture
Must work full-time on-site at San Mateo office
Responsibilities:
Optimize system and GPU performance for AI workloads
Analyze latency, throughput, memory, and compute efficiency
Profile and resolve GPU- and kernel-level bottlenecks
Implement low-level optimizations using CUDA or Triton
Scale inference and training across multi-GPU environments
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