Staff Applied AI Engineer Job at Zapier

Staff Applied AI Engineer

A rapidly growing venture-backed startup is on a mission to transform how people...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

STEM degree from a top school (bonus points for Masters or PhD)
5+ years of hands-on experience applying AI/ML techniques to real-world, user-facing products
Strong software engineering background with a track record of shipping at scale
Experience tuning and deploying LLMs
Comfortable moving quickly, testing new approaches, and balancing experimentation with reliability

Job Responsibility

Build and refine AI-driven product features that feel intuitive and responsive
Apply data from real users to personalise interactions and improve predictive performance
Experiment with model fine-tuning, retrieval methods, and feedback loops to maximise accuracy
Develop specialised AI-powered workflows that simplify complex technical tasks
Collaborate with engineers and product leaders to ship enhancements rapidly and iteratively

What we offer

meaningful equity on offer

Fulltime

Staff AI Engineer

As a Staff AI Engineer you will get to play with petabyte data gathered from a m...

Location

Salary:

Not provided

Balbix

Expiration Date

Until further notice

Requirements

Ph.D./M.S. in Computer Science or Electrical Engineering with hands-on software engineering experience
5+ years of experience in the field of Machine Learning and programming in Python
Expertise in programming concepts and building large scale systems
Knowledge of state-of-the-art algorithms combined with expertise in statistical analysis and modeling
Robust understanding of NLP, Probabilistic Graphical Models, Deep Learning with graphs structures, model explainability, etc.
Foundational knowledge of probability, statistics and linear algebra

Job Responsibility

Design and develop an ensemble of classical and deep learning algorithms for modeling complex interactions between people, software, infrastructure and policies in an enterprise environment
Design and implement algorithms for statistical modeling of enterprise cybersecurity risk
Apply data-mining, AI and graph analysis techniques to address a variety of problems including modeling, relevance and recommendation
Build production quality solutions that balance complexity and performance
Participate in the engineering life-cycle at Balbix, including designing high quality ML infrastructure and data pipelines, writing production code, conducting code reviews and working alongside our infrastructure and reliability teams
Drive the architecture and the usage of open source software library for numerical computation such as TensorFlow, PyTorch, and ScikitLearn

Fulltime

Manager, Software Engineering - Expressive AI

The Expressive AI team is responsible for applying generative AI models to desig...

Location

United States , New York

Salary:

250000.00 - 350000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

4+ years of experience hiring and leading teams as an engineering manager
Ability to think strategically about engineering and product roadmaps, on both short and longer term time horizons
Demonstrated experience applying advancements in AI from both engineering and product perspectives, with a specific focus on LLMs, diffusion models, and image/video generation
Proven leadership in building high-performing, highly engaged engineering teams, with a strong track record of motivating, mentoring, and guiding senior engineers while hiring top industry talent
Exceptional ability to work cross-functionally across Product, Design, and Marketing, as well as collaborating with other engineering teams to ship both customer and internal-facing projects
A strong sense of technical curiosity, a willingness to learn and grow alongside your team, and a genuine passion for design and craft

Job Responsibility

Partner with Product and Design to build and execute a long-term roadmap that delivers a world-class user experience for designers in Figma
Work closely with cross-functional partners and engineering teams to push the boundaries of what’s possible through the application of AI to creative problems
Hire, manage, support, and develop a team of engineers, including staff level engineers
Establish trust within and across teams by creating accountability and a positive work environment in partnership with other organizational leaders
Grow your career within an engaged and creative engineering community
Help drive initiatives through hiring, community events, and cross-functional programs across Figma

What we offer

equity
health, dental & vision benefits
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

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
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

Fulltime

Member of Technical Staff, Applied Research

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

260000.00 - 370000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics
Expertise with programming such as Python, C++, CUDA, and deep learning frameworks such as TensorFlow and PyTorch
Very strong programming skills and ability to write clean and maintainable research code
Deep interest in building human-in-the-loop systems for creativity
Passion for seeing research through from initial conception to eventual application
Experience mentoring and teaching other researchers
Strong communication, collaboration, and documentation skills

Job Responsibility

Develop cutting-edge computer vision and generative models to power creative tools
Work with backend team to bring research models to production
Work with design and frontend engineering team to ensure machine learning models work in harmony with user interfaces

Fulltime

Staff Machine Learning Engineer

A rapidly growing venture-backed startup is on a mission to transform how people...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

STEM degree from a top school (bonus points for Masters or PhD)
5+ years of hands-on experience applying AI/ML techniques to real-world, user-facing products
Strong software engineering background with a track record of shipping at scale
Experience tuning and deploying LLMs
Comfortable moving quickly, testing new approaches, and balancing experimentation with reliability

Job Responsibility

Build and refine AI-driven product features that feel intuitive and responsive
Apply data from real users to personalize interactions and improve predictive performance
Experiment with model fine-tuning, retrieval methods, and feedback loops to maximize accuracy
Develop specialized AI-powered workflows that simplify complex technical tasks
Collaborate with engineers and product leaders to ship enhancements rapidly and iteratively

What we offer

meaningful equity on offer

Fulltime

Staff Machine Learning Engineer

A rapidly growing venture-backed startup is on a mission to transform how people...

Location

United States; Canada

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

STEM degree from a top school (bonus points for Masters or PhD)
5+ years of hands-on experience applying AI/ML techniques to real-world, user-facing products
Strong software engineering background with a track record of shipping at scale
Experience tuning and deploying LLMs
Comfortable moving quickly, testing new approaches, and balancing experimentation with reliability

Job Responsibility

Build and refine AI-driven product features that feel intuitive and responsive
Apply data from real users to personalize interactions and improve predictive performance
Experiment with model fine-tuning, retrieval methods, and feedback loops to maximize accuracy
Develop specialized AI-powered workflows that simplify complex technical tasks
Collaborate with engineers and product leaders to ship enhancements rapidly and iteratively

What we offer

meaningful equity on offer

Fulltime

Staff Backend Engineer

As a Staff Software Engineer at Apollo, you’ll be responsible for leading the te...

Location

India

Salary:

Not provided

Apollo.io

Expiration Date

Until further notice

Requirements

10+ years of deep experience building and scaling backend systems in production environments
Proven ability to develop features with performance, reliability, and scalability in mind
Strong product intuition—balancing technical scope with MVP delivery
Expertise with message queues, background jobs, and distributed system patterns
Familiarity with observability tools (e.g., GCP Logging, Prometheus, NewRelic)
Demonstrated ability to leverage AI tools (e.g., code generation, debugging, automation) and stay current with emerging AI trends
Experience with LLM architecture, pipelines, or applied AI tooling is a strong bonus

Job Responsibility

Architect and build scalable, high-availability systems that run 24/7 and support mission-critical workflows
Own and deliver multi-tier, high-volume applications with performance, accessibility, and resilience in mind
Write high-quality, maintainable code with a strong focus on developer experience and system performance
Drive and uphold engineering best practices, including code reviews, test coverage, monitoring, and observability
Provide technical leadership across cross-functional teams, guiding architecture, trade-offs, and execution
Mentor and sponsor engineers to grow their impact and deepen engineering culture
Lead large-scale, cross-team projects from concept to production
Deliver clear, objective feedback to peers and junior engineers through structured reviews and 1:1s

Staff Applied AI Engineer

Zapier

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

Expiration:
March 31, 2026

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Staff Applied AI Engineer

Zapier

Location:

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:February 21, 2026

Expiration:March 31, 2026

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Category:
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Job Posted:
February 21, 2026

Expiration:
March 31, 2026