Member of Technical Staff, Applied Research Job at Fireworks AI (San Mateo)

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

Member of Technical Staff – Backend

As a backend engineer at Inflection, you will own the platforms, systems, and se...

Location

United States , Palo Alto

Salary:

175000.00 - 350000.00 USD / Year

Inflection AI

Expiration Date

Until further notice

Requirements

5+ years of experience building and scaling backend systems for high-throughput applications
Fluent in building distributed systems with Python, Go, Rust, or similar languages
Comfortable with cloud-native architectures (e.g., Kubernetes, gRPC, Postgres, Redis, Kafka)
Owned backend services end-to-end—from design and implementation to deployment, monitoring, and debugging
Thrive in fast-paced environments where you can move quickly without sacrificing engineering rigor
Proactively improve tooling and infrastructure to support teammates’ workflows and reliability goals
Communicate clearly across disciplines and take pride in solving user-facing problems with clean backend solutions
Have a bachelor’s degree or equivalent in a related field to the offered position requirements

Job Responsibility

Design and implement scalable backend systems and APIs that power production LLM experiences, including agentic workflows, memory systems, and tool integrations
Build and operate high-availability infrastructure to support real-time inference, retrieval, and conversation pipelines
Develop internal platforms to improve engineering productivity—CI/CD pipelines, service templates, observability frameworks, and rollout tooling
Collaborate closely with applied research and frontend teams to rapidly prototype, ship, and iterate on end-user features
Ensure systems meet our high bar for security, uptime, and latency—through incident response, load testing, monitoring, and automation
Participate in on-call rotations to maintain the reliability of the services you build

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

Technical Manager URNANO

The candidate will independently perform complex laboratory tasks, including pla...

Location

United States of America , Rochester

Salary:

77216.00 - 115824.00 USD / Year

University of Rochester

Expiration Date

Until further notice

Requirements

Masters degree or higher with major course work in a relevant science or engineering discipline (e.g. microelectronics/optics manufacture, applied physics, physics, chemistry, earth science, mechanical engineering, chemical engineering, biomedical engineering or related academic fields)
Three years of related work experience involving direct assistance to researchers
Three or more years of experience in managing facilities, operations, maintenance, space and equipment in a research or educational setting
Three or more years of experience with the operation and use of electron microscopes and associated sample preparation and characterization
Working knowledge of state-of-the-art scanning electron microscopes (SEM), electron spectroscopy (i.e. EDS), focused ion beam (FIB) preparation of samples, transmission electron microscopy (TEM), physical vapor deposition tools, reactive ion (plasma) processing, wafer scale silicon and associated oxide processing, soft/hard contact lithography and wet chemical processing
Knowledge of Intellectual property law and guidelines is a plus
Ability to design and properly perform all phases of set-up, operation, and repair of complex research and instructional equipment related to electron microscopy instrumentation and ancillary equipment such as specimen preparation equipment
Ability to apply advanced knowledge of principles, concepts and methods related to the laboratory operation, performance
Ability to investigate, devise and help carry out plans for continual renovation and upgrade of equipment and laboratory facilities, including potential new equipment acquisitions to advance the research capabilities of the facility
Ability to develop and perform complex mechanical, electrical, and/or electronic troubleshooting using technical expertise and experience

Job Responsibility

Provides technical operations, directs research and training, and leads efforts to advance highly specialized scientific equipment and facilities within the University of Rochester Integrated Nanosystems Center
Independently perform complex laboratory tasks, including planning and conducting of complete projects of limited scope and or a portion of a larger and more diverse project led by UR PIs
Interface as a primary trainer and mentor for complex laboratory processes for students (undergrad and graduate), faculty, staff and corporate users
Have both classroom and laboratory teaching duties related to microscopy and nanotechnology
Provides engineering services in support of engineering and physical science research activities, encompassing sample characterization, mechanical, electrical, computer, or electronic design, systems analysis, feasibility analysis, instrumentation design, etc., the solution of engineering problems, the development of engineering projects and the supervision of fabrication
Works independently with only occasional suggestions in modifying, varying or adapting standard laboratory procedures to meet special needs of research projects
Performs analyses and scientific data reductions by using standard methods and develops modifications of standard methods to meet special situations
Searches literature for reference to technical problems involved in research projects
writes standard operating procedures (SOPs)
prepares charts, graphs and tables

Fulltime

Member of Technical Staff, Applied AI Engineer

We’re hiring a Applied AI Engineer to join a fast‑moving, high‑ownership team bu...

Location

United States , Mountain View

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
2+ years shipping production-level code, models, or data analysis.
1+ years using AI-assisted coding and analysis techniques.
Experience working on small teams and mid-stage startup environments.
Experience working on AI products.
PhD in engineering, applied math, statistics, or related analytical field.
4+ years shipping production-level code, models, or data analysis.
Deep experience building from zero-to-one.
Hands on work hillclimbing AI evaluations.

Job Responsibility

LLM Feature & Agent Development
Design and ship LLM‑powered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions.
Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.
Prototype new capabilities rapidly and iterate based on user signals and evaluation data.
Evaluation, Hillclimbing & Quality Systems
Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.
Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance.
Analyze failure modes, design mitigations, and drive systematic improvements across the stack.
LLM Tooling & Internal Infrastructure
Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines

Fulltime

Senior Member of Technical Staff, MLE

As a Member of Technical Staff on our Applied ML team, you will work directly wi...

Location

Saudi Arabia; United Arab Emirates , Riyadh; Dubai

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Prior experience in leading ML teams in applied research and production
Prior experience in setting as well as executing technical direction to build new or to refine existing products
Prior experience in working cross-discipline in matrixed organizations
Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
Experience using large-scale distributed training and inference
Strong mentorship, communication, and problem-solving skills
A demonstrated passion for applied ML models and products
Working proficiency in Arabic

Job Responsibility

Plan and execute large-group projects that carry through from ideation to production
Bring cross-functional alignment across engineering, product and other disciplines
Mentor a distributed team of engineers in subject matter expertise
Identify opportunities and gaps in existing models and strategize what to work on
Work closely with product teams to develop solutions
Engage in collaborations with our partner organizations
Assist our legal teams with preparation of patents on developed IP

What we offer

An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Fulltime

Member of Technical Staff, MLE

As a Member of Technical Staff on our Applied ML team, you will work directly wi...

Location

Korea

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Prior experience in leading ML teams in applied research and production
Prior experience in setting as well as executing technical direction to build new or to refine existing products
Prior experience in working cross-discipline in matrixed organizations
Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
Experience using large-scale distributed training and inference
Strong mentorship, communication, and problem-solving skills
A demonstrated passion for applied ML models and products
Working proficiency in Korean, fluency preferred

Job Responsibility

Plan and execute large-group projects that carry through from ideation to production
Bring cross-functional alignment across engineering, product and other disciplines
Mentor a distributed team of engineers in subject matter expertise
Identify opportunities and gaps in existing models and strategize what to work on
Work closely with product teams to develop solutions
Engage in collaborations with our partner organizations
Assist our legal teams with preparation of patents on developed IP

What we offer

An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Fulltime

Member of Technical Staff, MLE

As a Member of Technical Staff on our Applied ML team, you will work directly wi...

Location

United Kingdom; France , London; Paris

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Prior experience in leading ML teams in applied research and production
Prior experience in setting as well as executing technical direction to build new or to refine existing products
Prior experience in working cross-discipline in matrixed organizations
Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
Experience using large-scale distributed training and inference
Strong mentorship, communication, and problem-solving skills
A demonstrated passion for applied ML models and products

Job Responsibility

Plan and execute large-group projects that carry through from ideation to production
Bring cross-functional alignment across engineering, product and other disciplines
Mentor a distributed team of engineers in subject matter expertise
Identify opportunities and gaps in existing models and strategize what to work on
Work closely with product teams to develop solutions
Engage in collaborations with our partner organizations
Assist our legal teams with preparation of patents on developed IP

What we offer

An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Fulltime

Member of Technical Staff, Applied Scientist - Windows Copilot

The Windows Copilot team is at the forefront of redefining how AI enhances every...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
Proven track record of deploying machine learning models in large-scale production environments.
9+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.
4+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.

Job Responsibility

Develop and refine data pipelines and infrastructure to support AI model development for Copilot.
Collaborate with research teams to integrate cutting-edge AI advancements into production systems.
Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.
Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.
Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot’s intelligence.
Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.
Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.
Embody our Culture and Values.

Fulltime

Member of Technical Staff, Applied Research

Fireworks AI

Location:
United States , San Mateo

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 05, 2026

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