ML Research Engineer, ML Systems Job at Scale (San Francisco)

Senior Research Engineer

We are seeking a highly skilled Senior Research Engineer to collaborate closely ...

Location

United States

Salary:

210000.00 - 309000.00 USD / Year

Assembly

Expiration Date

Until further notice

Requirements

Strong expertise in the Python ecosystem and major ML frameworks (PyTorch, JAX)
Experience with lower-level programming (C++ or Rust preferred)
Deep understanding of GPU acceleration (CUDA, profiling, kernel-level optimization)
TPU experience is a strong plus
Proven ability to accelerate deep learning workloads using compiler frameworks, graph optimizations, and parallelization strategies
Solid understanding of the deep learning lifecycle: model design, large-scale training, data processing pipelines, and inference deployment
Strong debugging, profiling, and optimization skills in large-scale distributed environments
Excellent communication and collaboration skills, with the ability to clearly prioritize and articulate impact-driven technical solutions

Job Responsibility

Investigate and mitigate performance bottlenecks in large-scale distributed training and inference systems
Develop and implement both low-level (operator/kernel) and high-level (system/architecture) optimization strategies
Translate research models and prototypes into highly optimized, production-ready inference systems
Explore and integrate inference compilers such as TensorRT, ONNX Runtime, AWS Neuron and Inferentia, or similar technologies
Design, test, and deploy scalable solutions for parallel and distributed workloads on heterogeneous hardware
Facilitate knowledge transfer and bidirectional support between Research and Engineering teams, ensuring alignment of priorities and solutions

What we offer

competitive equity grants
100% employer-paid benefits
flexibility of being fully remote

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

Machine Learning/AI Research Engineer

Machine Learning/AI Research Engineer position focusing on advancing renewable o...

Location

Ireland , Galway; Dublin

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD degree (or Master's with equivalent research and innovation experience) in a relevant discipline (e.g., computer science, software engineering, electrical engineering, math, physics, statistics, mechanical engineering, etc.)
Proven record of innovation with Deep Learning or with scientific and engineering computation involving the application of Machine Learning
Demonstrated experience with innovative solution development, developing proofs-of-concept, first-of-a-kind solutions, and technology transfer
Strong software development skills in Python and Pytorch
Strong application experience of Machine Learning with physical systems
Good understanding of digital twins, use of ML with Digital Twins, applications to sustainability
A strong science or engineering background with aptitude for system level analysis and modeling
Deep understanding of the relevant environment, ecosystem, trends, and literature
Excellent research and development skills
Ability to innovate, make research contributions, and bring ideas to reality in compelling ways

Job Responsibility

Develop and program integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications
Work with large scale computing frameworks, data analysis systems, and modeling environments
Use machine learning and statistical modeling techniques to improve product/system performance
Formulate descriptive, diagnostic, predictive and prescriptive insights/algorithms and translate technical specifications into code
Apply, optimize and scale deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations
Document procedures for installation and maintenance, complete programming, perform testing and debugging, define and monitor performance metrics
Provide thought leadership and technical influence internally and externally
Take innovative ideas and make them real – contributing along the full range from conception, to design, development, implementation, evaluation, and technology transfer
Collaborate with Hewlett Packard Labs' research teams and external partners

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Research Engineer, GenAI

You will be part of Kiddom’s Data Science team, building the foundation of our s...

Location

United States , San Francisco; New York

Salary:

175000.00 - 250000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets
1–2 years in a technical leadership role
Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization
Strong programming skills in Python
Fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments
Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders

Job Responsibility

Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine
Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes
Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs
Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization
Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks
Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth

What we offer

Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

Machine Learning Research Engineer

You will be part of Kiddom’s Data Science team, building the foundation of our s...

Location

United States , San Francisco; New York

Salary:

175000.00 - 250000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

Have 5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets, with 1–2 years in a technical leadership role
Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization
Strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments
Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders

Job Responsibility

Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine
Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes
Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs
Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization
Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks
Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth

What we offer

Competitive salary
Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

AI Researcher, Core ML

As an AI Researcher, you will be pushing the frontier of foundation model resear...

Location

United States , San Francisco

Salary:

160000.00 - 230000.00 USD / Year

Together AI

Expiration Date

Until further notice

Requirements

Strong background in Machine Learning
Experience in building state-of-the-art models at large scale
Experience in developing algorithms in areas such as optimization, model architecture, and data-centric optimizations
Passion in contributing to the open model ecosystem and pushing the frontier of open models
Excellent problem-solving and analytical skills
Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field

Job Responsibility

Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations, that significantly improve over state-of-the-art
Take advantage of the computational infrastructure of Together to create the best open models in their class
Understand and improve the full lifecycle of building open models
release and publish your insights (blogs, academic papers etc.)
Collaborate with cross-functional teams to deploy your models and make them available to a wider community and customer base
Stay up-to-date with the latest advancements in machine learning

What we offer

competitive compensation
startup equity
health insurance
other competitive benefits

Fulltime

Ai / Ml Engineer Iii

Leads R&D efforts, develops scalable AI systems, and contributes to strategic pr...

Location

Serbia , Belgrade

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

3+ years of programming experience in Python
Familiar with some of computer vision, machine learning and deep learning libraries (e.g. OpenCV, TensorFlow, Keras, PyTorch, Scikit-learn…)
Deep understanding of ML/AI architectures and applications
Strong in experimentation, scalability, and real-time systems
Advanced problem-solving and engineering judgment
Understands the latest innovations in machine learning and computer vision
Ability to design complex experiments and to communicate them clearly to other team members
Ability to design and develop components addressing the needs their research identified
Implement algorithms and solutions presented in papers
Advance projects to production (from prototype/research phase to production phase)

Job Responsibility

Owns and maintains major components and complex features of a project
Drives research initiatives and develops innovative algorithms
Implements advanced algorithms with awareness of tradeoffs
Coaches team members on ML concepts, best practices, and procedures
Occasionally collaborates cross-functionally on high-impact projects to integrate AI technologies into products and services
Demonstrates a strong understanding of how components and features impact the business, and ensures work is aligned with overall project outcomes
Stay updated on the latest AI trends
Write and review research reports and experiment results

Fulltime

ML Platform Engineer

We are seeking a Machine Learning Engineer to help build and scale our machine l...

Location

United States

Salary:

Not provided

Duetto

Expiration Date

Until further notice

Requirements

3+ years of experience in ML engineering or a similar role building and deploying machine learning models in production
Strong experience with AWS ML services (SageMaker, Lambda, EMR, ECR) for training, serving, and orchestrating model workflows
Hands-on experience with Kubernetes (e.g., EKS) for container orchestration and job execution at scale
Strong proficiency in Python, with exposure to ML/DL libraries such as TensorFlow, PyTorch, scikit-learn
Experience working with feature stores, data pipelines, and model versioning tools (e.g., SageMaker Feature Store, Feast, MLflow)
Familiarity with infrastructure-as-code and deployment tools such as Terraform, GitHub Actions, or similar CI/CD systems
Experience with logging and monitoring stacks such as Prometheus, Grafana, CloudWatch, or similar
Experience working in cross-functional teams with data scientists and DevOps engineers to bring models from research to production
Strong communication skills and ability to operate effectively in a fast-paced, ambiguous environment with shifting priorities

Job Responsibility

Develop, maintain, and scale machine learning pipelines for training, validation, and batch or real-time inference across thousands of hotel-specific models
Build reusable components to support model training, evaluation, deployment, and monitoring within a Kubernetes- and AWS-based environment
Partner with data scientists to translate notebooks and prototypes into production-grade, versioned training workflows
Implement and maintain feature engineering workflows, integrating with custom feature pipelines and supporting services
Collaborate with platform and DevOps teams to manage infrastructure-as-code (Terraform), automate deployment (CI/CD), and ensure reliability and security
Integrate model monitoring for performance metrics, drift detection, and alerting (using tools like Prometheus, CloudWatch, or Grafana)
Improve retraining, rollback, and model versioning strategies across different deployment contexts
Support experimentation infrastructure and A/B testing integrations for ML-based products

ML Research Engineer, ML Systems

Scale

Location:
United States , San Francisco ▼
Seattle
New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 20, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for ML Research Engineer, ML Systems

Senior Research Engineer

AI Research Engineer

Machine Learning/AI Research Engineer

Research Engineer, GenAI

Machine Learning Research Engineer

AI Researcher, Core ML

Ai / Ml Engineer Iii

ML Platform Engineer

ML Research Engineer, ML Systems

Scale

Location:United States , San Francisco ▼SeattleNew York

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:February 20, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for ML Research Engineer, ML Systems

Senior Research Engineer

AI Research Engineer

Machine Learning/AI Research Engineer

Research Engineer, GenAI

Machine Learning Research Engineer

AI Researcher, Core ML

Ai / Ml Engineer Iii

ML Platform Engineer

Location:
United States , San Francisco ▼
Seattle
New York

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
February 20, 2026