CrawlJobs Logo

Senior Machine Learning Engineer

United States, San Francisco 200000.00 - 300000.00 USD / Year · Job Posted February 21, 2026
Apply Position
Job Link Share

Job Description

Patreon is looking for a Senior Machine Learning Engineer to support our mission of funding the creative class. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy.

Job Responsibility

  • Conduct exploratory data analyses and proof-of-concept machine learning models to understand opportunities and potential project impact
  • Collaborate with cross-functional partners, such as product, engineering, design, legal, and trust and safety to design effective machine learning solutions
  • Analyze and prepare training data, including using crowdsourcing data labeling techniques
  • Train and iterate on machine learning models using novel techniques
  • Deploy machine learning models to production and write backend code when necessary to properly deploy the model
  • Debug models when observability shows performance gaps, and iterate on models

Requirements

  • Minimum of 5 years of experience working in an end-to-end machine learning team environment: analyzing data, building and iterating on machine learning models, writing production-level code and shipping to production, monitoring performance, and A/B testing
  • Write clean and robust code in Python or other programming languages and have a keen eye for detail in code reviews
  • Experience debugging complex systems with a systematic approach
  • Curious mindset and dive deeply into datasets to understand our product and customers
  • Solid communication skills and write clear documentation
  • Growth mindset and aspire to continuously improve your soft and technical skills
  • Energized about building the first version of systems and are passionate about empowering creators with new machine learning solutions
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or the equivalent

What we offer

  • Equity plans
  • Healthcare
  • Flexible time off
  • Company holidays and recharge days
  • Commuter benefits
  • Lifestyle stipends
  • Learning and development stipends
  • Patronage
  • Parental leave
  • 401k plan with matching

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior Machine Learning Engineer

8 matching positions

Senior AI and Machine Learning Engineer

We are seeking Senior AI/ML & Innovation Engineer who will be leading initiative...
Location
Location
United States , Aguadilla
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • Typically, 7-10 years’ experience
  • Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
  • A strong foundation in mathematics and statistics
  • Proficiency in programming languages such as Python, R, or Java
  • Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
  • Experience in Cloud Infrastructure (AWS, Azure, etc)
  • Knowledge of Open Source, Linux, etc
  • Understanding of Devops, SRE
  • Advanced knowledge and experience in deep learning
Job Responsibility
Job Responsibility
  • Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
  • Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
  • Develops, implements, and optimizes machine learning models and algorithms
  • Deploys machine learning models into production environments
  • Monitors the performance of deployed models
  • Organizes and leads comprehensive design review sessions
  • Works collaboratively with the engineering manager and team lead to set design and implementation standards
  • Regularly leads meetings
  • Has experience in providing technical leadership, mentorship, and guidance to junior team members
  • Develops and delivers strategic presentations and reports to senior stakeholders
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...
Location
Location
United Kingdom , Cambridge
Salary
Salary:
136000.00 - 261050.00 GBP / Year
altoslabs.com Logo
Altos Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
  • 6+ years of relevant post-PhD work experience in either an academic or industry setting
  • Proven experience developing and applying complex machine learning models
  • A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
  • Excellent scientific communication skills
  • Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
  • Proven experience applying sophisticated ML techniques to molecular and cell biological data sets
Job Responsibility
Job Responsibility
  • Pioneer novel machine learning methodologies and statistical frameworks
  • Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
  • Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
  • Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
  • Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
  • Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
  • Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
  • Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
  • Act as a key technical mentor to Machine Learning Scientists and Engineers
  • Fulltime
Read More
Arrow Right

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...
Location
Location
United States , Redwood City; San Diego
Salary
Salary:
260950.00 - 509450.00 USD / Year
altoslabs.com Logo
Altos Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
  • 6+ years of relevant post-PhD work experience in either an academic or industry setting
  • Proven experience developing and applying complex machine learning models
  • A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
  • Excellent scientific communication skills
  • Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
  • Proven experience applying sophisticated ML techniques to molecular and cell biological data sets
Job Responsibility
Job Responsibility
  • Pioneer novel machine learning methodologies and statistical frameworks
  • Contribute to setting the long-term technical vision and research strategy for a core domain
  • Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
  • Design, implement, and optimize large-scale machine learning systems
  • Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
  • Develop robust approaches for multi-modal data integration and cross-domain mapping
  • Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
  • Lead the full ML development lifecycle
  • Act as a key technical mentor to Machine Learning Scientists and Engineers
Read More
Arrow Right

Senior Machine Learning Engineer

As Babylist’s Senior Machine Learning Engineer, you’ll be the founding expert dr...
Location
Location
United States; Canada
Salary
Salary:
189900.00 - 237400.00 USD / Year
babylist.com Logo
Babylist
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience delivering end to end solutions that drive business growth
  • Deep expertise in the Python ML ecosystem (pandas, sklearn, xgboost, PyTorch)
  • Strong expertise creating custom embeddings from raw data sources
  • Experience going beyond off-the-shelf image/text embeddings to develop domain-specific representations for ML models
  • Proven track record building and delivering production-grade ML solutions, especially recommender systems or personalization features
  • Experience with the entire ML lifecycle, including workflow orchestration (Airflow) and model monitoring
  • Strong communication skills with technical and non-technical stakeholders
  • Background in consumer-facing products preferred
  • Expertise with e-commerce, dating apps, or complex user journey platforms is highly relevant
  • Demonstrate autonomy: able to define problem space, architect solutions from scratch (zero to one), and operate with ownership
Job Responsibility
Job Responsibility
  • Pioneer ML at Babylist: shape the roadmap, practices, and culture for machine learning and personalization at scale
  • Own high-impact work end-to-end: build and launch high-leverage personalization features from the ground up
  • Lead both technically and strategically: be the technical pioneer and strategic leader for ML at Babylist
  • Collaborate across a strong data organization: partner with data scientists, data engineers, and analytics engineers
What we offer
What we offer
  • Competitive salary with equity and bonus opportunities
  • Company-paid medical, dental, and vision insurance
  • Retirement savings plan with company matching and flexible spending accounts
  • Generous paid parental leave and PTO
  • Remote work stipend to set up your office
  • Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

At Cresta, we are dedicated to building state-of-the-art Machine Learning system...
Location
Location
United States; Canada
Salary
Salary:
Not provided
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field
  • 5+ years of hands-on experience building and deploying ML models in production
  • Strong knowledge of ML frameworks and NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK)
  • Solid experience with modern ML techniques including transformer architectures, embeddings, retrieval systems, and large-scale model training
  • Experience designing and deploying Retrieval-Augmented Generation pipelines for enterprise use cases
  • Familiarity with evaluation and benchmarking frameworks for ML/LLM models
  • Strong passion for AI-driven innovation, with a proven ability to deliver impactful, production-grade solutions
Job Responsibility
Job Responsibility
  • Build and optimize agentic AI workflows that enable users to dynamically interact with and refine outputs from ML systems
  • Research and implement advanced ML and NLP techniques, including transformer-based models, embeddings, and retrieval-augmented generation
  • Develop evaluation frameworks to assess accuracy, robustness, and usability of ML/LLM models in production environments
  • Design, train, and deploy machine learning models for tasks such as classification, entity identification, information extraction, retrieval, topic discovery, and structured insight generation
  • Architect and optimize RAG pipelines for grounding LLMs with enterprise data to ensure accuracy and reliability
  • Collaborate with engineers, UX designers, and product managers to integrate AI-driven capabilities into Cresta’s platform
  • Optimize ML pipelines and data processing systems to operate efficiently at scale
What we offer
What we offer
  • We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
  • Paid parental leave to support you and your family
  • Monthly Health & Wellness allowance
  • Work from home office stipend to help you succeed in a remote environment
  • Lunch reimbursement for in-office employees
  • PTO: 3 weeks in Canada
  • Compensation for this position includes a base salary, equity, and a variety of benefits
  • Fulltime
Read More
Arrow Right

Senior Staff Machine Learning Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...
Location
Location
United States; Canada
Salary
Salary:
Not provided
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in Computer Science, Mathematics, or a related field
  • Master’s or Ph.D. preferred, or equivalent professional experience
  • 7+ years of hands-on industry experience with AI and machine learning
  • 3+ years of experience working with LLMs in large-scale production environments
  • Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs
  • Proven leadership in designing and deploying AI solutions at scale
  • Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy)
  • Experience with distributed systems and cloud-based AI infrastructure
  • Strong problem-solving and strategic thinking abilities
  • Proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production
Job Responsibility
Job Responsibility
  • Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models
  • Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios
  • Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions
  • Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
  • Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents
  • Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems
What we offer
What we offer
  • Variety of medical, dental, and vision plans
  • Paid parental leave
  • Monthly Health & Wellness allowance
  • Work from home office stipend
  • Lunch reimbursement for in-office employees
  • PTO: 3 weeks in Canada
  • Base salary, equity, and a variety of benefits
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

Providing the right track at the right moment for our users, notify to them the ...
Location
Location
France , Paris
Salary
Salary:
Not provided
deezer.com Logo
Deezer
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 5 years of work experience in machine learning and models deployed in production
  • Fluent in at least one language in Python, Scala or Java
  • Already worked on a recommendation engine
  • Ability to take initiative, strong business sense and and innovative mindset
  • Fluent in English or French.
Job Responsibility
Job Responsibility
  • Look into the data, propose some Machine learning models and experiment to provide a technical solution to the product manager requirements
  • Code, deploy and monitor Machine learning models in production
  • Iterate on existing models to improve KPIs
  • Explore scientific literature, implement papers, design POC to explore innovative solutions to our users problems
  • Collaborate with our Research team on research project to build the future of the recommendation engine
What we offer
What we offer
  • A Deezer premium family account for free
  • Access to gym classes
  • Deezer parties several times a year and drinks every thursday
  • Mental health and well-being support from Moka.Care
  • Allowance for sports, travelling and culture
  • Meal vouchers
  • Great offices always located in dynamic and attractive districts
  • Hybrid remote work policy
  • Fulltime
Read More
Arrow Right

Senior Applied Machine Learning Engineer

Machine learning is integral to every financial service we provide. As we embark...
Location
Location
United States , Mountain View
Salary
Salary:
232200.00 - 283800.00 USD / Year
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s/Master’s in Computer Science, Engineering, or equivalent industry experience
  • 4+ years of machine learning experience with strong software engineering skills
  • Proficiency in ML techniques (LLMs, deep learning, sequence, and tree-based models)
  • Advanced Python programming, SQL, and data manipulation skills
  • Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS Sagemaker, Databricks, GCP Vertex AI)
  • Excellent communication and collaboration abilities
  • A passion for continuous learning and personal growth in a dynamic work environment
Job Responsibility
Job Responsibility
  • Design, develop, A/B test, and deploy models while collaborating with data scientists to drive data-driven decisions
  • Enhance models by incorporating innovative features every quarter and leveraging the latest industry research
  • Monitor feature and model health, and communicate changes in model decisions
  • Explore and integrate advanced technologies, including deep learning and LLMs, in the risk domain
  • Lead by example to foster operational excellence and transformative change
  • Expand responsibilities as new products emerge
What we offer
What we offer
  • equity and benefits
  • Fulltime
Read More
Arrow Right