CrawlJobs Logo

Senior Staff Machine Learning Engineer

life-science-talent-solutions.dk Logo

Life Science Talent

Location Icon

Location:
Denmark , København

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

We are on a mission to ensure everyone has access to medical expertise, no matter where they are. Half the world still lacks access to quality healthcare. Even in advanced systems, outcomes are uneven, and clinicians are overwhelmed. Medical knowledge grows faster than human capacity can keep up. Corti is building the infrastructure to close that gap. Our AI platform expands access to medical expertise, reducing errors, restoring time to clinicians, and making care more affordable, accessible, and human again. There is no quality healthcare without a quality dialogue, and no reliable AI without a strong foundation. Help us build both.

Job Responsibility:

  • Contribute to building and improving machine learning models for audio, text, and structured data
  • Translate research outcomes into prototypes that can inform new product features
  • Help design and implement APIs and pipelines that make ML models accessible across the organization
  • Collaborate with researchers, engineers, and product teams to move ML ideas into production
  • Improve healthcare globally as part of your daily work

Requirements:

  • A Master’s degree in computer science, engineering, mathematics, statistics, physics, or a related field (or equivalent experience)
  • Mastery in Python, data structures, and algorithms, with the ability to contribute to production-level code
  • Experience with at least one major ML framework (PyTorch or TensorFlow)
  • Practical experience working on applied machine learning projects (academic or industry)
  • Strong communication skills—you can explain technical concepts to both technical and non-technical colleagues
  • Experience with natural language processing, speech recognition, or generative AI
  • Familiarity with designing ML pipelines for real-world applications
  • Contributions to research projects, publications, or open-source work
What we offer:
  • Hybrid working environment in our Copenhagen Office
  • Equipment provided by Corti

Additional Information:

Job Posted:
January 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Icon
Life Science Talent - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

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

Briefcase Icon

Similar Jobs for Senior Staff Machine Learning Engineer

LLM - Senior Staff Engineer - Python + Machine Learning

AquSag is seeking a hands-on Machine Learning Senior Staff Engineer to lead cros...
Location
Location
Salary
Salary:
40.00 - 60.00 USD / Hour
aqusag.com Logo
AquSag Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)
  • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed
  • Hands-on experience in Docker for Production deployment
  • Proven experience managing teams delivering ML/LLM models in production environments
  • Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)
  • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines
  • Excellent leadership, communication, and cross-functional collaboration skills
  • Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred)
  • Overlap of 6 hours with PST time zone is mandatory
  • Commitments Required: 8 hours per day with overlap of 6 hours with PST
Job Responsibility
Job Responsibility
  • Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals
  • Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment
  • Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics
  • Provide technical direction on large-scale model training, fine-tuning, and distributed systems design
  • Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML
  • Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards
  • Communicate progress, risks, and results to stakeholders and executives effectively
  • Fulltime
Read More
Arrow Right

Senior Staff Machine Learning Engineer

Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pi...
Location
Location
United States
Salary
Salary:
232000.00 - 310000.00 USD / Year
affirm.com Logo
Affirm
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems
  • Experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment
  • Proficient in Python and ML frameworks, including PyTorch and XGBoost
  • Strong understanding of representation learning and embedding-based modeling
  • Deep expertise in neural network-based sequence modeling, including architectures such as Transformers, recurrent, or attention-based models, and multi-task learning systems
  • Deep hands-on experience with large-scale distributed ML infrastructure, including streaming or batch data ingestion, feature stores, feature engineering, training pipelines, model serving and inference infrastructure, monitoring, and automated retraining
  • Strong technical leadership: defining long-term strategy, guiding research direction, and aligning work across teams
  • Exceptional judgment, collaboration, and communication skills
  • Strong verbal and written communication skills that support effective collaboration across our global engineering organization
  • Equivalent practical experience or a Bachelor’s degree in a related field
Job Responsibility
Job Responsibility
  • Define and drive multi-year, multi-team technical strategy for machine learning across Affirm
  • Lead the design, implementation, and scaling of advanced ML systems
  • Partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities
  • Provide broad technical leadership across the ML organization, mentoring senior engineers
  • Drive clarity and alignment on ambiguous, high-stakes technical decisions
  • Champion operational and system excellence at the area level
What we offer
What we offer
  • Equity rewards
  • Monthly stipends for health, wellness and tech spending
  • 100% subsidized medical coverage, dental and vision for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Competitive vacation and holiday schedules
  • Employee stock purchase plan enabling you to buy shares of Affirm at a discount
  • Fulltime
Read More
Arrow Right

Senior Staff Machine Learning Engineer

Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pi...
Location
Location
Canada
Salary
Salary:
206000.00 - 256000.00 CAD / Year
affirm.com Logo
Affirm
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems
  • Experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment
  • Proficiency in Python and ML frameworks, including PyTorch and XGBoost
  • Experience with ML tooling for training orchestration, experimentation, and model monitoring, such as Kubeflow, MLflow, or equivalent
  • Strong understanding of representation learning and embedding-based modeling
  • Deep expertise in neural network-based sequence modeling, including architectures such as Transformers, recurrent, or attention-based models, and multi-task learning systems
  • Deep hands-on experience with large-scale distributed ML infrastructure, including streaming or batch data ingestion, feature stores, feature engineering, training pipelines, model serving and inference infrastructure, monitoring, and automated retraining
  • Strong technical leadership: defining long-term strategy, guiding research direction, and aligning work across teams
  • Exceptional judgment, collaboration, and communication skills
  • Strong verbal and written communication skills
Job Responsibility
Job Responsibility
  • Define and drive multi-year, multi-team technical strategy for machine learning across Affirm
  • Lead the design, implementation, and scaling of advanced ML systems
  • Partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities
  • Provide broad technical leadership across the ML organization
  • Drive clarity and alignment on ambiguous, high-stakes technical decisions
  • Champion operational and system excellence at the area level
What we offer
What we offer
  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules
  • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
  • Fulltime
Read More
Arrow Right

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...
Location
Location
United States , San Francisco
Salary
Salary:
216500.00 - 324500.00 USD / Year
gofundme.com Logo
GoFundMe
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
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 Engineering Manager, Computer Vision

Hover helps people design, improve, and protect the properties they love. With p...
Location
Location
United States , San Francisco/New York
Salary
Salary:
247000.00 - 305000.00 USD / Year
hover.to Logo
HOVER
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of managing high impact CV/ML teams (or tech lead / staff+ leadership) with a track record of building high-performing teams
  • 5+ years of hands-on experience in computer vision or ML (ideally 3D reconstruction, multi-view geometry, or ML-based reconstruction)
  • Proven track record partnering with product teams to scope features, run experiments, and iterate based on customer feedback and data
  • Familiarity with modern MLOps stacks (cloud GPUs, CI/CD, monitoring) and a passion for measurable reliability and cost control
  • Ability to articulate complex trade-offs to executives, engineers, and customers alike
  • Bachelor’s, Master’s, or PhD in CS, ML, or related field
Job Responsibility
Job Responsibility
  • Leading the Team: Build and nurture a high-performing, diverse team of senior ICs and emerging leaders. From hiring and onboarding to coaching and career-pathing, you’ll make talent development your first priority
  • Owning a Scaling Product Line: Take end-to-end ownership of a critical computer vision product area, ensuring our research breakthroughs translate into production systems that delight customers at scale
  • Shaping the Roadmap: Partner with Product and Design to translate market opportunities and research advances into a sequenced plan. You’ll balance innovation with operational excellence, driving projects from data strategy and experimentation through to reliable production deployment
  • Driving Technical Excellence: Set engineering standards for accuracy, latency, cost control, and reliability. Model strong cross-functional collaboration and ensure your team’s work integrates smoothly into Hover’s larger platform
  • Communicating Impact: Clearly articulate progress, trade-offs, and technical choices to executives, stakeholders, and the broader team
  • earning trust at every level
What we offer
What we offer
  • Compensation - Competitive salary and meaningful equity in a fast-growing company
  • Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
  • Paid Time Off - Unlimited and flexible vacation policy
  • Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave
  • Mandatory Self-Care Days - A day set aside each month to allow employees to recharge
  • Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance
  • Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications
  • Fulltime
Read More
Arrow Right

Senior Staff Product Manager, Drone Hardware Platforms & Sensors

As a Senior Staff Product Manager for Drone Hardware Platforms & Sensors, you wi...
Location
Location
United States , San Mateo
Salary
Salary:
196000.00 - 260000.00 USD / Year
skydio.com Logo
Skydio
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of proven success in defining and delivering complex hardware products with integrated software
  • Deep technical understanding of IoT or camera/sensors product technologies
  • Experience launching robust hardware products for Enterprise, Public Safety or Defense Customers
  • Detail-oriented with exceptional written and oral communication skills
  • Direct or indirect experience with engineering that allows you to actively participate in deep discussions with engineers on complex technical architecture challenges and tradeoffs
  • Highly facilitative team player who strives to enable others to do their best work
  • A passion for speaking with -- and learning from -- customers
  • A background in electrical engineering, mechanical engineering, or computer science
Job Responsibility
Job Responsibility
  • Help shape our overall vehicle and hardware strategy in collaboration with our CEO and engineering executives, including the development of new hardware products, including new vehicle form factors
  • Engage with customers, prospects, and internal stakeholders to understand core business problems and develop visions and strategies to solve them
  • Draw upon direct customer experiences and ride-alongs as well as usage analytics to solve the most important and impactful problems for our customers
  • Continually develop, own, and publish product requirement documents and roadmaps for Skydio’s vehicle hardware, controllers, cameras/sensors and embedded software
  • Partner with designers and engineering leaders spanning hardware, firmware, computer vision, AI, and machine learning to execute your product vision and requirements
  • Capture, document, and distill feedback from customers and prospects to steer product development
  • Collaborate closely with sales and customer success to build and maintain close customer relationships and ensure success
  • Partner with product marketing to develop launch plans, product positioning and messaging to bring your products to market
What we offer
What we offer
  • Equity in the form of stock options
  • Comprehensive benefits packages
  • Relocation assistance
  • Paid vacation time
  • Sick leave
  • Holiday pay
  • 401K savings plan
  • Fulltime
Read More
Arrow Right

Staff Software Engineer

As a Staff Software Engineer, you will play a key role in designing, developing,...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://6sense.com Logo
6sense
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 7+ years of professional experience in software engineering, with at least 2 years in a senior or staff-level role
  • Proficiency in Python and have good command on Django, FastApi
  • Expertise in designing distributed systems
  • Strong knowledge of databases (SQL and NoSQL) and caching systems
  • Exceptional problem-solving and analytical abilities
  • Strong communication skills with the ability to explain complex concepts to non-technical stakeholders
  • Leadership experience, including mentoring engineers and leading technical projects
  • Experience with containerization (e.g., Docker, Kubernetes)
  • Knowledge of CI/CD pipelines and DevOps practices
Job Responsibility
Job Responsibility
  • Lead the design and development of complex software systems
  • Drive technical innovation and best practices across teams
  • Ensure code quality through reviews, automation, and adherence to coding standards
  • Architect scalable, reliable, and secure systems for business-critical applications
  • Collaborate with stakeholders to understand requirements and translate them into technical solutions
  • Align engineering efforts with business objectives to achieve company goals
  • Identify, analyze, and resolve complex technical issues
  • Develop strategies to enhance system reliability and reduce technical debt
What we offer
What we offer
  • health coverage
  • paid parental leave
  • generous paid time-off and holidays
  • quarterly self-care days off
  • stock options
  • equipment and support
  • wellness education sessions
  • wellness days
  • ERG-hosted events
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Poland Jobs Ireland Jobs Germany Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy