Staff Machine Learning Engineer Job at Life Science Talent (København)

Staff Machine Learning Scientist

Intercom’s Machine Learning team is responsible for defining new ML features, re...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

5-8 years applied ML experience
Previous background in a senior/staff role (data science, software development or academic)
Significant, demonstrated impact that your work has had on the product and/or the teams
Strong programming skills
Experience as the primary technical leader for a team
Strong communication skills, both within engineering teams and across disciplines
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g. MSc)
Scientific thinking skills

Job Responsibility

Play an active role in hiring, mentoring and career development of other engineers
Raise the bar for technical standards, performance, reliability, and operational excellence
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research - Deeply understand the problem area
Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of team, and others, to build excellent ML products

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done
Relocation support for those moving to our offices

Fulltime

Staff Machine Learning Scientist

Intercom’s Machine Learning team is responsible for defining new ML features, re...

Location

United Kingdom , London

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

5-8 years applied ML experience
Previous background in a senior/staff role (data science, software development or academic)
Significant, demonstrated impact that your work has had on the product and/or the teams
Strong programming skills
Experience as the primary technical leader for a team
Strong communication skills, both within engineering teams and across disciplines
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g. MSc)
Scientific thinking skills

Job Responsibility

Play an active role in hiring, mentoring and career development of other engineers
Raise the bar for technical standards, performance, reliability, and operational excellence
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research - Deeply understand the problem area
Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of team, and others, to build excellent ML products

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

Fulltime

LLM - Senior Staff Engineer - Python + Machine Learning

AquSag is seeking a hands-on Machine Learning Senior Staff Engineer to lead cros...

Location

Salary:

40.00 - 60.00 USD / Hour

AquSag Technologies

Expiration Date

Until further notice

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

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

Staff Machine Learning Engineer

As a Staff Machine Learning Engineer at Aignostics, you will play a crucial role...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Advanced degree in a relevant field or extensive work experience
8+ years of industry experience, with at least 2 years as Staff Engineer or an equivalent role
Proven track record of driving technical excellence and innovation
Solid background in data-intensive systems and software architecture, design patterns and clean coding
Expert Python programming and fluency in C/C++ or other low-level language(s)
Experience with designing and implementing large-scale, distributed ML systems and platforms
Proven track record of deploying ML models into production environments
Strong knowledge of machine learning fundamentals
Experience with deep learning frameworks (e.g. Pytorch and Tensorflow) and state-of-the-art techniques (e.g. generative models)
Deep understanding of cloud technologies (e.g. GCP, AWS), containerization and orchestration (Kubernetes)

Job Responsibility

Define and drive the technical architecture and system design principles for our AI platform and infrastructure
Work in close collaboration with engineering leads to build flexible frameworks and systems for model training, evaluation and inference across different pathology applications
Guide the CTO office, product management and fellow engineering leads through complex decisions by providing expert consultation on feasibility, architecture, trade-offs and risk mitigation strategies, while ensuring alignment with our technical vision
Foster technical alignment across teams by establishing shared architectural principles and best practices, facilitating cross-team design reviews to enable consistent decision-making across domains
Champion technical excellence by leading strategic initiatives that modernize our architecture and reduce technical debt while measuring and improving our technical health metrics
Elevate the technical capabilities of our engineering staff through structured mentoring, workshops and establishing comprehensive technical guidelines that enable teams to make better design decisions
Drive innovation by evaluating emerging technologies, leading proof-of-concept initiatives and building support for strategic technical investments that advance our engineering capabilities while ensuring measurable business value

What we offer

Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
Work with a welcoming, diverse and highly international team of colleagues
Opportunity to take responsibility and grow your role within the startup
Expand your skills by benefitting from our Learning & Development yearly budget of 1,000 € (plus 2 L&D days), language classes and internal development programs
Mentoring program, you’ll learn from great experts
Flexible working hours and teleworking policy
30 paid vacations days per year
We are family & pet friendly and support flexible parental leave options
Pick a subsidized membership of your choice among public transport, sports and well-being
Enjoy our social gatherings, lunches and off-site events for a fun and inclusive work environment

Senior Staff Machine Learning Engineer

Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pi...

Location

United States

Salary:

232000.00 - 310000.00 USD / Year

Affirm

Expiration Date

Until further notice

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

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

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

Senior Staff Machine Learning Engineer

Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pi...

Location

Canada

Salary:

206000.00 - 256000.00 CAD / Year

Affirm

Expiration Date

Until further notice

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

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

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

Staff Machine Learning Engineer

We are seeking a Staff Machine Learning Engineer to join our Foundation AI team....

Location

United States , Boston

Salary:

170000.00 - 230000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience
7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems
Expertise in modern deep learning (e.g., transformers, state space models) and multimodal model training
Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience building and scaling large datasets and training large models in distributed compute environments
Strong applied experience with representation learning, self-supervised methods, and fine-tuning for downstream applications
Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute
Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams
Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology

Job Responsibility

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data
Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities
Develop scalable, distributed training pipelines for large models on high-performance compute environments
Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability
Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value
Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP
Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration
Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI

What we offer

competitive base salaries
meaningful equity
benefits
generous equity package

Fulltime

Staff Machine Learning Engineer

Machine Learning Engineers at Rocket Money further our mission by building produ...

Location

United States , San Francisco; Washington, D.C.; New York City; Silver Spring; Miami; Denver

Salary:

210000.00 - 260000.00 USD / Year

Truebill

Expiration Date

Until further notice

Requirements

8+ years of professional experience in machine learning engineering or data science roles
Proven track record of designing and implementing ML systems at consumer tech scale and speed
Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms
Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications
Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks
Understanding of ML methods at a fundamental level
Master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation
Owned the development, launch, and maintenance for several scaled ML/AI powered product experiences
Understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments
Technical leader who can identify both emergent technical opportunities and gaps relative to best practice

Job Responsibility

Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite
Design, implement, and maintain robust evaluation frameworks
Develop novel new product experiences
Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams
Provide technical mentorship

What we offer

Health, Dental & Vision Plans
Competitive Pay
401k Matching
Unlimited PTO
Lunch daily (in-office only)
Snacks & Coffee (in-office only)
Commuter benefits (in-office only)
Bonus

Fulltime

Staff Machine Learning Engineer

Life Science Talent

Location:
Denmark , København

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 05, 2026

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