Machine Learning Scientist Job at Suno (Boston)

Senior Data Scientist - Machine Learning

We are looking for a Machine Learning Data Scientist to develop and implement ou...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Science or related fields
Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems using large amounts of data
Proven track record of delivering ML projects end-to-end, including designing, development, deployment and monitoring
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Expertise in programming languages such as Python or Java with and the ability to write performant code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Develop and implement our machine learning algorithms
Train sophisticated models
Collaborate with our technical and non-technical partner teams
Expand our AI/ML functionality in partnership with our CSS and/or Sales organization

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Principal Data Scientist - Machine Learning Engineering

We are looking for a Principal Machine Learning Data Scientist to develop and im...

Location

United States , Remote

Salary:

145300.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years of experience in Data Science or related fields
Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems using large amounts of data
Proven track record of delivering ML projects end-to-end, including designing, development, deployment and monitoring
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Expertise in programming languages such as Python or Java with and the ability to write performant code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Develop and implement our machine learning algorithms
Train sophisticated models
Collaborate with our technical and non-technical partner teams
Expand our AI/ML functionality in partnership with our CSS and/or Sales organization

What we offer

health coverage
paid volunteer days
wellness resources
bonuses
commissions
equity

Fulltime

Principal Data Scientist - Machine Learning Engineering

Atlassian is looking for a Principal Data Scientist to uncover valuable insights...

Location

United States , San Francisco

Salary:

175100.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance
8+ years of experience in Data Science or related fields. (Preferred - 10+ years experience with a post-graduate degree in a quantitative discipline like Statistics, Mathematics, Econometrics, Computer science)
Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems and a strong sense of when to apply them to the problem at hand
Experience in managing ML projects end-to-end including deployment and monitoring
Expertise in SQL and a high level of proficiency in another data science programming language (e.g Python, R) with expertise in libraries like Pandas, Numpy, Scikit-learn etc.
A very high bar for output quality, while balancing 'having something now' vs. 'perfection in the future'
Comfort explaining complex concepts to diverse audiences and creating compelling stories for non-data experts
Proficiency in visualization tools (e.g. Streamlit, Tableau)

Job Responsibility

Influence strategy & important decisions around customer friction by surfacing data driven insights
Define, set and report on department level metrics or KRs to the CSS Executive team
Build and implement measurement frameworks, machine learning models and NLP/LLM tooling to accelerate Atlassian’s growth and improve product quality
Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Machine Learning Research Scientist

This role focuses on cutting-edge research and development in Artificial Intelli...

Location

United States , Milpitas

Salary:

117500.00 - 270000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning for the dissertation
extensive experience in deep learning research, preferably in Large Language Models or Reinforcement Learning
experience developing applications with deep learning frameworks like PyTorch with a high software proficiency
strong programming skills in Python, data structures, and algorithms are required
experience with ML model optimization, GPU acceleration, heterogeneous computation, system software, and performance optimization desired
experience in Python Web Frameworks – Django, Flask - a plus but not required.

Job Responsibility

conducting research, developing solutions, and creating intellectual property in emerging fields like reinforcement learning, LLMs, digital twins, clean energy, data center optimization, and sustainability
developing advanced technologies for analysis, optimization, time series forecasting, uncertainty quantification, and control
providing thought leadership, collaborating internally and externally, and contributing to HPE’s strategy by identifying emerging technologies
publishing in top conferences like NeurIPS, AAAI, and ACL
developing patent applications
software development, GPU acceleration, model optimization, and real-time data streaming to create robust AI solutions for real-world use cases.

What we offer

a competitive salary and extensive social benefits
diverse and dynamic work environment
work-life balance and support for career development
health and wellbeing programs
personal and professional development programs
diversity, inclusion, and belonging initiatives.

Fulltime

Post Doctoral Machine Learning Research Scientist

The Core Machine Learning Research team within the Artificial Intelligence Resea...

Location

United States , Milpitas

Salary:

47.75 - 72.00 USD / Hour

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning
Extensive experience in deep learning research is required, preferably with Reinforcement Learning and Large Language Models
Experience in developing applications with deep learning frameworks like PyTorch with a high software proficiency

Job Responsibility

LLM and agentic architectures with refinements to enhance trust for complex applications and workflows
Multi-agent and multi-objective reinforcement learning for complex physical systems
Generative models and Optimization for scientific domains such as inertial confinement fusion
Scalable, safe AI systems that push the boundary of what’s possible in applied ML

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Specific programs catered to helping you achieve career goals
Inclusive working environment
Collaborations with top-tier research institutions, national labs, and global AI initiatives

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United Kingdom , Cambridge

Salary:

136000.00 - 261050.00 GBP / Year

Altos Labs

Expiration Date

Until further notice

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

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

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United States , Redwood City; San Diego

Salary:

260950.00 - 509450.00 USD / Year

Altos Labs

Expiration Date

Until further notice

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

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

Data Scientist - Machine Learning

As a Machine Learning Data Scientist in the Data Team at Catawiki you will focus...

Location

Netherlands , Amsterdam

Salary:

Not provided

Catawiki

Expiration Date

Until further notice

Requirements

3+ years of experience as an all-around data scientist
Comfortable diving into the internals of a model implementation and discussing new opportunities for ML with product stakeholders
Understand and apply standard and widespread ML techniques in your area with little support
Strong quantitative background (statistics, ML, sciences, etc.)
Fluent in Python and capable with SQL
Have deployed ML models in production serving real time responses on a large scale
Able to effectively communicate about your models to a non tech-savvy audience
Demonstrable experience in building robust data products that created value for the company you worked for

Job Responsibility

Building production-ready models that apply machine learning and advanced data science techniques within our product offering by writing robust and scalable code
Finding data science opportunities by exploring our extensive mobile and web data, and applying machine learning and advanced statistics to tackle these real-world business problems
Being pragmatic when needed but also able to go deep into a problem, applying your expert knowledge of machine learning techniques
Working with cross-disciplinary teams involving product owners, developers, UX designers, and business analysts in identifying improvements and new use cases for ML
Deploy scalable models using Kubernetes on cloud infrastructure, producing real-time, asynchronous, and batch predictions

What we offer

Excellent relocation package for people living outside of the Netherlands
Create a Visible Impact by working at scale in a global organisation
Learn and Grow with Us through our Learning & Development initiatives, which include clear development plans and mentorship programmes
A Culture of Connection defines us
Celebrate Life’s Moments with us at Catawiki
Receive a €100 Catavoucher when you join
On each birthday, you'll get a €50 Catavoucher
Enjoy an extra day off each year to "Pursue Your Passion"
Recognise significant work anniversaries (3, 5, 8, 10 years) with additional time off
Extra leave for life’s big moments like marriage, engagements, or moving house

Machine Learning Scientist

Suno

Location:
United States , Boston ▼
NYC

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 13, 2026

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