Senior AI/ML Scientist Job at General Motors (Austin)

Senior Data Scientist AI/ML

Data sits at the heart of the company. This role ensures that Awin can fully lev...

Location

Germany; Romania; United Kingdom; Spain; Italy; Germany; France; Poland , Berlin; Iași; London; Madrid; Milano; München; Paris; Warsaw

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Bachelor's degree or higher in Statistics, Mathematics, Data Science, AI/ML, or related field
6+ years of experience in Data Science or AI, with strong exposure to platform-level enablement or ML Ops-aligned environments
Demonstrated expertise in generative AI models and tooling (e.g. standardized evaluation, AI-specific observability, safe rollback mechanisms, retrieval-quality assessment etc)
Experience designing scalable AI architecture components, model pipelines, inference patterns, vector search, feature engineering standards, and monitoring frameworks
Proven experience of creating and maintaining end to end AI tools
Proven ability to mentor teams on AI methodologies, experimentation, and adoption of platform tooling
Collaborative, proactive, and customer-focused approach to enabling product and engineering teams

Job Responsibility

Define, maintain and drive adoption of AI/ML standards, patterns, and reusable components to enable efficient model development across teams
Partner with Data Engineering and Platform Engineering to evolve core AI platform capabilities, ensuring scalability, governance, and robustness
Advise product teams on model design choices, data readiness, evaluation strategies, and responsible AI practices
Develop and implement frameworks, guidelines, and reference architectures to support enterprise-wide adoption of AI and generative AI
Evaluate new AI technologies, tools, and workflows, driving continuous improvement of the platform
Develop and maintain an AI experimentation sandbox that enables teams to prototype and test new models and tooling efficiently
Ensure data quality, feature standardization, and reproducibility across the AI lifecycle
Mentor and coach teams on AI methods, experimentation, and best-practice platform usage
Communicate complex concepts clearly to stakeholders, enabling strategic decision-making and alignment

What we offer

Flexi-Week and Work-Life Balance
Remote Working Allowance
Flexi-Office
Meal Vouchers
Health & Wellbeing (insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member)
Remote Working Furniture Package (after 3 months of employment)
Appreciation (peer-to-peer voucher program)

Fulltime

Senior Data Scientist (AI/ML)

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

9+ years of experience in a Data science role
Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
5+ years experience building data pipelines for data science-driven solutions and deployed in Production environment
Experience working in technical support environment, working with dataset from CRM, H/W and S/W bugs data, machine logs
Experience supporting and working with multi-functional teams in a multidimensional fast paced environment
Good team worker with excellent interpersonal, written, verbal and presentation skills
Experience building and optimizing data pipelines, architectures and data sets
Experience performing root cause analysis on internal and external data and processes
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management

Job Responsibility

Leads as well as develops scalable AI solutions using relevant AI (ML/DL/Gen AI) techniques
Architects large scale AI solutions that seamlessly merge AI model and techniques in SDLC
Organizes and leads comprehensive code and design review sessions, driving discussions to align with project requirements and best practices. Mentor and provide feedback to junior and mid-level team members
Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms. Explore and experiment with cutting-edge techniques to solve complex problems and improve existing models
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions. Determine the appropriate algorithms, models, and frameworks to use and architect the overall system to ensure scalability, efficiency, and robustness
Develops, implements, and optimizes machine learning models and algorithms. This includes data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets. Continuously monitor and improve model performance and accuracy
Leverage or build analytics tools that utilize the data pipeline to provide significant insights into customer case data, bug data, operational and other key business performance metrics
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Work with data and analytics specialists to strive for greater functionality in our data systems
Identify trends, patterns from dataset to scope opportunities for automation

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Scientist / Senior Scientist, Multimodal AI

Altos Labs is building a world-class AI ecosystem to solve the most complex prob...

Location

United States , San Francisco Bay Area, CA; San Diego, CA

Salary:

188600.00 - 330000.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

PhD in Computer Science, AI/ML, Biomedical Engineering, or a related quantitative field
Deep experience building and deploying modern Computer Vision architectures (Vision Transformers, U-Nets, Self-Supervised Learning)
Proven experience training and fine-tuning large models at scale using frameworks like PyTorch Distributed, DeepSpeed, or Jax
Expert-level Python skills, with a focus on building production-ready machine learning code and large-scale data management systems
A track record of technical contributions via high-impact publications (CVPR, ICCV, NeurIPS, etc.) or significant contributions to open-source ML frameworks

Job Responsibility

Model Development: Design, code, and train large-scale foundation models (e.g., Vision Transformers, Multimodal LLMs) that can embed spatial data and integrate multiple modalities
Hands-on Data Fusion: Implement innovative cross-domain mapping and fusion strategies to synchronize heterogeneous biological datasets
Scaling & Training: Build and manage high-performance ML pipelines capable of processing petabyte-scale image repositories and multi-omics streams in a cloud environment
Technical Collaboration: Work directly in the trenches with experimental scientists and software engineers to translate biological complexity into performant code and reliable distributed systems

Fulltime

Applied Scientist / Senior Applied Scientist

Do you want to help build innovative tools that empower AI Agents to achieve the...

Location

Ireland , Dublin

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND proven years of experience (e.g., statistics, predictive analytics, research)
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND years related experience (e.g., statistics, predictive analytics, research)
Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND demonstrated years of related experience (e.g., statistics, predictive analytics, research)
equivalent experience
Proven years of experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping
Proven years of experience with transformer-based models (e.g., GPT, Llama)
Coding and hands-on experience working with foundation models
Ability to apply research, preferring the large-scale application of new ideas over theory and prototypes
Demonstrated collaboration and communication skills, both within-team and cross-team, and experience working through problems in ambiguous environments adapting to new research challenges as technology develops
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role

Job Responsibility

Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders
Serving as a bridge between research and product
Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices
Many of the things you will try should lead to unexpected outcomes
You must be comfortable learning from experience, developing new hypotheses, and iterating
Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven
Effectively communicating with product leaders (and often MSR researchers) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts

Fulltime

Senior AI/ML Engineer

Location

United Kingdom , Chester

Salary:

80000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Strong experience designing, building and maintaining scalable data pipelines and architectures for AI/ML
Familiarity with Microsoft Fabric (Data Engineering, Data Science, Real-Time Analytics) and Azure ML, including MLflow
Proficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL
Skilled in developing, training and deploying machine learning models with frameworks like TensorFlow, PyTorch or Scikit-learn
Strong understanding of data modelling, data governance, security and responsible AI practices
Excellent problem-solving skills and the ability to explain technical concepts to varied audiences
Ability to manage priorities and deliver results in a fast-paced environment

Job Responsibility

Build and maintain end-to-end AI/ML pipelines in Microsoft Fabric
Design, train, deploy, and monitor machine learning and deep learning models
Implement MLOps best practices: versioned data & features, CI/CD pipelines, model promotion, and rollback
Collaborate with data scientists, analytics engineers, product managers, and developers to turn business problems into AI solutions
Uphold data quality, governance, security, and responsible AI practices
Evaluate and adopt new tools and technologies to enhance our AI/ML platform
Mentor junior colleagues and foster a culture of innovation and knowledge sharing

What we offer

Annual STIP Company-wide Bonus Scheme offering up to an additional 10% of your salary through our performance-based bonus program
33 days’ holiday (including bank holidays), plus up to 5 extra with long service
Option to purchase extra holiday days if you wish
A day off for your birthday
2 volunteering days per year
Enhanced parental leave (24 weeks maternity, 3 weeks paternity at full pay)
Pension scheme with employer contributions
Discounted and last-minute stays at Forest Holidays and Sykes Cottages for you, your friends & family
Special offers and discounts designed to enhance your overall wellbeing
Health cash plan & life assurance

Fulltime

Senior Scientist – Research Computational Biology (ARIA)

Join Amgen’s Mission of Serving Patients. The ARIA Computational Biology team is...

Location

United States , South San Francisco; Boston; Thousand Oaks

Salary:

146404.00 - 198076.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

PhD in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable]
Master’s degree in computational biology, bioinformatics, data science, or a related discipline and 3 years of relevant research experience
Bachelor’s degree in computational biology, bioinformatics, data science, or a related discipline and 5 years of relevant research experience
Strong background in cardiometabolic disease and/or immunology, including applications in the interpretation of single-cell data
Proficient in extracting actionable mechanistic insights from complex biological datasets through development and creative application of AI/ML-based analytical strategies
Strong programming skills (Python, R, Linux/Unix) and experience with cloud computing environments, HPC, and collaborative coding practices (e.g., Git)
Track record of designing and executing creative and holistic computational strategies to address challenging research questions
Proven expertise in the analysis and interpretation of single-cell omics data
Excellent communication and presentation skills, with the ability to convey complex concepts to diverse audiences
Self-motivated, collaborative, and committed to continuous learning and growth

Job Responsibility

Deriving biological insight from complex multi-modal omics and perturbation screening data to characterize disease endotypes and mechanisms, identify novel targets and biomarkers, and test therapeutic hypotheses
Conducting innovative, collaborative research in close partnership with Amgen therapeutic area scientists and our Discovery Sciences, Advanced Technologies, and AI (DATA) team, spanning discovery platforms, internal pipeline programs, and external partnerships

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Fulltime

Senior Scientist – Research Computational Biology Platforms

The ARIA Computational Biology team is seeking a talented and creative computati...

Location

United States , South San Francisco; Boston; Thousand Oaks

Salary:

146404.00 - 198076.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

PhD in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable]
Master’s degree in computational biology, bioinformatics, data science, or a related discipline and 3 years of relevant research experience
Bachelor’s degree in computational biology, bioinformatics, data science, or a related discipline and 5 years of relevant research experience
Strong programming expertise in Python and R, with proficiency in Linux/Unix environments, cloud computing, HPC, and collaborative development practices (e.g., Git)
Experience developing complex computational tools and visualizations that translate biological insights into actionable strategies
Experience developing and deploying computational tools and pipelines, including use of workflow management systems (e.g., Nextflow), CI/CD practices, and interactive visualization tools (e.g., Shiny/Streamlit)
Strong background in molecular and systems biology
Demonstrated expertise in the analysis and interpretation of single-cell omics data
Experience leveraging and fine-tuning transcriptional foundation models, large language models (LLMs), and biomedical knowledge graphs to advance research objectives
Familiarity with high-value public data resources (e.g., DepMap, Human Cell Atlas, TCGA, GTEx, and Tahoe-100M) used to complement and enhance analyses of internal datasets

Job Responsibility

Developing and applying methods and platforms to discover, prioritize, and validate targets across a broad range of diseases and therapeutic modalities
Designing and building a Precision Targeting Engine that integrates internal and high-value public data into an automated, scalable framework with custom expression analytics across diverse data types and disease areas
Contributing to the design and evolution of Amgen’s preclinical omics data ecosystem in partnership with the Research Informatics team
Evaluating and integrating emerging AI/ML technologies (e.g., biological foundation models), and developing custom research agents to accelerate early pipeline efforts
Partnering with data science and information systems teams to embed tools and analyses developed within ARIA Computational Biology into integrated R&D platforms
Training and mentoring other scientists in the use of advanced research tools and platforms

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Fulltime

Senior AI/ML Engineer

LogicMonitor® is the AI-first hybrid observability platform powering the next ge...

Location

India , Pune

Salary:

Not provided

LogicMonitor

Expiration Date

Until further notice

Requirements

4-5 years of experience in AI/ML engineering, with a focus on generative AI, and AI-driven automation and NLP
Strong proficiency in Python, Java, or similar languages for AI model development and deployment
Hands-on experience with LLMs, RAG (Retrieval-Augmented Generation), and prompt engineering
Expertise in embedding-based search, semantic retrieval, and transformer models (e.g., OpenAI, Hugging Face)
Experience with microservices, REST APIs, and cloud platforms (AWS, GCP, Kubernetes, Docker, etc.)
Strong understanding of search algorithms, ranking techniques, and text clustering methods
Strong problem-solving skills with the ability to drive innovation in AI-powered observability solutions
Excellent communication and collaboration skills, with experience working in cross-functional teams

Job Responsibility

Design, build, and deploy AI-powered solutions that enhance observability, automation, and insights across LogicMonitor’s platform
Develop some NLP models, generative AI solutions, and AI-driven analytics that drive automation and efficiency
Work closely with cross-functional teams, including product, engineering, and infrastructure teams, to integrate state-of-the-art AI models into LogicMonitor’s observability platform
Build and optimize large language model (LLM)-based solutions that generate human-readable incident reports, root cause explanations, and remediation suggestions
Leverage retrieval-augmented generation (RAG) to surface relevant documentation, logs, and knowledge base insights for IT teams
Develop semantic search and context-aware retrieval solutions to help IT teams quickly find relevant data, logs, and metrics
Optimize AI models for real-time performance in distributed, cloud-native environments (AWS, GCP, Kubernetes, etc.)
Work cross-functionally with platform engineers, product teams, and data scientists to align AI-driven features with customer needs
Stay ahead of AI/ML advancements

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Senior AI/ML Scientist

Job Description

Job Responsibility

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