Principal Applied Scientist, Computer Vision Job at Lime

Principal Data Scientist

T-Mobile’s Strategy and Corporate Development (S&CD) team is looking for a Princ...

Location

United States , Bellevue; Overland Park

Salary:

127400.00 - 229800.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
7-10 years of industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models
7-10 years of Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
7-10 years of Experience with data scripting languages (e.g., SQL, Python, R) and Extended experience working with relational database using SQL
4-7 years of Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
4-7 years of Experience with statistical methods and advanced modeling techniques. For example- SVM, Random Forest, graph models, Bayesian inference, NLP, Computer Vision, neural networks
4-7 years of Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc
4-7 years of Experience in data visualization
2-4 years Management consulting, investment banking, or corporate strategy

Job Responsibility

Extract, prepare, and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming
Identify critical and emerging technologies that will support and extend our consumer data, data integration, and quantitative analytic capabilities
Lead the implementation, assessment and standardization of advanced analytics and modeling toolkits for our data science team
Partner with data engineering teams to shape data management strategies, architecture, governance, pipelines, and infrastructure enabling effective modeling environments for data science teams
Provide senior level guidance to the data science and measurement science teams on approach and methodologies
Communicate important information and insights to business leaders using verbal, written, and data visualization skills

What we offer

competitive base salary and compensation package
annual stock grant
employee stock purchase plan
401(k)
access to free, year-round money coaches
medical, dental and vision insurance
flexible spending account
employee stock grants
paid time off
up to 12 paid holidays

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

New

Principal Applied Scientist, Computer Vision

We are looking for a Principal Applied Scientist to serve as the technical archi...

Location

Canada

Salary:

196000.00 - 270000.00 CAD / Year

Lime

Expiration Date

Until further notice

Requirements

8+ years of industry experience in Computer Vision and Machine Learning, with a strong track record of deploying production-grade systems in real-world environments
Edge AI Expertise: Extensive experience optimizing and deploying CV/ML models on embedded or edge hardware platforms where power, performance, and efficiency constraints are critical
Sensor Fusion Experience: Deep understanding of integrating with additional sensor modalities to solve complex perception or state-estimation problems
Strategic Technical Leadership: Demonstrated experience leading technical strategy and influencing architecture across teams
people management experience is a plus
Real-World Problem Solving: Proven ability to build robust systems that perform reliably under noisy, variable, and imperfect real-world conditions
Academic Foundation: Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on Computer Vision or Machine Learning

Job Responsibility

Technical Strategy & Roadmap: Define and execute the long-term technical vision for applied computer vision systems, identifying high-impact opportunities and guiding architectural decisions
Complex Problem Solving: Architect and own real-time perception and scene-understanding solutions designed to operate reliably in complex, real-world environments
Advanced Data Fusion: Lead efforts to combine computer vision with additional sensor inputs to improve robustness, accuracy, and contextual understanding
Hardware–Software Co-Design: Collaborate with hardware and firmware teams to optimize vision algorithms for deployment on resource-constrained edge devices, ensuring low latency and high reliability across diverse conditions
End-to-End Ownership: Oversee the full lifecycle of machine learning solutions—from data strategy and model development to deployment, monitoring and iterative improvement in production
Technical Leadership & Mentorship: Act as a senior technical authority for computer vision and applied ML
mentor scientists and engineers and promote a culture of rigorous, production-oriented development
Cross-Functional Influence: Partner with Product, Engineering, and other stakeholders to translate high-level requirements into scalable, technically sound solutions
Strategic Innovation: Stay current with advances in AI and computer vision research, identifying techniques that can be adapted for practical, real-world applications

What we offer

Offers Equity
Offers Bonus

Fulltime

Principal Applied Scientist - Small Language Models

Microsoft’s Applied Sciences Group is seeking a visionary and hands-on Principal...

Location

United Kingdom , Reading

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Computer Vision, Machine Learning, or a related field with demonstratable experience in applied research or product development
OR Master's degree in Computer Vision, Machine Learning, or a related field with demonstratable experience in applied research or product development
OR Bachelor's degree in Computer Vision, Machine Learning, or a related field with demonstratable experience in applied research or product development
Strong publication record in top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICLR, AAAI)
Advanced Python or C++ (especially C++11 and newer) experience
Advanced experience in deep learning and its different toolkits, in particular Pytorch or TensorFlow
Ability to meet Microsoft, customer and/or government security screening requirements
Demonstrated ability to translate research into real-world applications
Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow, HuggingFace)
Hands-on experience with generative models, especially diffusion and transformer-based synthesis

Job Responsibility

Design and prototype unified token-based architectures that treat text and/or image data as sequences for coherent text or multimodal generation
Work on SLMs for tasks such as planning, image captioning, visual question answering, and structured text generation
Build scalable training pipelines for large-scale text datasets
Optimize deep neural networks for deployment on Neural Processing Units (NPUs), GPUs and cloud environments, maximizing efficiency and performance
Collaborate with cross-functional teams to integrate models into Microsoft products and services
Publish research in top-tier venues (NeurIPS, CVPR, ICCV, ICLR) and contribute to the scientific community
Mentor junior scientists and engineers, fostering a collaborative and innovative research environment

Fulltime

New

Senior Computer Vision Scientist, 3D

Xometry is adding a Senior Computer Vision Scientist to our cost prediction team...

Location

United States , North Bethesda

Salary:

140000.00 - 182000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

Bachelor’s degree required
degree in applied math, computer science, natural sciences or engineering preferred
M.S. or PhD in a related field highly desired
5+ years of experience with machine learning, statistical modeling, and optimization techniques
2+ years of experience in 3D deep learning
Mesh, Volumetric, and/or Point Clouds
Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)
Proficient in linear algebra and statistics
Familiar with scientific software principals, e.g. versioning systems, reproducibility, code deployment
Experience in the manufacturing industry is desired

Job Responsibility

Use data science and machine learning principles to develop effective predictive models using 3D data
Write software to prepare, clean, and sample data for use in developing predictive models
Use cloud resources (e.g., Amazon Web Services) to prepare and process data
Query and extract data from databases (Snowflake and MongoDB)
Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy
Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm
Solve challenging, uncharted problems
Work in an environment that thrives on teamwork and continuous learning opportunities

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

New

Principal Applied Data Scientist - AI for Good Lab

The AI for Good Lab is hiring a Principal Applied Data Scientist to join our tea...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience
Deep foundation in AI, machine learning, statistics, or related quantitative methods applied to real-world problems
Experience working end-to-end with data-from sourcing and exploration through modeling, interpretation, and communication
Proficiency in at least one scientific programming language (Python, R or equivalent languages) and experience with SQL or similar query languages
Excellent written and verbal communication skills, with demonstrated experience communicating complex ideas clearly and persuasively to non-technical audiences
Proven ability to influence outcomes and lead work in cross-functional, matrixed environments

Job Responsibility

Lead and develop applied AI solutions (LLMs, Agents, Computer Vision) and data science solutions by identifying and gathering data, shaping problem formulations, applying AI, machine learning, and statistical methods, and generating insight with real-world impact
Use AI creatively as a research and solution-building tool, combining quantitative methods, experimentation, and domain knowledge to surface patterns, test ideas, and inform decisions
Rapidly prototype and validate approaches using modeling, statistics and experimentation
select methods under real-world constraints (cost/latency, safety, privacy, maintainability)
Design and build reliable, maintainable, end-to-end systems spanning data pipelines, model lifecycle, evaluation/telemetry, deployment, and operations
Advance the AI for Good Lab research agenda by authoring technical papers and presentation, published both internally and externally
Work in close partnership with other researchers and research organizations, as well as policy, industry, and nonprofit stakeholders, to co-create solutions
Present findings with clear and compelling narratives, using impactful visualizations and storytelling to articulate insights that drive understanding and action
Lead through influence by shaping technical direction and standards (model evaluation, responsible AI, safety/privacy, and monitoring), aligning collaborators, navigating tradeoffs, and sustaining momentum across teams and institutions

Fulltime

Principal Applied AI Engineer

Security represents the most critical priorities for our customers in a world aw...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Data Science or related technical field
Minimum 9+ Years of total Experience
5+ years technical engineering experience with coding in languages including C#, Java AND Python
Should have 5+ years in Data Science experience
3 years of experience with LLMs and open-source GenAI frameworks, such as LangChain, LlamaIndex, Haystack, or equivalents (e.g., Transformers, AutoGen, DSPy), including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning and evaluation
Proficiency in writing production-quality software code in one or more modern programming languages (Python, C#)
3+ years experience developing software systems end-to-end, from design to implementation
2+ years experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.)

Job Responsibility

Design, develop, and deploy end-to-end AI/ML systems, including data ingestion, model training, evaluation, and integration into production environments
Build and optimize applications leveraging LLMs and open-source GenAI frameworks such as LangChain, LlamaIndex, Haystack, Transformers, AutoGen, and DSPy
Implement advanced GenAI techniques including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning
Write production-grade software in Python and C# or Java, ensuring maintainability, scalability, and performance
Collaborate with cross-functional teams to translate business requirements into technical solutions
Ship and maintain large-scale AI applications, with a focus on performance monitoring and continuous improvement
Conduct rigorous evaluation of AI models using appropriate metrics and benchmarks
Optimize models for latency, throughput, and accuracy in real-world scenarios
Work closely with data scientists, product managers, and other engineers to drive AI initiatives
Stay current with the latest advancements in GenAI, LLMs, and AI frameworks

Fulltime

Principal Applied Scientist, Computer Vision

Lime

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 20, 2026

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