Principal AI Scientist Job at Altamira Technologies (McLean, VA)

Principal Data Scientist, AI

Working at Atlassian Atlassians can choose where they work – whether in an offic...

Location

United States , Seattle; San Francisco

Salary:

167100.00 - 268400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ Years of Experience in Data Science or related fields
Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
Experience driving projects or programs that have had a proven impact on business strategy and performance through your analytics skills
A proven track record for crafting analysis into well-written and persuasive content
Experience advising, presenting to and serving as a thought partner to senior executives

Job Responsibility

Collaborate on a variety of product and business problems with a diverse set of cross-functional partners, become a trusted strategic partner, and build credibility through the structure and clarity of your work
Apply technical expertise with statistical analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations
Partner with cross-functional teams to inform, influence, and execute strategy decisions
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian
Use storytelling techniques to communicate insights broadly, including to company leadership teams

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Principal AI Architect

We are seeking an experienced AI Architect to lead the design, implementation, a...

Location

India , Bengaluru

Salary:

Not provided

EvoluteIQ

Expiration Date

Until further notice

Requirements

12+ years of experience in data science, ML engineering and AI system architecture
Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, spaCy and related AI/ML frameworks
Expertise in MLOps tools such as MLflow, Kubeflow, Vertex AI, or SageMaker
Proficiency in data processing technologies (Spark, Kafka, Airflow) and data modeling
Strong background in deploying models such as APIs or services using Docker, Kubernetes, and REST/gRPC
Experience designing data pipelines and integrating AI with production systems
Should have an understanding of prompt engineering, LLM fine-tuning, and vector stores (e.g. Pinecone, FAISS, Weaviate)
Knowledge of cloud AI services (AWS, GCP, Azure) and distributed computing architectures
Proven experience implementing observability for models (drift, accuracy, bias, and performance)

Job Responsibility

Architect and oversee AI/ML pipelines covering data collection, preparation, training, validation, and inference
Define and implement scalable AI infrastructure for training, deployment, and continuous integration (MLOps)
Collaborate with data scientists, ML engineers, product manager, and product teams to translate business problems into AI-driven solutions
Establish frameworks for model governance, versioning, reproducibility, and explainability
Integrate models into production systems ensuring low latency, scalability, and reliability
Define data strategy, storage, and access patterns to support AI workloads
Build solutions to monitor model performance, drift, and data quality, implementing continuous retraining strategies
Ensure compliance with ethical AI, data privacy, and security best practices
Mentor AI/ML engineers and contribute to architectural decisions across the AI platform stack

What we offer

Opportunity to shape the strategy of a next-gen hyper-automation platform
Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
Competitive compensation and growth opportunities
A culture of innovation, ownership, and continuous learning

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

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 Scientist – Synthetic Separations

Amgen is seeking a highly motivated Senior Principal Scientist for their Discove...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Ph.D. in Chemistry, Analytical Chemistry, or related field with 8+ years of relevant experience, or M.S. with 12+ years of relevant experience in analytical or discovery chemistry within the biopharmaceutical industry
PhD in Analytical Chemistry or a related discipline with 8+ years of relevant industry experience in chromatographic analysis and/or purification of small molecules within a pharmaceutical R&D environment
Minimum of 5 years in a leadership or people management role
Develop, optimize, and implement analytical methods (LC, LC/MS, GC, SFC, NMR, HRMS, and related techniques) for purity assessment, structural confirmation, quantitative analysis, and reaction monitoring of synthetic compounds
Develop, optimize, and implement analytical methods (LC, LC/MS, GC, SFC, NMR, etc.) for purity assessment, structural confirmation, and reaction monitoring of synthetic compounds
Design, qualify, and maintain high-throughput or automated analytical workflows to support medicinal chemistry cycles
Collaborate with cross-functionally digital and automation groups to enable data-driven analytics and AI-supported structure prediction
Drive continuous improvement in analytical workflows and laboratory efficiency through process automation and robotics
Excellent written and verbal communication skills
Prepare concise, high-quality reports and presentations for internal review and external disclosure

Job Responsibility

Lead analytical strategy and execution for drug discovery-stage projects, enabling medicinal chemistry and early candidate selection through deep expertise in analytical and separation sciences
Bridge synthetic and analytical chemistry, ensuring rapid, reliable characterization of novel compounds and intermediates that drive Amgen’s small molecule discovery pipeline
Lead and manage the Synthetic Separations group, providing strategic direction, technical leadership, and mentorship to staff while prioritizing workloads, optimizing team performance, and serving as both a people manager and subject matter expert in synthetic separations
Design and qualify automated workflows enabling rapid turnaround and consistent data quality for purification and analysis of diverse compound libraries
Utilization of a diverse set of instruments and technologies, such as (but not limited to) HPLC, SFC, MS, mass-directed purification, and preparative-scale SFC and LC is necessary
Lead library purification efforts across multiple scales, ranging from microgram-level purification of screening compounds to hundreds of milligrams for advanced characterization
Assist in research efforts directed at improving process efficiencies, expanding the range of assays and applications, building state-of-the-art analytical capabilities, and improving technologies and infrastructure

AI Machine Learning Principal Engineer

Our Regulatory Engineering team thrives on the challenge of operating in a compl...

Location

Singapore , Singapore

Salary:

Not provided

Dell

Expiration Date

March 31, 2026

Requirements

Requires 8+ years of related experience in a professional role with a Bachelor’s degree
or 6+ years with a Master’s degree
or 3+ years with a PhD
or equivalent experience
Knowledge on product compliance, Safety, EMC, Wireless, Telecom and Environmental (e.g. Energy, Material, ECO Labels, Accessibility, Repairability, Packaging and etc.) legislation programs will be plus
Track record of being an enthusiastic and effective team player with experience leading and influencing internal and external stakeholders to ensure successful outcomes

Job Responsibility

Apply knowledge of AI machine learning, statistics, optimization, software engineering and data engineering to produce code for testing, operationalizing and governing software-integrated machine learning models
Works with stakeholders including business owners, software engineers, data scientists and data engineers to align and execute end-to-end solutions which start with data collection and management, extend through machine learning methodologies and efficiencies in software engineering, and end with governance of machine learning model performance
Optimizes code for existing data streams, machine learning models and APIs using best practices in software engineering and experimental design
Defines best practices for AI ML engineering, code optimization, model and system validation and model governance and educates prospects and customers on analytics and machine learning offerings
Leads the design and testing of analytical technologies, or the development/testing of new algorithms/functions to enhance capabilities within key market segments of interest
Leads definition of machine learning and data analytics vision, multiple use-case evaluation and selection criteria, as well as project-level scope definition for customers
Proactively identifies gaps and collaborates with engineering teams to find solutions, while solidifying commitments to execute these
Drives partnerships & relationships with third parties to develop vertical/horizontal analytical solutions and product integrations

What we offer

Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers
Industry Leading Wellness Platform
Employee Assistance Program

Principal Data Scientist

The Principal Data Scientist – Media Attribution will lead the development of cu...

Location

United States , Bellevue

Salary:

127400.00 - 229800.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Proven experience in marketing and media analytics, with a focus on attribution modeling, causal inference, and media mix optimization
Strong background in machine learning, econometrics, and statistical modeling with applications in marketing measurement
Expertise in Python, R, SQL, and cloud platforms (AWS, GCP, or Azure) for scalable modeling and data processing
Experience with experimental design and incrementality testing in digital and traditional media channels
Ability to communicate complex data science concepts to both technical and non-technical stakeholders, influencing business decisions
Ph.D. or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Applied Mathematics)

Job Responsibility

Lead the development and refinement of attribution models (MTA, MMM) to quantify the impact of media investments across channels (digital, social, TV, search, etc.)
Advance causal inference techniques to improve media measurement, including uplift modeling, propensity scoring, and Bayesian methods
Develop forecasting models to predict marketing performance, budget allocation impacts, and long-term customer acquisition trends
Enhance ad testing methodologies, including A/B testing, synthetic control experiments, and incrementality testing, to measure media effectiveness accurately
Collaborate with marketing, finance, and analytics teams to translate model insights into business strategies that drive ROI improvements
Optimize media spend through AI-driven decisioning, leveraging reinforcement learning, Bayesian optimization, and econometric modeling
Stay at the forefront of AI & ML innovations in marketing measurement, driving technical advancements and thought leadership within the team
Work closely with data engineers to scale and automate model deployment, integrating ML solutions into production environments

What we offer

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Senior Principal Product Manager, Confluence AI

As a Senior Principal Product Manager on the AI team for our Confluence product,...

Location

United States , San Francisco

Salary:

183200.00 - 294400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

10+ years of experience in product management, with a focus on AI, machine learning, or related technologies
Proven track record of successfully leading cross-functional teams to deliver complex software projects and successfully iterating on functionality through experimentation
Strong understanding of AI and machine learning concepts, with experience in applying these technologies to real-world products and solutions
Excellent communication and interpersonal skills, with the ability to convey complex ideas to both technical and non-technical stakeholders
Demonstrated ability to thrive in fast-paced environments with high levels of ambiguity, where priorities may shift rapidly and flexibility is essential for success

Job Responsibility

Own the vision and roadmap for AI within Confluence
Act as an AI leader across Atlassian, shaping the overall product strategy and thinking of AI from your vantage point within Confluence
Lead a direct cross-functional team of ~60 engineers, designers, data scientists, and other discipline leads to deliver high-quality AI functionality and features to end users
Collaborate closely with internal Confluence teams to support the integration of AI capabilities into their feature development process, ensuring alignment with AI program goals and coherence of experiences
Work closely with partner teams, including central platform teams, to align on vision, strategy, and execution plans for AI initiatives across Atlassian products
Define key results (KRs) and metrics to measure the success and impact of AI features, and use data-driven insights to iterate and improve
Meet regularly with customers to gather feedback and requirements, and to obtain a deep understanding of customer pain points
Stay informed about industry trends, emerging technologies, and competitive landscape related to AI and machine learning, and leverage this knowledge to drive innovation within Confluence
Act as a subject matter expert on AI technologies and methodologies, providing guidance and mentorship to team members and stakeholders
Communicate effectively with stakeholders at all levels of the organization, including executive leadership

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Principal AI Scientist

Altamira Technologies

Location:
United States , McLean, VA ▼
Denver, CO
State College, PA
Warrenton, VA
or Augusta, GA

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 19, 2026

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