ai research scientist

Siemens Healthineers

<div>Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. 
 
Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.
The Foundation AI Research Scientist is responsible for development of large-scale multimodal foundation models. The role involves designing, developing, and deploying next-generation AI architectures, including model distillation and few-/zero-shot learning approaches, to accelerate feature expansion across hundreds of findings. Collaborating with AI engineers and clinical experts, the scientist bridges foundational research with real-world healthcare applications, driving integration of AI systems into global clinical workflows.<div><div>
Job Description</div></div><div><div><div><div><div><div><div><div><div>
Foundation AI Research and Development:<ul><li>
Design, develop and deploy large-scale multi-modal foundation AI models, aiming for disruptive downstream performance</li><li>
Define model distillation techniques and innovative few-/zero-shot methods for significantly faster AI feature development (e.g., scaling systems to hundreds of findings)</li><li>
Coordinate closely with peer AI scientists, software engineers, and clinical experts to bridge AI innovation with real-world medical applications</li><li>
Strive to enable leaps in AI performance toward (semi-)autonomous systems that enhance decision-making, workflow automation, and personalized patient care</li><li>
Maintain constant awareness of relevant literature and new developments in the field</li><li>Next-Gen AI Integration in Clinical Workflow:</li></ul><ul><li>
Support integration of large-scale multimodal AI systems using medical imaging, electronic health records, real-time monitoring, and other healthcare data sources</li><li>
Guide the transition from AI research to scalable, real-world deployments in hospitals worldwide</li><li>AI Safety, Compliance &amp; Ethics:</li></ul><ul><li>
Drive research in AI safety, reliability, and interpretability to ensure models meet clinical-grade performance and ethical standards</li><li>
Contribute to compliance with global healthcare AI regulations and emerging AI safety frameworks</li><li>Publications and Intellectual Property:</li></ul><ul><li>
Publish research in high-visibility journals/conferences (TPAMI, MedIA, TMI, CVPR, ICCV, ECCV, etc.)</li><li>
Contribute to patents</li></ul></div></div></div></div></div></div></div></div></div>
Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.
How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual&rsquo;s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world&rsquo;s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
To find out more about Siemens Healthineers businesses, please visit our company page here.
The base pay range for this position is:
Min $128,700 - Max $193,040
Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.
If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance.
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan. life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time.
Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
EEO is the Law: Applicants and employees are protected under Federal law from discrimination. To learn more, click here.
Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations.
If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form here. If you&rsquo;re unable to complete the form, you can reach out to our HR People Connect People Contact Center for support at peopleconnectvendorsnam.func@siemens-healthineers.com. Please note HR People Connect People Contact Center will not have visibility of your application or interview status.
California Privacy Notice: California residents have the right to receive additional notices about their personal information. To learn more, click here.
Export Control: &ldquo;A successful candidate must be able to work with controlled technology in accordance with US export control law.&rdquo; &ldquo;It is Siemens Healthineers&rsquo; policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations.&rdquo;
Data Privacy: We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started.
Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site.
To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.</div>

Foundation AI Research Scientist

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 6 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Applied Scientist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Are you passionate about building data-driven applied science solutions to drive the profitability of the business? Are you excited about solving complex real world problems? Do you have proven analytical capabilities, exceptional communication, project management skills, and the ability to multi-task and thrive in a fast-paced environment? Join us a Senior Applied Scientist to deliver applied science solutions for Amazon Payment Products. Amazon Payment Products team creates and manages a global portfolio of payment products, including co-branded credit cards, instalment financing, etc. Within this team, we are looking for a Senior Applied Scientist who will be responsible for the following: 
 
Key job responsibilities 
As a Senior Applied Scientist, you will be responsible for designing and deploying scalable ML, GenAI, Agentic AI solutions that will impact the payments of millions of customers and solve key customer experience issues. You will develop novel deep learning, LLM for task automation, text processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will help the team leverage your expertise, by coaching and mentoring. You will contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices. You will independently as well as guide team to file for patents and/or publish research work where opportunities arise. As the Payment Products organization deals with problems that are directly related to payments of customers, the Senior Applied Scientist role will impact the large product strategy, identify new business opportunities and provides strategic direction, which will be very exciting.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience in applied research</li><li>Master's degree, or PhD</li><li>Master's degree, or PhD and 5+ years of practical machine learning experience</li><li>Knowledge of programming languages such as C/C++, Python, Java or Perl</li><li>Experience in leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Solid understanding of machine learning, deep learning algorithms and computational complexity. Experience in building and productionizing machine learning models for business application.</li><li>Demonstrated strong problem solving and analytical skills with ability to identify and frame technical problems from broad product-level and business-level problem areas.</li><li>Experience in end to end technical architecture, design, deployment and operations for Generative AI/ML platforms and applications. Demonstrated experience with LLM-powered agentic workflow, orchestration, agent customization and evaluation.</li><li>Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams. Demonstrated ability to communicate complex technical problems in simple plain stories.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.</li><li>Experience in delivering design solutions for projects of large scope and complexity</li><li>Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities.</li><li>Experience with AWS technologies such as SageMaker, OpenSearch, EC2, Glue, EMR, etc.</li><li>Experience in Applied Scientist role with a large technology company</li><li>Experience working in a fast-paced business environment and demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.</li><li>Credit or risk management experience</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Senior Applied Scientist, Amazon

Solventum

<div>Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers&rsquo; toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Description:
AI Scientist &ndash; Modern AI Applications
The Impact You&rsquo;ll Make in this Role
As a Principal AI Scientist with deep expertise in Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high-impact technical innovation in HIS applications. In this role, you will be a hands-on research and development leader - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create solutions that are explainable, reliable, and transformative for healthcare operations.<div></div>
Key Responsibilities
Research &amp; Innovation<ul><li>
Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows.</li><li>
Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text.</li><li>
Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding.</li></ul>
Healthcare-Focused AI Development<ul><li>
Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations.</li><li>
Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).</li><li>
Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement.</li></ul>
Technical Leadership<ul><li>
Serve as the primary technical authority on Agentic and Generative AI within project teams.</li><li>
Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops.</li><li>
Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices.</li></ul>
Operational &amp; Compliance Excellence<ul><li>
Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness.</li><li>
Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST).</li><li>
Partner with engineering to move research prototypes into production environments.</li></ul><div></div>
Required Qualifications<ul><li>
Master&rsquo;s in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models.</li></ul>
Or<ul><li>
PhD in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models.</li></ul><ul><li>
Proficiency in Python, R, and modern ML libraries.</li><li>
Experience with GenAI, LLMs, and transformer architectures.</li><li>
Skilled with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems).</li><li>
Hands-on experience with autonomous AI agents and reasoning systems.</li><li>
Strong track record applying AI to healthcare or life sciences use cases.</li><li>
Familiarity with cloud platforms (AWS) and MLOps practices.</li><li>
5+ years of experience managing direct reports (hiring, performance reviews, etc.)</li></ul>
Preferred Skills<ul><li>
Multi-modal AI research experience (text, image, structured data).</li><li>
Knowledge graph integration and symbolic reasoning expertise.</li><li>
Proven ability to take AI research from concept to production.</li></ul>
Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.
Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Solventum Global Terms of Use and Privacy Statement 
Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms.
Please access the linked document, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the 
terms.</div>

AI Scientist – Modern AI Applications

700apps

<div>
 700Apps is actively seeking a talented and experienced Senior AI Scientist to join our esteemed team. In this pivotal role, you will be responsible for advancing our artificial intelligence initiatives through rigorous research, model development, and the application of cutting-edge technologies. Your expertise will play a crucial role in shaping innovative AI solutions that address complex challenges and drive business outcomes.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Conduct extensive research in artificial intelligence and machine learning to develop state-of-the-art models that can be applied to various domains within the organization
 </li>
 <li>
 Design and implement robust AI algorithms and frameworks, ensuring scalability and efficiency in model performance
 </li>
 <li>
 Collaborate with cross-functional teams including data engineers, software developers, and business analysts to translate business needs into technical solutions
 </li>
 <li>
 Lead the development of advanced proofs of concept (POCs) and prototypes to demonstrate the potential of AI technologies to stakeholders
 </li>
 <li>
 Evaluate and refine existing models, implementing best practices to enhance their accuracy and reliability
 </li>
 <li>
 Stay abreast of the latest trends and advancements in AI research, providing thought leadership and insights to the team and the organization
 </li>
 <li>
 Document methodologies, findings, and insights to foster knowledge sharing and ensure reproducibility of results
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong research background
 </li>
 <li>
 5+ years of relevant experience in designing and developing AI models, particularly in natural language processing and large-scale machine learning applications
 </li>
 <li>
 Proficiency in programming languages such as Python and R, along with extensive experience using AI frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Strong understanding of statistical analysis, data mining techniques, and computational methods
 </li>
 <li>
 Demonstrated ability to work on complex datasets and develop accurate predictive models
 </li>
 <li>
 Exemplary problem-solving skills and capacity to work collaboratively in a fast-paced environment
 </li>
 <li>
 Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
 </li>
 <li>
 Publications in reputable AI conferences or journals are an advantage
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Private Health Insurance
 </li>
 <li>
 Training &amp; Development
 </li>
 <li>
 Attractive Salary
 </li>
 <li>
 Social Insurance
 </li>
 <li>
 Family Package
 </li>
 </ul>
</div>

Senior AI Scientist

<div>700Apps is actively seeking a talented and experienced Senior AI Scientist to join our esteemed team. In this pivotal role, you will be responsible for advancing our artificial intelligence initiatives through rigorous research, model development, and the application of cutting-edge technologies. Your expertise will play a crucial role in shaping innovative AI solutions that address complex challenges and drive business outcomes.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Conduct extensive research in artificial intelligence and machine learning to develop state-of-the-art models that can be applied to various domains within the organization.</li>
<li>Design and implement robust AI algorithms and frameworks, ensuring scalability and efficiency in model performance.</li>
<li>Collaborate with cross-functional teams including data engineers, software developers, and business analysts to translate business needs into technical solutions.</li>
<li>Lead the development of advanced proofs of concept (POCs) and prototypes to demonstrate the potential of AI technologies to stakeholders.</li>
<li>Evaluate and refine existing models, implementing best practices to enhance their accuracy and reliability.</li>
<li>Stay abreast of the latest trends and advancements in AI research, providing thought leadership and insights to the team and the organization.</li>
<li>Document methodologies, findings, and insights to foster knowledge sharing and ensure reproducibility of results.</li>
</ul>
Requirements<ul>
<li>Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong research background.</li>
<li>5+ years of relevant experience in designing and developing AI models, particularly in natural language processing and large-scale machine learning applications.</li>
<li>Proficiency in programming languages such as Python and R, along with extensive experience using AI frameworks (e.g., TensorFlow, PyTorch, Keras).</li>
<li>Strong understanding of statistical analysis, data mining techniques, and computational methods.</li>
<li>Demonstrated ability to work on complex datasets and develop accurate predictive models.</li>
<li>Exemplary problem-solving skills and capacity to work collaboratively in a fast-paced environment.</li>
<li>Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.</li>
<li>Publications in reputable AI conferences or journals are an advantage.</li>
</ul>Benefits<ul>
<li>Private Health Insurance</li>
<li>Training &amp; Development</li>
<li>Attractive Salary
</li><li>Social Insurance</li>
<li>Family Package</li></ul></div>

YO IT CONSULTING

<div>hiring a Data Scientist to help build advanced analytics and data-driven infrastructure for its AI lab partner focused on developing intelligent agent-based systems. This role is ideal for analytical thinkers who excel at turning large-scale data into actionable insights and enjoy working at the intersection of machine learning, experimentation, and real-world applications. You&rsquo;ll be designing data pipelines, statistical models, and performance metrics that drive the next generation of autonomous systems.
<h2 class="jobSectionHeader">You&rsquo;re a great fit if you:</h2>
<ul><li>Have a strong background in data science, machine learning, or applied statistics.
</li><li>Are proficient in Python, SQL, and familiar with libraries such as Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow.
</li><li>Understand probabilistic modeling, statistical inference, and experimentation frameworks (A/B testing, causal inference).
</li><li>Can collect, clean, and transform complex datasets into structured formats ready for modeling and analysis.
</li><li>Have experience designing and evaluating predictive models, using metrics like precision, recall, F1-score, and ROC-AUC.
</li><li>Are comfortable working with large-scale data systems (Snowflake, BigQuery, or similar).
</li><li>Are curious about AI agents, and how data can shape the reasoning, adaptability, and behavior of intelligent systems.
</li><li>Enjoy collaborating with cross-functional teams &mdash; from engineers to research scientists &mdash; to define meaningful KPIs and experiment setups.
</li></ul><h2 class="jobSectionHeader">Primary Goal of This Role</h2>
To design and implement robust data models, pipelines, and metrics that support experimentation, benchmarking, and continuous learning for agentic AI systems. The role focuses on building data-driven insights into how agents reason, perform, and improve over time across algorithmic and real-world tasks.
<h2 class="jobSectionHeader">What You&rsquo;ll Do</h2>
<ul><li>Develop data collection and preprocessing pipelines for structured and unstructured data from multiple agent simulations.
</li><li>Build and iterate on machine learning models for performance prediction, behavior clustering, and outcome optimization.
</li><li>Design and maintain dashboards and visualization tools for monitoring agent performance, benchmarks, and trends.
</li><li>Conduct statistical analyses to evaluate the efficacy of AI systems under various environments and constraints.
</li><li>Collaborate with engineers to design evaluation frameworks that measure reasoning quality, adaptability, and efficiency.
</li><li>Prototype data-driven tools and feedback loops to automatically improve model accuracy and agent behavior over time.
</li><li>Work closely with AI research teams to translate experimental results into scalable, production-grade insights.
</li></ul><h2 class="jobSectionHeader">Why This Role Is Exciting</h2>
<ul><li>Work at the forefront of AI agent intelligence and help define how data shapes their evolution.
</li><li>Blend machine learning, experimentation, and data engineering in one role.
</li><li>Collaborate with top-tier AI engineers on new agent benchmarks and feedback mechanisms.
</li><li>Contribute to a mission that merges algorithmic reasoning, real-world performance, and human-like decision-making.
</li></ul><h2 class="jobSectionHeader">Pay &amp; Work Structure</h2>
<ul><li>You&rsquo;ll be classified as an hourly contractor to.
</li><li>Paid weekly via Stripe Connect, based on hours logged.
</li><li>Part-time (20 hrs - 40 hrs/week) with fully remote, async flexibility &mdash; work from anywhere, on your own schedule.
</li><li>Weekly bonus of $500 - $1000 USD per 5 task created.</li></ul></div>

Data Scientist - LLM

Search 10000+ Ai research scientist jobs near you this December. New roles added regularly across leading industries. Apply today.

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