ai researcher

3rdeyesoft

Position: AI Research Scientist / AI PhD (Healthcare) Company: 3rdEyeSoft Location: Multan (On-site) Job Type: Full-TimeAbout 3rdEyeSoft3rdEyeSoft is a Digital Healthcare Company focused on transforming healthcare through advanced technology and applied research. We build intelligent, AI-powered health solutions that support physicians, improve diagnostics, and enable data-driven clinical decision-making. Our work spans healthcare analytics, disease prediction systems, medical AI research, and smart health applications.Position OverviewWe are seeking a highly motivated PhD-level AI Researcher to lead and contribute to advanced AI/ML research initiatives in healthcare. This role is ideal for candidates with a strong academic background who want to apply research to real-world healthcare problems. You will work closely with clinicians, engineers, and product teams to design, validate, and deploy cutting-edge AI solutions.Key Responsibilities<ul><li>Design, research, and develop advanced AI/ML models for healthcare use cases such as disease prediction, risk stratification, and patient outcome analysis.</li><li>Conduct applied research using large-scale healthcare datasets and translate findings into production-ready solutions.</li><li>Explore and implement state-of-the-art techniques in deep learning, NLP, computer vision, and predictive analytics for medical data.</li><li>Collaborate with physicians, product designers, and engineers to align AI research with clinical and business needs.</li><li>Evaluate model performance, interpretability, fairness, and clinical relevance.</li><li>Ensure compliance with healthcare data privacy, security, and ethical AI standards.</li><li>Stay updated with the latest AI research, publish findings when applicable, and propose innovative healthcare AI solutions.</li><li>Mentor junior AI/ML engineers and contribute to building a strong research culture within the company.</li></ul>Required Skills &amp; Qualifications<ul><li>PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a closely related field.</li><li>Strong research background in AI/ML with publications or thesis work in relevant domains (preferred).</li><li>Excellent programming skills in Python and hands-on experience with PyTorch, TensorFlow, or Scikit-learn.</li><li>Solid understanding of deep learning architectures, optimization techniques, and model evaluation.</li><li>Experience working with healthcare data (EHR, medical imaging, biosignals, wearable data) is a strong plus.</li><li>Knowledge of NLP, medical chatbots, clinical prediction models, or computer vision for healthcare is highly desirable.</li><li>Strong analytical thinking, problem-solving ability, and communication skills.</li><li>Ability to bridge academic research with real-world product development.</li></ul>What We Offer<ul><li>Competitive salary package aligned with research expertise.</li><li>Opportunity to work on impactful, real-world healthcare AI problems.</li><li>Research-driven and collaborative work environment.</li><li>Access to healthcare datasets and applied AI projects.</li><li>Long-term growth opportunities in AI research and digital healthcare innovation.</li></ul>Job Type: Full-timePay: From Rs150,000.00 per monthWork Location: In person

AI Research Scientist / AI PhD (Healthcare)

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Currently enrolled in a PhD program in Computer Science and Engineering, Machine Intelligence and Data Science, AI, or a related technical field.</li>
<li>Experience in one or more areas of Machine Learning (e.g., Large Language Models, Deep Learning, Natural Language Understanding, Computer Vision, etc.).</li>
<li>Experience programming in Python.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Currently enrolled in a full-time degree program and returning to the program after completion of the internship.</li>
<li>Experience as a researcher, including internships, full-time, or at a lab.</li>
<li>Experience contributing to research communities or efforts, including publishing papers in conferences or journals.</li>
<li>Experience with one or more ML frameworks (e.g., TF, JAX, Flax, etc.).</li>
<li>Experience working with big-data or training a foundational model.</li>
<li>Ability to design and execute on research agendas.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google including Search, Maps, and Google Now, and is central to the success of Google Cloud and our computing, storage, and networking infrastructure.
Research Interns work with Research Scientists and Software Engineers to discover, invent, and build at scale. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. You are also expected to contribute to the wider research community by publishing papers.
This research internship is part of AI Innovation and Research (AIR), the applied research arm of Platforms and Devices organization. Within AIR, we focus on both foundational research and AI solutions to deliver the next generation of products in Platforms and Devices. This involves collaborating with Android, Chrome, XR, Home and other teams within Platforms and Devices.
Our work encompasses&mdash;but is not limited to&mdash;on-device intelligence, foundational models, privacy, performance optimization for resource-constrained environments, novel ML architectures and AI-driven product experiences.
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Participate in research to develop solutions for problems. 
</li>
<li>Research, conceive, and develop ML solutions to accelerate different teams in platforms and devices. 
</li>
<li>Contribute to deeper understanding of limitations of ML architectures, trade-offs and optimizations. 
</li>
<li>Lay down the next steps for adoption of the research into next generation product development.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Scientist Intern, PhD, 2026

TheSoul Group

<div>TheSoul Group is a leading creator business platform positioned at the heart of the creator economy. Our original videos, animations, and editorial stories inspire audiences in 21 languages, across 60 platforms and 20 websites.
Together with our network of 15,000 talented creators, we reach over 5 billion followers and generate more than 100 billion monthly views on social media.
As a global powerhouse in digital media, we drive viral success for creators and brands worldwide through a wide range of services, leveraging our expertise in content distribution, localization, and social media management. We&rsquo;re the creators behind global phenomena such as 5-Minute Crafts and BrightSide, and we continue to expand our influence in the creator economy through strategic acquisitions like Mediacube and Underscore Talent.
We&rsquo;re a dynamic, remote-first global team, fostering award-winning creativity, a no-red-tape approach, and great vibes!
We are seeking an exceptional Applied AI Data Scientist to join our team at the forefront of content intelligence. You will explore the world&rsquo;s largest dataset on content performance&mdash;over 100 billion views per month across 50+ platforms&mdash;to uncover hidden insights and drive measurable impact. Your work will power AI agents, automate analytics, and directly shape high-level business strategy, reporting to the CEO. This is a rare opportunity to combine advanced AI research with real-world product and business influence.
Responsibilities<ul><li>
Analyze and interpret metrics like CTR, retention, engagement, and user behavior at an unprecedented scale (100B+ views/month).
</li><li>Build robust and reproducible analytical workflows to uncover actionable insights.
</li><li>Validate and optimize measurement methods to ensure accuracy across platforms.
</li><li>Identify non-obvious correlations, causal relationships, and latent patterns in large, complex datasets.
</li><li>Translate statistical findings into strategic recommendations for content, product, and growth teams.
</li><li>Challenge assumptions and propose innovative analytical frameworks.
</li><li>Design, build, and maintain AI agents that automate routine and complex analytical processes.
</li><li>Experiment with LLMs, reinforcement learning, and other generative AI techniques to accelerate insights.
</li><li>Deploy AI solutions in production to improve decision-making speed and accuracy.
</li><li>Develop end-to-end machine learning pipelines for large-scale data processing.
</li><li>Ensure code quality, reproducibility, and scalability for production environments.
</li><li>Continuously monitor, test, and optimize ML/DL models for performance and robustness.
</li><li>Present findings and strategic recommendations directly to the CEO.
</li><li>Influence high-level business and content strategy with data-driven insights.
</li>Communicate complex technical results in a clear, actionable manner for non-technical stakeholders. 
<li>
</li></ul> 
 
Requirements 
<ul><li>
Professional experience as a Data Scientist, Machine Learning Engineer, or Applied AI researcher, with a track record of deploying models or building analytical systems in production.</li><li>
Russian language fluency and strong English language proficiency for reporting, collaboration, and presenting insights.</li><li>
Proven top-tier competitive coding credentials: Kaggle Master+, ICPC medalist, IOI medalist, or Codeforces IM+.</li><li>
Strong programming skills with production-ready Python and SQL experience.</li><li>
Deep understanding of machine learning and deep learning, beyond standard boosting models.</li><li>
Intellectual curiosity and ownership mentality&mdash;you take full responsibility for problem-solving end-to-end.</li><li>
Experience turning complex datasets into actionable insights for business or product strategy.</li></ul>
Nice-to-have<ul><li>
Experience working with large-scale datasets (PB-scale) and distributed systems.</li><li>
Hands-on experience building or deploying LLMs, AI agents, or advanced automation systems.</li><li>
Knowledge of content, media, or social platform analytics.</li></ul> 

Benefits 
<ul><li>
Competitive Salary: We respect the candidate&rsquo;s competence, so we discuss the salary individually and offer a truly competitive one, along with performance-based bonuses.</li><li>
Flexible Work Options: Work from home, your favorite caf&eacute;, or anywhere that sparks your creativity. Enjoy the freedom with remote work options that fit your lifestyle.</li><li>
Creative Vibes and an International Team: 80% of our employees are creators working from 70+ countries, producing awesome content for billions of followers worldwide.</li><li>
Talent Growth: Engage in transparent knowledge sharing within the company and our internal academy, offering 470+ courses&mdash;learn, teach, or both, and shape your path to expertise.</li><li>
Tech-savvy Culture: An ecosystem that sparks innovation, embraces the latest tools, promotes transparent task management, and empowers flexible collaboration&mdash;no time constraints or meetings, just results!</li><li>
Seamless Operations: An ecosystem that fuels new ideas, promotes transparent task management, empowers flexible collaboration without time constraints or meetings&mdash;no red tape, just results! 
</li></ul>We appreciate your interest in our job opportunities and our company. Our team carefully evaluates each application to identify the most suitable candidates for the role. Due to the high volume of applications received, we may not be able to respond to every applicant. However, if your qualifications align with our requirements, we will contact you to discuss the next steps in the selection process.</div>

Applied AI Data Scientist (CEO Office)

Astera Institute

<div><h1 class="jobSectionHeader">Astera Institute</h1><h2 class="jobSectionHeader">
Machine Learning Researcher</h2><h2 class="jobSectionHeader">
Position Summary</h2>
Datasets in many areas, science in particular, are often small, heterogeneous, and expensive. Human scientists can take these datasets and generate models to describe them, but this process of model induction is labor-intensive and error-prone. Machine learning is a general and scalable solution, but it is not uniformly sample efficient.
The Astera Institute is seeking a Machine Learning Researcher to help surmount this barrier with new architectures for data-efficient and general model induction. This includes bootstrapped program synthesis, along with components for a system that synthesizes its own learning algorithms - a machine learning strange loop. This is a full time position that reports to Timothy Hanson.<h2 class="jobSectionHeader">
Responsibilities:</h2><ul><li>
Hypothesize, test, and refine means of improving generalization performance of common architectural elements, including different forms of attention. This includes devising controlled datasets to elucidate e.g. learning order &amp; learned representations.</li><li>
Think both mathematically and empirically about problems of runtime inference in gradient-trained networks, with an eye to the extensive literature on statistical learning.</li><li>
Contribute to a well-documented and well-instrumented code base that is performant where necessary yet expeditious where experimental throughput demands.</li></ul><h2 class="jobSectionHeader">
Qualifications and Experience</h2><ul><li>
Masters or equivalent in machine learning, mathematics, or equivalent fields (strong candidates from neuroscience are encouraged to apply).</li><li>
Fluency with Pytorch, and familiarity with JAX, CUDA, and/or Triton + their open-source ecosystems.</li><li>
Demonstrated ability do fundamental research.</li><li>
Demonstrated ability to work in teams.</li></ul><h2 class="jobSectionHeader">
About Astera:</h2>
Astera Institute is a new kind of research organization that operates outside the constraints of markets or academia, and is itself an experiment in how research organizations can move faster, take smarter risks, and create lasting public goods. Our key programs include:<ul><li>
Our Residency is a one to two-year program that supports extraordinary scientists who are producing public goods. We support not only residents&rsquo; salaries, but also budgets for them to hire a team and meet other needs to accelerate their work.</li><li>
Radial supports biotechnology-focused projects and is redefining how science should be done.</li><li>
Obelisk does fundamental research in Artificial General Intelligence to ensure it brings good to humanity.</li></ul>
Astera is uniquely positioned to shape the course of rapid scientific and technological innovation because of:<ul><li>
A $2.5B endowment, which we intend to deploy boldly rather than preserve in perpetuity.</li><li>
A small, agile team: We are staffed much more leanly than other foundations, and aim to keep bureaucracy as minimal as possible. It's more accurate to think of us as a startup than a traditional foundation.</li><li>
High risk tolerance: We take an experimental approach to our programming that means we expect projects to fail with some frequency.</li><li>
Disinterest in consensus: we add value by supporting projects, programs, and people that other organizations can&rsquo;t or won&rsquo;t.</li></ul><h2 class="jobSectionHeader">
Location</h2>
This position is hybrid at our office in Emeryville, CA. Some travel may be required from time-to-time for in-person collaboration and work.<h2 class="jobSectionHeader">
Compensation</h2>
The posted salary range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location.
Compensation Range: $150K - $300K</div>

Machine Learning Researcher

MIT Lincoln Laboratory

<div>
 The Human Health &amp; Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of foreign language learning, integrated wearable systems, human-machine teaming, neurocognitive analytics, and medical technologies. In the foreign language learning domain, we emphasize the application of generative AI to enable personalized, adaptive, and scalable foreign language training, including the development, fine-tuning, and evaluation of large language models for instructional use. Our group is highly interdisciplinary and includes scientific experts in linguistics, physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, mathematics, and physics. Our core technical competencies include system-level modeling, advanced sensing and signal processing, generative and discriminative machine learning, hardware and software prototyping, and human data collection in laboratory and field environments.
 
 
 
 Job Description
 
 
 
 As an Associate Staff in the Accelerated Learning domain, you will work with your team to address key stakeholder needs and further the Group's mission by:
 
 
 <ul>
 <li>
 Developing individualized learning pipelines based on deep understanding of language learning concepts and generative AI-driven personalization strategies
 </li>
 <li>
 Designing and implementing Generative AI systems to support adaptive tutoring, automated feedback, content generation, and learner assessment
 </li>
 <li>
 Curating, annotating, and managing text corpora (e.g., learner responses, instructional content, proficiency-aligned corpora) to support LLM training, fine-tuning, and evaluation
 </li>
 <li>
 Creating novel AI-based tools to infer individuals' cognitive states with generative models to adapt learning experiences in near-real time
 </li>
 <li>
 Developing software to deploy laboratory-developed GenAI-enabled systems into real-world environments where training and education occurs
 </li>
 <li>
 Designing and executing human subject studies to validate AI- and GenAI-driven learning paradigms, including their effectiveness, robustness, and ethical use
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 A Masters&rsquo; degree in computer science, AI/ML, data science, mathematics, statistics, applied linguistics, psychology, neuroscience, or related fields, or 2+ years of equivalent experience.
 </li>
 <li>
 Strong background in AI: Experience with Python and modern AI methods, including Generative AI and foundation models (e.g., large language models, feedback, and content generation), Responsible AI, and machine learning (e.g., model tuning and training, PyTorch, deep learning, transformers).
 </li>
 <li>
 Experience applying these methods to language, learning, or human-centered AI problems is strongly preferred.
 
 
 
 </li>
 </ul>
 Recent Graduate Hiring Range: $116,400 - $140,000
 
 
 Experienced Hiring Range: $116,400 - $182,200
 
 
 
 Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including&mdash;but not limited to&mdash;the scope and responsibilities of the role, the candidate&rsquo;s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.
 
 
 
 At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
 
 
 <ul>
 <li>
 Comprehensive health, dental, and vision plans
 </li>
 <li>
 MIT-funded pension
 </li>
 <li>
 Matching 401K
 </li>
 <li>
 Paid leave (including vacation, sick, parental, military, etc.)
 </li>
 <li>
 Tuition reimbursement and continuing education programs
 </li>
 <li>
 Mentorship programs
 </li>
 <li>
 A range of work-life balance options
 </li>
 <li>
 ... and much more!
 
 
 
 </li>
 </ul>
 Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks .
 
 
 Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
 
 
 MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
 
 
 
 Requisition ID:
 
 42643
</div>

Accelerated Learning Generative AI

Pacific Community Ventures

About Us PCV is a nonprofit community development investor that supports small business entrepreneurs and their communities to build economic mobility through the power of inclusive entrepreneurship and a good quality job. We work side-by-side with small business leaders through our unique integrated model: combining impact-first Restorative Capital and Pro Bono Business Advising with our Good Jobs Innovation Lab that propels thriving communities with equitable jobs, climate outcomes, uplifts and amplifies their voices and needs through research and policy advocacy.The Role Are you an experienced data scientist who is passionate about applying your data and technology development skills towards building a more equitable society? If so, please consider joining Pacific Community Ventures as a Data Scientist. As a mission-driven lender, we invest in diverse small businesses across the state of California to help them grow and strengthen their practices. You&rsquo;ll work to take our renowned data practices to the next level, setting new standards in the community development financial institution (CDFI) ecosystem for machine learning and artificial intelligence innovations to expand access to capital, advising, and good jobs in underestimated communities.Why You&rsquo;re Needed We&rsquo;re a dynamic nonprofit organization with a growing Loan Fund that supports more and more small businesses with loans and pro bono mentoring, creating good jobs in low-and-moderate income communities. With our expansion, we are adding systems, processes, and software to reach entrepreneurs more effectively, and manage the outcomes and impact of our work more efficiently. You will be a member of our Data Hub team, able to expand PCV&rsquo;s reputation for data excellence. You bring a strong track record of success in data and analytics, machine learning, artificial intelligence, and insights generation, with strong analytical, technical, writing, and interpersonal skills. You are self-directed, able to create clarity out of ambiguity, attentive to detail and data integrity, think critically, and are passionate about investing in underserved communities and creating good jobs.Position Overview This position will report to the Principal Researcher/Chief Data Officer. This is a wonderful opportunity to drive transformative advancements in data infrastructure and innovation by supporting PCV&rsquo;s Data Hub initiative and building tools that amplify PCV&rsquo;s impact across underserved communities.The Data Scientist will advance PCV&rsquo;s research and innovation capability and build best practices around an ethical and collaborative data culture. This role will sit within the Data Hub and will serve to strengthen PCV&rsquo;s reputation as a data leader in the CDFI space.Key Responsibilities Research with the Good Jobs Innovation Lab ● Collaborate closely with the Lab to create and facilitate a unique and bold Research Agenda, based on PCV&rsquo;s data capabilities, internal knowledge of gaps in the CDFI ecosystem, stakeholder input, and staff capacity. ● Mentor Lab staff by holding data science office hours to assist in ongoing Lab research projects with the aim of increasing staff confidence and knowledge of statistical and machine learning methods. ● Design and carry out innovative research projects in collaboration with the Lab, from data collection through to delivery of results, in alignment with PCVs Research Agenda. ● Publicly publish and internally peer review research and data stories that advance the use and understanding of data in the CDFI and economic mobility space.Data Culture, Education, and Governance ● Working with other data staff, conduct a review of data culture at PCV, assessing staff willingness to use, collect and store available data and current practices around data hygiene and governance. ● Build PCV&rsquo;s data governance best practices, taking into account data workers&rsquo; daily flow, available industry standards, and PCV&rsquo;s data infrastructure capabilities. ● Create a plan to implement these best practices, including education and regular internal audits around data usage capabilities, and its governance, with the aim of furthering an open and inclusive attitude towards data at PCV. ● Regularly touch base with senior management to ensure data governance and data culture continues to be a priority. Data Science Collaboration ● Own Data Science projects from various stakeholders that require heavy machine learning, AI, or statistical capabilities, such as metric creation, building a chat-bot, or a market segmentation model. ● Take a Data Science project through from beginning to end, working closely with stakeholders to understand the problem, design, build and deliver a solution, and monitor results. ● Employ and experiment with EDA, Feature Engineering, model evaluation, and other ML techniques to drive iterative scoping of the project, based on stakeholder feedback at various touchpoints. ● Write production-quality code in Python, including testing, logging, and CI/CD, working with data and ML engineers to deploy solutions in a production environment. ● Miscellaneous duties and responsibilities can be added at any time.Qualifications, Skills &amp; Experience: We strive hard to be a diverse and inclusive place to work. We value new perspectives, original ideas, and different ways of working. You will bring a background of working with dynamic teams and projects, as well as excellent analytical and communications skills that you are eager to apply to complex social problems. You should demonstrate a deep commitment to creating social and environmental benefit, under-invested people, and places.Education and Experience ● Bachelor&rsquo;s and Master&rsquo;s degrees in Data Science, Statistics, and/or Computer Science, with a focus on Data Science and Cybersecurity. ● 5+ years of experience as a Data Scientist, in a research-oriented role requiring statistical and ML experience.Technical Expertise ● Ability to formulate and carry out a research project from hypothesis and data collection through to testing and delivery of results. ● In-depth understanding of statistical frameworks such as probability distributions and Bayesian theory, including their limitations. ● Hands-on experience implementing ML techniques in Python, such as sampling, dimension reduction, regression, tree algorithms, and clustering algorithms. ● Strong writing skills, experience in writing research briefs and delivering insights and results to stakeholders. ● Proficiency in Python and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Pandas). ● Familiarity with data policy and governance best practices. Core Competencies ● Strong problem-solving skills with the ability to scope and target key pain points. ● Enthusiasm for collaboration and mentorship in order to foster a communal data culture. ● Excellent communication skills to deliver complex data in a simple, actionable way. ● Commitment to leveraging technology for social good and advancing economic equity.Other Qualifications ● Strongly preferred: experience working in the CDFI ecosystem as demonstrated in comfort with financial services practices and terminology. ● Strongly preferred: Knowledge of Tableau (and other data visualization software). ● Strongly preferred: Hands-on experience deploying models in production using cloud platforms like AWS, GCP, or Azure. ● Strongly preferred: Familiarity with CI/CD pipelines, SQL/NoSQL databases, and version control systems like Git. ● Strongly preferred: Experience creating and implementing data governance best practices.Location/Travel This position can be remote, but will require at least six hours per day (Monday through Friday) of overlap with colleagues in the US Pacific time zone for virtual collaboration.Computer Software: Microsoft Office to include Word, PowerPoint, Outlook, and Excel Tableau and Salesforce a plusPhysical and Mental Requirements:<ul><li>Ability to stand for extended periods of time, walk, talk, hear, use hands to finger, grasp, handle or feel, push, pull, reach, crouch, kneel, crawl or bend, and perform repetitive motions of the hands and/or wrists.</li><li>High mental and visual attention required for planning difficult work methods and sequences to obtain size, shape, or physical qualities of product. AND/OR Extremely close visual attention such as making delicate adjustments to control high speed operations to exercise very precise muscular control.</li></ul>To Apply Interested candidates must be legally authorized to work in the United States.Pay: $85,000.00 - $95,000.00 per yearBenefits:<ul><li>Dental insurance</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Professional development assistance</li><li>Retirement plan</li><li>Vision insurance</li></ul>Work Location: Hybrid remote in Oakland, CA 94612

Data Scientist

EnviTrace LLC

Job Title:Reports To: Co-Founder &amp; CTOLocation: Remote (U.S.), preference for New Mexico residentsSchedule: Flexible, up to 40 hours per weekCompany Overview: EnviTrace LLC is a science‑driven AI/ML technology company specializing in environmental, energy, and earth‑science applications. We develop advanced, science‑informed machine‑learning tools and cloud-based software that help clients analyze complex geologic and environmental data for use in geothermal exploration, geologic reservoir management, carbon sequestration, water and contaminant remediation, and other sustainability‑critical tasks. Founded in 2021 and based in Santa Fe, New Mexico, EnviTrace serves a growing market that intersects clean energy, environmental stewardship, and data-driven decision-making.Position Overview: EnviTrace seeks a highly motivated Research Scientist to contribute to cutting-edge projects in AI, machine learning (ML), and geoscience data analysis. This role offers flexibility in work schedule while requiring full accountability for project deliverables, research, and operational support. The position is funded primarily through DOE SBIR research grants and requires compliance with federal timekeeping regulations.Key Responsibilities:Research &amp; Technical Responsibilities:<ul><li>Develop, code, and apply advanced AI/ML methods and tools relevant to company projects.</li><li>Spearhead research initiatives in new AI/ML methods, software development, and applications.</li><li>Stay current with emerging scientific and commercial developments in areas critical to the company&rsquo;s R&amp;D and software &amp; services offerings.</li><li>Mentor junior staff, interns, and data scientists in coding, methodology, and project execution.</li><li>Lead proposal development for funding opportunities from the government and other agencies.</li><li>Seek, explore, and engage commercial partners and customers for consulting projects and SaaS licensing.</li><li>Prepare high-quality project proposals, reports, presentations, figures, animations, maps, and research papers for peer-reviewed publication.</li><li>Utilize code management and collaboration tools (e.g., Git, Google Cloud Suite) effectively.</li><li>Accurately track time and effort in compliance with federal grant requirements using Gusto.</li></ul>Business &amp; Collaboration Responsibilities:<ul><li>Expand professional network of collaborators, clients, and potential funding sources.</li><li>Promote and implement workflow improvements that enhance productivity, efficiency, and revenue generation.</li><li>Lead projects and tasks, contributing strategically to the company vision and culture.</li><li>Engage proactively in customer interactions and company team meetings.</li><li>Assist in broader company operations, including grant writing, webpage and marketing materials development, customer outreach/support, and strategic planning.</li></ul>General Responsibilities:<ul><li>Carry out tasks and responsibilities as assigned by the supervisor or manager, consistent with the role&rsquo;s objectives and scope.</li><li>Adhere to all company policies, procedures, and standards, including safety, security, and operational guidelines.</li><li>Perform other job-related duties as reasonably assigned to contribute to the overall success of the organization.</li><li>Participate in training, continuous development, and process improvement activities as assigned or recommended.</li><li>Exhibit professionalism in all interactions, including compliance with workplace standards and ethical guidelines.</li><li>Support team objectives by collaborating effectively and performing duties as required.</li></ul>Qualifications:<ul><li>Advanced degree (PhD preferred) in relevant fields (e.g., computer science, geoscience, data science), minimum 4 years in field.</li><li>Strong expertise in AI, machine learning, software development, algorithm design, and coding best practices.</li><li>Experience in proposal development and securing funding is advantageous.</li><li>Excellent written and verbal communication skills.</li><li>Demonstrated record of peer-reviewed publications and technical presentations at leading science conferences is advantageous.</li><li>Demonstrated ability to work independently and collaboratively.</li><li>Strategic thinking, self-motivation, and problem-solving aptitude.</li></ul>Equal Employment Opportunity &amp; Compliance StatementEnviTrace is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions at EnviTrace are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable federal, state, or local law.We comply with all applicable federal, state, and local employment laws, including those related to equal employment opportunity, wage and hour regulations, workplace safety, and anti-discrimination. Reasonable accommodations are available for qualified individuals with disabilities or for religious practices, in accordance with applicable law. EnviTrace is committed to providing a workplace free of harassment, retaliation, and unlawful discrimination. All employees are expected to uphold these principles in their interactions and conduct.Job Type: Full-timePay: $110,000.00 - $120,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Flexible schedule</li><li>Paid time off</li></ul>Education:<ul><li>Master's (Preferred)</li></ul>Experience:<ul><li>Geoscience: 4 years (Preferred)</li><li>AI models: 4 years (Preferred)</li></ul>Work Location: Remote

Research Scientist - Geoscience, Earth Science

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