machine learning researcher

Imec

<div></div><div><div><div><div><div>Research &amp; development - Doha | About a week ago</div><div><div>
Join imec's Falcon Research Center in Qatar as a Senior Researcher and pioneer the application of advanced AI techniques to revolutionize how we design and optimize future compute platforms.
</div></div><div></div><div><div>
</div></div></div></div></div><div><div><div><div><div><div>About imec Qatar</div>
<p>Imec Qatar is a new regional office where we drive our mission of pioneering innovative semiconductor solutions that lay the foundation for a smarter, greener, and truly AI-driven future. Specializing in advanced design tools for emerging technologies like silicon photonics and 3D integrated circuits, imec Qatar is at the forefront of chip development. And we're driving the future with intelligent solutions to optimize infrastructure, and deep-tech innovations targeting applications for a sustainable society.<br>
This is more than just a new office - it's the start of an exciting journey. With the launch of imec Qatar, you have the unique opportunity to join us from day one and help shape the future of semiconductor innovation in the region. Be part of the team from the very beginning, joining us as Senior Architect &ndash; Future Compute Platform!</p>
<p>What you will do</p>
<p>Join imec's Falcon Research Center in Qatar as a Senior Researcher at the intersection of artificial intelligence and computer architecture. You will pioneer the application of advanced AI techniques to revolutionize how we design and optimize future compute platforms, working on cutting-edge RISC-V based architectures for HPC and Mobile SoC applications.<br>
<br>
In this highly collaborative role, you'll bridge the worlds of machine learning and chip design, developing AI-assisted tools and methodologies that accelerate architecture exploration, optimize design decisions, and validate performance. Working alongside computer architects, chip designers, and software engineers, you'll translate research innovations into practical tools and frameworks that push the boundaries of what's possible in compute platform design.</p><ul><li><b>
Research &amp; Technical Leadership</b><br>
<ul><li>
Lead research initiatives applying AI/ML to computer architecture design space exploration</li><li>
Develop and implement AI-assisted methodologies for architecture optimization, performance prediction, and design validation</li><li>
Define technical direction for projects in collaboration with Compute Research and AI leadership</li><li>
Guide the team in achieving key milestones of the Compute Research roadmap</li></ul></li><li><b>
Hands-On Development &amp; Implementation</b><br>
<ul><li>
Design and implement AI models for architecture performance prediction, workload characterization, and design space exploration</li><li>
Develop surrogate models and optimization frameworks for rapid architecture evaluation</li><li>
Build tools and frameworks enabling heterogeneous compute platform design and validation</li><li>
Contribute to the reference architecture implementation, integrating AI-assisted design flows</li><li>
Take proof-of-concepts through to working prototypes and demonstration systems</li></ul></li><li><b>
Collaboration &amp; Mentorship</b><br>
<ul><li>
Work in a multidisciplinary team spanning ML researchers, computer architects, and chip designers</li><li>
Provide technical guidance and mentorship to team members on AI/ML methodologies</li><li>
Foster knowledge exchange between AI and hardware design domains</li><li>
Lead by example through hands-on contributions and collaborative problem-solving</li></ul></li><li><b>
Scientific Contribution</b><br>
<ul><li>
Publish research findings in top-tier ML and computer architecture venues</li><li>
Present work at international conferences and technical workshops</li><li>
Contribute to open-source tools and frameworks in the AI-assisted design community</li><li>
Stay current with state-of-the-art in both AI/ML and computer architecture research</li></ul></li></ul>
<p>You will be part of imec, and that means&hellip;</p>
<p>
You will join a world-class research center in nanotechnology at our brand-new office in Doha (Qatar). You will build a team that shapes technology that will determine the society of tomorrow. Imec is an inclusive employer with an open, multicultural, and informal working environment. We provide ample room for initiative and professional development.</p>
<p>Who you are</p>
<p><b>Required skills</b></p><ul><li>
PhD in Computer Science, Electrical Engineering, Machine Learning, or related STEM field (or MSc with 8+ years equivalent experience)</li><li>
5+ years of experience in applied research and/or development of AI/ML applications</li><li>
Deep expertise in one or more of the following:</li><li>
Reinforcement Learning for design optimization</li><li>
Bayesian Optimization and hyperparameter tuning</li><li>
Graph Neural Networks for hardware representation</li><li>
Surrogate modeling and transfer learning</li><li>
Agentic AI systems and multi-agent frameworks</li><li>
Strong scientific programming skills with demonstrated ability to write clean, maintainable, production-quality code</li><li>
Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX, or similar)</li><li>
Experience with version control (Git), code review practices, and collaborative development workflows</li><li>
Excellent documentation skills and commitment to reproducible research</li><li>
Proven ability to work effectively in multidisciplinary teams</li><li>
Strong communication skills in English, both written and verbal</li><li>
Familiarity or experience with R&amp;D of SoC Architectures and ASICs Design is a big plus.</li></ul><p><b><br>
Preferred</b></p><ul><li>
Experience leading ML teams in research or development environments</li><li>
Familiarity with computer architecture concepts, design space exploration, or performance modeling</li><li>
Background in SoC architecture design, ASIC development, or hardware-software co-design</li><li>
Knowledge of RISC-V ISA or other processor architectures</li><li>
Experience with:</li><li>
Architecture simulators (gem5, Sniper, or similar)</li><li>
Hardware description languages (Verilog, Chisel)</li><li>
EDA tools and ASIC design flows</li><li>
High-performance computing or parallel computing</li><li>
Track record of publications at premier venues (NeurIPS, ICML, ICLR, ISCA, MICRO, DAC, ICCAD)</li><li>
Contributions to open-source ML or hardware design tools</li><li>
Experience working in international, multicultural research environments</li></ul><p><i>
IMEC and its affiliates will not accept unsolicited resumes from any source other than directly from a candidate. IMEC will consider unsolicited referrals and/or resumes submitted by vendors such as search firms, staffing agencies, professional recruiters, fee-based referral services and recruiting agencies (hereafter &ldquo;Agency&rdquo;) to have been referred by the Agency free of charge. IMEC will not pay a fee to any Agency that does not have a prior written agreement with IMEC, validated by its HR department, in place regarding a specific job opening and allowing to submit resumes.</i></p></div></div></div></div></div></div><p></p>

Senior Architect – Future Compute Platform

black.ai

<p>At Sonder, we believe that every person deserves to feel safe, supported, and empowered to be at their best - wherever they are. That's why we're redefining workplace health, safety, and wellbeing through a seamless blend of technology and human expertise. Sonder's mobile platform provides 24/7, real-time support from a dedicated team of safety, medical, and mental health professionals - ensuring that our members receive immediate care when they need it most. In critical situations, we go beyond digital support, offering on-the-ground assistance to manage time-sensitive incidents.</p> <p>By harnessing real-time insights, we enable organisations to take proactive steps toward a healthier, safer future, which leads directly to tangible bottom-line business outcomes.</p> <p><b>An Exciting Time to Join Sonder!</b></p> <p>Since our founding in 2017, Sonder has experienced rapid growth, expanding operations across Australia, New Zealand, and the UK. Backed by Australia's leading venture capital firms, Seek and Blackbird, we are well-capitalised and on a mission to scale globally, partnering with corporations, educational institutions, and government agencies to transform workplace wellbeing at scale.</p> <p>Our impact and scale:</p> <ul> <li>1,000,000+ members across multiple countries</li> <li>200+ team members, plus an extensive network of on-the-ground responders</li> </ul> <p>If you're passionate about using technology and human expertise to drive meaningful change, join us in shaping the future of workplace wellbeing!</p> <b>Role Summary</b> <p>Are you a recent PhD graduate or Postdoctoral researcher passionate about applying cutting edge AI to solve real world problems? Join Sonder as an Applied Machine Learning Scientist/Engineer - focusing on LLM Research & Fine Tuning Engineering, and help us build a new generation of AI systems that directly impact human well being and safety.</p> <p>This is a unique opportunity for a PhD level candidate to apply their deep academic knowledge to a mission driven environment. This role is distinct from typical AI tooling or RAG based roles.</p> <p>We are not seeking candidates whose primary experience is in building vector search systems or integrating off the shelf APIs. Instead, we require deep, hands on expertise with the internal workings of large language models. Your work will be instrumental in developing our personalisation engine and fine tuning state of the art open source LLMs like LLaMa, Mistral, and DeepSeek. Your research will translate directly into creating specialised LLMs that provide empathetic, life saving support to our members.</p> <p>We're looking for someone who thrives on technical challenges and wants to see their expertise translate into a positive, tangible impact.</p> <b>Key Responsibilities</b> <ul> <li>Research, fine tune, and optimise open source LLMs using techniques such as PEFT, LoRA, and QLoRA to build our proprietary AI models.</li> <li>Contribute to the design and implementation of our personalisation and recommendation engines to deliver tailored, proactive support.</li> <li>Develop and maintain robust machine learning pipelines for model training, evaluation, and deployment.</li> <li>Collaborate closely with cross functional teams, including product managers, software engineers, and mental health professionals, to translate research into effective product features.</li> <li>Stay current with the latest advancements in AI and LLM research, and apply new techniques to improve our systems.</li> <li>Publish and/or present research findings at conferences or in academic journals where appropriate, contributing to the broader AI community.</li> </ul> <b>Key Qualifications</b> <ul> <li>A recently completed <b>PhD</b> or <b>Postdoctoral experience</b> in Machine Learning, AI, Computer Science, or a closely related quantitative field.</li> <li>Deep theoretical and practical understanding of Transformer architectures, attention mechanisms, and training dynamics.</li> <li>Hands on experience fine tuning open source LLMs (e.g., LLaMa, Mistral, DeepSeek).</li> <li>Strong computer science fundamentals and coding proficiency in Python.</li> <li>Solid experience with deep learning frameworks such as PyTorch or TensorFlow.</li> <li>A profound passion for applying AI to high impact, meaningful domains such as mental health and well being.</li> </ul> <p><b>Candidates with primary experience limited to building Retrieval Augmented Generation (RAG) systems or MLOps tooling are not a suitable fit for this specific role.</b></p> <b>Nice to Have</b> <ul> <li>Experience with <b>distributed training</b> techniques for large models.</li> <li>Familiarity with cloud based machine learning stacks (e.g., <b>AWS, GCP</b>).</li> <li>A track record of <b>peer reviewed publications</b> in top tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, AAAI, ACL).</li> </ul> <b>Eligibility</b> <ul> <li>The right to work full time in Australia</li> <li>Located within commuting distance to our Sydney office at the time of commencement.</li> </ul> <b>Impact & Growth</b> <p>Your work at Sonder will go beyond just optimising models; it will directly contribute to saving lives and improving mental well being on a global scale. This role offers the opportunity to shape our core AI technology from the ground up while growing as a leader in a supportive, mission driven environment. You will have the freedom to explore new research ideas and the resources to see them through to deployment, making a tangible difference in the world.</p> <b>Why Join Sonder?</b> <p>At Sonder, we thrive in a fast paced, high performance environment with a strong commitment to our people. Our team is a collaborative, vibrant group of passionate professionals, dedicated to making a real impact on people's lives every day.</p> <ul> <li>Hybrid and flexible working environment. Enjoy the perfect balance of in office collaboration and work from home flexibility, empowering you to optimise your productivity and work life balance.</li> <li>Gain free access to the Sonder app for you and your family, offering 24/7 on demand support for health, wellbeing, and safety.</li> <li>$1000 annual contribution as part of your development plan + 2 days of study leave</li> <li>Paid parental leave with an attractive return to work policy, 12 weeks for Primary Carers and 4 weeks for Secondary Carers, plus our Primary Carers return to work at 80% for the first 3 months at full pay.</li> <li>Participate in our Employee Share Option Plan (ESOP) for you to be a part of Sonder's success.</li> <li>Salary Packaging and novated leasing</li> <li>Access $250 annually to fund to invest in your wellbeing, empowering you to choose the support that best fits your needs.</li> <li>Free coffee on Tuesdays and catered lunch on Thursdays.</li> <li>Team social fund to connect with your team, plus monthly company wide social events.</li> <li>Dog friendly office.</li> <li>Volunteer leave. 2 days per year to participate in meaningful causes and contribute back to the community.</li> </ul> <p>Check out our life page for more info - </p> <b>Sonder is for Everyone</b> <p>We're committed to building a diverse and inclusive workplace. We encourage applications from people of all backgrounds, experiences, abilities and identities. If you need any support with your application or the recruitment process, please reach out - we'd love to hear from you.</p> <p>Due to the nature of our industry, all Sonder employees are required to complete a National Police Check and Working With Children Check.</p>

Applied Machine Learning Scientist/Engineer - LLMs (Recent PhD Grad)

Microsoft

<div><b>Overview</b><p></p><div><p><br>
What if your job description were simply &ldquo;make tomorrow better?&rdquo; Every day at Microsoft, we bring an insatiable curiosity to the workplace, challenging ourselves to reimagine what it is and what it can be. We build on what&rsquo;s come before to create what&rsquo;s next. We help shape the future and we empower billions of people around the globe.</p></div><p></p><div><p><br>
We are the computational advertising team in the AI &amp; Research organization at Microsoft. We are looking for candidates with research and applied experience in machine learning related areas. Search advertising is a $100 billion market worldwide. Microsoft's Bing search engine supports over 30% of desktop search in the US, with similarly significant presence in many other countries.</p></div><p></p><b><br>
Responsibilities</b><p><br>
We are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to machine learning, deep learning, natural language processing, multi-arm bandit, optimization, information retrieval, auction theory, among others. Our work entails building large-scale machine learning systems for ad matching, filtration, ranking, and multi objective optimization, and several other ML-driven business problems. You will design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets. You will collaborate with top machine learning scientists and engineers in delivering direct business impact. We're looking for sound understanding and insight into productionizing machine learning models in large-scale systems, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting algorithms in production.</p><b><br>
Qualifications</b><div><div><ul><li><p><br>
MS/BS in CS/EE, mathematical or machine learning related disciplines, with 5 or more years of experience
</p></li></ul></div><div><ul><li><p>Solid understanding of probability, statistics, machine learning, data science
</p></li></ul></div><div><ul><li><p>A/B testing &amp; analysis of ML models, and optimizing models for accuracy</p></li></ul></div><div><ul><li><p>
Experience with Hadoop, Spark, or other distributed computing systems for large-scale training &amp; prediction with ML models.</p></li></ul></div><div><ul><li><p>
End-to-end system design: data analysis, feature engineering, technique selection &amp; implementation, debugging, and maintenance in production.</p></li></ul></div><div><ul><li><p>
Experience implementing machine learning algorithms or research papers from scratch</p></li></ul></div><div><ul><li><p>
Experience with TensorFlow/PyTorch and deep learning models is a plus</p></li></ul></div></div><br>
<p></p>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Senior Applied Scientist

King Abdullah University of Science and Technology

179324
<br><div></div><div><div><div><div><div><div><div><div><div><div>King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division (postdoc): Energy Resources and Petroleum Engineering (Postdoc)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>King Abdullah University of Science and Technology (KAUST)
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Dec 18, 2025
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>The design of industrial membrane separation materials requires advanced computation methods, such as computational fluid dynamics and computational chemistry, to design, analyze, and predict the properties and performance of these materials. This area also requires experimental studies by providing insights from molecular levels to continuous pore scale level. The modeling of porous membrane usually requires computationally expensive modeling approaches such as molecular dynamics simulations (MD), computational fluid dynamics (CFD) to understand how porous structures and operating conditions can impact membrane performance. Therefore, this objective of this research is develop efficient algorithms and models based on deep learning to accelerate the physics simulation for membrane relevant processes, which can be based on physics-informed neural network, data-driven models, and hybrid simulation models. These developed models can ultimately be deployed for industrial applications of membrane design and manufacturing processes.</p>
<p>
The successful candidate will be based at Inorganic Membranes Research Group at KAUST, under the leadership of Professor Zhiping Lai, and will collaborate closely with Professor Bicheng Yan (KAUST).</p>
<p><b>
Benefits:</b></p>
<p>
Applications are sought for a one-year postdoc position (extendable). The position will include a competitive salary based on the candidate&rsquo;s qualifications; benefits include medical and dental insurance, free furnished housing on the KAUST campus, annual travel allowance to visit home country, annual paid vacation, and other generous benefits.</p></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><p><b>Education:</b></p>
<p>
A Ph.D. degree in computational mathematics, computational mechanics, computational chemistry, machine/deep learning or closely related fields. The candidate must have completed all Ph.D. requirements by commencement of the appointment and be within 5 years of completion of the Ph.D.</p>
<p><b>
Minimum Job Requirements:</b></p>
<p>
(1) Experience in computational mechanics, computational chemistry for membrane materials</p>
<p>
(2) Experience with code development</p>
<p>
(3) Publications in refereed journals and record of successful research in a collaborative team environments</p>
<p><b>
Desired Qualification:</b></p>
<p>
(1) Experience with Python, Julia</p>
<p>
(2) Experience in scientific machine learning, deep learning and computer vision</p>
<p>
(3) Experience in developing physics simulation models with FEniCS, COMSOL, Ansys</p></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
</b></h3><div><div><p><b>How to Apply?</b></p>
<p>
Please send the following documents as a package and directly email to Prof. Zhiping Lai by zhiping.lai@kaust.edu.sa and Prof. Bicheng Yan by bicheng.yan@kaust.edu.sa with email title: PorousMaterial_Postdoc_Applicant_FirstName_LastName,</p>
<div>
1. CV;</div>
<div>
2. Cover letter highlighting your research experience and justification to fit this position;</div>
<div>
3. List of publications;</div>
<div>
4. Copy of your official Ph.D. degree;</div>
<div>
5. Three contacts of reference;</div>
<p>
6. Indication of your earliest available date.</p></div>
</div>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div></div></div></div></div><p></p>

Scientific Machine Learning to Simulate Complex Physics Processes in Porous Materials

NK Securities

Gurugram
<br><br>
Why This Role Exists
<br><br>
NK Securities is building a research-driven trading platform where models, not opinions, drive decisions. We are hiring PhD-level researchers to work on pricing models, market microstructure, and machine-learning-driven alpha that directly impact live trading systems.
<br><br>
This is not a sandbox role. Your work will move capital, trade markets, and be evaluated in production.
<br><br>
<b>If you enjoy:</b><br>
Turning theory into models that survive noisy, non-stationary data
<br>Seeing your research deployed and stress-tested in real markets
<br>Working end-to-end—from idea to impact
<br><br>
,this role is designed for you.
<br><br>
What You’ll Work On
<br><br>
You will operate as a research owner, not a support function.
<br><br>
Research & Modeling
<br><br>
Design pricing and fair-value models at short horizons
<br>Model order-book dynamics, liquidity, impact, and micro-price behavior
<br>Research alpha signals using statistical learning and ML/AI methods
<br>Develop models robust to regime shifts, feedback loops, and adversarial noise
<br><br>
Machine Learning & AI
<br><br>
Apply machine learning and modern AI techniques to high-frequency market data
<br>Explore deep learning, representation learning, and sequence models where justified
<br>Balance interpretability, robustness, and predictive power
<br>Build models that generalize—not just optimize backtests
<br><br>
From Research to Production
<br><br>
Run large-scale experiments and rigorous backtesting
<br>Define validation criteria, failure modes, and monitoring metrics
<br>Partner with engineers and traders to deploy models into live systems
<br>Continuously iterate based on real performance feedback
<br><br>
Model Classes You’ll Encounter
<br><br>
You don’t need to know everything—but you should be excited to learn and extend:
<br><br>
Pricing & Microstructure
<br><br>
Fair-value and micro-price models
<br>Order-flow and liquidity models
<br>Spread, impact, and short-horizon price dynamics
<br><br>
Statistical Models
<br><br>
Time-series and state-space models
<br>Volatility and correlation structures
<br>Signal decay and stability modeling
<br><br>
ML / AI Models
<br><br>
Feature-based ML for alpha discovery
<br>Representation learning for structured market data
<br>Deep learning models used selectively and critically
<br><br>
Who We’re Looking For
<br><br>
Education
<br><br>
PhD (completed or near completion) in Mathematics, Statistics, Computer Science, Physics, Electrical Engineering, Operations Research, or related fields
<br>Strong research pedigree and demonstrated ability to solve open-ended problems
<br><br>
Research Strength
<br><br>
Deep understanding of probability, statistics, and linear algebra
<br>Ability to translate abstract ideas into testable, empirical models
<br>Comfort reasoning under uncertainty and imperfect data
<br>Evidence of original thinking (papers, thesis work, significant projects)
<br><br>
Technical Skills
<br><br>
Strong Python for research and experimentation
<br>Experience with ML / AI frameworks (e.g., PyTorch, TensorFlow)
<br>Comfort working with large datasets and computational experiments
<br>Exposure to C++ or performance-oriented systems is a plus, not a requirement

PhD Quant Researcher

GenBio AI

<div>
 Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
 <br/>
 <br/>
 We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&amp;D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
 <br/>
 <br/>
 <strong>
  Job Description:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
  </li>
  <li>
   You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
  </li>
  <li>
   Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualification:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
  </li>
  <li>
   Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications
  </li>
  <li>
   Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra)
  </li>
  <li>
   Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
  </li>
  <li>
   Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment)
  </li>
  <li>
   Familiarity with software engineering best practices (version control, documentation, etc)
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3 year PhD student and above
  </li>
  <li>
   Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
  </li>
  <li>
   Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research)
  </li>
  <li>
   Hands-on experience working at the intersection of AI and Biology
  </li>
  <li>
   Experience in large-scale distributed training and inference
  </li>
  <li>
   Open-source contributions, especially if used by others
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 <br/>
 <br/>
 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Research Scientist Intern

White Mastery Systems

<ul><li><b>Data &amp; Tech:</b> Data Scientist, AI/Machine Learning Specialist, Software Developer, Data Analyst, Python Developer.</li><li><b>Research &amp; Development:</b> Research Scientist, Biochemist, Junior Research Fellow, Lab Technician, Biotech Researcher, Pharmacovigilance Associate.</li><li><b>Healthcare:</b> Assistant Dietician, Radiographer, Clinical Research Associate, roles in Pharmacy.</li><li><b>Education &amp; Academia:</b> University Lecturer, Professor, PGT Teacher (with B.Ed.).</li><li><b>Engineering:</b> Electrical Engineer, Automation Tester, roles in Water Quality.</li><li><b>Government &amp; Other Sectors:</b> Roles in ISRO, Ministry of Defense, Finance, Environmental Agencies, and</li></ul><p>Job Types: Full-time, Permanent, Fresher</p><p>Pay: ₹18,086.00 - ₹52,273.64 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

M.Sc freshers

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