machine learning scientist

Expedia Group

<div><p>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.</p><p></p><p><b>
Why Join Us?</b></p><p>
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.</p><p></p><p>
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.</p><p></p><p><b>
Machine Learning Scientist III (Bangalore)</b></p><p></p><p><b>
Introduction to team</b></p><p></p><p>
The Traveler Business Team builds and drives growth for our global consumer businesses&mdash;Expedia, Hotels.com, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&amp;L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard.</p><p></p><p>
Are you passionate about using Machine Learning (ML) and Natural Language Processing techniques to enhance the Traveler Experience? Our Marketing Content Machine Learning Science team focuses on generating and optimizing content that delivers relevant, personalized experiences to travelers and drives value for our business.</p><p></p><p>
If you're ready for your next challenge and want to innovate in a forward-thinking and cutting-edge team, we want to speak with you!</p><p></p><p>
We are looking for a self-motivated and independent individual who will have end to end ownership over driving impact to Expedia&rsquo;s largest Marketing channels. With ample access to the latest technology this could be an exciting position for someone who loves to explore and deeply understand applications of machine learning!</p><p></p><p><b>
In this role, you will:</b></p><p></p><p>
Develop and implement advanced machine learning models (including Large Language Models) and statistical algorithms, processing massive datasets to build scalable prototypes.</p><p>
Explore new content opportunities in text and image domains to create personalized traveler experiences with high business impact.</p><p>
Design and run experiments (A/B testing, multi-variate, factorial design, stratified sampling) to measure the effectiveness of campaigns and new initiatives.</p><p>
Collaborate with cross-functional teams, including Machine Learning Science, Marketing, and Engineering, and present findings to executives and stakeholders to drive strategic decisions.</p><p>
Contribute to the success of Expedia's ML community by mentoring team members, fostering a collaborative culture, and sharing best practices with other ML teams.</p><p></p><p><b>
Experience and Qualifications:</b></p><p></p><p>
Master&rsquo;s Degree or PhD preferred in a related field, or equivalent related professional experience</p><p>
Proficient in one or more data science programming languages (Python, Java, R).</p><p>
Strong expertise in ML techniques such as Bayesian Methods, Clustering, Decision Trees, Latent Dirichlet Allocation, NER, Random Forests, and more.</p><p>
Proven experience applying NLP techniques and LLMs in production to solve business problems and generate significant value.</p><p>
Accustomed to collaborative, fun work environments.</p><p></p><p><b>
Accommodation requests</b></p><p>
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.</p><p></p><p>
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.</p><p></p><p>
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50</p><p></p><p>
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.</p><p></p>
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.</div>

Machine Learning Scientist

Property Finder

<div>
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 <br/>
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 <br/>
 <strong>
  Position Summary:
  <br/>
 </strong>
 We are looking for a highly experienced
 <strong>
  Machine Learning/Data Scientist
 </strong>
 with foundational skills in
 <strong>
  Machine Learning Engineering, and Generative AI
 </strong>
 to join our innovative AI &amp; Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.
 <br/>
 This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
  </li>
  <li>
   Drive applied innovation in Large Language Models (LLMs), Generative AI, and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
  </li>
  <li>
   Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
  </li>
  <li>
   Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
  </li>
  <li>
   Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
  </li>
  <li>
   Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
  </li>
  <li>
   Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
  </li>
  <li>
   Continuously optimize model performance for scalability, efficiency, and real-world reliability.
  </li>
  <li>
   Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
   <br/>
  </li>
 </ul>
 <strong>
  Cross-Team Collaboration
 </strong>
 :
 <br/>
 <ul>
  <li>
   Partner with the Data Platform and Engineering team to optimize model deployment and operational workflows.
  </li>
  <li>
   Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.
   <br/>
  </li>
 </ul>
 <strong>
  Desired Qualifications:
  <br/>
 </strong>
 <li>
  Education: Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
  Experience: At least 4+ years in Data Science or MLE roles and foundational MLOps practices.
 </li>
 <li>
  Technical Skills:
 </li>
 <ul>
  <li>
   Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
  </li>
  <li>
   Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
  </li>
  <li>
   Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
  </li>
  <li>
   Experience with API development and connecting AI systems to external platforms.
  </li>
  <li>
   Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.
  </li>
  <li>
   Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.
  </li>
  <li>
   Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
  </li>
  <li>
   Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.
  </li>
  <li>
   Good working knowledge of cloud platforms like AWS, GCP, or Azure.
  </li>
  <li>
   Soft Skills:
  </li>
  <ul>
   <li>
    Effective communication and collaboration skills, particularly in cross-functional environments.
   </li>
   <li>
    Strategic mindset with the ability to translate business goals into data-driven initiatives.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Why Join Us?
  <br/>
 </strong>
 <ul>
  <li>
   Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
  </li>
  <li>
   Collaborate with top talent across diverse teams and disciplines.
  </li>
  <li>
   Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.
   <br/>
  </li>
 </ul>
 <strong>
  Our promise to talent
  <br/>
 </strong>
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 <br/>
 <strong>
  Property Finder Guiding Principles
  <br/>
 </strong>
 <ul>
  <li>
   Think Future First
  </li>
  <li>
   Data Beats Opinions, Speed Beats Perfection
  </li>
  <li>
   Optimise for Impact
  </li>
  <li>
   No Ostriches Allowed
  </li>
  <li>
   Our People, Our Power
  </li>
  <li>
   The Biggest Risk is Taking no Risk at All
   <br/>
  </li>
 </ul>
 <strong>
  Find us at:
  <br/>
 </strong>
 Twitter
 <br/>
 Facebook
 <br/>
 Instagram
 <br/>
 Linkedin
 <br/>
 Glassdoor
</div>


Flagship Pioneering, Inc.

<div><p><b>COMPANY DESCRIPTION</b></p>
<p>
Our start-up is building a novel chemical discovery platform to reshape how we develop formulations at the molecular level. By combining artificial intelligence with a cutting-edge laboratory discovery pipeline, our interdisciplinary team will chart an unexplored chemical landscape, enabling breakthroughs in drug delivery, agrichemical formulation, and safe, high-performance industrial chemicals.</p>
<p>
Our company is backed by Flagship Pioneering, a biotechnology origination company that has founded and developed over 115 scientific ventures over the past 25 years. Flagship Pioneering is dedicated to the development of an ecosystem of first-in-category life sciences companies, resulting in $20+ billion in aggregate value, 500+ issued patents, and more than 50 clinical trials for novel therapeutic agents.</p>
<p><b>
THE ROLE</b></p>
<p>
We are seeking a motivated ML Scientist to lead the predictive pipeline of a lab-in-the-loop platform for novel chemistry. You will define and implement models that reason through the physical rules that govern chemistry to predict the properties of physiochemical interactions at the molecular level. The ideal candidate is eager to take the lead on building a chemistry discovery platform from scratch and be the team's computational visionary.</p><br>
<p></p>
<p><b>
KEY RESPONSIBILITIES</b></p>
<ul>
<li><b>Develop models that predict phase behaviors and physiochemical properties of chemical mixtures</b> across temperature, hydration, and concentration gradients</li>
<li><b>Build a</b> <b>generative &quot;lab-in-the-loop&quot; modeling pipeline</b>, that incorporates human input of the chemical formulation scientist as well as experimental feedback and proposes the next set of experimental samples to be tested in the wet lab</li>
<li>Build on top of <b>next-generation chemistry ML methods</b>, such as <b>chemical LLMs</b>, <b>reaction prediction</b>, and electronic structure methods like <b>DFT
</b></li><li>Own the data flow pipeline, including definition of <b>data standards and processing</b>, <b>data distribution analysis, and visualization </b>to guide the team and inform decision-making processes</li>
</ul>
<p><b>PROFESSIONAL EXPERIENCE &amp; QUALIFICATIONS</b></p>
<ul>
<li>PhD (or equivalent experience) in machine learning, computational chemistry, organic chemistry, chemical engineering, materials science, or related field</li>
<li>Strong experience in building, training, and validating ML models in chemistry, material science, or related domains</li>
<li>Knowledge of fundamentals of chemical properties is essential</li>
<li>Proficiency in Python-based deep-learning frameworks (e.g. torch, pytorch lightning), ML logging software (e.g. MLFLow, WandB), relevant scientific libraries for chemistry (e.g. RDKit), and hyper-parameter optimization (e.g. Optuna)</li>
<li>Ability to set up and maintain python compute environments</li>
<li>Strong code organization and reproducibility work ethics and usage of git-based workflows</li>
<li>Familiarity with cloud/HPC frameworks (e.g. aws, azure), containerization (e.g. docker), and batch compute</li>
<li>Experience handling large, noisy experimental datasets</li>
<li>Strong team player: ability to communicate and work hand-in-hand with chemists, lab scientists, and operational team members</li>
<li>Experience with DFT and molecular dynamics tools preferred</li>
<li>Experience in Bayesian optimization, active learning, reinforcement learning preferred</li>
<li>Prior work on lab-in-the-loop platforms or early-stage teams preferred</li>
<li>Knowledgeable in thermodynamics, statistical mechanics, and hydrogen-bonding interactions; familiarity with phase-diagram analysis preferred</li>
</ul>
<p><b>LOCATION: </b>Cambridge, MA</p>
<p><b>
ABOUT FLAGSHIP PIONEERING:</b></p>
<p>
Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity's most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.
</p><p>Flagship has been recognized twice on FORTUNE's &quot;Change the World&quot; list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company's annual list of the World's Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.</p>
<p>
At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.</p>
<p><b>
We are an equal opportunity employer</b>. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.</p>
<p>
We recognize that great candidates often bring unique strengths <b>without fulfilling every qualification</b>. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background<b> and interest in Flagship.</b></p>
<p><b><i>
Recruitment &amp; Staffing Agencies</i></b><i>: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, &quot;FSP&quot;) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.</i></p>
<p>
#LI-TL1</p>
<div>
The salary range for this role is $132,000 - $209,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. FL118 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL118's good faith estimate as of the date of publication and may be modified in the future.</div></div>

Machine Learning Scientist I/II, Chemistry

Wayfair

<div><div><p><b>Who we are:</b><br>
Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this Wayfair builds and leverages cutting edge Machine Learning and AI products and we are looking for talented individuals to join us. Wayfair&rsquo;s Search, Marketing, and Recommendations ML teams build algorithmic systems that drive our business, enhance customer experience, and improve customer loyalty powering what our customers see on and off our site at web scale. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact.</p>
<p>
We are looking for machine-learning scientists for research and development of the ML systems that power our real-time Search type-ahead, content recommendations, and algorithmic customer understanding experience. In this role, you&rsquo;ll partner with fellow scientists, engineers, analysts, and product managers to apply science and machine learning skills to directly impact Wayfair&rsquo;s revenue.</p>
<p><b>
What you&rsquo;ll do</b></p>
<ul>
<li><p>Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers</p></li>
<li><div>
Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions</div></li>
<li><div>
Collaborate closely with various engineering, infrastructure, and ML platform teams to ensure adoption of best-practices in how we build and deploy scalable ML services</div></li>
<li><div>
Identify new opportunities and insights from the data (where can the models be improved? what is the projected ROI of a proposed modification?)</div></li>
<li><p>
Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on.</p></li></ul><p><b><br>
We Are a Match Because You Have:</b></p>
<ul>
<li><p>Bachelor's or Master&rsquo;s degree in Computer Science, Mathematics, Statistics, or related field.</p></li>
<li><div>
6-9 years of industry experience in developing machine learning algorithms</div></li>
<li><div>
Proficiency in Python or one other high-level programming language</div></li>
<li><div>
Solid hands-on expertise deploying machine learning solutions into production</div></li>
<li><div>
Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, etc.</div></li>
<li><div>
Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity</div></li>
<li><p>
Intellectual curiosity and enthusiastic about continuous learning</p></li>
</ul>
<p><b>Nice to have</b></p>
<ul>
<li><p>Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)</p></li>
<li><div>
Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow)</div></li>
<li><div>
Experience in information retrieval, query/intent understanding, search ranking, recommender systems etc.</div></li>
<li><p>
Experience with deep learning frameworks like PyTorch, Tensorflow, etc.</p></li>
</ul></div><div>
<p><b>Assistance for Individuals with Disabilities</b><br>
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.<br>
<br>
<b>Need Technical Assistance?</b><br>
For more information about applying for a career at wayfair, visit our FAQ page here.<br>
<br>
<b>About Wayfair Inc.</b><br>
Wayfair is one of the world&rsquo;s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we&rsquo;re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you&rsquo;re looking for rapid growth, constant learning, and dynamic challenges, then you&rsquo;ll find that amazing career opportunities are knocking.</p>
<p>
No matter who you are, Wayfair is a place you can call home. We&rsquo;re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair &ndash; and world &ndash; for all. Every voice, every perspective matters. That&rsquo;s why we&rsquo;re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.</p>
<p>
Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.</p></div></div>

Machine Learning Scientist III, Search & Recommendations

<div><div><p><b>Who We Are</b></p>
<p>
Wayfair&rsquo;s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display &amp; Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques.</p>
<p>
The Advertising Optimization &amp; Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions.</p>
<p>
We are looking for an experienced Machine Learning Scientist III to join the Advertising Optimization &amp; Automation Science team. In this role, you will be responsible for the development of budget, tROAS and SKU recommendations and other machine learning capabilities supporting our ads business. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems to directly impact Wayfair&rsquo;s revenue.</p>
<p><b>
What you&rsquo;ll do</b></p>
<ul>
<li><p>Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support recommendations for Ads campaigns and other optimizations.</p></li>
<li><p>
Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that optimize our ads experience.</p></li>
<li><p>
Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped machine learning solutions</p></li>
<li><p>
Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services</p></li>
<li><p>
Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?)</p></li>
<li><p>
Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems.</p></li>
<li><p>
Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on.</p></li>
</ul>
<p><b>What you&rsquo;ll need</b></p>
<ul>
<li><p>Bachelor's or Master&rsquo;s degree in Computer Science, Mathematics, Statistics, or related field.</p></li>
<li><p>
6-9 years of industry experience in advanced machine learning and statistical modeling, including hands-on designing and building production models at scale.</p></li>
<li><p>
Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc.</p></li>
<li><p>
Familiarity with machine learning model development frameworks, machine learning orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL.</p></li>
<li><p>
Proficiency in Python or one other high-level programming language</p></li>
<li><p>
Solid hands-on expertise deploying machine learning solutions into production</p></li>
<li><p>
Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity</p></li>
</ul>
<p><b>Nice to have</b></p>
<ul>
<li><p>Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale (e.g. BigQuery, GCS, Dataproc, AI Notebooks).</p></li>
<li><p>
Experience in computational advertising, bidding algorithms, or search ranking</p></li>
</ul>
<ul><li><p>Experience with deep learning frameworks like PyTorch, Tensorflow, etc.</p></li></ul>
</div><div>
<p><b>Assistance for Individuals with Disabilities</b><br>
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.<br>
<br>
<b>Need Technical Assistance?</b><br>
For more information about applying for a career at wayfair, visit our FAQ page here.<br>
<br>
<b>About Wayfair Inc.</b><br>
Wayfair is one of the world&rsquo;s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we&rsquo;re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you&rsquo;re looking for rapid growth, constant learning, and dynamic challenges, then you&rsquo;ll find that amazing career opportunities are knocking.</p>
<p>
No matter who you are, Wayfair is a place you can call home. We&rsquo;re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair &ndash; and world &ndash; for all. Every voice, every perspective matters. That&rsquo;s why we&rsquo;re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.</p>
<p>
Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.</p></div></div>

Machine Learning Scientist III, Advertising Optimization & Automation Science

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)

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>1. 5+ years of hands on experience as Data scientist 2. Good experience with LLMs 3. Hands on experience of ML/NLP/Deep Learning and Gen AI concepts 4. Good knowledge of Python programming and ML Ops 5. Good understanding of Azure AI foundry services 6. Should have knowledge of GenAI concepts, theories, and models
</p></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Scientist</div>
</div><div><div><b>Job Id</b></div>
<div>376866</div>
</div><div><div><b>Desired Skills</b></div>
<div>Generative AI | Data Science | Machine Learning</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Data science

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