machine learning scientist

SPOTTER

<div><div>Overview

Spotter empowers the world's best Creators with capital, data, and insights to scale their programming into sustainable media businesses. Through these partnerships, Spotter helps brands partner with creator-led franchises to unlock growth, amplify impact, and build lasting cultural relevance.

Spotter has already deployed over $980 million to Creators to reinvest in themselves and accelerate their growth, with plans to reach $1 billion in investment in 2026. With a premium catalog that spans over 725,000 videos, Spotter generates more than 88 billion monthly watch-time minutes, delivering a unique scaled media solution to Advertisers and Ad Agencies that is transparent, efficient, and 100% brand safe. For more information about Spotter, please visit https://spotter.com.</div><div>
Overview

We&rsquo;re looking for a talented and intensely curious Machine Learning Scientist with deep expertise in building and deploying production machine learning models, particularly in areas such as deep learning, reinforcement learning, contextual bandits, ranking, personalization, recommendation systems, and adaptive learning systems. You thrive in a fast-paced startup environment and are motivated by building models that don&rsquo;t just perform well in experiments, they ship to production and create real value for YouTube creators.

In this role, you&rsquo;ll train, evaluate, optimize, and deploy a wide range of machine learning models, from neural networks and ranking systems to contextual bandits, recommendation models, sequential decision-making systems, and traditional machine learning approaches. You&rsquo;re passionate about staying at the forefront of AI and machine learning, especially in areas where models learn from feedback, adapt over time, and improve real-world product outcomes.

We&rsquo;re a team of builders who value continuous learning, rapid experimentation, and delivering AI solutions that make a measurable difference for creators. If you enjoy solving complex problems, iterating quickly, and building intelligent products that help the world&rsquo;s top YouTube creators work smarter and create better content, you&rsquo;ll thrive at Spotter.

What You&rsquo;ll Do

You&rsquo;ll develop machine learning models that move beyond experimentation and into production, where they directly improve creator workflows and product experiences. Working alongside Analytics, Product, and Engineering, you&rsquo;ll help develop intelligent systems that improve how creators discover insights, make decisions, and create content.

Your work may include:
<ul>
<li>Designing, training, evaluating, optimizing, and deploying production machine learning models.</li>
<li>Building recommendation, ranking, and personalization systems that adapt to creator behavior, product feedback, and changing objectives.</li>
<li>Applying reinforcement learning, contextual bandits, online learning, and other adaptive learning approaches where they improve product outcomes.</li>
<li>Designing systems that balance exploration and exploitation, short-term performance and long-term value, and multiple competing product objectives.</li>
<li>Developing reward models, feedback models, and objective functions that translate noisy, sparse, delayed, or implicit signals into reliable model training and evaluation targets.</li>
<li>Working with logged interaction data to understand user behavior, evaluate model performance, improve decision quality, and reduce bias in model evaluation.</li>
<li>Applying offline policy evaluation, counterfactual evaluation, causal inference, or related techniques to reason about model changes before and after deployment.</li>
<li>Designing experiments to evaluate model performance, measure product impact, and continuously improve production systems.</li>
<li>Building scalable model training, evaluation, deployment, and inference pipelines.</li>
<li>Optimizing models for accuracy, latency, scalability, reliability, and production maintainability.</li>
<li>Working with structured and unstructured datasets using Python and SQL.</li>
<li>Collaborating closely with Product and Engineering to translate customer problems into machine learning solutions.</li>
<li>Staying current with advances in reinforcement learning, recommendation systems, ranking, personalization, deep learning, experimentation, and production ML, and thoughtfully applying new techniques where they create measurable value.</li>
</ul>
Who You Are
<ul>
<li>Master&rsquo;s degree or PhD in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or another quantitative field.</li>
<li>5+ years building, evaluating, and deploying machine learning models in production environments.</li>
<li>Strong experience with modern deep learning frameworks and production ML workflows.</li>
<li>Experience building one or more of the following:</li>
<li><ul><li>recommendation systems</li>
<li>ranking systems</li>
<li>personalization models</li>
<li>reinforcement learning systems</li>
<li>contextual bandits</li>
<li>online learning systems</li>
<li>adaptive decision-making systems</li>
</ul></li><li>Strong understanding of reinforcement learning concepts such as exploration vs. exploitation, reward design, policy evaluation, delayed feedback, feedback loops, and sequential decision-making.</li>
<li>Experience working with logged interaction data, behavioral data, or feedback signals to train, evaluate, and improve models.</li>
<li>Experience designing experiments and using data to improve model performance in real-world product environments.</li>
<li>Experience with offline evaluation, A/B testing, counterfactual reasoning, causal inference, or other methods for measuring model impact.</li>
<li>Experience training, evaluating, tuning, and deploying machine learning models across deep learning and traditional ML approaches.</li>
<li>Strong understanding of embeddings, representation learning, neural networks, sequence modeling, and modern deep learning architectures.</li>
<li>Strong Python and SQL skills.</li>
<li>Excellent communication skills and the ability to work cross-functionally with Product, Engineering, Analytics, and other stakeholders.</li>
<li>Curiosity, ownership, and a passion for building products that customers love.</li>
</ul>
Nice to Have
<ul>
<li>Experience with large-scale recommendation, ranking, personalization, or adaptive optimization systems.</li>
<li>Familiarity with ad recommendation, ad ranking, or campaign optimization systems used by large-scale platforms, such as YouTube, Google, Meta, TikTok, Amazon, or similar consumer marketplace platforms.</li>
<li>Experience serving large-scale ML models in production.</li>
<li>Experience building machine learning systems for large-scale digital platforms, such as creator platforms, consumer apps, recommendation systems, ad recommendation systems, campaign optimization systems, or workflow automation tools.</li>
</ul>
Why Spotter
<ul>
<li>Medical insurance covered up to 100%</li>
<li>Dental &amp; vision insurance</li>
<li>401(k) matching</li>
<li>Stock options</li>
<li>Discretionary PTO</li>
<li>Complimentary gym access</li>
<li>Autonomy and upward mobility</li>
<li>Diverse, equitable, and inclusive culture, where your voice matters.</li>
</ul>
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles that will be performed in Culver City. Actual salaries will vary and may be above or below the range based on various factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current pay range is: $167K-$185K salary per year. The range listed is just one component of Spotter&rsquo;s total compensation package for employees. Other rewards may include an annual discretionary bonus and equity.</div><div>
Spotter is an equal opportunity employer. Spotter does not discriminate in employment on the basis of race, religion, creed, color, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic characteristics or information, marital status, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, use of or request for family or medical leave, political affiliation, or any other status protected under applicable federal, state or local laws.

Equal access to programs, services and employment is available to all persons. Those applicants requiring reasonable accommodations as part of the application and/or interview process should notify a representative of the Human Resources Department.</div></div>

Machine Learning Scientist

Booking.com

<div>
 At Booking.com, data drives our decisions. Technology is at our core and innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we can empower everyone to experience the world.
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Scientist I to join our Travel LLMs and Agentic team in Amsterdam.
 
 
 
 
 About the team:
 
 
 
 The team is at the forefront of Generative AI innovation, driving solutions for travel-related chatbots, text generation and summarization applications, Q&amp;A systems, and free-text search.
 
 
 The team you are applying to is spearheading a research effort to develop leading LLMs, specifically designed for the travel domain and advanced agentic capabilities.
 
 
 This pioneering initiative combines cutting-edge AI research with practical applications, focusing on creating tailored solutions that redefine how travelers plan, book, and experience their journeys.
 
 
 
 Role Description:
 
 
 
 As a Machine Learning Scientist, your work will focus on building, training, and deploying cutting-edge Generative AI models. This includes developing foundation models trained on Booking.com&rsquo;s extensive textual data and creating fine-tuned models designed to tackle complex travel-related tasks. Your leadership will play a pivotal role in advancing the application of AI to transform the travel experience for millions of customers.
 
 
 
 Key Job Responsibilities and Duties:
 
 
 
 <ul>
 <li>
 Explore and apply state-of-the-art techniques in multimodal machine learning.
 </li>
 <li>
 Train innovative ML models (NLP, CV, LLM-finetuning&hellip;), build algorithms, and engineering approaches to drive business impact..
 </li>
 <li>
 Coding skills: ensure implementation of reusable frameworks (clean and scalable code).
 </li>
 <li>
 Conduct data analysis with detailed metrics to evaluate model&rsquo;s performance, labels quality, features exploration.
 </li>
 <li>
 Work closely with machine learning engineers to ensure the model's latency/throughput meets product requirements and ensure deployment of your model to production.
 </li>
 <li>
 Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.
 
 
 
 </li>
 </ul>
 
 Role Qualifications and Requirements:
 
 
 
 <ul>
 <li>
 Advanced knowledge and experience in Computer Vision and Natural Language Processing, engineering aspects of developing ML and Generative AI models at scale.
 </li>
 <li>
 Experience designing and executing end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.
 </li>
 <li>
 Relevant work or academic experience (MSc + 6 years of working experience, or PhD + 4 years of working experience), involved in the application of Machine Learning to business problems.
 </li>
 <li>
 Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).
 </li>
 <li>
 Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
 </li>
 <li>
 Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).
 </li>
 <li>
 Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.
 </li>
 <li>
 Excellent English communication skills, both written and verbal.
 </li>
 <li>
 Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels
 </li>
 <li>
 Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators
 
 
 
 </li>
 </ul>
 
 Benefits &amp; Perks: Global Impact, Personal Relevance
 
 
 
 Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards strive to make it easier for you to experience all that life has to offer on your terms so that you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:
 
 
 <ul>
 <li>
 Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam.
 </li>
 <li>
 Contribute to a high scale, sophisticated, world-class product and see the real time impact of your work on millions of travelers worldwide.
 </li>
 <li>
 Be part of a truly international fast paced environment and performance driven culture.
 </li>
 <li>
 Performance-based company that offers career advancement, and lucrative compensation, including bonuses and stock potential.
 </li>
 <li>
 Discount on Booking.com accommodations with the &ldquo;Booking Deal&rdquo; including other perks and benefits.
 </li>
 <li>
 Company-sponsored family and social activities to help our employees become integrated with each other and the company's culture.
 </li>
 <li>
 Diverse and creative colleagues from every corner of the world.
 </li>
 <li>
 Health, life, and disability insurance*
 </li>
 <li>
 Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.
 </li>
 <li>
 Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).
 </li>
 <li>
 Industry leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit.
 </li>
 <li>
 Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership
 
 
 
 </li>
 </ul>
 
 #ThinkInclusion: Wellbeing &amp; Inclusion at Booking.com:
 
 
 
 Inclusion, Diversity, Belonging, Wellbeing and Volunteering (IDBWV) have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
 
 
 Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just create a unique workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;
 
 
 We will ensure that individuals with disabilities are provided reasonable adjustment to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
 
 
 
 Pre-Employment Screening
 
 
 
 
 If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
 
</div>

Senior Machine Learning Scientist

<div>Role Description:

At Booking.com, data drives our decisions. Technology is at our core and innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we can empower everyone to experience the world. 
We&rsquo;re looking for a Senior Machine Learning Scientist I to join our Travel LLMs and Agentic team in Amsterdam. 
About the team:
The team is at the forefront of Generative AI innovation, driving solutions for travel-related chatbots, text generation and summarization applications, Q&amp;A systems, and free-text search.
The team you are applying to is spearheading a research effort to develop leading LLMs, specifically designed for the travel domain and advanced agentic capabilities.
This pioneering initiative combines cutting-edge AI research with practical applications, focusing on creating tailored solutions that redefine how travelers plan, book, and experience their journeys. 
Role Description:
As a Machine Learning Scientist, your work will focus on building, training, and deploying cutting-edge Generative AI models. This includes developing foundation models trained on Booking.com&rsquo;s extensive textual data and creating fine-tuned models designed to tackle complex travel-related tasks. Your leadership will play a pivotal role in advancing the application of AI to transform the travel experience for millions of customers. 
Key Job Responsibilities and Duties:<ul><li> 
Explore and apply state-of-the-art techniques in multimodal machine learning.</li><li>
Train innovative ML models (NLP, CV, LLM-finetuning&hellip;), build algorithms, and engineering approaches to drive business impact..</li><li>
Coding skills: ensure implementation of reusable frameworks (clean and scalable code).</li><li>
Conduct data analysis with detailed metrics to evaluate model&rsquo;s performance, labels quality, features exploration.</li><li>
Work closely with machine learning engineers to ensure the model's latency/throughput meets product requirements and ensure deployment of your model to production.</li><li>
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.</li></ul>
Role Qualifications and Requirements:<ul><li>
Advanced knowledge and experience in Computer Vision and Natural Language Processing, engineering aspects of developing ML and Generative AI models at scale.</li><li>
Experience designing and executing end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.</li><li>
Relevant work or academic experience (MSc + 6 years of working experience, or PhD + 4 years of working experience), involved in the application of Machine Learning to business problems.</li><li>
Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).</li><li>
Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.</li><li>
Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).</li><li>
Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.</li><li>
Excellent English communication skills, both written and verbal.</li><li>
Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels</li><li>
Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators</li></ul> 
Benefits &amp; Perks: Global Impact, Personal Relevance
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards strive to make it easier for you to experience all that life has to offer on your terms so that you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:<ul><li>
Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam.</li><li>
Contribute to a high scale, sophisticated, world-class product and see the real time impact of your work on millions of travelers worldwide.</li><li>
Be part of a truly international fast paced environment and performance driven culture.</li><li>
Performance-based company that offers career advancement, and lucrative compensation, including bonuses and stock potential.</li><li>
Discount on Booking.com accommodations with the &ldquo;Booking Deal&rdquo; including other perks and benefits.</li><li>
Company-sponsored family and social activities to help our employees become integrated with each other and the company's culture.</li><li>
Diverse and creative colleagues from every corner of the world.</li><li>
Health, life, and disability insurance*</li><li>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.</li><li>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).</li><li>
Industry leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit.</li><li>
Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership</li></ul>
#ThinkInclusion: Wellbeing &amp; Inclusion at Booking.com:
Inclusion, Diversity, Belonging, Wellbeing and Volunteering (IDBWV) have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just create a unique workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;
We will ensure that individuals with disabilities are provided reasonable adjustment to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.</div>

Roche

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
 
The Position
 
Join the small-molecule team within AI for Drug Discovery (AI4DD), formerly Prescient Design, at Roche and Genentech’s Computational Sciences Center of Excellence as a Machine Learning Scientist / Senior Machine Learning Scientist in Quantum Chemistry. You will combine machine learning methods and quantum chemistry to build fast, accurate models that power small-molecule drug discovery. You will work with world-class computational and experimental scientists and leverage proprietary datasets and state-of-the-art compute.
 
The Opportunity
 
<ul>
<li>Create cutting-edge solutionsthat combine quantum chemistry and machine learning algorithm development to model small-molecule energetics and protein–ligand interactions, from conformation and reactivity to binding affinity and free energy.</li>
<li>Build synthetic datasets using quantum mechanicsand related methods to shape novel research directions in ML.</li>
<li>Develop deployable pipelinesthat are robust, scalable and reproducible, and feed directly into molecular-design tools used across Roche.</li>
<li>Drive scientific impact through publications, open-source releases, and talks at internal and external conferences.</li>
<li>Collaborate widelywith world-class computational and experimental researchers at Roche and with academic partners.</li>
</ul>
Who you are
 
<ul>
<li>You bring deep machine-learning expertise with a strong theoretical foundation in linear algebra, probability and optimization, and you build models from first principles.</li>
<li>You have hands-on quantum chemistry experience and fluency in toolkits such as Psi4, PySCF and ORCA, as well as semi-empirical methods like xTB.</li>
<li>You are fluent in Python and modern ML frameworks such as PyTorch or JAX.</li>
<li>You hold a PhD or equivalent research depth in machine learning, computational chemistry, chemical engineering or a related quantitative field such as physics or statistics.</li>
<li>You have a record of scientific excellence evidenced by journal and conference publications or a public portfolio of relevant projects (e.g. hosted on GitHub/GitLab).</li>
</ul>
Preferred
 
<ul>
<li>Experience in scientific software development, scaling ML training, and applying models to drug discovery.</li>
<li>Experience generating large-scale synthetic datasets.</li>
</ul>
Location& Travel Requirements
 
This position must be based in either Welwyn Garden City in the United Kingdom (preferred) or Basel, Switzerland. Although this can be a hybrid role, there is an expectation of ongoing and sustained site presence, in compliance with local company site requirements.
 
If building physics-grounded machine learning models that bring better medicines to patients faster is your calling, apply now and help shape the future of small-molecule drug discovery.
 
#ComputationCoE
 #tech4lifeComputationalScience
 #tech4lifeAI
 
Where pay transparency applies, details are provided based on the primary posting location. For this role, the primary location is Welwyn. If you are interested in additional locations where the role may be available, we will provide the relevant compensation details later in the hiring process.
 
Who we are
 
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
 
Let’s build a healthier future, together.
 
The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

Machine Learning Scientist - Quantum Chemistry

Flagship Pioneering, Inc.

<div>Position Summary:

We are looking for a Machine Learning Scientist to build AI and machine learning systems that turn complex biological data into actionable scientific insight. You will work at the intersection of ML, genomics, causal biology, and target discovery. The role includes building models, agentic AI workflows, systems that help automate analysis, reasoning, and decision support, and AI assisted tools that help connect genotype, cell state, perturbation, phenotype, and disease mechanism. This is a hands-on role for someone who enjoys writing clear, reliable code, uses modern AI tools to move faster, and wants their work to shape real biological and therapeutic decisions.

Responsibilities:
<ul>
<li>Build ML models for genomic, single-cell, perturbation, and phenotype data.</li>
<li>Develop agentic AI workflows that help scientists analyze data, test hypotheses, and make better decisions.</li>
<li>Use AI coding tools to accelerate development while keeping code reliable, readable, tested, and reproducible.</li>
<li>Train and fine tune foundation models, language models, and representation learning methods for target discovery.</li>
<li>Model relationships between genotype, cell state, perturbation response, causal biology, and disease.</li>
<li>Collaborate closely with computational scientists, experimental biologists, software engineers, and target discovery teams.</li>
<li>Communicate results clearly, including model assumptions, limitations, and next steps.</li>
</ul>
Qualifications:

You do not need to meet every item to apply. Strong candidates may come from academia, industry, open-source work, or hands-on research.
<ul>
<li>PhD, Master's degree, or equivalent experience in machine learning, computer science, computational biology, genomics, bioinformatics, statistics, engineering, or a related field.</li>
<li>Strong Python coding skills and experience building practical Deep Learning ML systems.</li>
<li>Experience using AI coding tools, coding assistants, LLM-based workflows, or agentic development tools.</li>
<li>Experience training, evaluating, or applying ML models to complex real-world data.</li>
<li>Depth in one or more of: biomedical foundation models, agentic AI, Perturb-seq, single-cell genomics, genotype&ndash;phenotype modeling, causal inference, perturbation modeling, or large-scale biological datasets.</li>
<li>Evidence of technical depth through papers, thesis work, open-source projects, industry projects, or substantial hands-on applied research.</li>
</ul>
Values and Behaviors:
<ul>
<li>Encourage respectful disagreement and cultivate open-minded, ego-free interactions to continuously push each other towards excellence</li>
<li>Seek out diverse perspectives; practice active listening and genuine curiosity to ensure all contributions are valued, regardless of source</li>
<li>Recognize the impact of your behavior, language and attitudes, and strive for balanced, meaningful exchanges that enhance mutual growth and understanding in all interactions</li>
<li>Use a company-first mindset to guide decision-making; prioritize team over individual success</li>
<li>Take calculated risks and challenge convention in the quest for exceptional outcomes</li>
</ul>
About Quotient:

Quotient Therapeutics is a privately-held, early stage company developing breakthrough medicines informed by natural somatic genetic diversity present in patients. Through our work in somatic genomics, we are forging a new status quo for biopharma research and development across a broad pipeline of internal and partnered programs.

The company was founded by Flagship Pioneering, an innovative enterprise that conceives, creates, resources, and grows first-in-category life sciences companies. Flagship Pioneering has created over 100 groundbreaking companies over the past twenty years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna (MRNA), Generate Biomedicines, Sana Biotechnology (SANA), Tessera Therapeutics, Evelo Biosciences (EVLO), Indigo Agriculture, Seres Therapeutics (MCRB), and Syros Pharmaceuticals (SYRS).

Quotient Therapeutics and Flagship Pioneering 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.

Recruitment &amp; Staffing Agencies:

Quotient Therapeutics (&quot;Quotient&quot;) and Flagship Pioneering (&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 Quotient, FSP or their 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.<div> 

Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.</div></div>

Expedia Group

<div>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.
Why Join Us?
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.
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.
Introduction to the team
The Unified Personalization Service team is part of Expedia Product &amp; Technology. UPS is building Expedia Group's centralized, real-time personalization engine across brands and channels, powering ranking, recommendations, retrieval, and other adaptive experiences that help travelers see more relevant, contextual, and useful experiences throughout their journey.
We are looking for a Machine Learning Scientist III to help build production ML systems for personalization, with emphasis on deep learning, neural recommender systems, sequential and session-based modeling, embeddings, scalable experimentation, and reliable model deployment.
This is a hands-on applied science and engineering role for someone who can contribute across model development, experimentation, data pipelines, deployment, and production model quality.
In this role, you will
<ul><li>Develop, apply, and advance machine learning solutions for personalization use cases, translating business and customer problems into scalable scientific approaches and production-ready models.
</li><li>Design experiments, evaluate model performance, and use data-driven methods to improve relevance, ranking, recommendation, and overall customer experience across personalization systems.
</li><li>Partner across engineering, product, analytics, and science teams to define solution approaches, influence technical direction, and deliver ML capabilities that can operate across multiple products and domains.
</li><li>Contribute technical depth in model development, feature design, data preparation, offline and online evaluation, and the operationalization of machine learning solutions in production environments.
</li><li>Apply strong technical judgment to system design, API design, data modeling, and low-level solution design that support robust, maintainable, and extensible ML-powered services.
</li><li>Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.
</li></ul>Minimum Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science, Machine Learning, Statistics, Mathematics, a related technical field, or equivalent professional experience.
</li><li>5+ years of relevant experience in machine learning, applied science, data science, or software development, including delivering production-grade ML solutions.
</li><li>Demonstrated ownership of machine learning solutions within a service, multi-service, or domain-level scope, with accountability for model quality, experimentation, and operational performance.
</li><li>Strong foundation in machine learning methods, statistical analysis, experimentation, feature engineering, and working with large-scale datasets in production environments.
</li><li>Proficiency in software engineering practices for scientific systems, including coding, low-level design, API design, data modeling, and collaboration with engineering teams to productionize solutions.
</li></ul>Preferred Qualifications
<ul><li>Advanced degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related technical field.
</li><li>Experience building and scaling personalization, recommendation, ranking, retrieval, or relevance models in large, complex consumer-facing environments.
</li><li>Experience with neural recommendation systems, sequential or session-based recommendation, transformer-based recommenders, semantic retrieval, or representation learning at scale.
</li><li>Experience with foundation models, LLMs, embedding models, semantic IDs, hybrid LLM-recommender systems, or retrieval-augmented personalization workflows.
</li><li>Demonstrated ability to use data, metrics, and experimentation to guide prioritization and decision-making while balancing scientific rigor, product impact, and platform scalability.
</li><li>Experience with production ML workflows such as model serving, experimentation frameworks, feature or data pipelines, monitoring, model lifecycle management, or MLOps
</li></ul>The total cash range for this position in San Jose is $149,000.00 to $208,500.00. Employees in this role have the potential to increase their pay up to $238,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent ( IATAN ) membership. View our full list of benefits .
Accommodation requests
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 .
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.
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
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 .
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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Machine Learning Scientist III - Personalization

Latent Labs

<div>
 The Opportunity
 
 
 We are looking for a highly skilled machine learning researcher with significant experience in generative modeling. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role you will architect novel generative models with the goal of designing new proteins that are functional in wet lab assays.
 
 
 
 Who You Are
 
 
 
 <ul>
 <li>
 You are a strong ML researcher with experience in generative modeling. You have led or worked on notable machine learning projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues. You have a proven track record of deep expertise in generative modeling.
 </li>
 <li>
 You are a skillful ML developer. You write ML code that is robust, tested and easy to maintain. You have experience using version control and code review systems. You are a fast prototyper and hacker who can also write beautiful production code. You have experience running training and inference on cloud hardware, parallelizing data and models across accelerators.
 </li>
 <li>
 You are a data engineer. You have experience building ML data pipelines for the training and evaluation of deep learning models. You are able to analyze the raw data, construct appropriate dataset splits and build pipelines that perform and scale.
 </li>
 <li>
 You are passionate about model performance. You have an intricate understanding of how ML libraries interplay with hardware and data and love to optimize deep learning models for training / inference speed. You have a deep knowledge of best principles and tricks in architecting deep learning models and use it to optimize how they perform on validation metrics.
 </li>
 <li>
 You are mission driven and curious. You are passionate about making a positive impact on the world, whether it's for patients, customers or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are curious about problems, however small or big they appear. You thrive in a dynamic environment. You work well in a fast-paced setting where goals must be achieved efficiently and urgently.
 
 
 </li>
 </ul>
 
 What Sets You Apart
 
 
 
 <ul>
 <li>
 You have experience in computational biology or protein design. You have worked on ML-driven projects in biology.
 </li>
 <li>
 You have a natural science background. You are academically trained in physics, biology, chemistry or other related fields.
 
 
 </li>
 </ul>
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Build machine learning models that work in the physical world [~90% of your time]:
 </li>
 <ul>
 <li>
 Contribute to a careful curation of our training and evaluation data.
 </li>
 <li>
 Propose and build ML evaluation metrics that align with real world success and company goals.
 </li>
 <li>
 Quickly prototype generative models against our lead metrics and perform deep analyses of improvements.
 </li>
 <li>
 Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.
 </li>
 <li>
 Contribute to the maintenance of our compute and ML development infrastructure.
 </li>
 <li>
 In collaboration with the bio team, plan wet lab testing campaigns and carry out model inference against biological targets to enable their testing in the wet lab.
 </li>
 <li>
 Quickly learn from wet lab results and feedback data to our models.
 </li>
 </ul>
 <li>
 Self development [~10% of your time]:
 </li>
 <ul>
 <li>
 Stay on top of the latest developments in ML.
 </li>
 <li>
 Gain a strong working understanding of protein and cell biology.
 </li>
 <li>
 Participate in knowledge sharing, e.g. organize and present at our internal reading group.
 </li>
 <li>
 Attend and present at conferences.
 
 </li>
 </ul>
 </ul>
 
 Apply
 
 
 
 We offer strongly competitive compensation and benefits packages, including:
 
 
 <ul>
 <li>
 Private health insurance
 </li>
 <li>
 Pension/401(K) contributions
 </li>
 <li>
 Generous leave policies (including gender neutral parental leave)
 </li>
 <li>
 Hybrid working
 </li>
 <li>
 Travel opportunities and more
 
 
 </li>
 </ul>
 We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.
 
 
 We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
 
 
</div>

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