machine learning researcher

TRB 360

<div>
 
 
 Quantitative Researcher
 
 
 
 
 
 
 
 
 
 We are seeking a Quantitative Researcher for our company operating in the oil and gas sector.
 
 
 
 
 
 Location: &Idot;stanbul- Ankara
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are looking for a Quantitative Researcher to join our growing commodities research team.
 
 
 You will work on developing, testing, and implementing data-driven trading and forecasting models using quantitative and machine learning techniques.
 
 
 
 
 
 This role is ideal for someone with a strong analytical mindset, programming skills, and a passion for financial markets &mdash; prior experience in commodities is not required.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Develop and test quantitative models for commodity price forecasting and market analysis.
 </li>
 <li>
 Work with time series and alternative datasets to extract predictive signals.
 </li>
 <li>
 Research and implement machine learning algorithms for forecasting and trading strategies.
 </li>
 <li>
 Collaborate with data engineers and traders to integrate models into production workflows.
 </li>
 <li>
 Continuously monitor model performance and improve robustness and interpretability.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 1&ndash;2 years of experience as a Quantitative Researcher, Data Scientist, or similar analytical role.
 </li>
 <li>
 Strong programming skills in Python (pandas, NumPy, scikit-learn, PyTorch, etc.).
 </li>
 <li>
 Solid understanding of statistics, econometrics, and machine learning.
 </li>
 <li>
 Experience with time series modeling (ARIMA, XGBoost, LSTM, etc.) is a plus.
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail.
 </li>
 <li>
 Good communication skills and ability to work collaboratively in a research-driven environment.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 <li>
 Exposure to financial markets, especially commodities or macro data.
 </li>
 <li>
 Knowledge of quantitative finance concepts (futures, hedging, spreads, volatility, etc.).
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 <ul>
 <li>
 
 Continuous Learning:
 
 A culture of continuous development with opportunities to attend conferences and in-house tech events to stay up-to-date on the latest trends (everyone is encouraged to share knowledge internally and with the community).
 </li>
 <li>
 
 Training Resources:
 
 Free access to online training platforms such as Udemy, Harvard ManageMentor, and GetAbstract for ongoing professional development.
 </li>
 <li>
 
 Allowances:
 
 Monthly meal and internet allowances to support your day-to-day work needs, plus a transportation allowance for commute expenses.
 </li>
 <li>
 
 Home Office Support:
 
 A one-time gift voucher to help you meet your tech needs and set up an ergonomic workspace at home.
 </li>
 <li>
 
 Health Benefits:
 
 Private health insurance coverage for your peace of mind.
 </li>
 <li>
 
 Birthday Leave:
 
 An extra day of leave on your birthday to celebrate your special day.
 </li>
 </ul>
 
 
</div>

Quantitative Researcher (İstanbul- Ankara)

United Arab Emirates University

Job Description
 
The Big Data Analytics Center (BIDAC) at the United Arab Emirates University (UAEU) is seeking an outstanding Postdoctoral Researcher to join its growing team focused on Artificial Intelligence, Natural Language Processing (NLP), and Large Language Model (LLM) research and deployment. The selected candidate will contribute to high-impact research and applied projects aimed at developing domain-specific, efficient, and explainable LLMs tailored to the UAE’s strategic sectors such as education, healthcare, and digital government. Working within one of the UAE’s leading AI research centers, the Postdoc will have access to state-of-the-art computing infrastructure, a multidisciplinary research environment, and collaboration opportunities with national and international partners. This position is ideal for researchers who wish to advance the frontier of AI and NLP and translate research into real-world, deployable systems that drive digital transformation in the region. Key Responsibilities: • Conduct cutting-edge research in machine learning, NLP, and LLM optimization (fine-tuning, distillation, quantization). • Develop and evaluate novel architectures, hybrid AI approaches, and explainable NLP systems. • Design and implement retrieval-augmented generation (RAG) and knowledge graph-enhanced LLM frameworks. • Collaborate with faculty, data engineers, and PhD/MSc students on research projects and publications. • Publish high-quality papers in top-tier journals and conferences (e.g., NeurIPS, KDD, etc.). • Support AI infrastructure setup, including GPU-based servers, data pipelines, and MLOps workflows. • Contribute to grant writing, proposal preparation, and project documentation. • Mentor junior researchers and contribute to training workshops or short courses.
 
Minimum Qualification
 
<ul>
<li>PhD in Computer Science, Artificial Intelligence, Data Science, or a closely related field. • Demonstrated research experience in machine learning, NLP, or deep learning. • Strong publication record in recognized AI/ML/NLP venues. • Proficiency in Python and major ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers). • Solid understanding of transformer architectures, embeddings, and attention mechanisms. • Experience with data preprocessing, model training, and evaluation for text and multimodal datasets.</li>
</ul>
Preferred Qualification
 
<ul>
<li>Prior experience in LLM deployment on-premise or in secure, private environments. • Experience with multilingual NLP, especially Arabic-English or low-resource language modeling. • Proven track record of open-source contributions, patents, or applied AI projects. • Background in knowledge graphs, semantic search, or hybrid symbolic-neural AI. • Experience with cloud or HPC systems for large-scale model training (e.g., NVIDIA DGX, multi-GPU clusters). • Exposure to prompt engineering, RLHF (Reinforcement Learning from Human Feedback), or evaluation of generative AI systems.</li>
</ul>
Close Date Kindly apply before the closing date.
 
31/12/2025

Postdoctoral Fellow

Apple

<div>Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. 
 
Product Engineering International, part of the esteemed Software Engineering Organization, is seeking an accomplished ML Researcher to spearhead the development of cutting-edge generative modeling pipelines for a diverse range of popular international languages. In this pivotal role, you will be at the forefront of natural language processing, designing and implementing end-to-end solutions that will: 
 
<ul><li>Drive Innovation in Generative Modeling: Focus exclusively on building and optimizing generative models for international languages.</li></ul> 
<ul><li>Full-Stack Language Expertise: Own the entire generative modeling pipeline, from data preprocessing and model architecture design to training, evaluation, and deployment.</li></ul> 
<ul><li>Language Diversity: Prioritize working with a variety of popular international languages, ensuring our models are culturally and linguistically adaptable.</li></ul> 
Are you a passionate ML researcher with a deep interest in natural language processing and a talent for building generative models that work seamlessly across languages? Join our team and make a meaningful impact! 
 
Description 
As a key pillar of Apple Intelligence, you bring impact to billions of users with your ML expertise, engineering passion, and programming skills. You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of most advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, free-form text transformation, personalized smart interactions, etc. 
 
Our team specifically focuses on generative technologies for key International markets and ensure that experience is top class for the popular languages in these markets. If you want to amplify your strong ML and NLP skills into user experiences that will reach every person around you, this is the perfect opportunity! 
 
Preferred Qualifications 
Actively exercising machine learning techniques, including implementing basic optimizers and regularizations; formulating and implementing loss functions for given tasks, applying insightful parameter tuning in model training and evaluation, reproducing and revising state-of-the-art research experiments; addressing accuracy and performance bottlenecks in distributed training and inference, and benchmarking different model compressing methods 
Actively programming with high-quality codes across complex and large repositories, including implementing new optimizer or loss functions, algorithm optimizations for critical performance or accuracy, refactoring or redesigning of existing code-base for improved robustness and flexibility, processing large data set efficiently and accurately, establishing automated synthesis/training/evaluation pipeline across multiple sets of internal and external APIs, and applying common object-oriented design patterns 
Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely 
Experience in NLP modeling for Indian languages is desired. 
 
Minimum Qualifications 
4+yrs of machine learning expertise. 
Strong programming using Python/Objective C/Swift. 
Good exposure to Deep Learning libraries like PyTorch and TensorFlow. 
Thorough experience with common NLP algorithms and applications, including tokenization, language modelling, text decoding, text classifier etc.,&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</div>

Machine Learning Research Engineer, Apple Intelligence

black.ai

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. 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. An Exciting Time to Join Sonder! 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. Our impact and scale: <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> If you're passionate about using technology and human expertise to drive meaningful change, join us in shaping the future of workplace wellbeing! Role Summary 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. 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. 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. We're looking for someone who thrives on technical challenges and wants to see their expertise translate into a positive, tangible impact. Key Responsibilities <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> Key Qualifications <ul> <li>A recently completed PhD or Postdoctoral experience 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> Candidates with primary experience limited to building Retrieval Augmented Generation (RAG) systems or MLOps tooling are not a suitable fit for this specific role. Nice to Have <ul> <li>Experience with distributed training techniques for large models.</li> <li>Familiarity with cloud based machine learning stacks (e.g., AWS, GCP).</li> <li>A track record of peer reviewed publications in top tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, AAAI, ACL).</li> </ul> Eligibility <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> Impact & Growth 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. Why Join Sonder? 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. <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> Check out our life page for more info - Sonder is for Everyone 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. Due to the nature of our industry, all Sonder employees are required to complete a National Police Check and Working With Children Check.

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

GE Aerospace

<div><h1 class="jobSectionHeader">Job Description Summary</h1>
We are looking to grow our AI Systems at GE Aerospace Research &amp; are looking for top notch researchers to be part of this exciting journey. As a group, we innovate and execute on the R&amp;D strategy for GE Aerospace on a range of problems from designing inspections solutions for aircraft engines to building predictive/prescriptive analytics for a variety of applications that improve process efficiencies in the business.<h1 class="jobSectionHeader">
Job Description</h1><h2 class="jobSectionHeader">
Company Overview</h2><h2 class="jobSectionHeader"> 

Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!</h2><h2 class="jobSectionHeader"> 
Site Overview</h2><h2 class="jobSectionHeader"> 

Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing.</h2><h2 class="jobSectionHeader">
Job Description</h2>
We are looking for highly motivated people with proven track record to conduct research in natural language processing, artificial intelligence, and machine learning. As a Research Intern, you will be working with scientists in GE Aerospace Research to develop search and recommendation systems to improve the productivity of our Engineering teams. Your responsibilities will include developing and implementing algorithms to process Aerospace domain data for recommendation systems, design experiments, conduct thorough evaluations, and document your work (e.g., publications, invention disclosures). It will also include effectively communicating your findings with the appropriate stakeholders. You will encounter and have an opportunity to tackle unique challenges posed by the data and problems in the Aerospace domain including data quality, highly domain specific vocabulary, and how to integrate NLP/LLM-based solutions into our safety critical and regulated workflows and processes.
Required Qualifications<ul><li>
Enrolled in full-time B.Tech in Computer Science, Electronics, Industrial, Electrical, Mechanical or related Engineering field with specialization in Natural Language Processing, Machine Learning, AI or Statistics.</li><li>
Exposure and working knowledge in areas of Large Language Models, Entity and Relation extraction, Zero / Few-shot Learning.</li><li>
Proficient in implementing algorithms, data pipelines and solutions in Python.</li><li>
Self-starter, ability to work in ambiguous environments, and excellent communication skills.</li></ul><h3 class="jobSectionHeader">
Ideal Candidate:</h3><h3 class="jobSectionHeader">
Should have experience in data analytics, optimization, estimation, or detection algorithms.</h3>
Desired Characteristics<ul><li>
Currently enrolled in a B.Tech program</li><li>
Previous experience in training, fine-tuning (including instruction-tuning), and deploying Large Language Models.</li><li>
Proven track record of publications at top AI conferences (or co-located workshops).</li><li>
Experience of working with problems and data from industrial domains (Aviation, Energy, Healthcare, Manufacturing, etc.).</li><li>
Strong foundations in design, analysis, and implementation of algorithms in different computing architectures is desired.</li><li>
Experience with computer vision algorithms is a plus.</li></ul>
At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.<h1 class="jobSectionHeader">
Additional Information</h1><div><div><div><div><div><div><div>
Relocation Assistance Provided: Yes</div></div></div></div></div></div></div></div>

B.Tech Intern

Merck

<div>Job Description
Postdoctoral Research Fellow in Data Rich Experimentation &ndash; (Synthetic Chemistry and Machine Learning)
Be a part of the legacy: Postdoctoral Research Fellow Program
Our Research Laboratories&rsquo; Postdoctoral Research Fellow Program aims to be a best-in-industry program for industrial postdoctoral researchers, designed to provide you with an academic focus in a commercial environment. With the resources, reach, and expertise of a large pharmaceutical company, postdoctoral researchers will be positioned to excel in an institution committed to breakthrough innovation in research and discovery. 
Position Overview: 
Join our team and be part of an exciting opportunity to develop groundbreaking catalytic methodologies in the field of drug discovery and development. This full-time position is located within the Data Rich Experimentation group in the Department of Process Research and Development, based in Rahway, New Jersey, USA. Our state-of-the-art laboratory is equipped with world-class facilities, advanced equipment, and a team of experts dedicated to catalysis research. As a member of our team, you will be responsible for applying high-throughput experimentation (HTE) techniques to drive reaction discovery and optimization. You will employ machine learning tools to develop new and diverse ligand collections for the application in asymmetric catalysis&mdash;with an emphasis on earth&#8209;abundant metals. You will have the opportunity to author peer-reviewed publications and deliver conference presentations. To thrive in this position, the ideal candidate should possess outstanding organizational, interpersonal, and communication skills. We are searching for an individual with a passion for exploring synthetic methodology development at the interface of data science and asymmetric catalysis for application to pharmaceutically relevant transformations. Join us and be part of a dynamic team where you can make a real impact and contribute to cutting-edge methodology development in an environment that fosters creativity and collaboration. 
Responsibilities include but are not limited to:<ul><li> 
Creatively solve challenging synthetic problems</li><li>
Drive results independently in a cross-functional, collaborative environment</li><li>
Communicate synthetic and data science innovations through publications and presentations</li><li>
Efficiently use data-rich experimentation technologies, data science, and machine learning to accelerate reaction discovery and optimization</li></ul> 
Education Minimum Requirement:
Candidates must currently hold a PhD or PhD completed within 6 months of hire in chemistry or related field. 
Required Experience and Skills:
<ul><li>Strong experience in synthetic chemistry</li><li>
Efficient written and oral communication skills</li><li>
Strong organizational skills and demonstrated ability to drive project results</li></ul> 
Preferred Experience and Skills:
 <ul><li>Familiarity with data science/machine learning tools or an interest in learning these tools</li><li>
Experience in method development, mechanistic studies, and reaction optimization</li><li>
Experience in asymmetric catalysis</li><li>
Experience in earth abundant metal catalysis</li></ul>
PRD
postdoctoralopportunities
Under New York City, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate&rsquo;s relevant skills, experience, and education.
Expected salary range:
$75,000.00-$86,000.00
Available benefits include bonus eligibility, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. For Washington State Jobs, a summary of benefits is listed here.
Required Skills:
Accountability, Accountability, Adaptability, Analytical Chemistry, Biostatistics, Cell Culture Techniques, Chemical Biology, Communication, Computational Biology, Data Analysis, Data Applications, Data Science, Drug Discovery Process, Experimental Methods, Immunoassays, Interpersonal Communication, In Vivo Mouse Models, Mathematical Biology, Method Development, Molecular Biology, Oral Communications, Parasitology, Process Research, Programming Languages, Scientific Research {+ 3 more}
Preferred Skills: 
US and Puerto Rico Residents Only:
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
EEOC Know Your Rights
EEOC GINA Supplement
We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another&rsquo;s thinking and approach problems collectively.
Learn more about your rights, including under California, Colorado and other US State Acts
U.S. Hybrid Work Model
Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as &ldquo;remote&rdquo;.
San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance
Search Firm Representatives Please Read Carefully 
Merck &amp; Co., Inc., Rahway, NJ, USA, also known as Merck Sharp &amp; Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
Domestic
VISA Sponsorship:
Yes
Travel Requirements:
10%
Flexible Work Arrangements:
Not Applicable
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
11/25/2025<ul><li>A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. 
</li></ul> 
Requisition ID:R371427</div>

Associate Scientist, Postdoctoral Fellow - Data-Rich Experimentation

Comcast

<div>Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. 
Job Summary
Responsible for identifying complex problems and developing and deploying novel prototypes and algorithms to solve them. Improves accuracy and functionality of algorithms and understands the overall implications of the entire machine learning frameworks. Translates application requirements into problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to solve problems and discover new products. Provide guidance and leadership to more junior researchers. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise.
Job Description
Core Responsibilities<ul><li>
Proven 5+ years of commercial experience in creating, testing, deploying, monitoring and maintaining machine learning pipelines -mandate 
<ul><li> Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling, hyperparameter tuning, experiment tracking and performance monitoring. -mandate</li><li>Expertise in correlation analysis, classification / clustering techniques, anomaly detection and time series forecasting using either traditional or deep learning ML approaches</li><li>Strong Python background with the ability to write clean, modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability.</li><li>Experience using SQL data exploration, feature extraction, and integration with analytical workflows.</li><li>Familiarity with cloud platforms and products like Google VertexAI, BigQuery, CloudSQL, Compute Engine or similar solutions</li><li>Demonstrated ability to support, mentor, and guide junior to mid-level data scientists and machine learning engineers</li><li>Familiarity with Agile ways of working, participating in sprint planning, retrospectives etc.</li><li>Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders.</li></ul>
 
Preferred Qualifications 
<ul><li>PhD at a relevant field</li><li>Networking/Telecommunications knowledge</li><li>Experience with data visualisation tools and frameworks such as Dash, Streamlit, Superset etc, to aid in the presentation of model results and findings.
</li></ul></li></ul>Employees at all levels are expected to:<ul><li>
Understand our Operating Principles; make them the guidelines for how you do your job.</li><li>
Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.</li><li>
Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.</li><li>
Win as a team - make big things happen by working together and being open to new ideas.</li><li>
Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.</li><li>
Drive results and growth.</li><li>
Support a culture of inclusion in how you work and lead.</li><li>
Do what's right for each other, our customers, investors and our communities.</li></ul>
Disclaimer:<ul><li>
This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.</li></ul>
#CIECTN25
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. 
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That&rsquo;s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality &ndash; to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. 
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
7-10 Years</div>

Engineer 4 - Machine Learning

Search 10000+ Machine learning researcher jobs near you this November. New roles added regularly across leading industries. Apply today.