machine learning scientist

SimpliSafe

<div>About SimpliSafe

SimpliSafe is a leading innovator in the home security industry, dedicated to making every home a safe home. With a mission to provide accessible and comprehensive security solutions, we design and build user-centric products that empower individuals and families to protect what matters most.

We believe in a collaborative and agile environment where learning and growth are continuous. Our teams are composed of talented individuals who are passionate about technology, security, and delivering exceptional customer experiences.

We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday &ndash; working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Why are we hiring?

Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.

About the Role

We are seeking a highly motivated and experienced Machine Learning Scientist to join our growing Engineering team. As a key contributor, you will play a crucial role in developing and implementing cutting-edge machine learning models, with a focus on Computer Vision (CV), Multi-modal Large Language Models (LLMs) and Agentic AI to enhance our products and services.

Responsibilities:
<ul>
<li>Develop and fine-tune large language models (LLMs) and vision-language models (VLMs) to address real-world challenges in the home security space</li>
<li>Work with key stakeholders to identify key research initiatives that can have impact on business outcomes.</li>
<li>Take research initiatives from idea generation to production.</li>
<li>Collaborate with engineers and product managers to integrate capabilities into our existing systems.</li>
<li>Stay up-to-date on the latest advancements in LLMs, VLMs, and multimodal systems. Evaluate new techniques for potential adoption and improvement of internal capabilities.</li>
</ul>
Qualifications:
<ul>
<li>MS or PhD in Computer Science, Artificial Intelligence, or a related field.</li>
<li>Experience training or fine-tuning large language models (LLMs) using modern frameworks.</li>
<li>Strong grasp of deep learning, particularly transformer architectures and foundational model training techniques for text and vision modalities.</li>
<li>Proficient in Python and relevant ML libraries (e.g., PyTorch, TensorFlow, HuggingFace Transformers).</li>
<li>Hands-on experience in developing and deploying LLM- or VLM-powered applications.</li>
<li>Familiarity with prompt engineering, retrieval-augmented generation (RAG), MCP (Model Context Protocol, Agentic AI and evaluation of generative models.</li>
<li>Understanding of MLOps practices and how to scale experiments into production-grade solutions.</li>
<li>Strong communication and documentation skills.</li>
<li>Collaborative mindset with the ability to thrive in a fast-paced, interdisciplinary environment.</li>
</ul>
Bonus Points:
<ul>
<li>Experience with speech recognition, natural language understanding, or natural language generation.</li>
<li>Publication in posters, conference proceedings, journal articles, workshops etc.</li>
<li>Familiarity with cloud computing platforms (e.g., AWS, GCP).</li>
<li>Contributions to open-source NLP, LLM or CV projects.</li>
</ul>
What Values You'll Share
<ul>
<li>Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.</li>
<li>Aim High - Always challenging ourselves and others to raise the bar.</li>
<li>No Ego - Maintaining a &quot;no job too small&quot; attitude, and an open, inclusive and humble style.</li>
<li>One Team - Taking a highly collaborative approach to achieving success.</li>
<li>Lift As We Climb - Investing in developing others and helping others around us succeed.</li>
<li>Lean &amp; Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.</li>
</ul>
What We Offer
<ul>
<li>A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
</li><li>A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)</li>
<li>Free SimpliSafe system and professional monitoring for your home.</li>
<li>Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.</li>
</ul>
The target annual base pay range for this role is $127,300 to $186,700.

This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors.

Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.

We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.</div>

Machine Learning Scientist II - Gen AI

Enlyte

<div>Company Overview:
<div>
At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.</div><div></div><div> 
Be part of a team that makes a real difference.</div>
Job Description :
<div>
We are seeking passionate graduate-level ML/AI interns to join our Auto Physical Damage (APD) Intelligent Solutions team for Summer 2026 to work on cutting-edge ML/computer vision, generative AI systems, and claims management AI applications, and responsible AI initiatives. You will contribute to real-world projects involving computer vision, NLP, large language models, RAG, multi-agent systems, and AI safety frameworks while gaining hands-on experience with the latest AI innovations shaping our Property &amp; Casualty industry.</div><div></div><div> 
You will have the opportunity to work on several challenging Machine Learning, Generative as well as Responsible AI problems, including:</div><ul><li>
Build models at scale using vast amounts of structured and unstructured heterogeneous data.</li><li>
Ensure high accuracy based on industry&rsquo;s stringent requirements around precision or recall and with minimum Type I and Type II errors.</li><li>
Generate predictions for millions of rows of data with high response time, and low latency.</li><li>
Deal with high data diversity, very high dimensionality, and noisy data.</li><li>
Integrate Trustworthy Machine Learning, AI ethics, and governance.</li><li>
Learn about Causal Inference for AI Systems</li></ul><div>
Key Focus Areas</div><ul><li>
Generative AI &amp; Foundation Models</li><li>
Design and fine-tune large language models and multimodal AI systems</li><li>
Implement RAG (Retrieval-Augmented Generation) pipelines and prompt engineering strategies</li><li>
Work with open-source, open-weights and proprietary LLMs (Nova, Titan, Claude, &amp; Gemini)</li><li>
Integrate responsible AI &amp; bias mitigation</li><li>
Conduct fairness audits and bias testing across protected attributes (race, gender, age, license plate etc.)</li><li>
Implement AI governance frameworks and risk assessment protocols</li><li>
Develop evaluation metrics for model safety, hallucination detection, and alignment</li><li>
Agentic AI Systems</li><li>
Build autonomous AI agents using frameworks like AWS strands, AWS agent core or CrewAI</li><li>
Design multi-agent orchestration for complex task automation</li><li>
Create evaluation benchmarks for agent reliability and performance</li></ul>
Qualifications:
<div>
Education &amp; Timing</div><ul><li>
Pursuing a MS/PhD in Computer Science, AI/ML, Data Science, or related field</li><li>
GPA of 3.5 or higher</li><li>
Graduating Summer/Fall 2026 or Spring 2027</li><li>
Ability to commit 40 hours per week for 12 weeks during the 2026 summer</li></ul><div>
Technical Skills</div><ul><li>
Foundation in transformers, attention mechanisms, and neural net architectures</li><li>
Experience with TensorFlow or PyTorch</li><li>
Proficiency in Python and modern ML ops tools</li><li>
Coursework in: Deep Learning, NLP, AI Ethics, or Trustworthy AI</li><li>
Coding assisting tools like GitHub copilot, Cline, and knowledge around using scientific, distributed programming and scripting languages like Python, PySpark and/or Java preferred.</li><li>
Strong foundation in mathematics, statistics, and machine learning algorithms</li><li>
Knowledge of Human-AI Interaction Design</li></ul><div>
Preferred Experience</div><ul><li>
Published research or significant projects in generative AI applications</li><li>
Contributions to open-source AI safety tools or bias detection frameworks</li><li>
Familiarity with constitutional AI, RLHF, or interpretability methods</li><li>
AI ethics certifications or responsible AI coursework</li></ul><div>
Learn more about our Summer Internship Program:</div><div>
https://careers.enlyte.com/internship</div> 
<div></div>
Benefits:
<div>
Compensation depends on the applicable US geographic market. The expected base pay for this position is $35 per hour and will be based on a number of additional factors including skills, experience, and education.</div><div> 
</div>The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.<div> 
</div><div>Don&rsquo;t meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</div></div>

Machine Learning Data Scientist Intern

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You&rsquo;ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. 
 
Do you have proven analytical capabilities to identify business opportunities, develop predictive models and optimization algorithms to help us build state of the art Support organization? 
 
At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the world&rsquo;s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Amazon Web Services, Inc. provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management. 
 
Global AWS central support team is looking for a passionate Data Scientist to model contact forecasting, discovering insights and identifying opportunities through the use of statistics, machine learning, and deep learning to drive business and operational improvements. A successful candidate must be passionate about building solutions that will help drive a more efficient operations network and optimize cost. In this role, you will partner with data engineering, Tooling team, operations, Training, Customer Service, Capacity planning and finance teams, driving optimization and prediction solutions across the network.
 
 
Key job responsibilities 
We are looking for an experienced and motivated Data Scientist with proven abilities to build and manage modeling projects, identify data requirements, build methodology and tools that are statistically grounded 
The candidate will be an expert in the areas of data science, optimization, machine learning and statistics, and is comfortable facilitating ideation and working from concept through execution. 
The candidate is customer obsessed, innovative, independent, results-oriented and enjoys working in a fast-paced growing organization. 
An interest in operations, manufacturing or process improvement is helpful. The ability to embrace this ambiguity and work with a highly distributed team of experts is critical. 
As we scale up, there is opportunity to own globally impactful work and grow your career in technical, programmatic or people leadership. 
You will likely work with Python or R, though specific particular modelling language. 
Your problem-solving ability, knowledge of data models and ability to drive results through ambiguity are more important to us. 
 
About the team 
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying. 
 
Why AWS? Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
 
Mentorship &amp; Career Growth - We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of data scientist experience</li><li>5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>2+ years of guiding and coaching a group of researchers experience</li><li>5+ years of working with or evaluating AI systems experience</li><li>Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Data Scientist II, SAnDS, SAnDS

Target

<div>The pay range is $98,000.00 - $211,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN TARGET AS A SR DATA SCIENTIST &ndash; SEARCH (NLP, APPLIED ML)
About us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data to automate and optimize decisions at scale. Whether you join our Data Sciences or Machine Learning teams, you&rsquo;ll be challenged to harness Target&rsquo;s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain, Demand Forecasting, Search and Personalization rely on. 
Every Data Scientist on Target&rsquo;s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance to elevate Target&rsquo;s culture and apply retail domain knowledge.
The Target Search and Browse Data Science team builds the core relevance engine and Data Science products that power Target&rsquo;s digital experience. As a Sr Data Scientist on this team &ndash; you&rsquo;ll work with business partners to provide solutions for business problems in a fast-paced and global environment. You&rsquo;ll have the opportunity to design quality, flexible and performant Data Science systems and services at scale. You&rsquo;ll also architect Data Science solutions that capture, process and mine huge datasets in the retail industry. We&rsquo;ll also promote innovative thinking as well as the opportunity to utilize cutting-edge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems at Target!
As a Sr Data Scientist, you will influence by interacting within the Data Sciences team and with Product teams, perform within the scale and scope of your role by implementing solutions, and contribute to Data Sciences&rsquo; and Target&rsquo;s culture by modeling the culture. Through your understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory, you will perform data exploration and analysis (look at distributions, find anomalies, create simple visualizations, etc.) and implement algorithmic solution given specifications, while adhering to best practices in model development. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable &amp; tested codebase with relevant documentation.
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About you:<ul><li>
PhD or MS in Computer Science, Information Technology, Applied Mathematics, Physics or relevant industry work experience in a quantitative field</li><li>
Exceptional coding/programming in Python or Java with advanced technical problem-solving skills</li><li>
3 plus year of experience implementing end to end ML models and algorithms into production</li><li>
Demonstrated experience implementing search indexing, ranking, information retrieval, query understanding or recommendation / recommender systems</li><li>
Experience deploying Machine Learning algorithms into production environments</li><li>
Experience with ML Ops (VetexAI, Bigquery, etc.) and various testing frameworks and containerization (Docker, Kubernetes, etc.)</li><li>
Experience querying large databases with SQL, HQL or some variations</li><li>
Excellent interpersonal and communication skills that can partner with a global teams</li><li>
Constant learner mentality that stays on the leading edge of search, query understanding, applied ML, LLM&rsquo;s and NLP advancements</li></ul>
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target&rsquo;s needs. A Hybrid/Flex for Your Day work arrangement means the team member&rsquo;s core role will need to be performed both onsite at the Target HQ Sunnyvale or MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota
Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 03/29/2026</div>

Sr Applied Data Scientist - Search (NLP, Query Understanding, LLM's)

Biogen

<div>Scientist, Machine Learning, Molecular Design
About This Role
The Computational Molecular Science team at Biogen is searching for a scientist interested in machine learning applications and transformative artificial intelligence algorithms to accelerate and improve the established small molecule design cycle that consists of idea generation, evaluation, and synthesis. This is a unique opportunity to join a cross-functional team working at the intersection of computational, chemical, and biological sciences and have direct access to a wealth of structured and unstructured data across the Biogen research organization to make a massive impact on redefining the early drug-discovery platform.
What You&rsquo;ll Do
<ul><li>Build and deploy ML-driven molecular design workflows that combine deep generative models and deep reinforcement learning to propose and prioritize small molecules under multi-parameter objectives (potency, ADMET, novelty, synthesizability).
</li>Develop and maintain predictive models and molecular representations (e.g., GNNs/Transformers, 2D/3D features) and integrate them into iterative &ldquo;generate score<li> learn&rdquo; design loops.
</li><li>Collaborate with Computational Chemistry and cross-functional Drug Discovery teams to translate project needs into robust, reproducible tools and deliver measurable impact on small-molecule programs.
</li><li>Publish and present methodological and applied work internally and externally.
</li></ul>The successful candidate will be a creative and highly motivated scientist with demonstrated expertise in the field of machine learning and cheminformatics. You will be expected to stay current with the scientific literature and apply the latest advances in computational methods to address drug discovery challenges. As a key contributor to the molecule informatics group, thinking independently to solve complex problems is an important aspect of this position.
Required Skills
<ul><li>Ph.D. in Computer Science (or related field) with strong fundamentals in machine learning, deep learning, and optimization.
</li><li>1+ years of postdoctoral experience with demonstrated ability to lead research projects independently and deliver high-quality results.
</li><li>Proven ability to work effectively in a multidisciplinary environment.
</li><li>Strong track record of publications and/or scientific presentations demonstrating impact and scientific rigor.
</li><li>Excellent oral and written communication skills, including the ability to explain technical work to both technical and non-technical audiences.
</li></ul>Preferred Skills
<ul><li>Strong hands-on experience developing and training deep learning models end-to-end (data pipelines, model design, training loops, debugging, and evaluation) using PyTorch or TensorFlow.
</li><li>Proven experience with modern deep generative models for molecular design (e.g., Transformer, GAN; diffusion/graph models are a plus)
</li><li>Experience applying deep reinforcement learning and/or multi-objective optimization to molecular generation and prioritization (e.g., reward design, constraint handling, Pareto trade-offs).
</li><li>Solid understanding of deep learning best practices (regularization, hyperparameter tuning, representation learning, uncertainty estimation, and generalization under data shift).
</li>Strong Python skills and practical experience with the ML ecosystem; cheminformatics experience is a plus. 
<li>
</li></ul> 
Job Level: Professional 
 
Additional Information
The base compensation range for this role is: $117,000.00-$152,000.00 
<div> 
Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills &amp; experience, job location, and internal equity.
Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.
In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees&rsquo; and their families physical, financial, emotional, and social well-being ; including, but not limited to:
<ul><li>Medical, Dental, Vision, &amp; Life insurances
</li><li>Fitness &amp; Wellness programs including a fitness reimbursement
</li><li>Short- and Long-Term Disability insurance
</li><li>A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
</li><li>Up to 12 company paid holidays + 3 paid days off for Personal Significance
</li><li>80 hours of sick time per calendar year
</li><li>Paid Maternity and Parental Leave benefit
</li><li>401(k) program participation with company matched contributions
</li><li>Employee stock purchase plan
</li><li>Tuition reimbursement of up to $10,000 per calendar year
</li><li>Employee Resource Groups participation
</li></ul></div><div>Why Biogen?
We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.
At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&amp;I efforts.
All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.</div></div>

Scientist, Machine Learning, Molecular Design

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges in the e-commerce space? If so, Amazon's International Seller Services team has an exciting opportunity for you as an Applied Scientist. 
 
At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Our International Seller Services team plays a pivotal role in expanding the reach of our marketplace to sellers worldwide, ensuring customers have access to a vast selection of products.
 
 
As an Applied Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for our customers and sellers. You will be part of a global team that is focused on acquiring new merchants from around the world to sell on Amazon&rsquo;s global marketplaces around the world. The position is based in Seattle but will interact with global leaders and teams in Europe, Japan, China, Australia, and other regions.
 
 
Join us at the Central Science Team of Amazon's International Seller Services and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce. 
 
Please visit https://www.amazon.science for more information 
 
 
 
 
Key job responsibilities 
<ul><li>Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges in the international seller services domain.</li><li>Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.</li><li>Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces.</li><li>Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems.</li><li>Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 4+ years of solving business problems through machine learning, data mining and statistical algorithms experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF</li><li>Experience in NLP, generative AI, LLM, or DL, RL.</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Applied Scientist - II, Intl Seller Growth

D'SIAR TECH LLP

Job Title: Principal Data ScientistLocation: Bangalore Work Mode: Work from Office Working Days: 5 Days Compensation: Competitive (Best in Industry) Experience: 6 to 10 Years Qualification: Master&rsquo;s / Ph.D. in Computer Science, AI, ML, or related field (preferred)Industry: Healthcare Function: Information TechnologyRole OverviewWe are seeking a Principal Data Scientist to lead the design, development, and deployment of advanced AI and machine learning solutions in the healthcare domain. This role will focus on Generative AI, NLP, ASR, LLMs, and agent-based AI frameworks to drive innovation in clinical documentation, speech recognition, and intelligent healthcare systems.The ideal candidate will bring deep expertise in transformer models, cloud-based AI deployments, MLOps, and healthcare AI compliance, along with strong leadership and mentoring capabilities.Key Requirements<ul><li>7+ years of experience in Machine Learning, Generative AI, NLP, ASR, and LLMs</li><li>Strong Python programming experience with PyTorch and/or TensorFlow</li><li>Experience fine-tuning transformer models such as GPT, BERT, T5, LLaMA, Whisper, etc.</li><li>Experience deploying AI solutions on AWS, Azure, or GCP using Docker and Kubernetes</li><li>Hands-on experience with LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures</li><li>Experience integrating AI solutions with healthcare systems (EHR/EMR)</li><li>Knowledge of healthcare interoperability and compliance standards (e.g., HL7, FHIR, HIPAA)</li><li>Proven experience leading AI initiatives and mentoring technical teams</li></ul>Key ResponsibilitiesAI Strategy &amp; Development<ul><li>Design and implement AI solutions for speech recognition, text processing, and conversational AI</li><li>Develop transformer-based models for clinical summarization and documentation automation</li><li>Build scalable, reusable AI architectures and agent-based frameworks</li></ul>Model Development &amp; Optimization<ul><li>Fine-tune NLP and ASR models for healthcare use cases</li><li>Validate model accuracy and clinical reliability</li><li>Continuously improve model performance and efficiency</li></ul>Cloud &amp; MLOps<ul><li>Architect and deploy AI solutions on cloud platforms</li><li>Implement CI/CD pipelines and MLOps lifecycle management</li><li>Manage containerized deployments using Docker and Kubernetes</li></ul>Integration &amp; Compliance<ul><li>Ensure AI solutions align with healthcare regulatory and data privacy standards</li><li>Integrate AI models with healthcare platforms and enterprise systems</li><li>Implement ethical AI and bias mitigation practices</li></ul>Leadership &amp; Collaboration<ul><li>Lead and mentor data science and ML engineering teams</li><li>Collaborate with clinicians, engineers, and business teams</li><li>Drive AI research initiatives and long-term technology roadmap</li></ul>Required Skills &amp; Competencies<ul><li>Machine Learning, Deep Learning, and Generative AI</li><li>Python, PyTorch, TensorFlow</li><li>Transformer-based LLMs and ASR models</li><li>Vector databases and embeddings</li><li>Cloud platforms (AWS/Azure/GCP)</li><li>LangChain, OpenAI APIs, RAG pipelines</li><li>Docker, Kubernetes, and MLOps best practices</li><li>Strong communication, leadership, and collaboration skills</li></ul>Employee Benefits &amp; Perks<ul><li>Comprehensive medical insurance coverage for employees and dependents</li><li>Group personal accident coverage</li><li>Complimentary office canteen facilities</li><li>High-impact leadership role in a growing healthcare AI environment</li></ul>Job Type: Full-timePay: ₹2,500,000.00 - ₹3,000,000.00 per yearWork Location: In person

Principle Data Scientis

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