<h3>Job Description</h3><div>Job Description<div>About SimpliSafeWe're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don't just want you to work here. We want you to grow and thrive here. 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 and Wednesday, to work together in person, and teams can choose 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 RoleWe 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 Natural Language Processing (NLP), Multi-modal Large Language Models (LLMs) and to enhance our products and services.Responsibilities:<ul><li>Design, develop, and deploy NLP and LLM models to solve real-world problems in the home security domain.</li><li>Work with key stakeholders to identify key research initiatives that can have impact to business outcomes </li><li>Set the research direction/roadmap for Generative AI applications</li><li>Take research initiatives from idea generation to production </li><li>Plan, adapt and execute multiple initiatives independently and through others</li><li>Collaborate with engineers and product managers to integrate NLP/LLM capabilities into our existing systems.</li><li>Stay up-to-date on the latest advancements in NLP/LLM and related fields.</li><li>Contribute to the development of our machine learning infrastructure and tools.</li><li>Influence team culture and exemplify best practices in applied research</li></ul>Qualifications:<ul><li>MS or PhD in Computer Science, Artificial Intelligence, or a related field.</li><li>1+ years of experience in developing or fine-tuning and deploying LLM models such as Llama or similar</li><li>2+ years of experience in developing and deploying NLP models such as GPT, BERT or VLM models such as CLIP, DINO </li><li>8+ years of experience in developing production-grade machine learning solutions </li><li>Strong understanding of transformer models, deep learning architectures, and statistical modeling techniques.</li><li>Strong understanding of training techniques for foundational LLM and VLM models</li><li>Skilled in Python and relevant machine learning libraries (e.g., PyTorch TensorFlow, Keras etc.).</li><li>Experience with data preprocessing, feature engineering, and model evaluation.</li><li>Excellent communication and collaboration skills.</li><li>Ability to work in a fast paced 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 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 "no job too small" 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 & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.</li></ul>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></div>

Principal Machine Learning Scientist (Large Language Models)Location: Hybrid in Cambridge, Massachusetts, USA DeepRec.ai seeks a dedicated Principal level Machine Learning Scientist specializing in Large Language Models, to join our client's innovative team in Cambridge, Massachusetts. This team are on a mission to transform mental health and well-being with AI. Key Responsibilities: <ul><li>Develop ML tools modeling psychological phenomena.</li><li>Run experiments on LLM-based multi-agent systems.</li><li>Use real-world data to fine-tune agent behavior.</li><li>Build an efficient data pipeline for product scalability.</li><li>Test techniques to enhance platform performance.</li><li>Collaborate with the team to improve KPIs and integrate the platform.</li><li>Present findings to diverse teams.</li></ul> Qualifications: <ul><li>PhD in ML, computer science, or related field.</li><li>Strong publications in deep learning and LLMs.</li><li>3+ years of industry experience.</li><li>Proficient in Python and ML libraries.</li><li>Team-oriented with excellent communication.</li><li>Leadership experience preferred.</li></ul> Preferred: Background in cognitive psychology. Please apply for more details, we look forward to hearing from you and sharing more details on this opportunity!

We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here.

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 and Wednesday, to work together in person, and teams can choose 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 Natural Language Processing (NLP), Multi-modal Large Language Models (LLMs) and to enhance our products and services.
Responsibilities:    Design, develop, and deploy NLP and LLM models to solve real-world problems in the home security domain.
Work with key stakeholders to identify key research initiatives that can have impact to business outcomes
Collaborate with engineers and product managers to integrate NLP/LLM capabilities into our existing systems.
Stay up-to-date on the latest advancements in NLP/LLM and related fields.
Contribute to the development of our machine learning infrastructure and tools.
Qualifications:    MS or PhD in Computer Science, Artificial Intelligence, or a related field.
1+ years of experience in developing or fine-tuning and deploying LLM models such as Llama or similar
1+ years of experience in developing and deploying NLP models such as GPT, BERT or VLM models such as CLIP, DINO
3+ years of experience in developing production-grade machine learning solutions
Strong understanding of transformer models, deep learning architectures, and statistical modeling techniques.
Strong understanding of training techniques for foundational LLM and VLM models
Skilled in Python and relevant machine learning libraries (e.g., PyTorch TensorFlow, Keras etc.).
Experience with data preprocessing, feature engineering, and model evaluation.
Excellent communication and collaboration skills.
Ability to work in a fast paced environment
Bonus Points:    Experience with speech recognition, natural language understanding, or natural language generation.
Publication in posters, conference proceedings, journal articles, workshops etc.
Familiarity with cloud computing platforms (e.g., AWS, GCP).
Contributions to open-source NLP/LLM projects.
What Values You’ll Share    Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
Aim High - Always challenging ourselves and others to raise the bar.
No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
One Team - Taking a highly collaborative approach to achieving success.
Lift As We Climb - Investing in developing others and helping others around us succeed.
Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.
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   .

#J-18808-Ljbffr

Who we are: The Bidding and Decisioning team under Wayfair Marketing Science is responsible for developing and managing machine learning models and strategies to optimize marketing decisions across paid media channels. We aim to create a leading, customer-focused, ML-powered decision engine that uses extensive first- and third-party data, in collaboration with engineering teams, to optimize every aspect of our marketing. This includes spend management, content optimization, segmentation, and campaign structures across major digital ad platforms like Google, Meta, Pinterest, and Microsoft Bing, etc. Our work impacts hundreds of millions in ad spend, ensuring we provide the right marketing experience for each customer, at the right time, and at the right price throughout their buying journey. What you'll do: <ul> <li>Explore and prioritize opportunities across content generation/optimization (e.g., marketing creative, onsite visual elements, etc), spend management, and product/customer segmentation. Build and implement ML solutions to enhance marketing profitability, defining clear problem statements and delivering against technical and research objectives in a timely manner. </li><li>Collaborate cross-functionally with Marketing, MarTech (Product & Engineering), and ML Platform teams to align roadmaps, adopt best practices, and build scalable, sustainable science solutions. </li><li>Engage with external vendors, including Google, Meta, Pinterest, to understand technical capabilities, inform solution designs, and influence strategic roadmaps. </li><li>Collaborate closely with engineering, infrastructure, and ML platform teams to adopt best practices for building and deploying scalable ML services. </li><li>Foster the development of junior ML scientists on the team through mentorship, knowledge-sharing, and support for subject matter expertise initiatives such as code reviews. </li></ul>Who you are: <ul> <li>Bachelor's or advanced degree (Master's, PhD) in Computer Science, Economics, Mathematics, Statistics, or related field. </li><li>3-6 years of experience as an ML engineer, applied scientist, or research scientist, with a proven track record of delivering ML projects autonomously and driving measurable business impact, particularly in digital marketing decisioning (e.g., spend management, content optimization, segmentation) and/or ML decisioning systems. </li><li>Experience with end-to-end project ownership, including collaboration with business partners and strong written and verbal communication skills. </li><li>Strong SQL skills and excellent software engineering skills in Python. </li><li>Experience deploying machine learning models in production environments, with a focus on cloud-based solutions such as GCP (BigQuery, GCS, Vertex AI, Composer), as well as workflow orchestration tools like Airflow, model tracking using MLflow, and containerization technologies like Docker. </li></ul>Nice to have: <ul> <li>PhD in Computer Science, Economics, Mathematics, Statistics, or related field. </li><li>Expertise in causal inference, multi-armed bandits (MAB), reinforcement learning, control systems, and heterogeneous treatment effect estimation </li><li>Strong background in statistical analysis, hypothesis testing, A/B testing methodologies, and quasi-experimental measurement methods. </li><li>Experience with specific marketing platforms: familiarity with Google Ads, Meta Ads, or other major advertising platforms is a definite advantage. </li></ul>Why You'll Love Wayfair: <ul> <li>Time Off: <ul><li>Paid Holidays </li><li>Paid Time Off (PTO) </li></ul> </li><li>Health & Wellness: <ul><li>Full Health Benefits (Medical, Dental, Vision, HSA/FSA) </li><li>Life Insurance </li><li>Disability Protection (Short Term & Long Term Disability) </li> <li>Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships) </li><li>Mental Health Support (Global Mental Health, Global Wayhealthy Recordings) </li><li>Caregiver Services </li></ul> </li><li>Financial Growth & Security: <ul><li>401K Matching (Employee Matching Program) </li><li>Tuition Reimbursement </li> <li>Financial Health Education (Knowledge of Financial Education - KOFE) </li><li>Tax Advantaged Accounts </li></ul> </li><li>Family Support: <ul><li>Family Planning Support </li><li>Parental Leave </li><li>Global Surrogacy & Adoption Policy </li></ul> </li><li>Professional Development & Recognition: <ul><li>Rewards & Recognition </li> <li>Global Employee Anniversary Awards </li> <li>Paid Volunteer Work </li> </ul></li> <li>Unique Perks: <ul><li>Employee Discount </li> <li>U.S. Bluebikes Membership </li><li>Global Pod Outings </li></ul> </li><li>Work/Life Balance: <ul><li>Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments </li></ul> </li></ul> Massachusetts Applicants: I understand that it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. About Wayfair Inc. Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.

About SimpliSafeWe're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don't just want you to work here. We want you to grow and thrive here. 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 and Wednesday, to work together in person, and teams can choose 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 RoleWe 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 Natural Language Processing (NLP), Multi-modal Large Models (LLMs) and to enhance our products and services.Responsibilities:<ol><li>Design, develop, and deploy NLP and LLM models to solve real-world problems in the home security domain.</li><li>Work with key stakeholders to identify key research initiatives that can have impact to business outcomes.</li><li>Collaborate with engineers and product managers to integrate NLP/LLM capabilities into our existing systems.</li><li>Stay up-to-date on the latest advancements in NLP/LLM and related fields.</li><li>Contribute to the development of our machine learning infrastructure and tools.</li></ol>Qualifications:<ol><li>MS or PhD in Computer Science, Artificial Intelligence, or a related field.</li><li>1+ years of experience in developing or fine-tuning and deploying LLM models such as Llama or similar.</li><li>1+ years of experience in developing and deploying NLP models such as GPT, BERT or VLM models such as CLIP, DINO.</li><li>3+ years of experience in developing production-grade machine learning solutions.</li><li>Strong understanding of transformer models, deep learning architectures, and statistical modeling techniques.</li><li>Strong understanding of training techniques for foundational LLM and VLM models.</li><li>Skilled in Python and relevant machine learning libraries (e.g., PyTorch, TensorFlow, Keras, etc.).</li><li>Experience with data preprocessing, feature engineering, and model evaluation.</li><li>Excellent communication and collaboration skills.</li><li>Ability to work in a fast-paced environment.</li></ol>Bonus Points:<ol><li>Experience with speech recognition, natural understanding, or natural language processing.</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 projects.</li></ol>What Values You'll Share<ol><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 'no job too small' 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 & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.</li></ol>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 <a href="#">careers@simplisafe.com</a>.
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By applying to this position, your application is automatically considered for the range of Machine Learning Scientist roles we have at Wayfair. If we think you might be a fit, a recruiter will reach out to learn more about your background and discuss relevant positions in more detail. Candidates for this position are to be based, or plan to relocate, to Boston, MA and will be expected to comply with their team's hybrid work schedule requirements. Who We Are: Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this Wayfair builds and leverages cutting edge Machine Learning and AI products and we are looking for talented individuals to join us. Wayfair's Search, Marketing, and Recommendations ML teams build algorithmic systems that drive our business, enhance customer experience, and improve customer loyalty powering what our customers see on and off our site at web scale. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact. What You'll Do: <ul><li>Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers</li><li>Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions</li><li>Collaborate closely with various engineering, infrastructure, and ML platform teams to ensure adoption of best-practices in how we build and deploy scalable ML services</li><li>Build robust monitoring, alerting, edge-case handling mechanism</li><li>Identify new opportunities and insights from the data (where can the models be improved? what is the projected ROI of a proposed modification?)</li><li>Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on</li></ul> We Are a Match Because You Have: <ul><li>Minimum 0-1 years of experience with PhD or 3+ years of industry experience with MSc/BaSc in STEMengineering, computer science, economics, etc.</li><li>Proficiency in Python or one other high-level programming language </li><li>The candidate must have a strong theoretical understanding and solid hands-on expertise deploying machine learning solutions into production.</li><li>Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity </li><li>Intellectual curiosity and enthusiastic about continuous learning</li></ul> Nice to Have: <ul><li>Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)</li><li>Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow)</li><li>Experience with Spark, Kubernetes, Docker are nice to have </li></ul> Why You'll Love Wayfair: <ul><li>Time Off:</li><ul><li>Paid Holidays</li><li>Paid Time Off (PTO)</li></ul><li>Health & Wellness:</li><ul><li>Full Health Benefits (Medical, Dental, Vision, HSA/FSA)</li><li>Life Insurance</li><li>Disability Protection (Short Term & Long Term Disability) </li><li>Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)</li><li>Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)</li><li>Caregiver Services</li></ul><li>Financial Growth & Security:</li><ul><li>401K Matching (Employee Matching Program)</li><li>Tuition Reimbursement </li><li>Financial Health Education (Knowledge of Financial Education - KOFE)</li><li>Tax Advantaged Accounts</li></ul><li>Family Support:</li><ul><li>Family Planning Support</li><li>Parental Leave</li><li>Global Surrogacy & Adoption Policy</li></ul><li>Professional Development & Recognition:</li><ul><li>Rewards & Recognition </li><li>Global Employee Anniversary Awards </li><li>Paid Volunteer Work </li></ul><li>Unique Perks:</li><ul><li>Employee Discount </li><li>U.S. Bluebikes Membership</li><li>Global Pod Outings</li></ul><li>Work/Life Balance:</li><ul><li>Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments</li></ul></ul> Massachusetts Applicants: I understand that it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. About Wayfair Inc. Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.

Were a high-tech home security company thats passionate about protecting the life youve built and our mission of keeping Every Home Secure. And weve created a culture here that cares just as deeply about the career youre building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We dont just want you to work here. We want you to grow and thrive here.Were 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 and Wednesday, to work together in person, and teams can choose 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, were 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 Natural Language Processing (NLP), Multi-modal Large Language Models (LLMs) and to enhance our products and services.Responsibilities: Design, develop, and deploy NLP and LLM models to solve real-world problems in the home security domain.Work with key stakeholders to identify key research initiatives that can have impact to business outcomesCollaborate with engineers and product managers to integrate NLP/LLM capabilities into our existing systems.Stay up-to-date on the latest advancements in NLP/LLM and related fields.Contribute to the development of our machine learning infrastructure and tools.Qualifications: MS or PhD in Computer Science, Artificial Intelligence, or a related field.1+ years of experience in developing or fine-tuning and deploying LLM models such as Llama or similar1+ years of experience in developing and deploying NLP models such as GPT, BERT or VLM models such as CLIP, DINO3+ years of experience in developing production-grade machine learning solutionsStrong understanding of transformer models, deep learning architectures, and statistical modeling techniques.Strong understanding of training techniques for foundational LLM and VLM modelsSkilled in Python and relevant machine learning libraries (e.g., PyTorch TensorFlow, Keras etc.).Experience with data preprocessing, feature engineering, and model evaluation.Excellent communication and collaboration skills.Ability to work in a fast paced environmentBonus Points: Experience with speech recognition, natural language understanding, or natural language generation.Publication in posters, conference proceedings, journal articles, workshops etc.Familiarity with cloud computing platforms (e.g., AWS, GCP).Contributions to open-source NLP/LLM projects.What Values Youll Share Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.Aim High - Always challenging ourselves and others to raise the bar.No Ego - Maintaining a no job too small attitude, and an open, inclusive and humble style.One Team - Taking a highly collaborative approach to achieving success.Lift As We Climb - Investing in developing others and helping others around us succeed.Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.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 .#J-18808-Ljbffr

We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here. 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 and Wednesday, to work together in person, and teams can choose 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.<h3>Why are we hiring?</h3>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.<h3>About the Role</h3>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 Natural Language Processing (NLP), Multi-modal Large Language Models (LLMs) and to enhance our products and services.<h3>Responsibilities:</h3><ul><li>Design, develop, and deploy NLP and LLM models to solve real-world problems in the home security domain.</li><li>Work with key stakeholders to identify key research initiatives that can have impact to business outcomes</li><li>Collaborate with engineers and product managers to integrate NLP/LLM capabilities into our existing systems.</li><li>Stay up-to-date on the latest advancements in NLP/LLM and related fields.</li><li>Contribute to the development of our machine learning infrastructure and tools.</li></ul><h3>Qualifications:</h3><ul><li>MS or PhD in Computer Science, Artificial Intelligence, or a related field.</li><li>1+ years of experience in developing or fine-tuning and deploying LLM models such as Llama or similar</li><li>1+ years of experience in developing and deploying NLP models such as GPT, BERT or VLM models such as CLIP, DINO</li><li>3+ years of experience in developing production-grade machine learning solutions</li><li>Strong understanding of transformer models, deep learning architectures, and statistical modeling techniques.</li><li>Strong understanding of training techniques for foundational LLM and VLM models</li><li>Skilled in Python and relevant machine learning libraries (e.g., PyTorch TensorFlow, Keras etc.).</li><li>Experience with data preprocessing, feature engineering, and model evaluation.</li><li>Excellent communication and collaboration skills.</li><li>Ability to work in a fast paced environment</li></ul><h3>Bonus Points:</h3><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 projects.</li></ul><h3>What Values You’ll Share</h3><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 “no job too small” 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 & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.</li></ul>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 .
#J-18808-Ljbffr

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Machine Learning Scientist Jobs in Boston, MA

Principal Machine Learning ScientistJanuary 2, 2025

Principal Llm Machine Learning ScientistJanuary 1, 2025

Senior Machine Learning ScientistDecember 22, 2024

Machine Learning Scientist IiDecember 21, 2024

Senior Machine Learning ScientistDecember 19, 2024

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Senior Machine Learning ScientistDecember 16, 2024

Quick filters

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Principal Machine Learning Scientist
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