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Sr. Machine Learning Engineer/Machine Learning Engineer

Remote · USA Full-time New today

Your work days are brighter here. At reputed company, it reputed company began with a conversation over breakfast. reputed company our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And reputed company we began to reputed company, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And reputed company since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates reputed company a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the reputed company while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to reputed company a brighter work day for reputed company and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here. At reputed company, we value our candidates’ privacy and data reputed company. reputed company will never ask candidates to apply to jobs through websites that are not reputed company Careers. Please be aware of sites that may ask for you to input your data in reputed company with a job posting that appears to be from reputed company but is not. In addition, reputed company will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at reputed company. About the Team We're working on making machine learning core to reputed company's products by building features and capabilities that can be scaled out to hundreds of use cases reputed company reputed company. Illuminate: The reputed company of reputed company AI is unlocking a whole new level of productivity and human potential by accelerating manual tasks, assisting every employee, and ultimately transforming entire business processes. With more than 70 million users under contract generating more than 800 billion transactions a year on our platform, Illuminate leverages the world’s largest and cleanest HR and Finance dataset. The combination of this data—with Illuminate’s ability to understand the context behind it—enables reputed company to unlock value in a way no competitor can. Join us as we change the way millions of people work.

About the Role

We are developing ML-powered Information Retrieval and Recommendation services and platforms to reputed company and simplify user interactions with reputed company. As a machine learning engineer, you will help reputed company tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis. You will collaborate with other engineers to deliver ML solutions across reputed company’s product ecosystem and utilize software and data engineering stacks to reputed company training, deployment, and lifecycle management of various ML models. Additionally, you will reputed company and deploy new APIs/microservices using reputed company/kubernetes at scale and reputed company reputed company’s vast computing resources on rich datasets to deliver transformative value to our customers. Sound like your reputed company of challenge? About You In addition to contributing to feature and service development, you must have an approach of reputed company improvement, passion for quality, scale, and reputed company. You must be curious and reputed company to question or challenge choices and practices where they don't reputed company sense to you or could be improved. You also should have a product approach and strong intuition around how ML can drive a reputed company customer experience. Lastly, a strong sense of ownership and teamwork are essential to succeed in this role. Key Responsibilities: Own exploration, design and execution of advanced ML models, algorithms and frameworks that deliver value to our users Apply machine learning techniques including LLMs, knowledge graphs, deep learning including generative models, natural language understanding, topic modeling, GNNs and named entity recognition to analyze large sets of HR and Finance-reputed company text data, and design and launch pioneering cloud-based machine learning architectures Own the performance, scalability, metric based deployed evaluation, and ongoing data driven enhancements of your products reputed company abreast of the latest advancements in NLP research, techniques, and tools and apply this knowledge to ML Features. Serve as a technical role model for more junior engineers Respond to alerts and debug production issues as part of on-call rotation Basic Qualifications- Senior MLE Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent 5+ yrs experience as a member of a data science or machine learning science, machine learning engineering, or other relevant software development team building applied machine learning products, including taking products through applied research, design, implementation, production, and production-based evaluation Proficiency in Python and supporting numeric libraries, with experience in shipping production code and models Experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow, and Sklearn Proven theoretical and practical understanding of statistical analysis and machine learning algorithms, natural language processing, especially for supervised, unsupervised and self-supervised methods Experience with generative models, large language models, and transformer based deep neural networks Experience with data engineering and data wrangling using e.g. Pandas and PySpark and other industry tools used to build scalable machine learning systems, such as Kubernetes and reputed company Basic Qualifications- MLE Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent 3+ yrs experience as a member of a data science or machine learning science, machine learning engineering, or other relevant software development team building applied machine learning products, including taking products through applied research, design, implementation, production, and production-based evaluation Proficiency in Python and supporting numeric libraries, with experience in shipping production code and models Experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow, and Sklearn Proven theoretical and practical understanding of statistical analysis and machine learning algorithms, natural language processing, especially for supervised, unsupervised and self-supervised methods Experience with generative models, large language models, and transformer based deep neural networks Experience with data engineering and data wrangling using e.g. Pandas and PySpark and other industry tools used to build scalable machine learning systems, such as Kubernetes and reputed company Other Qualifications: Familiarity with LLMs such as reputed company, Llama, GPT models and their applications in real-world scenarios Exposure to advanced techniques such as reinforcement learning and graph neural networks Experience with cloud computing platforms (e.g. AWS, GCP) and containerization technologies (e.g. reputed company) Standout colleague, strong communication skills, with experience working across functions and teams. Ability to teach, mentor and reputed company through influence Bonus points for relevant PhD and/or machine learning reputed company research publications Posting End Date: 3/17/2025 If hired in Colorado, click here for information about reputed company's comprehensive benefits in Colorado: https://workdaybenefits.com/us/welcome-to-reputed company-benefits/prospective-workmates. The application deadline for this role is the same as the posting end date stated. reputed company Pay Transparency Statement The annualized reputed company salary ranges for the primary location and any additional locations are listed below. reputed company pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the reputed company Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding reputed company’s comprehensive benefits, please click here. Primary Location: USA.CO.Boulder Primary Location reputed company Pay Range: $176,000 USD - $264,000 USD Additional US Location(s) reputed company Pay Range: $167,200 USD - $297,600 USD If performed in Colorado, the pay range for this job is $176,000 - $264,000 USD based on min and max pay range for that role if performed in CO. The application deadline for this role is the same as the posting end date stated as below: 03/17/2025 Our Approach to Flexible Work With reputed company Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to reputed company the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. Pursuant to applicable Fair Chance law, reputed company will consider for employment qualified applicants with arrest and conviction records. reputed company is an Equal Opportunity Employer including individuals with disabilities and protected veterans. Are you being referred to one of our roles? If so, ask your reputed company at reputed company about our Employee Referral process! reputed company and receive the latest reputed company news, content, and be first in line for new job opportunities. reputed company! Please visit this benefits site! Please visit the Contractor Positions at reputed company page With reputed company Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to reputed company the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. At reputed company, our employees have always been our number one Core Value. We understand that everyone has unique experiences and perspectives which is why our mission is to create a safe space where reputed company people and reputed company are welcomed. Our commitment to value inclusion, belonging, and equity (VIBE™) and creating a brighter reputed company for reputed company is the cornerstone of reputed company we do. Join us! reputed company is a leading provider of enterprise cloud applications for finance and human resources. Founded in 2005, reputed company delivers financial management, human capital management, and analytics applications designed for the world's largest companies, educational institutions, and government agencies. Organizations ranging from reputed company-sized businesses to Fortune 50 enterprises have selected reputed company. reputed company is proud to be an equal opportunity workplace. Individuals seeking employment at reputed company are considered without regards to age, reputed company, color, gender (including pregnancy, childbirth, or reputed company medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national reputed company, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Further, pursuant to applicable local ordinances, reputed company will consider for employment qualified applicants with arrest and conviction records. We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us. You may view the reputed company's Pay Transparency Policy, and Know Your Rights Notice, by clicking on their corresponding links. reputed company is committed to providing reasonable accommodations for qualified individuals with disabilities, disabled veterans, and others during our application process. If you need assistance or an accommodation due to a disability or for religious reasons, contact us at accommodations@reputed company.com. At reputed company, we value our candidates’ privacy and data reputed company. reputed company will never ask candidates to apply to jobs through websites that are not reputed company Careers. Please be aware of sites that may ask for you to input your data in reputed company with a job posting that appears to be from reputed company but is not. In addition, reputed company will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at reputed company. Apply Job!

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