**Company: Align AI Job Description Summary: The Sr. Machine Learning Scientist position at Align Technology focuses on using medical data to improve treatment plans and experiences with Invisalign. Key responsibilities include hiring and mentoring team members, guiding machine learning projects, collaborating with other teams globally, and staying current on ML technologies. Qualifications include 5+ years of experience in machine learning research or AI, a Master’s degree in related fields, knowledge of machine learning theory and practice, and proficiency in machine learning frameworks. Nice-to-have skills include a proactive attitude, strong communication skills, experience in Agile SDLC, and background in Computer Vision or Medical Applications. Interested candidates can click “Apply” to express interest. Align Technology is a global medical device company developing innovative technology to transform smiles and lives. The company values diversity and promotes healthy communities. It provides equal employment opportunities regardless of race, religion, sex, national origin, or other protected categories. Applicants must be legally authorized to work in the country they are applying for. Job Description: Join a team that is changing millions of lives. Transforming smiles, changing lives. At Align Technology, we believe a great smile can transform a person’s life, so we create technology that gives people the confidence to take on whatever’s next. We revolutionized the orthodontic industry with the introduction of the Invisalign system, and we have never lost sight of that spirit of innovation. Our diverse and collaborative teams are constantly pushing the boundaries of what’s possible. Ready to join us? About this opportunity The Sr. Machine Learning Scientist will help revolutionize our products by using our existing database of medical data to build services that improve treatment plans and doctor and patient experiences with Invisalign. The candidate will help to define the effort to leverage artificial intelligence and machine learning to improve treatment planning, assessment, and medical device performance. The candidate will contribute to projects from inception to… execution. The candidate will help to develop the Moscow-based machine learning team and will mentor more junior team members. In this role, you will… • Help to identify and hire additional machine learning scientists. • Mentor more junior members of the team in terms of research and professional development. • Guide machine learning projects to completion. • Help to deliver a vision for our product evolution using machine learning • Collaborate effectively with other machine learning and data science teams globally to ensure technology re-use and transfer of new capabilities to drive innovation • Stay current on the emerging directions in ML-technologies and support the development of the Global ML roadmap • Identify features and data needed for machine learning solutions • Design and implement machine learning techniques to improve treatment planning based on historical data • Develop algorithms and models in collaboration with business partners, product managers, and software engineers to solve key business initiatives • Use machine learning techniques to solve complex, multidisciplinary challenges in applied research and turn technology know-how into execution in a dynamic business environment ? • Quickly learn and assimilate new business processes, ideas and concepts to formulate conclusions and deliver results • Understand span of control to escalate or delegate issues to appropriate levels • Document and transfer technology to product groups across the company In this role, you’ll need … • * 5+ years of machine learning research or AI practice • Master in Computer Science, Statistics, Machine Learning, Statistical Data Modeling or related field or equivalent years of experience. • Knowledge of machine learning theory and practice. • 4+ years of commercial experience working with machine learning algorithms such as neural networks (CNN), decision trees, linear regression, SVM, etc. • Proficiency in one or more machine learning frameworks such as TensorFlow, Caffe, Torch, SKLearn, DLIB, etc. • 4+ years in a rapid prototyping environment such as R or Python, or in C / C++. • Must be able to present your findings in front of stakeholders • Ability to speak fluent English Nice to have: • A “can do” proactive attitude, high energy, and creativity are required along with excellent organizational skills and the ability to multi-task • Strong interpersonal, oral, written, and visual communication skills, with ability to present findings concisely and effectively. • Ability to excel in dynamic, fast-paced environment. • Experience in developing software in an Agile SDLC. • Proven ability to translate insights into business recommendations. • Strong background in Computer Vision, Pattern Matching, or Medical Applications. Sound like a good fit? Great! Click the “Apply” link to let us know you are interested. Not the right fit? Don’t worry, Align is quickly growing so we are creating more opportunities to expand our Align family. Please consider joining our Talent Network to receive notifications about future jobs or sharing this opportunity with others in your network. About Align Align Technology is a publicly traded medical device company that is transforming smiles and changing lives. Our global team of talented employees develop innovative technology, tools and treatment options to help dental professionals worldwide achieve the clinical results they expect. Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners and OrthoCAD digital services. Did you know? Align is the world’s largest manufacturer of custom 3D-printed materials. By joining Align, you will be part of a global, fast-growing company in one of the most dynamic industries. Great people, innovative technologies, and meaningful work – these are just some of the things employees say make Align Technology a great place to work. We respect your privacy. Please review our Applicant Privacy Policies for additional information. Global Diversity Statement: At Align, we believe in the power of a smile, and we know that every smile is as unique as our employees. As we grow, we will continue building a workforce of diverse cultural backgrounds and life experiences and fostering a culture of open-mindedness and compassion for all our employees. We live our company values by promoting healthy people and healthy communities. All with the intent of changing millions of lives, one unique smile at a time. Equal Opportunity Statement It is our policy to provide equal employment opportunity in all of our employment practices without regard to race, color, religion, sex, national origin, ancestry, marital status, protected veteran status, age, individuals with disabilities, sexual orientation or gender identity or expression or any other legally protected category. Applicants for positions with Align must be legally authorized to work in the country which they are applying for and verification of employment eligibility will be required as a condition of hire
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Level of experience (years):Senior (5+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.