While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Responsibilities: <ul> <li>Conduct research in machine learning, deep learning, and statistical modeling to design and implement new algorithms and techniques for multi-modal, generative AI, and LLM applications. </li><li>Work on improving the performance and accuracy of existing machine learning models and algorithms, and identify areas for optimization and improvement. </li><li>Develop and train multimodal generative models, with a focus on improving the quality of generated content and enabling seamless multi-modal interactions. </li><li>Collaborate with cross-functional teams, including software developers, data scientists, and product managers, to develop and deploy machine learning models and applications. </li><li>Stay up-to-date with the latest research and developments in machine learning and AI, and apply new techniques and approaches as appropriate. </li><li>Write high-quality technical reports, papers, and presentations to document research findings and communicate results to internal and external stakeholders. Support the team in generating new Intellectual property </li></ul>Required Skills: <ul> <li>Pursuing Ph.D or Master's degree in computer science, electrical engineering, statistics, or a related field, with a focus on machine learning, deep learning, or AI in general. </li><li>Experience in machine learning research and development, with a focus on multi-modal, generative AI, and LLM applications. </li><li>Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, or Keras. </li><li>Solid understanding of statistical modeling and analysis techniques, and experience with data visualization tools. </li><li>Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. </li><li>Strong publication record in top-tier machine learning, deep learning, or AI conferences or journals. </li><li>Drug discovery, knowledge synthesis will be a plus </li></ul>What is in it for you: <ul> <li>Be part of the fastest-growing AI-first digital transformation and engineering company in the world </li><li>Be a leader of an energetic team of highly dynamic and talented individuals </li><li>Exposure to working with fortune 500 companies and innovative market disruptors </li><li>Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud </li></ul> If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Mindtech is a leader in providing end-to-end software outsourcing solutions, bridging the gap between Latin American talent and global companies. Our team excels in delivering innovative and cutting-edge technologies to clients worldwide. We are looking for a passionate and skilled Machine Learning Research Engineer to join our growing team in Boston and help us push the boundaries of AI and machine learning.
<h3>Role Overview:</h3>
As a Machine Learning Research Engineer at Mindtech, you will be at the forefront of developing and applying state-of-the-art machine learning techniques. You will work closely with data scientists, engineers, and product teams to create models that solve complex real-world problems. The ideal candidate will have a strong academic and research background in machine learning, hands-on experience in model development, and a passion for experimenting with innovative AI techniques.
<h3>Key Responsibilities:</h3>
<ul><li>Research, design, and implement cutting-edge machine learning models for various applications.</li><li>Collaborate with cross-functional teams to translate business needs into practical ML solutions.</li><li>Develop scalable machine learning algorithms and optimize model performance.</li><li>Stay up to date with the latest advancements in AI and machine learning, integrating new methods into ongoing projects.</li><li>Conduct thorough experimentation and analysis to validate model effectiveness.</li><li>Build, train, and evaluate models using large datasets, ensuring robustness and accuracy.</li><li>Write research papers and technical documentation to present findings internally and externally.</li><li>Contribute to the overall architecture and design of machine learning systems.</li></ul>
<h3>Requirements:</h3>
<ul><li>Educational Background: PhD in Machine Learning, Artificial Intelligence, Computer Science, Data Science, or a related field is required.</li><li>Experience:<ul><li>Proven research experience with hands-on experience in designing and implementing ML models.</li><li>Experience with deep learning frameworks (TensorFlow, PyTorch) and classical ML libraries (Scikit-learn).</li><li>Solid experience in Python and familiarity with data manipulation tools (Pandas, NumPy).</li></ul></li><li>Skills:<ul><li>Strong understanding of supervised and unsupervised learning techniques.</li><li>Proficiency in model evaluation, optimization, and hyperparameter tuning.</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying machine learning models.</li><li>Excellent problem-solving skills and ability to work with large, complex datasets.</li><li>Strong communication skills for effectively presenting complex concepts to both technical and non-technical stakeholders.</li></ul></li></ul>
<h3>Nice to Have:</h3>
<ul><li>Experience with reinforcement learning, natural language processing, or computer vision.</li><li>Published research in high-impact ML/AI conferences or journals.</li><li>Familiarity with MLOps and CI/CD pipelines for ML models.</li></ul>
<h3>Why Join Mindtech?</h3>
<ul><li>Work with a diverse and talented global team.</li><li>Opportunity to work on cutting-edge AI projects.</li><li>Access to continuous learning and development opportunities.</li><li>Competitive salary and benefits.</li></ul>
Ready to push the boundaries of machine learning? Join us at Mindtech in Boston and make an impact!
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<h3>Job Description</h3><div>Job Description<div>Description: We’re looking for passionate and experienced Research Engineers to become an integral part of our research team. The ideal candidate will have a strong background in machine learning, programming, and applied research. This is an incredible opportunity to join an experienced founding team who have collectively raised $1bn+ in capital across several previously successful ventures and lead AI Research within the business.In this role, you will collaborate with a small team of talented researchers and engineers on exciting new projects in program synthesis and code transpilation, blending formal methods and modern deep learning architectures like graph neural networks and large language models.Core Responsibilities:<ul><li>Design methods, tools, and infrastructure to push forward the state of the art in program synthesis.</li><li>Define research goals informed by practical engineering concerns.</li><li>Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.</li><li>Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, GPU, and cloud training infrastructure).</li><li>Work with a distributed team.</li><li>Contribute to publications and open-sourcing efforts.</li></ul>RequirementsRequired Qualifications:<ul><li>Bachelor’s degree in Electrical Engineering, Computer Engineering, or a closely related field, or equivalent professional experience.</li><li>At least 1+ years in an applied research or development role focusing on machine learning and deep learning.</li><li>Strong understanding of machine learning techniques.</li><li>Proven track record of developing, scaling, and deploying machine learning models, particularly in a cloud or distributed computing environment.</li><li>Programming experience in Python and hands-on experience with frameworks such as PyTorch.</li><li>Familiarity with software engineering best practices, including version control (Git), code reviews, and continuous integration/deployment (CI/CD).</li></ul>Preferred Qualifications:<ul><li>Master’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Direct experience in generative AI or code generation.</li><li>First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).</li></ul>Benefits<ul><ul><li>Competitive salary and benefits including:</li></ul><ul><li>Health Care Plan (Medical, Dental & Vision)</li><li>Retirement Plan (401k, IRA)</li><li>Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays)</li><li>Flexible hybrid work arrangement</li><li>Relocation assistance for qualifying employees</li></ul></ul>If you are passionate about machine learning and applied research, and looking to make a significant impact, we would love to hear from you. Apply now to join our innovative team!<ul><li>Relocation assistance for qualifying employees</li></ul></div></div>

We Are: The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI. With over 45,000 professionals dedicated to Data & AI, Accentures Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are : As an AI Research Engineer, you will be responsible for developing and deploying advanced AI models and systems that address real-world problems and drive business innovation. You will translate research findings into practical, scalable solutions, ensuring that AI technologies are effectively integrated into our products and services. Your role will involve working closely with research teams, engineering teams, and product managers to implement and optimize AI solutions. The Work : Development & Implementation: + Design, develop, and implement cutting-edge AI models and systems based on the latest research and industry advancements. + Translate research prototypes into production-ready code and scalable solutions. + Optimize algorithms and models for performance, efficiency, and reliability in real-world applications. Deployment & Integration: + Deploy AI models and systems into production environments, ensuring seamless integration with existing infrastructure and workflows. + Collaborate with software engineers to integrate AI solutions into products and services, addressing technical and scalability challenges. + Monitor and maintain deployed models, making improvements and adjustments as needed to ensure continued effectiveness. Collaboration & Communication: + Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align AI solutions with business objectives . + Provide technical guidance and support to team members on AI development and deployment issues. + Communicate complex technical concepts and findings to both technical and non-technical stakeholders. Research & Innovation: + Stay current with the latest developments in AI research and technology and apply relevant advancements to improve AI systems and models. + Conduct experiments and tests to validate the performance of AI models and identify areas for enhancement. + Contribute to the innovation pipeline by proposing and developing new AI technologies and methodologies. Travel may be required for this role. ?The amount of travel will vary from 0 to 100% depending on business need and client requirements. This role requires working onsite at our G enerative AI Center of Excellence located in Mountain View, CA. Here's what you need + Bachelor's degree ( or equivalent minimum 12 years work experience , or minimum 6 years' work experience with Associates degree ) in Computer Science, Computer Engineering, or related backgrounds + 3 years of experience with programming languages such as Python, C++, or Java. + 3 years of experience with machine learning algorithms and tools ( e.g. Pytorch , TensorFlow), artificial intelligence, deep learning or natural language processing. Bonus points if you have + 5 years of experience with programming languages such as Python, C++, or Java. + 5 years of experience with machine learning frameworks ( e.g. Pytorch , TensorFlow), artificial intelligence, deep learning or natural language processing. + 2 years of experience in conducting research in machine learning, natural language processing or computer vision. + Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related field s Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards) Role Location Annual Salary Range California $93,400 to $258,500 Colorado $93,400 to $223,300 District of Columbia $99,500 to $237,800 New York $86,500 to $258,500 Maryland $86,500 to $206,800 Washington $99,500 to $237,800 #LI-NA-FY25 What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce) Equal Employment Opportunity Statement Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) . Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

Description: We're looking for passionate and experienced Research Engineers to become an integral part of our research team. The ideal candidate will have a strong background in machine learning, programming, and applied research. This is an incredible opportunity to join an experienced founding team who have collectively raised $1bn+ in capital across several previously successful ventures and lead AI Research within the business. In this role, you will collaborate with a small team of talented researchers and engineers on exciting new projects in program synthesis and code transpilation, blending formal methods and modern deep learning architectures like graph neural networks and large language models. Core Responsibilities: <ul> <li>Design methods, tools, and infrastructure to push forward the state of the art in program synthesis.</li> <li>Define research goals informed by practical engineering concerns.</li> <li>Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.</li> <li>Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, GPU, and cloud training infrastructure).</li> <li>Work with a distributed team.</li> <li>Contribute to publications and open-sourcing efforts.</li> </ul> Requirements Required Qualifications: <ul> <li>Bachelor's degree in Electrical Engineering, Computer Engineering, or a closely related field, or equivalent professional experience.</li> <li>At least 1+ years in an applied research or development role focusing on machine learning and deep learning.</li> <li>Strong understanding of machine learning techniques.</li> <li>Proven track record of developing, scaling, and deploying machine learning models, particularly in a cloud or distributed computing environment.</li> <li>Programming experience in Python and hands-on experience with frameworks such as PyTorch.</li> <li>Familiarity with software engineering best practices, including version control (Git), code reviews, and continuous integration/deployment (CI/CD).</li> </ul> Preferred Qualifications: <ul> <li>Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li> <li>Direct experience in generative AI or code generation.</li> <li>First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).</li> </ul> Benefits <ul> <ul><li>Competitive salary and benefits including:</li></ul> <ul> <li>Health Care Plan (Medical, Dental & Vision)</li> <li>Retirement Plan (401k, IRA)</li> <li>Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays)</li> <li>Flexible hybrid work arrangement</li> <li>Relocation assistance for qualifying employees</li> </ul> </ul> If you are passionate about machine learning and applied research, and looking to make a significant impact, we would love to hear from you. Apply now to join our innovative team! <ul><li>Relocation assistance for qualifying employees</li></ul>

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Research Engineer Jobs in Boston, MA

Intern Research Engineer Life SciencesNovember 17, 2024

Machine Learning Research EngineerNovember 13, 2024

Senior Machine Learning Research EngineerNovember 6, 2024

Research EngineerNovember 5, 2024

Remote Research Engineer Blockchain ToposwareNovember 4, 2024

Senior Research Engineer OpticsNovember 3, 2024

Advanced Ai Research EngineerOctober 28, 2024

Research EngineerOctober 25, 2024