Monday, September 9, 2024
Senior Data Scientist
Blue Sarah
Location
Remote
Job Type
Full-Time

Website: https://www.bluesarah.ai/

LinkedIn: https://www.linkedin.com/company/blue-sarah-inc/

POC: careers@bluesarah.com

Blue Sarah is hiring! Do you want to work in a fast-paced, high-growth tech company working

with some of the biggest brands in fashion and footwear? Are you a Data Scientist looking to

get in on the ground floor of an AI strategy?

About Us: Blue Sarah is an ai-powered co-pilot on its way to being an agent. Our goal is to reinvent the

modern shopping experience. We are starting by aggregating and analyzing third-party consumer

reviews, which we then offer to brands and retailers, so they can learn what consumers are thinking about

their products in real time. Our aim is to decrease consumer returns and to increase speed-to-market on

new product development. We are looking for talented, collaborative, self-starters to join our dynamic

team and contribute to designing engaging and intuitive digital products.

Job Title: Senior Data Scientist

Location: Remote

Responsibilities include:

· Data mining or extracting usable data from valuable data sources

· Using machine learning tools to select features, create and optimize classifiers

· Carrying out preprocessing of structured and unstructured data

· Enhancing data collection procedures to include all relevant information for developing

analytic systems

· Processing, cleansing, and validating the integrity of data to be used for analysis

· Analyzing large amounts of information to find patterns and solutions

· Developing prediction systems and machine learning algorithms

· Presenting results in a clear manner

· Proposing solutions and strategies to tackle business challenges

· Collaborating with Blue Sarah’s Business and IT teams

Skills:

· Entrepreneurial Mindset.

· Programming Skills – knowledge of statistical programming languages like Python, and

database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java,

or C++ helpful.

· Statistics – Good applied statistical skills, including knowledge of statistical tests,

distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics

required.

· Machine Learning – good knowledge of machine learning methods like k-Nearest

Neighbors, Naive Bayes, SVM, Decision Forests.

· Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the

fundamentals of Multivariable Calculus and Linear Algebra are important, as they form

the basis of many predictive performance or algorithm optimization techniques.

· Data Wrangling – proficiency in handling imperfections in data.

· Experience with Data Visualization Tools like matplotlib, ggplot, d3.js, plotly, any tableau

which help to visually encode data

· Excellent Communication Skills – must be able to communicate findings and

recommendations to both technical and non-technical audiences.

· Strong Software Engineering Background

· Hands-on experience with data science tools

· Problem-solving aptitude

· Analytical mind and great business sense

· Degree in Computer Science, Engineering or relevant field is preferred

· Proven Experience as Data Analyst or Data Scientist

Competitive compensation and benefits package, including healthcare and generous

vacation package.

Tuesday, August 13, 2024
Vice President of Engineering
Location
Remote, Anywhere in the US
Job Type
Full-Time

Job Title: Vice President of Engineering

Location: Remote, Anywhere in the US

Summary:  You are a strong software leader and architect with hands on development capabilities driven by bringing ideas-vision-strategy to life. In your mind, there's no task or feature that's impossible, and you always find a way to deliver on the company's technical vision.  You speak Front End, Back End, UI/UX, and everything in between. You stay in tune with AI/ML and data science advancements and are eager to lean in and learn. You are an expert level software architecture and engineer and are excited to roll up your sleeves when needed. You understand the necessity of being lean, especially in the early days, so you're always keeping an eye out for ways to keep things more cost-effective without sacrificing quality. You've got the software development lifecycle experience to help build a highly effective software engineering capability that delivers the undeniable value that we aim to provide. Lastly, the teams you manage truly enjoy working for you because you understand that leadership has nothing to do with a title. If you're ready to build a platform that will make a noticeable impact in people's lives rather than just giving lip service to "making a difference", see the details below, apply, and let’s talk! 

At Narratize, you will oversee the entire technology lifecycle, aligning the technology strategy with the business goals and vision, and helping us deliver a first in its class AI platform for innovations. Your expertise will be instrumental in driving the growth of Narratize and the future of AI-driven innovation.

In this role you will:

  • Develop and implement a comprehensive software and systems architecture to support the company's goals and objectives.
  • Drive innovation in the application of generative AI platforms, including NLP, industry and domain-specific models, and workflows tailored to the unique needs of our clients.
  • Oversee the development and maintenance of software engineering systems to support data analysis, modeling activities, and AI development.
  • Closely collaborate with organization leadership to align engineering systems, features, and capabilities to both the product and technology strategies: ensuring seamless integration of cutting-edge technology into product development and innovation processes.
  • Collaborate with cross-functional teams to identify opportunities for leveraging technology to drive business value and inform decision-making.
  • Engage directly in software development activities and other activities needed to implement the technology strategy and architecture.   
  • Build, lead and mentor a team of software engineers over time, fostering a culture of excellence, innovation, and ownership in alignment with Narratize’s values. 
  • Stay abreast of the latest trends and advancements in software engineering and building solutions on AI and gen AI platforms, identifying opportunities for applying emerging technologies to ensure our platform delivers value and remains at the forefront of innovation.
  • Communicate key insights and technological advancements to stakeholders across the organization to drive date-driven decision-making.
  • Ensure compliance with relevant data privacy and security regulations, implementing best practices for data governance and technology management in AI-driven content generation.

What We’re Looking For

  • Significant experience ( 7+ years) in software architecture and personally building digital products from early-stage through to scaling and maturity, displaying proactive leadership and problem-solving skills. 
  • Deep knowledge of full-stack modern development practices (ex: DevOps, APIs) and practical application of knowledge in product development.
  • Ability to think strategically, holistically, and architecturally about how generative AI and predictive analytics can be used to drive business value, with relentless focus on the end customer and how we are solving their problems.
  • Possesses strong business acumen, capable of making decisions that align with the broader business context and requirements. 
  • Comfortable collaborating, debating, and committing to decisions with colleagues and leadership.
  • Strong communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.

What We’d Also Love to Find 

  • Expertise in machine learning, statistical analysis, and data mining techniques, with hands-on experience building, training, fine-tuning, and deploying predictive models, including transformer-based LLMs.
  • Proficiency in Python and experience with data manipulation and analysis libraries such as scikit-learn, PyTorch, or TensorFlow.
  • Experience working with large and complex datasets, and knowledge of data management.

Requirements

  • Bachelor’s Degree in a quantitative field such as computer science, engineering, or related field.
  • Minimum of two years managing, mentoring, and inspiring engineering teams. 
  • Previous oversight of department budget, with clear objectives, results, and aligned budget and project progress.

Benefits include: 

  • Equity
  • Medical, Dental, and Vision coverage offered
  • Flexible schedule / remote work
  • Family-friendly policies 
  • Open paid time off
  • Paid parental leave

About Narratize: Narratize combines the power of storytelling with cutting-edge generative AI technology to ensure that no great idea is left untold. From optimizing R&D processes to scaling product launch, Narratize empowers brands with transformative ideas to unleash their full potential. 

Why Narratize: At Narratize, you will be part of a forward-thinking team at the intersection of AI and creativity. As the CTO, you will be joining a collaborative and driven leadership team, who expects strong results, and respects that we all have diverse needs and dimensions - in and out of work. We believe that as people, we are a culmination of our experiences, that because of our experiences we all have stories. They are what build into our identities--who we are, who we become, and how we make a difference.

We offer a collaborative and stimulating work environment where your ideas and expertise will be valued. Join us in revolutionizing the way innovators leverage AI to shape the future of content generation and storytelling.

If you are passionate about startups, technology, AI innovation, and pushing the boundaries of what's possible, we encourage you to apply and be a driving force behind Narratize's mission.

Tuesday, May 7, 2024
Machine Learning Research Scientist
Location
EMEA/NORAM (Remote)
Job Type
Full-Time

About Metaphysic

Metaphysic is the industry leader in developing AI technologies and machine learning research to create photorealistic content at internet scale. We were recently named TIME100 Most Influential Companies for 2023 and are focused on the ethical development of AI to support the genius of human performance. We're run by experienced founders and backed by some of the top investors in the world. We’re only just getting started in defining the next generation of content creation. Join our fast growing team and help bring our groundbreaking vision to life.

 

Job Description:

As a Machine Learning Research Scientist at Metaphysic, you will be instrumental in advancing the boundaries of AI-driven content creation while upholding our unwavering commitment to ethical AI practices, particularly in the domain of Hyperrealistic Content Generation.

 

Location: EMEA/NORAM (Remote)

 

Key Responsibilities:

  • Cutting-Edge Research: Lead innovative research initiatives in the field of artificial intelligence, with a focus on advancing AI applications in Hyperrealistic Content Generation, including but not limited to body swaps, face swaps, and deepfakes.
  • Model Development: Drive the development of state-of-the-art deep learning models for Hyperrealistic Content Generation, harnessing the power of PyTorch and other relevant tools.
  • Publication and Collaboration: Contribute to the scientific community through publication in renowned conferences and journals. Collaborate closely with cross-functional teams to integrate AI technologies into various applications, such as virtual and augmented reality.
  • Coding Excellence: Demonstrate your coding prowess by creating clean, efficient, and well-documented code for implementing and optimizing machine learning models. Leverage Python and data science libraries to achieve exceptional results.
  • Model Evaluation: Rigorously evaluate model performance, fine-tune algorithms, and ensure the robustness and efficiency of AI applications in real-world scenarios.

 

Qualifications:

  • Educational Background: Hold a Ph.D. or equivalent in a relevant field such as Computer Science, Machine Learning, or Data Science, accompanied by a strong research foundation.
  • Fundamental Knowledge: Demonstrate a profound grasp of the fundamentals and the latest developments in relevant areas of machine learning, deeplearning, and generative AI.
  • Extensive Experience: Possess over 5 years of hands-on experience in ML research and ML systems. Experience with Generative AI techniques, such as GANs, Auto Encoders, Transformers, and Diffusion Models for Image or video Generation.
  • Deep Learning Mastery: Exhibit profound expertise in deep learning, encompassing a comprehensive understanding of neural network architectures, optimization techniques, and advanced training methodologies, including clip-stable diffusion models, and their role in advancing the field of Hyperrealistic Content Generation.
  • Coding Proficiency: Demonstrate proficiency in Python. Possess familiarity with key data science libraries (NumPy, Matplotlib, Scikit-learn, Pandas, PyTorch or Tensorflow).
  • Research Experience: Be well-versed in the field of Data Centric AI and data augmentation techniques, particularly in the time series domain.
  • Innovation Enthusiasm: Display a passion for pushing the boundaries of technology, applying research to real-world scenarios, and driving creative AI solutions in Hyperrealistic Content Generation.
  • Collaborative Spirit: Thrive in a multidisciplinary team environment, collaborating effectively with engineers, researchers, and developers.
  • Model Interpretability: Familiarity with model interpretability techniques and tools to explain model predictions and ensure transparency.

 

As part of our team, you’ll enjoy:

  • The hustle of a startup with the impact of a global business.
  • Tremendous opportunity to join one of the best and fastest growing AI companies in the world.
  • Working with an extraordinary team of smart, creative, fun and highly motivated people.
  • You will be joining a fantastic culture & a team, all highly supportive, collaborative, transparent and are all very passionate about our tech and mission.
  • Flexible working hours, including remote working - this role is solely remote :)

 

Metaphysic is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Wednesday, April 10, 2024
Machine Learning Engineer
Location
Toronto/Remote
Job Type
Full-Time

Machine Learning Engineer (Toronto / Remote)

 

About Agnostiq

Agnostiq is a Toronto based startup developing software with a mission to democratize access to the world’s most advanced computing resources. Agnostiq is the team behind Covalent, an open source distributed computing platform built for AI and HPC. 

 

Your Role 

 

As a Machine Learning Engineer specializing in Large Language Models (LLMs) at Agnostiq, you will play a pivotal role in developing and enhancing our AI-driven solutions. With a strong emphasis on LLMs, you will focus on the training and tuning of these models to achieve unprecedented levels of performance and efficiency. This position requires a deep understanding of machine learning principles, particularly in the context of natural language processing and generation. Due to our startup nature, the candidate must be comfortable initiating and taking on new projects independently and with limited supervision.

 

 

Key responsibilities

  • Research and implement cutting-edge techniques to improve the efficiency, accuracy, and scalability of LLMs using Covalent Cloud and leveraging high performance computing 
  • Continuously evaluate and integrate the latest advancements in machine learning and LLM research to maintain Agnostiq's technological edge in thought leadership when it comes to leveraging HPC.
  • Lead the development and optimization of open-source and proprietary Large Language Models, focusing on innovative training and fine-tuning strategies.
  • Contribute to the creation of technical documentation, including technical papers and conference material, blog posts, model architectures, training procedures, and performance analyses, to foster knowledge sharing within the team and the broader AI community.

 

 

Required Technical & Professional Expertise

  • MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a focus on Large Language Models.
  • Demonstrated experience in developing, training, and fine-tuning LLMs, with a solid understanding of underlying algorithms and architectures.
  • Proficiency in programming languages and frameworks commonly used in machine learning, such as Python, TensorFlow, and PyTorch.
  • Strong analytical and problem-solving skills, with the ability to work on complex problems and drive projects to completion.
  • Excellent communication skills, capable of collaborating effectively with cross-functional teams and presenting complex technical details clearly and concisely.

 

Nice-to-haves:

  • Experience with quantum machine learning or an interest in exploring the intersection of quantum computing and LLMs.
  • Contributions to open-source projects or published research in relevant areas of machine learning, natural language processing, or artificial intelligence.
  • Familiarity with cloud computing environments and tools that support machine learning workflows, such as AWS SageMaker, Google Cloud AI Platform, or Azure Machine Learning.

 

Agnostiq is based in Toronto, Canada, but we are committed to hiring the best talent available anywhere in the world. This position offers the flexibility to work remotely, in person, or a hybrid arrangement. If you are passionate about pushing the boundaries of machine learning and quantum computing, we'd love to hear from you. Please reach out to us at careers@agnostiq.ai with your resume (academic CVs welcome) to apply for this role.

If you are interested in learning more about this role, please feel free to contact us directly at contact@agnostiq.ai.

Friday, November 3, 2023
Data Scientist
Location
Remote
Job Type
Full-Time

We are seeking a highly skilled and innovative Data Scientist to join our dynamic Product Team at Narratize. As our first dedicated Data Scientist hire, you will play a pivotal role in advancing our generative AI technology. You will lead our data science efforts, working closely with a talented cross-functional team to enhance and develop novel AI solutions for content generation. Your expertise will be instrumental in shaping the future of AI-driven creativity and innovation.

 

Key Responsibilities:

  • Develop pragmatic ways of integrating, mining and visualizing diverse, high dimensional and poorly curated data sets.
  •  Develop and implement state-of-the art algorithms and methodologies for generative content creation.
  •  Oversee data collection, processing, and annotation efforts to enhance our training datasets.
  •  Evaluate and select appropriate tools and technologies to support data science initiatives.
  • Stay up-to-date with the latest advancements in AI and data science, ensuring that our technology remains at the forefront of innovation.
  •  Collaborate closely with cross functional teams to define and refine our data strategy and AI solutions that align with Narratize’s strategic goals.
  •  Participate in thought leadership activities, such as publishing research papers and presenting at conferences.
  • Leadership in modeling, technology, technical product development / design, and technical product ownership.

 

  • Potential Growth Trajectories
    • Build, lead and mentor a team of data scientists and researchers, fostering a culture of excellence and innovation. 
    • Conduct advanced research in natural language processing (NLP), machine learning, and deep learning to drive AI solution improvements.

 

Qualifications:

  •  Expertise in NLP, machine learning, and deep learning techniques.
  •  Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar.
  •  Strong problem solving skills and a track record of delivering innovative solutions.
  •  Prior experience in the development of AI driven applications is a plus.
  • Technical skills, collaboration abilities, an entrepreneurial spirit, a drive for results, and adaptability across a wide group of stakeholders are core competencies essential to success in this role.   

 

About Narratize: Narratize combines the power of storytelling with cutting-edge generative AI technology to ensure that no great idea is left untold. From optimizing research & development processes to scaling product launch, Narratize empowers brands with transformative ideas to unleash their full potential.

 

Why Narratize: At Narratize, you will be part of a forward thinking team at the intersection of AI and creativity. We offer a collaborative and stimulating work environment where your ideas and expertise will be valued. Join us in revolutionizing the way innovators leverage AI to shape the future of content generation and storytelling.

 

If you are passionate about data science, AI innovation, and pushing the boundaries of what's possible, we encourage you to apply and be a driving force behind Narratize's mission.

Thursday, June 22, 2023
Machine Learning Engineer
Vana
Location
Remote
Job Type
Full-Time

Current projects they might be working on: 

  • Creating a proof of concept for a personalized chatbot using GPT-3

  • Reducing the training time for our Stable Diffusion model deployment

  • Working with our backend engineers to expose Stable Diffusion fine-tune training and inference via the Vana API

Future roadmap/vision: 

At Vana, users come to create, share, monitor, and manage AI models trained on their Digital Self. Identity has taken on new meaning in the fast paced world of Generative AI. Vana is the entry point for Users to explore what their AI likeness is capable of, as everything from video games to social media to business becomes transformed and personalized to a degree we’ve never seen. Our AI needs to be cutting edge, and our Users need to know that we have their back every step of the way. 

You Will: (Responsibilities)

  • Create proofs of concept for different product ideas enabled by Generative AI technology

  • Investigate emergent generative AI technologies for inclusion in the Platform

  • Build text, image, and video input and output processes to increase the quality and safety of the generative AI algorithms

  • Build pipelines to execute deep learning inference and training requests. 

  • Benchmark and optimize ML infrastructure for performance and cost.

Minimum Qualifications:

  • Bachelor’s Degree in Computer Science or related field

  • 4+ years of professional experience in ML/AI.

  • Proven ability to ship end-to-end solutions for ambiguous problems using ML with specific emphasis on discovering and prototyping solutions

  • GCP, AWS, Azure, or equivalent cloud machine learning platform experience

  • Proven ability to deploy ML models to the cloud to rapidly iterate on new features or apps

Preferred Qualifications:

  • Previous experience with Generative AI

  • Experience with Vertex AI and Google Cloud Platform

  • Experience in a startup environment

What we offer
We are building a foundational piece of the user-owned internet and would love for you to be a part of our team. We are a diverse group of driven, smart, and ambitious individuals, constantly challenging each other to grow, learn and iterate faster. We are experts across our fields and experienced entrepreneurs looking to scale our success in something deeply mission-driven.

For more information, see our Vana Hiring FAQ [External]

At Vana, we are big on collaboration and supporting each other to learn, grow, and excel in our individual pursuits. In addition to joining the Vana family, the successful candidate will receive: 

  • A competitive base salary, plus equity. The salary range for this position is $140,000 - $220,000.

    • Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance.

  • A generous benefits package including health insurance, dental, vision & wellness plan

  • Flexible work schedule

  • Unlimited PTO

 

Thursday, October 13, 2022
ML - Researcher
Location
Princeton, NJ
Job Type
Full-Time

DESCRIPTION

The Machine Learning Department has openings for researchers with a passion for developing the next generation of machine intelligence. Expertise in machine learning with a proven track record of original research are prerequisites for this position.

The Machine Learning Department has been at the forefront of research in such areas as deep learning, support vector machines, and semantic analysis for almost two decades. The research in our department has been published in premier venues and has won numerous awards, including the 2010 IEEE Neural Networks Pioneer Award, the 2012 IEEE Frank Rosenblatt Award, the 2012 Benjamin Franklin Medal, the 2013 NEC C&C Prize, ICML 2018 Test of Time Award, and NeurIPS 2018 Test of Time Award. A lot of our research has been translated into NEC’s businesses, leading to innovative products and services of NEC, such as semantic analysis of job applications and product reviews, accident prevention, anomaly detection, and digital pathology.

Currently our department is tackling challenges in imparting abstract reasoning capabilities to machine learning and facilitating effective human-machine collaboration, and how these enable new applications in sustainable environment, smart manufacturing, safe cities, natural language processing, and personalized healthcare.
https://www.nec-labs.com/research/machine-learning/home/

POSITION REQUIREMENTS
• PhD in computer science, electrical engineering, statistics, or equivalent
• Research experience in machine learning with strong publication record
• Strong algorithm and numeric computation background
• Programming experience in Python, C/C++, or other languages
• Experience with deep learning libraries and platforms a plus, e.g. PyTorch, TensorFlow

We also have summer/fall internships available: https://www.appone.com/MainInfoReq.asp?R_ID=4955548
 

Wednesday, October 12, 2022
Staff Engineer/Senior Engineer
Location
US or Taiwan
Job Type
Full-Time

MediaTek Incorporated (TWSE: 2454) is a global fabless semiconductor company that enables nearly 2 billion connected devices a year. We are a market leader in developing innovative systems-on-chip (SoC) for mobile device, home entertainment, connectivity and IoT products. Our dedication to innovation has positioned us as a driving market force in several key technology areas, including highly power-efficient mobile technologies, automotive solutions and a broad range of advanced multimedia products such as smartphones, tablets, digital televisions, 5G, Voice Assistant Devices (VAD) and wearables. MediaTek empowers and inspires people to expand their horizons and achieve their goals through smart technology, more easily and efficiently than ever before. We work with the brands you love to make great technology accessible to everyone, and it drives everything we do. Visit www.mediatek.com for more information.

 

Job:

Staff Engineer/Senior Engineer

 

Location:

US or Taiwan

 

Job Type:

Full Time

 

The Opportunity: Top-Notch Talent Program

MediaTek is inviting talents around the world to join our technical breakthrough for the next decade. Through this channel, you are given the opportunity to design your job assignments with your supervisor. Furthermore, with a customized individual development plan for at least two years, it is ensured that you will get your moment to shine sooner than your peers! If you have the ambition to unlock the challenge of the most advanced and innovative technology. Apply now!

 

 

As a staff engineer/senior engineer through MediaTek's top-notch hiring program, you are expected to bring innovation to the company. This role is responsible for advanced technology research and development. We provide training, and a co-work buddy to help you adjust and settle in during the beginner period. You will start as a researcher, and brought into tasks and projects with time, and soon, you will start leading to deliver projects that span across one or more business units. You will make proposals based on your expertise and creativity, and it is important that your ideas matched our business focus and core values, and you have the key knowledge and skills to support your ideas to land. You will play a part in helping the company to further excellence. With the resources provided by MediaTek, the world is your oyster.

 
Responsibilities:

  • Keep up with latest academic research/breakthrough and share information with the team.
  • Analyze technical development in the industry and develop extensive knowledge for interdisciplinary application.
  • Propose innovative ideas and provide key skills in leading this proposal to success.
  • Define success criteria. Provide status report regarding milestones, estimates/deliverable, risks and issues. 
  • Deliver appropriate and effective executive level communication.
  • Navigate interdependencies between technology, operations and business needs towards the benefits of project succeeding.
  • Motivate all stakeholders and gain support to realize your vision.

Qualifications:

  • EE/CS major, or other majors with a transcript showing the record of EE/CS requirements accomplished.
  • Fresh PhD with no industry work experience.
  • GPA from all degrees are 3.8 above out of 5.0 grading scale.
  • Strong research publication record from top journals/conferences.
  • Honorable advantages, such as top 3 winner of national contests, winner of Best Student, and etc., or with hold of an identity recognized by academia and industry, such as National Scholar, SRC Scholar, Google Scholar, and etc.
  • Proven personal qualities of resilience and grit.

 

Field:

Architecture, Machine Learning, Deep Learning, Software Engineering, Product and Technology

 

Application:

Please contact Lana Hsu (lana.hsu@mediatek.com) at MediaTek directly with your resume.

 

 

 

 

Monday, October 3, 2022
AI Researcher JS 5
Location
Santa Clara, CA
Job Type
Full-Time

Our Exciting Opportunity:

Ericsson Research is looking for highly motivated and hardworking Artificial Intelligence Researchers, bringing AI & Machine Learning to mobile networks.

As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark! When joining our team at Ericsson you are empowered to learn, lead and perform at your best, crafting the future of technology. This is a place where you're encouraged as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team.

Come, and be where it begins.

 

 

You will:

Be pushing technology frontiers, combining machine learning and reasoning methods, tools, and techniques to drive intelligent autonomous operations in large complex telecom systems. If you:

  • Are well acquainted with the scientific method and publish your results in scientific conferences or journals.
  • Wish to apply those skills to tackle real and complex problems with high societal impact.
  • And aim to inspire and lead research for the future 6G, IoT and Cloud systems.

 

To be successful in the role you must have:

  • PhD in Computer Science or any related technical field (candidates with equivalent practical work experience will be considered).
  • Strong programming skills in Python, Java, or C/C++.
  • Experience in applying AI and ML techniques (reinforcement learning, explainable inference, graph-based learning) on large distributed tabular datasets
  • Understanding of the AI open-source communities and practical experience with some of them such as scikit-learn, TensorFlow, pytorch, pandas, Spark, ray/gym, etc.
  • Ability to scope, follow and execute on a research agenda

 

Additional qualifications:

  • Publication record in AI (including machine learning applied to wireless technologies, distributed AI multi-agent systems) or related fields
  • Active participation in open-source communities related to AI
  • Experience with telecom industry and standards
Friday, August 12, 2022
Data Scientist
Massive Dynamics
Location
Princeton, NJ
Job Type
Full-Time

At Massive Dynamics, we work on a wide range of problems: consumer sales, supply chain optimization, and pharmaceutical applications. Our capabilities and frameworks have a wide spectrum of applications. We have developed advanced technology and algorithms to uncover complex patterns and relationships, which may be subtle and deeply hidden in the data. Our goal is to help large enterprises with their Big Data challenges. Our team comprises a unique blend of scientists, applied mathematicians, and industry practitioners. We are passionate about what we do and have great colleagues!

 

We are looking for Data Scientist who is a self-starter and eager to contribute to a team of problem solvers.

Responsibilities

  • ETL and data analysis (including scalable and complex techniques)
  • Prototype solutions
  • Data visualization and generating actionable insights
  • API knowledge and web application frameworks are a plus

Qualifications

  • PhD in quantitative field
  • 1 - 2 years of experience in quantitative data analytics and/or numerical modeling
  • Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
  • Fluency in programming languages (Python, C, C++, R, SQL) and object-oriented programming. Deep Knowledge of Python packages is highly desired.
  • Knowledge of optimization methods and optimization algorithms is a plus.
  • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau, PowerBI)

 

We offer health, dental, vision benefits.