Experience Requirements:

• 4+ Years Exp.

• Programming Languages: Python, R, or Java

• Data Analysis and Modeling: sci-kit-learn, TensorFlow, PyTorch

• Database and Data Manipulation: Big data technologies like Apache Spark

• Data Visualization: Tableau, Matplotlib, or Seaborn.Data Engineering: Understanding of data pipeline architecture and development.Machine Learning Deployment: Knowledge of deploying machine learning models into production. | Docker

Responsibilities:

• Data Science Engineer I - Analyze data, drive insights, and innovate solutions

Benefits:

• Flexible working arrangement remotely or hybrid

Education Requirements:

• Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, or a related field

Experience Requirements:

• 3+ years of experience in data analysis, preferably within ESG or Sustainability domain

Other Requirements:

• Proficiency in data analysis tools such as Python, R, or SQL

• Experience with data visualization tools like Power BI, Tableau, or equivalent

• Strong statistical knowledge and the ability to interpret complex data sets

• Excellent communication skills with the ability to translate data insights into business recommendations

• Ability to work both independently and as part of a team

Responsibilities:

• Perform detailed analysis on structured and unstructured datasets to identify trends, correlations, and insights

• Work closely with cross-functional teams to understand data requirements and business objectives

• Use statistical techniques to interpret and visualize data trends

• Generate reports and dashboards to communicate findings to stakeholders

• Identify and suggest improvements in data collection, reporting, and analysis processes

Benefits:

• Flexible working arrangement remotely or hybrid

Experience Requirements:

• 1-3 years experience working with data, and coding experience in R/Python (including relevant internship experiences)

Other Requirements:

• Are comfortable with open ended challenges and finding creative solutions

• Are interested in ESG, cultural shifts and the digital landscape

• Have the drive to learn and master new technologies and techniques

• Have strong written and communication skills (English), especially in the multidisciplinary team

Responsibilities:

• Develop models and analytical frameworks designed for the sharpest insights and professionals in the world, helping them priorities the ESG issues that matter most to their business and spot where the next big opportunities and change will come from

• Aggregate information from open data sources and third party data

• Build a complete picture of sustainability performance using search, social & alternative data sources

• Projects run end-to-end: from dataset design, to data gathering, aggregation, cleaning, modelling and visualization

Experience Requirements:

• Excellent skills in research, writing and communications

• Time management and organizational skills

• Vision for corporate design addressing both consumer and business segments

• Passionate about learning and identifying creative materials

Other Requirements:

• Proactively suggest new inputs and ideas in digital assets for sustainability themes

• Detail-oriented, dependable, and organized

Responsibilities:

• Shape product vision in partnership with product, CEO, and data scientist

• Be subject matter expert on regulator and voluntary sustainability requirements for team and customers globally

• Support build of sustainability specific requirements in partnership with product team

• Support business development, investor pitches and proof of concepts with sustainable finance expertise

• Be face of company and develop sustainability thought leadership in tandem with CEO

Benefits:

• Medical/Dental/Vision, 401K match, PTO, and federally recognized holidays

• Competitive salaries with performance incentives

• Generous vacation policy and paid holidays

• Comprehensive health, dental, and vision insurance

• 401(k) with company match

Education Requirements:

• Bachelor's in Intelligence Studies, Computer Science, Data Analytics, or a related field, or an Associate degree with significant operational experience

Experience Requirements:

• At least five years in intelligence analysis within the U.S. intelligence community, preferably with exposure to military or other intelligence sectors

Other Requirements:

• U.S. Citizenship with Top Secret/SCI Clearance

• Must meet ICD 704 eligibility criteria without waivers or conditions

• This role requires a commitment to maintain a Final TOP SECRET SCI Clearance. Dual citizenship is not permitted, and the position mandates sole U.S. citizenship, following strict federal compliance guidelines

Responsibilities:

• bring your sharp analytical skills and extensive intelligence experience to fortify our operations

• be stationed at our client site in Camp Springs, MD, leveraging your expertise in intelligence analysis to navigate complex data landscapes

• Your role will be pivotal in synthesizing actionable insights from varied intelligence sources, including cybersecurity and border security sectors

Education Requirements:

• Currently pursuing a degree in Sports Management, Statistics, Mathematics, Data Science, Economics, or a related field. Recent graduates may also be considered

Experience Requirements:

• Strong proficiency in data analysis tools such as Excel, R, Python, and SQL. Familiarity with sports analytics platforms is a plus

• Basic understanding of statistical techniques (regression analysis, correlation, hypothesis testing, etc.)

• Passion for sports and understanding of various sports

• Excellent communication skills, both written and verbal, with the ability to convey complex data findings in an easy-to-understand format

• Strong attention to detail and problem-solving skills

Responsibilities:

• Assist in gathering and organizing data from various sources, including game statistics, player performance data, and historical records

• Maintain and update databases to ensure accuracy and reliability of information

• Help with cleaning and preprocessing raw data to make it suitable for analysis

• Analyze sports data using statistical methods and software (e.g., Excel, R, Python, SQL, etc.) to generate insights about player performance, team dynamics, and other relevant metrics

• Support the creation of visualizations (charts, graphs, dashboards) to present data findings in a clear and understandable way

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD in Computer Science, Statistics, or a related field

Experience Requirements:

• Strong publication record in top machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV)

• Expertise in one or more of the following areas: natural language processing, computer vision, reinforcement learning

• Experience with training, evaluating, or interpreting large language models

• Proven ability to design and execute independent research projects

• Excellent communication and collaboration skills

Responsibilities:

• Develop novel multimodal LLM architectures with a focus on memory

• Investigate post-training techniques for planning and reasoning

• Develop and evaluate applications of multimodal LLMs for personalized and agentic experiences

Education Requirements:

• PhD in Computer Science, or Machine Learning related field

Experience Requirements:

• Experience with people understanding/generation

• Experience working with VLMs

• Proven experience of ML frameworks such as TensorFlow/JAX

Responsibilities:

• You’ll be applying the most promising models and research to high-impact real world problems, by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity.

• You will gain an understanding of the path from research to production whilst working on real world problems, whilst working on real world problems, with the chance to see your work make a difference.

• Some of our current projects are focusing on multimodal human understanding and generation, including privacy preserving generation and misinformation prevention. Having relevant experience is highly beneficial.

• The responsibility includes model development (data, modeling and evaluation), research and prototyping.

Education Requirements:

• MSc or PhD/DPhil degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry

Experience Requirements:

• Proven knowledge and experience of Python or C++

• Deep foundational knowledge of machine learning and statistics

• Proven experience of JAX or similar ML frameworks (e.g. TensorFlow, PyTorch ) is highly desirable

• Experience pretraining, fine-tuning large, and/or applying RL to models

• Experience applying and productionizing state-of-the-art large visual, language and multimodal research

Responsibilities:

• You’ll be improving the most promising models and research as it relates to high-impact real world problems, by rapid-prototyping initial concepts and designing and running experiments.

• You will gain an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference.

• You’ll be embedded within a small project team of Research Engineers, and will be expected to drive the foundational research direction with the potential for significant impact in the short and long term.

Education Requirements:

• PhD in a relevant technical field or equivalent practical experience

Experience Requirements:

• Research and development experience in media generative and/or restoration models, including but not limited to audio, images, video, and language

• Experience coding in one of the following programming languages including but not limited to: Python, C or C++

Responsibilities:

• Research and development of new technologies for audio generative models including text-to-speech, audio restoration and separation, and music and environmental sound generation.

• Collaborate with other research scientists and engineers to implement prototypes for new products, and work with product groups in Google to identify and implement approaches that AI can be used to improve existing and/or create brand-new Google products.

• Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.

Benefits:

• 0.15% - 0.75%

Experience Requirements:

• 3+ years

Benefits:

• 0.1% - 1.5%

Experience Requirements:

• 3+ years

Experience Requirements:

• 8+ years of experience in data analysis

Other Requirements:

• Proactive, entrepreneurial, and collaborative

• Strong familiarity with tools like Adobe Analytics/Omniture, Mixpanel, Heap, Amplitude, Google Analytics 360, GA4, Google Search Console, Billing systems, etc.

• Experience with database analysis (SQL, R, Python, BigQuery, Snowflake, Airflow, etc.)

• Clear understanding of statistics, predictive analytics, and machine learning

• Experience in business analytics

Responsibilities:

• Work with clients to understand pain points and translate them into requirements for queries and models

• Design tables and views providing ongoing data in useful formats

• Identify key insights not being tracked and predicted in software

• Assist Dev and QA in ensuring accuracy and understandability of client deliverables

• Collaborate with design and development team to make adjustments to models, presentation layers, and queries

Education Requirements:

• A M.Sc. / Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experience

Experience Requirements:

• 3+ years of experience as a Data Scientist in non-academic settings, ideally with a focus on Large Language Models, NLP, or Speech Processing

Other Requirements:

• Proficiency in Python.

• Strong software engineering skills.

• Hands-on experience in modern generative AI models, prompt engineering, multi-agents, and RAG architectures.

• Experience in developing conversational systems.

• Productizing data labeling and validation pipelines, with external products (like Amazon SageMaker Ground Truth, Labelbox, Snorkel) or internally developed solutions

Responsibilities:

• Lead research initiatives to deliver product-driven experiences utilizing data science methodologies and cutting-edge AI technologies.

• Oversee the entire solution lifecycle — from breaking down product requirements into solvable problems to deploying production-quality solutions.

• Collaborate cross-functionally with product, customer success, BE and FS engineering teams to integrate scalable AI solutions into our app.

• Drive continuous improvement and innovation by defining and establishing metrics for evaluating model performance, including accuracy, bias, and real-time responsiveness

Benefits:

• Competitive Compensation

• Performance bonuses

• Comprehensive benefits

• Growth Opportunities

• Innovative Environment

Education Requirements:

• PhD or equivalent experience in speech technology, machine learning, or a related field

Experience Requirements:

• Proven track record of publishing in leading speech conferences such as Interspeech, ICASSP, etc.

• Hands-on experience with popular speech toolkits and frameworks

Other Requirements:

• Strong programming and algorithmic skills

Responsibilities:

• Lead and drive innovative research in the field of speech recognition, synthesis, and related technologies

• Collaborate closely with the R&D team to integrate research findings into Camb.ai's products

• Keep abreast of latest advancements in speech technology and continuously push for innovations in the field

• Publish research findings in leading conferences, journals, and workshops

Benefits:

• Competitive Compensation

• Performance bonuses

• Comprehensive benefits

• Growth Opportunities

• Innovative Environment

Education Requirements:

• PhD or equivalent experience in NLP, Deep Learning, or a related field

Experience Requirements:

• Experience with popular NLP toolkits and platforms

• Strong understanding of current challenges in language models and a passion for innovation

Responsibilities:

• Lead research in Language Model (LLM) development, focusing on innovations in zero-shot performance and colloquial translation

• Collaborate with other R&D teams to enhance the efficiency and capabilities of our foundational models

• Stay updated with the latest advancements in NLP and LLM

• Drive efforts for publishing the research in top-tier conferences and journals

Benefits:

• Unlimited paid time off

• Parental leave, for all parents

• Medical, dental and vision coverage

• Donations supporting our community

• Wellness stipend$600 annual wellness stipend can be used for anything from therapy sessions to gym memberships.$600 per year to spend on their personal or professional development.In addition a computer of choice, all employees receive a $500 stipend to customize their tech set up.Remote/Phone Stipend$250 USD per month for co-working spaces, internet and cellphone bills, lunches, and other related expenses. Employees within commuting distance can expense up to $50 per month for phone plan reimbursements.401k matchingWe provide a 3% 401K match for our US-based employees.$500 stipend to customize their tech set up

Experience Requirements:

• 5+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics

• Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow)

• Very strong programming skills and ability to write clean and maintainable research code

• Deep interest in building human-in-the-loop systems for creativity

• Ability to rapidly prototype solutions and iterate on them with tight product deadlines

Responsibilities:

• Develop innovative research projects in computer vision, focusing on generative models for image and video.

• Work with a world-class engineering team pushing the boundaries of content creation on the browser.

• Collaborate closely with the rest of the product organization to bring cutting-edge machine learning models to production.

Benefits:

• Unlimited paid time off

• Parental leave, for all parents

• Medical, dental and vision coverage

• Donations supporting our community

• Wellness stipend$600 annual wellness stipend can be used for anything from therapy sessions to gym memberships.$600 per year to spend on their personal or professional development.In addition a computer of choice, all employees receive a $500 stipend to customize their tech set up.Remote/Phone Stipend$250 USD per month for co-working spaces, internet and cellphone bills, lunches, and other related expenses. Employees within commuting distance can expense up to $50 per month for phone plan reimbursements.401k matchingWe provide a 3% 401K match for our US-based employees.$500 stipend to customize their tech set up

Experience Requirements:

• 4+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics

• Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow)

• Very strong programming skills and ability to write clean and maintainable research code

• Ability to rapidly prototype solutions and iterate on them with tight product deadlines

• Strong communication, collaboration, and documentation skills

Other Requirements:

• You must also be willing and able to work with sensitive content and situations that may be offensive, disturbing, or triggering

Responsibilities:

• Architect and develop systems for preventing abuse and improving guardrails in Runway’s generative models and tools.

• Work with a world-class engineering team pushing the boundaries of generative models and content creation.

Benefits:

• Unlimited paid time off

• Parental leave, for all parents

• Medical, dental and vision coverage

• Donations supporting our community

• Wellness stipend$600 annual wellness stipend can be used for anything from therapy sessions to gym memberships.$600 per year to spend on their personal or professional development.In addition a computer of choice, all employees receive a $500 stipend to customize their tech set up.Remote/Phone Stipend$250 USD per month for co-working spaces, internet and cellphone bills, lunches, and other related expenses. Employees within commuting distance can expense up to $50 per month for phone plan reimbursements.401k matchingWe provide a 3% 401K match for our US-based employees.$500 stipend to customize their tech set up

Experience Requirements:

• 8+ years of experience in machine learning and dataset engineering, focusing on large-scale, multimodal datasets

• Experience leading data strategies and partnerships at a senior level

• Expertise in data analysis, with practical experience in examining complex datasets

• Knowledge of data cost management and optimization techniques

• Understanding of current developments in dataset engineering and machine learning

Responsibilities:

• Establish and oversee data partnerships to obtain high-quality datasets for our AI models

• Develop data strategies that support Runway's product and research objectives

• Analyze our data ecosystem to find gaps and areas for improvement

• Work with external partners on new data projects

• Keep up with advances in dataset engineering and machine learning, applying new methods to our work

Benefits:

• Unlimited paid time off

• Parental leave, for all parents

• Medical, dental and vision coverage

• Donations supporting our community

• Wellness stipend$600 annual wellness stipend can be used for anything from therapy sessions to gym memberships.$600 per year to spend on their personal or professional development.In addition a computer of choice, all employees receive a $500 stipend to customize their tech set up.Remote/Phone Stipend$250 USD per month for co-working spaces, internet and cellphone bills, lunches, and other related expenses. Employees within commuting distance can expense up to $50 per month for phone plan reimbursements.401k matchingWe provide a 3% 401K match for our US-based employees.$500 stipend to customize their tech set up

Experience Requirements:

• 5+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics

• Expertise with programming such as Python, C++, CUDA, and deep learning frameworks such as TensorFlow and PyTorch. Very strong programming skills and ability to write clean and maintainable research code

• Deep interest in building human-in-the-loop systems for creativity

• Passion for seeing research through from initial conception to eventual application

• Experience mentoring and teaching other researchers

Responsibilities:

• Develop innovative research projects in computer vision, focusing on generative models for image and video.

• Build new computer vision pipelines for automating visual effects tasks (such as video segmentation, pinpointing, tracking).

• Work with a world-class engineering team pushing the boundaries of content creation on the browser.

• Collaborate closely with the rest of the product organization to bring cutting-edge machine learning models to production.