Other Requirements:

• Bilingual - Hindi/English

Benefits:

• Full-time employment

• Competitive remuneration package

• Equity in the company

• Dynamic working environment

• International team

Education Requirements:

• Degree in Computer Science, Data Science, Machine Learning/AI, Bioinformatics, or related field (Master's or PhD preferred)

Experience Requirements:

• Strong Experience in Natural Language Processing (NLP)

• Data preparation

• ML & Deep learning

• Experience in knowledge graphs and information retrieval

Responsibilities:

• Data preparation and feature engineering

• NLP and ML development

• Model evaluation and performance tuning

• Data pipeline development

• System optimization

Benefits:

• A career-defining opportunity to work on LLM features

• A chance to work with a dynamic and collaborative team

• Competitive compensation and benefits

• A supportive environment that encourages innovation and personal growth

Experience Requirements:

• 3+ years

Responsibilities:

• Hands-on work with LLMs, prototyping and refining features

• Generating practical specifications for engineering team

• Shaping product by generating specifications for impactful updates

Benefits:

• The opportunity to shape the data strategy of a growing company

• A role that balances analytics, reporting, and some data management

• A chance to work with a dynamic and collaborative team

• Competitive compensation and benefits

• A supportive environment that encourages innovation and personal growth

Experience Requirements:

• 3+ years

Responsibilities:

• Delivering analyses to guide decisions

• Creating updates in ELT pipeline

• Making new data accessible to the team

• Analyzing customer lifecycles

• Automating anomaly detection

Benefits:

• excellent benefits

• superior work environment

• equity participation

• salary commensurate with experience

Education Requirements:

• BS in a field related to Computational Linguistics

• Computer/Data Science

• Artificial Intelligence

• Linguistics

Other Requirements:

• Must be U.S. citizen capable of obtaining a Secret clearance

Responsibilities:

• Data analysis, development, maintenance and documentation

• Analyze data from languages worldwide

• Analyze variation in personal names

• Develop new data and data subsets

• Ensure data quality

Benefits:

• excellent benefits

• superior work environment

• equity participation

• salary commensurate with experience

Education Requirements:

• MS/PhD in Linguistics

Other Requirements:

• Must be U.S. citizen capable of obtaining a Secret clearance

• Preferred: advanced knowledge of a language using a common non-Roman script

Responsibilities:

• Data analysis, development, maintenance and documentation

• Analyze data from languages worldwide

• Analyze variation in personal names

• Develop new data and data subsets

• Ensure data quality

Benefits:

• Healthcare benefits

• Vacation plans

• 401k options

Education Requirements:

• BA/BS required

• MS or PhD encouraged

Experience Requirements:

• 3-5 years experience in a quantitative field

Other Requirements:

• Coding experience (Python preferred)

• Commitment to ethical AI

• Communication skills

Responsibilities:

• Identify, design, evaluate, and monitor AI models

• Craft AI and data governance practices

• Test model validation and bias mitigation

• Support efforts at intersection of technology and law

Benefits:

• Medical, Dental & Vision coverage

• 401(k) Plan

• Unlimited PTO

• Two annual company-wide, week-long breaks

• Flexible work environment

Benefits:

• Medical, Dental & Vision coverage

• 401(k) Plan

• Unlimited PTO

• Two annual company-wide, week-long breaks

• Flexible work environment

Benefits:

• Medical, Dental & Vision coverage

• 401(k) Plan

• Unlimited PTO

• Two annual company-wide, week-long breaks

• Flexible work environment

Benefits:

• Medical, Dental & Vision coverage

• 401(k) Plan

• Unlimited PTO

• Two annual company-wide, week-long breaks

• Flexible work environment

Benefits:

• Diverse and collaborative environment

• Opportunities to grow

• Work on cutting-edge technology

• Flexible working hours

• Autonomy and empowerment Attractive compensation with equity plan Fast-paced and agile culture Company events Remote working opportunities

Responsibilities:

• Take the initiative to set priorities and exceed goals

• Possess excellent leadership, communication and interpersonal skills

• Gain deep knowledge on the various functions of an AI based enterprise software company

Benefits:

• Stock options

• State RN/NP License and CME reimbursement

• Comprehensive health, dental and vision plans for your and your family

• Wellness benefits

• Competitive vacation policy

Experience Requirements:

• Experienced board-certified Nurse Practitioner licensed in multiple states (NY, CA, FL, NJ, NV preferred)

Other Requirements:

• Have a quiet work environment/office space with high speed internet connectivity.

• Ability to conduct clinical research with the data we collect

• Excellent communication skills

• Ability to work well in a team

• Personable

• Organized

• Excellent listening skills

• Helpful attitude

• Empathetic

• Detail oriented

• Excellent time management skills

• Strong multi-tasking skills

• Flexible and resourceful

Responsibilities:

• Asynchronously review the member’s medical history and conduct pre-scan telehealth consultations with patients to assess their health history, family history of cancer, and answer any clinical questions they may have.

• Review and generate medical orders for our members’ MRI scans, based on the consultations you hold with them.

• Review members’ radiology reports from their Ezra scans and prepare reports that translate the radiology results in layman’s terms, and provide actionable next steps per the radiologist’s report and evidence-based guidelines.

• Conduct post-scan telehealth consultations with members to communicate their results, and answer any questions they may have.

• Work with a collaborating physician in applicable states.

Benefits:

• Comprehensive global benefits package

• Generous paid time off leave

• Technology stipend

• Paid work trips

• In-person co-working stipend

Experience Requirements:

• Product-oriented mindset

• Experience leading research focused on data analysis

• Highly self-directed and passionate about AI research

• Excellent writing and presentation skills

• Comfortable with remote work

Responsibilities:

• Lead the process of preparing weekly data insights

• Build our data offering

• Take our data insights to the next level

• Help select what data we collect

Education Requirements:

• Bachelor's degree in machine learning related field (Physics, Mathematics, Computer Science, Data Science etc.)

• Master's degree in Physics, Computer Science or Mathematics (advantageous)

Experience Requirements:

• Some research experience in machine learning and computational statistics

• Experience in deep learning and computer vision (advantageous)

Other Requirements:

• Valid work permit for Switzerland

• Ability to work independently on complex projects

Responsibilities:

• Discuss relevant research questions with the team at the University of Palermo

• Analyze available sensor data

• Develop algorithms for extracting information from sensor data

• Plan future data collection campaigns

• Collect new data from the designed campaign and analyze it

Education Requirements:

• Bachelor's degree in machine learning related field (Physics, Mathematics, Computer Science, Data Science etc.)

Experience Requirements:

• Some experience in machine learning and deep learning at the Bachelor level

Other Requirements:

• Work permit for Switzerland or Swiss citizenship

Responsibilities:

• Collect images of volunteers using thermal and RGB cameras

• Process and prepare collected data for analysis

• Test deep learning models

• Conduct facial and body position analysis

• Collaborate with the project team to refine and optimize the prototype

Experience Requirements:

• 2 to 4 years of relevant industry experience

Other Requirements:

• Experience in Linear algebra, statistics & Probability skills, such as distributions, Deep Learning, Machine Learning

• Strong mathematical and statistics background is a must

• Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet

• Strong industry experience in using design patterns, algorithms and data structures

• Industry experience in using feature engineering, model performance tuning, and optimizing machine learning models

• Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib

• Experience in model building, hyper Skills:- Data Science, Python, Computer Vision and Deep Learning

Responsibilities:

• Analyze large amounts of raw information to find patterns that will help improve our company.

• Build data products to extract valuable business insights.

• Help our company analyze trends to make better decisions

Benefits:

• Remote-first

• Relocate if you want

• Platinum-tier insurance

• Stipends

• Unlimited PTO

Education Requirements:

• Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)

Experience Requirements:

• 5+ years of relevant experience in roles that require a strong statistical background day to day

Other Requirements:

• Experience designing machine learning models (data analysis, feature engineering, algorithm selection), and working with them in a production environment, using a language like R, Python or C++

• Excellent understanding of SQL concepts for data retrieval, cleaning and feature engineering

• Presentation and communication skills, diagrams as well as documents to explain deep concepts

Responsibilities:

• Create documentation for classical Machine Learning use cases on a brand new platform

• Educate early customers and help them formulate business problems as supervised learning problems

• Design statistical visualizations that provide insight across multiple data sets

• Guide UX to create interpretable model outputs, as well as avenues for model improvement

• Implement concepts in SQL, Python and Rust rather than Powerpoint

Education Requirements:

• PhD in Statistics, Computer Science, Computational Biology, Bioinformatics, Bioengineering, or a related field

• Masters in one of the above fields with 2+ years of experience in academia or industry

• BS with 4+ years in academia or industry

Experience Requirements:

• Experience in analysing and obtaining actionable insights from high throughput sequencing (HTS/NGS) data

• Knowledge in experimental design and experience working with teams in designing experiments

• Experience with language modeling, deep learning and related practical applications

Other Requirements:

• Experience with at least one of the following: Microsoft Azure Space/SpaceX, Python, Linux command line, Bioinformatics

• Experience with DNA repair pathway analysis

• Knowledge of precision and personalized medicine, drug repurposing and repositioning, multiomics including nutrigenomics and epigenomics, CRISPR

• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

• Experience working with companies and space agencies such as Virgin Galactic, SpaceX, Blue Origin, NASA Space Biosciences, ESA, JAXA et al

• Knowledge of GCR (Galactic Cosmic Rays), HZE (High-energy and high-charge ions), Bragg peak and ‘track’ correlation analysis related to DNA repair pathways along with high/low LET (Linear Energy Transfer) radiation, telomere elongation/shortening, chromosomal translocations and dysregulated gene expression and additional multiomics research in connection to space biosciences.

• Experience with software tools used in Space Biosciences e.g. NASA GeneLab, Unsupervised learning and experimental clustering, Bioinformatics toolsets

• Radiation affecting the microenvironment

• Exosomic cargo

• Biochemical cascades

• ECM and Brain ECM

• Dynamic Reciprocity

• TME (Tumor microenvironment)

• Exosomes

• DNA repair pathways, time to repair data and factors

• Biomarkers which can be used to predict amount of time for DNA repair cycles to complete

• Knowledge of key targets of particle damage correlated to type of particle and track:

• Knowledge of key effects of particle damage correlated to type of particle and track:

• NASA’s Human Research Roadmap (HRP), NASA GeneLab and Biospecimen Sharing Program (BSP)

• Wetlab exposure

• Side projects

Responsibilities:

• Develop data analysis strategies, write algorithms, and deploy computational tools for the exploration of proteomics and single-cell datasets (scRNAseq, scATACseq, CITEseq)

• Work with software engineering, data science, genomics, biochemistry, and proteomics teams on the development of novel platforms for extracting biological insight from experimental data at multiple spatial and temporal scales

• Interact closely with scientists in discovery & translational research, understand their data manipulation and analysis needs, provide answers to technical questions through 1-on-1 communication, presentations, and written documents

Education Requirements:

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

Experience Requirements:

• 2 years of professional experience in data science or a related field

Other Requirements:

• Proficiency in programming languages such as Python, R, or Scala

• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn

• Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib

• Strong understanding of statistical modeling, data mining, and machine learning techniques

• Excellent problem-solving skills, attention to detail, and ability to work on multiple projects simultaneously

• Strong communication skills, both written and verbal

• Experience with big data technologies like Hadoop, Spark, or Hive is a plus

Responsibilities:

• Analyzing and interpreting complex data to identify trends, patterns, and insights

• Developing, validating, and implementing predictive models and algorithms

• Collaborating with business units to understand their needs and provide data-driven solutions

• Communicating findings through visualizations and presentations to both technical and non-technical stakeholders

• Maintaining and improving existing data pipelines and tools