Benefits:

• Flexible work environment

• Medical benefits

• 401K matching

• Generous paid time off

• Learning Management System access

Education Requirements:

• University Degree

Experience Requirements:

• 5+ years of related work experience

Other Requirements:

• Ability to prioritize and handle multiple tasks

• Attention to detail

• Strong organizational and communication skills

Responsibilities:

• Preparing and processing data for research projects

• Assisting clients with questionnaire design

• Producing data files and tables

• Consulting with clients

• Training and mentoring team members

Benefits:

• Flexible work environment

• Medical benefits

• 401K matching

• Generous paid time off

• Learning Management System access

Education Requirements:

• University Degree

Experience Requirements:

• 2+ years of related work experience

Other Requirements:

• Ability to prioritize and handle multiple tasks

• Attention to detail

• Strong organizational and communication skills

Responsibilities:

• Preparing and processing data for research projects

• Assisting clients with questionnaire design

• Producing data files and tables

• Consulting with clients

• Training and mentoring team members

Benefits:

• Two months of year-end bonus (after one year)

• Performance bonus

• Holiday gifts

• Advance office supplies allowance

• Self-improvement subsidy, health promotion allowance

Education Requirements:

• Master's or PhD degree in related field (preferred)

Experience Requirements:

• 2+ years of data science project experience

Other Requirements:

• Clear and concise communication of complex technical issues

• Python development experience

• Familiarity with data analysis packages

• Teamwork skills

• Attention to detail

• Patience, persistence

Responsibilities:

• Data science projects (business problem understanding, data analysis, solution development, result presentation)

• Literature review

• Product development

• Code development, testing, and maintenance

• Project feasibility assessment

Responsibilities:

• Play a crucial role in improving the accuracy and efficiency of algorithms and models

Benefits:

• Encourage independent decision making

• Avoid rules

• Choose people over process

• Offer unlimited vacation policy

Experience Requirements:

• Exceptional engineering and coding skills (in Python or equivalent languages)

• Solid experience building and productionizing innovative end-to-end Machine Learning systems.

• Comfortable working in different parts of the stack.

• Experience with making product decisions based on data and A/B testing.

• Experience with automation and instrumentation.

Other Requirements:

• Background in Machine learning is a plus.

• Knowledge of distributed systems is a plus.

• Experience with server architectures is a plus.

• Knowledge of map-reduce/Hadoop is a plus.

• Experience with RTB is a plus

Responsibilities:

• Build recommendation engines

• Build smart RTB solutions

• Build predictive ML models

• Build data-driven apps and services

Experience Requirements:

• Seasoned Decision Scientist with a strong background in operations research

Responsibilities:

• Apply advanced analytical methods and models to solve complex operational challenges

• Drive decision-making processes across predictive analytics and operations optimization initiatives

• Collaborate closely with data scientists, product managers, and operations teams

• Translate intricate data insights into actionable strategies

• Enhance operational efficiencies and business outcomes

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. Ph.D. preferred

Experience Requirements:

• 5+ years of industry experience in machine learning engineering or related roles

Other Requirements:

• Expertise in machine learning techniques

• Proficiency in programming languages such as Python

• Strong understanding of cloud computing platforms

• Hands-on experience with containerization technologies

• Solid understanding of software engineering best practices

• Excellent problem-solving skills

• Strong communication and collaboration skills

Responsibilities:

• Design, develop, and deploy state-of-the-art machine learning algorithms and models

• Collaborate with cross-functional teams

• Lead end-to-end machine learning projects

• Architect scalable and efficient ML pipelines

• Optimize model performance and scalability

Benefits:

• Competitive salary and equity options

• Comprehensive health, dental, and vision insurance

• Flexible working hours and remote work options

• Professional career development opportunities

• Dynamic and supportive work environment

Education Requirements:

• M.S. in a STEM field

Experience Requirements:

• 5+ years of research experience

• Deep expertise in machine learning, deep learning, and AI algorithms

• Experience with recommendation systems

• Demonstrated ability to conduct machine learning research studies to analyze data and identify opportunities

• Strong programming skills, proficient in ML languages (Python, SQL, Java, and data science libraries: TensorFlow, PyTorch, OpenCV)

Other Requirements:

• Contributions to research communities like Github

• Experience mentoring or managing junior scientists or engineers

• Strong publication record in AI or related fields

• Excellent written and oral communication skills

• Excellent Interpersonal communication and organizational skills

Responsibilities:

• Lead advanced research projects in artificial intelligence and machine learning

• Stay abreast of the latest AI trends, methodologies, and technologies and assess their applicability to our business needs

• Develop new algorithms and models, enhancing our capabilities in areas such as predictive analytics, Causal Inference and Recommendation systems

• Guide a team of AI researchers and data scientists

• Plan and oversee the execution of research projects, ensuring they meet quality standards and deadlines

Benefits:

• Competitive salary and equity options

• Comprehensive health, dental, and vision insurance

• Flexible working hours and remote work options

• Professional career development opportunities

• Dynamic and supportive work environment

Experience Requirements:

• Experience as a data scientist or data analyst

• 2+ years with Data mining

• A clear understanding of machine learning and operations research

• Exceptional technical writing skills

• The ability to communicate complex data in a simple, actionable way

Other Requirements:

• Proficiency in data science languages such as Python or R

• Experience with SQL and database management

• Familiarity with machine learning frameworks and statistical analysis methods

• Experience in developing and deploying machine learning models

Responsibilities:

• Design and implement advanced data models and algorithms

• Perform statistical analysis and predictive modeling to support various business needs

• Continuously improve existing models based on evolving data sets and business requirements

• Conduct comprehensive data analysis to extract actionable insights

• Develop and maintain dashboards and reports for internal teams, especially for sales and operations

Education Requirements:

• MD and/or PhD degree in biomedical sciences, or a related discipline, with at least 3-5 years of working experience

• Master’s degree with demonstrable experience consistent with the position responsibilities

Experience Requirements:

• Proven experience in running or supporting clinical investigations

• Prior industry experience in a customer-facing role is desired, but not required

• Hands-on experience with ISO 13485 and Software as a Medical Device regulations

Other Requirements:

• Exceptional interpersonal and communication skills

• Demonstrated ability to work both independently and collaboratively as part of a team

• Ability to take a hands-on approach to problem-solving and project management/execution

• Must have the ability to travel to hospitals, healthcare IT partners, and attend medical congresses

Responsibilities:

• Engage and collaborate with clinical experts

• Maintain and develop a network of clinical Key Opinion Leaders (KOL’s)

• Provide feedback and input on the roadmap towards the long-term clinical strategy

• Write research proposals, publish studies with our customers, and apply for grants

• Act as the clinical voice towards our engineering team. As a Clinical Product Owner you'll help define and prioritise the backlog.

Benefits:

• Work where and when you want

• Bruto hourly wage fitting your experience

• We are always available for your questions

Education Requirements:

• At least third-year medical student

Experience Requirements:

• Affinit y for the technical aspect of medicine

Other Requirements:

• Precise

• Let us know if you encounter problems

Responsibilities:

• Help develop our Large Language Model (LLM) by annotating medical data

• Indicate the content of each part of a piece of medical text

Benefits:

• $150K - $300K

• 0.25% - 5.00% equity

Education Requirements:

• Any (new grads ok)

Experience Requirements:

• 5-8yrs

Experience Requirements:

• Experience in qualitative and/or quantitative research, ideally within marking, brand consulting or strategy

Other Requirements:

• Clear writing

• Strong analytical skills with the ability to translate data into meaningful insights

• Excellent communication skills

• Creativity and strategic thinking in designing research methodologies

• Collaborative, growth mindset

• Diverse lived experiences that help us deeper and broaden our lens on the world

Responsibilities:

• Conduct comprehensive qualitative and/or quantitative research studies for leading brands and organizations on a project-by-project basis

• Analyze data to generate actionable insights and strategic recommendations

• Writer clearly and simply

• Present actionable, easy-to-understand findings

• Work quickly and efficiently

Benefits:

• Hands-on experience working on real-world projects

• Opportunity to develop skills in product analysis and user research

• Mentorship and guidance from experienced professionals

• Flexible work hours

• Certificate of experience

Education Requirements:

• Currently pursuing a degree in Computer Science or a related field

Other Requirements:

• Strong analytical and research skills with attention to detail

• Excellent written and verbal communication skills

• Ability to work independently and as part of a team

• Previous experience in research, data analysis, or user testing is a plus

Responsibilities:

• Research and Analysis: Conduct market research and analyze data to identify industry trends, user needs, and areas for improvement

• User Testing: Plan and execute user testing, then analyze feedback to provide actionable recommendations for product improvements

• Requirement Gathering: Collaborate with the team to document product requirements and ensure effective communication with the development team

• Documentation and Reporting: Prepare reports and maintain organized documentation of research, user feedback, and project progress

Benefits:

• Hands-on experience working on real-world AI projects

• Mentorship and guidance from experienced professionals

• Flexible work hours

• Certificate of experience

• Stipend (Negotiable)

Education Requirements:

• Currently pursuing a degree in Computer Science or a related field

Other Requirements:

• Strong analytical and research skills with attention to detail

• Excellent written and verbal communication skills

• Ability to work independently and as part of a team

• Previous experience in AI and ML is a plus

Responsibilities:

• Innovation & Trends: Stay updated on AI advancements and contribute new ideas

• Research & Analysis: Conduct market research and analyze data to identify AI trends and opportunities

• Documentation & Reporting: Prepare reports on research findings

• User Testing: Plan and conduct user testing, gather feedback, and suggest improvements

• Requirement Gathering: Assist in documenting and understanding product requirements and user stories

Education Requirements:

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

Experience Requirements:

• 2 to 4 years of relevant experience in the field of analytics

Other Requirements:

• Analytical Skills, Data Analytics, and Data Modeling

• Strong communication skills, both written and verbal

• Experience in analyzing and interpreting complex data sets

• Proficiency in data visualization tools and techniques

• Attention to detail and problem-solving abilities

Responsibilities:

• performing day-to-day activities such as data analytics, data modeling, MIS, building dashboards and statistical analysis

• communicate findings and insights to stakeholders and collaborate with the AI team to develop comprehensive solutions

Education Requirements:

• Bachelor’s degree in computer science, Data Science, Statistics or related field

Other Requirements:

• Demonstrated interest in machine learning and artificial intelligence is essential

• Knowledge of statics and probability is a must

Responsibilities:

• Study and transform data science prototypes

• Select appropriate datasets and data representation methods

• Run machine learning tests and experiments

• Research and implement appropriate Machine Learning algorithms and tools

• Develop machine learning applications according to requirements

Benefits:

• Competitive compensation package

• Equity

• Employer-covered health/vision/dental insurance

• 401k matching

• Generous PTO allowance

Education Requirements:

• Strong CS, math, science or similar degree from a leading program

• PhD applicants actively considered

Other Requirements:

• Comfortable using scripting languages, and relational or NoSQL databases

• Familiar with general-purpose machine learning methods

• Passionate about using data to drive strategy and business recommendation

Responsibilities:

• Participating in envisioning, designing, coding, testing and improving algorithms

• Collaborating with software engineers and partner company stakeholders

• Identifying external datasets and developing API or other methods for accessing them

• Designing experiments to answer targeted questions

Benefits:

• 401(k) plans

• Comprehensive Healthcare and Dental Benefits

Education Requirements:

• Ph.D. or Bachelor's degree in a quantitative field such as Computer Science, Mathematics, or equivalent industry experience

Experience Requirements:

• 4+ years of experience working with AI/ML models, specifically in the fields of document understanding, computer vision, and multi-modal learning

• Proven expertise in training and evaluating models for complex document extraction

• Deep NLP Expertise

• OCR Integration

• Model Pretraining and Fine-tuning

Other Requirements:

• Solid programming skills in Python and proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch)

• Layout Analysis

• Benchmarking and Evaluation

• Vision-Language Models

Responsibilities:

• Design, train, and evaluate document understanding models for extracting complex data

• Develop and optimize multi-modal visual Q&A models

• Collaborate with the team to integrate AI-driven features into Tensorlake’s platform

• Work closely with users and customers to understand their needs