Benefits:

• Health insurance

• Retirement plan

• Dental

• Optical

• Life insurance

Other Requirements:

• professional, mature, and dependable

• self directed and intrinsically motivated

• sharp and intellectually curious

• able to separate ideas from self

• persistent and hungry

• eager to improve

• a builder and a creator

• happy and successful working remote

Benefits:

• Competitive salary

• Generous equity package

• 6 month salary reviews

• Flexible hours and 3 days WFH per week

• Generous maternity and paternity leave

Responsibilities:

• AI at scale

• AI Vision

• Deep learning

Education Requirements:

• A degree in Computer Science, Mathematics, Data Science, Statistics or relevant field

Experience Requirements:

• Knowledge of Machine Learning and Deep Learning

• Strong knowledge of Python

• Familiarity with Deep Learning frameworks (preferably PyTorch)

• Experience with Reinforcement Learning is a plus

• Knowledge of Chemistry and Biology is a plus

Responsibilities:

• Conduct research and keep up with current state-of-the-art in Drug Discovery and Deep Learning

• Analyze molecular datasets, identify patterns, find relevant features

• Work as a part of a multi-disciplinary team and develop solutions to challenging computational problems in the field of Drug Discovery

Benefits:

• Health insurance, which includes employer contributions toward medical/vision/dental

• Employer paid Basic Life insurance with additional coverage available (amount depends on Bargaining Unit)

• Paid holidays

• Personal leave with an accrual rate increase based on time served

Education Requirements:

• A bachelor's degree from an accredited college in biology, a branch of biology, limnology, biometrics, oceanography, forestry, or natural resource management

• One year of full performance professional level biologist experience

Experience Requirements:

• 6 - 10 years

Other Requirements:

• Requires Onsite work

• Requires frequent travel for fieldwork (at least 10 days at a time at least twice a year)

• A valid driver's license is required

• This position may be in possession of, or have access to, firearms/ammunition

• If you have ever been convicted of a misdemeanor crime of domestic violence, do NOT apply for this position

Responsibilities:

• work collaboratively as part of the research team in Region IV of the Alaska Department of Fish and Game to evaluate critical management and ecological questions in large game mammals, with a focus on carnivores, including wolves and brown bears

• responsible for working with wildlife managers to identify research questions and associated hypotheses and will lead development and execution of rigorous studies to evaluate those hypotheses

• assist other researchers in project development and execution, and lead or contribute to development of new or evaluation of existing survey and inventory techniques

Benefits:

• Competitive Salary

• Stock options

• Remote work

• Generous vacation policy

Education Requirements:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. A Master’s degree is a plus

Experience Requirements:

• At least three years of experience in a data analytics role, preferably with user and machine data exposure

Other Requirements:

• Strong analytical skills

• Proficiency in data analysis tools and programming languages such as SQL, Python, and R

• Experience with data visualization tools

• Experience with data warehousing platforms

• Excellent verbal and written communication skills

• Strong problem-solving skills

• Successful completion of a background check

Responsibilities:

• Optimize the User Funnel

• Retention Strategies

• Monitor KPIs

• Cross-Functional Collaboration

• Reporting

Benefits:

• Competitive Salary

• Stock options

• Remote work

• Generous vacation policy

Education Requirements:

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

Experience Requirements:

• 3+ years of experience as a Data Scientist or similar role, ideally in a SaaS or IaaS environment

Other Requirements:

• Proficiency in Python or R for data analysis and modeling

• Strong SQL skills

• Experience with predictive modeling

• Familiarity with revenue forecasting methods

• Knowledge of machine learning libraries

• Experience with data warehousing platforms

• Strong communication skills

• Ability to work cross-functionally

• Problem-solving mindset

• Successful completion of a background check

Responsibilities:

• Build lookalike models

• Identify key behaviors associated with retention and build churn prediction models

• Translate data discoveries into actionable recommendations

• Collaborate with stakeholders to guide data-driven initiatives

• Build dynamic revenue forecasts

Benefits:

• Equity packages

• Inclusive parental leave policy

• Annual Vibe & Thrive allowance

• Flexible leave options

Education Requirements:

• Bachelor's degree in a STEM area

Experience Requirements:

• Proven record of influencing the business with data

• Strong base in fundamental technical skills of data science

• Experience with other technical data science skills

• Experience in a tech company

Responsibilities:

• Finding strategic insights

• Experimenting

• Influencing with metrics

• Supporting with general data

• Extending data literacy

Benefits:

• Equity packages

• Inclusive parental leave policy

• Annual Vibe & Thrive allowance

• Flexible leave options

Experience Requirements:

• Strong background in machine learning

• Proficient in Python

• Collaborative mindset

• Drive for continuous learning

• Experience working in cloud environments

Responsibilities:

• Write cutting-edge machine learning algorithms

• Run training of machine learning models

• Optimizing trained models

• Collaborate with software engineers

• Collaborate with cross-functional teams

Benefits:

• A culture comprised of diverse, global teams who have a passion for collaboration and client service.

• A competitive salary and scope for further advancement

• State-of-the-art engineering solutions - working at Enterprise Bot is a refreshing mix of purpose, challenge, and fun

Experience Requirements:

• 2-3 years of experience in the fields of machine learning, deep learning, LLM-based models, NLP, and data science

Other Requirements:

• Strong skills in Python

• Hands-on experience in developing & running machine learning applications in production

• Familiarity with training and serving large language models in production

• Hands on experience in building and implementing advanced statistical analysis and machine learning and data mining

• Strong understanding of fundamentals of Computer Science

Responsibilities:

• The data scientist will be responsible for design and development of deep learning & LLM based models on unstructured and Structured Data.

• Will focus on not just on designing the algorithm but also on delivering it at scale.

• Will build and deploy deep learning techniques in production.

• Design and develop software modules that perform data ingest, data transform, and analytics tasks.

• Deliver customized solutions in a timely manner.

Benefits:

• Medical & Health

• Performance Bonus

• Parental Leave

• Flexible Time

• Mental Health Workshops

Education Requirements:

• It doesn’t matter where you went to college or what your CGPA was as long as you are smart, passionate, ready to work hard, and have fun. We value diversity of thought and background and encourage individuals from all linguistic disciplines to apply.

• Proven experience in linguistics, particularly in computational linguistics, sociolinguistics, or related fields.

• Familiarity with NLP tools and technologies is highly desirable.

• Strong analytical skills and the ability to interpret linguistic data.

• Excellent communication skills with proficiency in at least one language other than English.

Experience Requirements:

• 3+ Years Experience

Responsibilities:

• Language Model Development

• Cultural Sensitivity and Localization

• Research and Innovation

• Interdisciplinary Collaboration

• Quality Control and Training

Benefits:

• Flexible Work Hours

• Health Insurance

• Work from Anywhere

• Exponential Growth

• Learning Environment

Other Requirements:

• NOT open to students

Education Requirements:

• PhD or Master’s degree in Computer Science or equivalent industry experience

Experience Requirements:

• 2+ years of experience in AI research, including training, fine-tuning, and experimenting with foundation models beyond black-box use

• Track record of first-author publications at top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, ACL, EMNLP)

• Strong proficiency in one or more deep learning frameworks (e.g., JAX, PyTorch)

• Experience communicating complex research to peers

• Solid knowledge of programming languages and experience in developing, debugging, and optimizing beyond ML systems

Other Requirements:

• Experience in low-level machine learning optimization, such as writing CUDA kernel code

Responsibilities:

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Benefits:

• Competitive salary

• Generous equity stake

• Wide range of benefits

• Career progression opportunities

Education Requirements:

• PhD in molecular biology, bioengineering, bioinformatics, or a related field

Experience Requirements:

• 5+ years of experience in biopharma in a scientific role in protein engineering, focussing on antibodies, with experience with biophysical and/or functional assays

Other Requirements:

• Deep knowledge of the biopharmaceutical R&D process, methods, tooling

• Excellent analytical and communication skills

• Proven ability to build strong relationships with a variety of stakeholders

Responsibilities:

• Work closely with customers with Biotherapeutics-related use cases to understand their scientific goals and propose tailored solutions

• Advise on identifying projects that Cradle platform is best suited for

• Collaborate with product teams to guide product development

• Build and maintain strong relationships with Cradle’s users

• Collaborate with sales to identify new business opportunities

Benefits:

• Flexible hours

• Competitive pay

• HIPAA compliant Zoom link

• Focus on therapy

• No client acquisition or billing responsibilities

Education Requirements:

• Master's degree in Speech-Language Pathology

Experience Requirements:

• Licensed SLP

• Minimum 10 years experience

Other Requirements:

• Must be licensed in one of the 50 US states or internationally

Responsibilities:

• Provide speech therapy to clients

• Develop and implement treatment plans

• Maintain client records

Benefits:

• Flexible hours

• Competitive pay

• HIPAA compliant Zoom link

• Focus on therapy

• No client acquisition or billing responsibilities

Education Requirements:

• Master's degree in Speech-Language Pathology

Experience Requirements:

• Licensed SLP

• Minimum 10 years experience

Other Requirements:

• Must be licensed in one of the 50 US states or internationally

Responsibilities:

• Provide speech therapy to clients

• Develop and implement treatment plans

• Maintain client records

Benefits:

• Great employee benefits

• Commitment to DEI

• Meaningful contribution at work

• Career objective achievement

• Fulfilling relationships with colleagues, customers and partners

Experience Requirements:

• Senior

Other Requirements:

• Proficiency with TensorFlow or Keras

• Proficiency with Python and ML libraries (scikit-learn, pandas)

• Expertise in visualizing and manipulating big datasets

• Proficiency with OpenCV

• Familiarity with Linux

• Ability to select hardware for ML models

Responsibilities:

• Understand business objectives and develop models

• Manage resources (hardware, data, personnel)

• Analyze ML algorithms and rank by success probability

• Explore and visualize data

• Verify data quality and cleaning