Benefits:

• Full-time remote position

• Flexible working hours

• Ability to grow with the organization and affect the processes

• Interesting projects that eventually go to production

• Competitive salary and benefits

Education Requirements:

• MSc/Ph.D. in Mathematics, Optimization, (Electrical) Engineering, Statistics, Computer Science, Machine Learning, Physics, or another related field

Experience Requirements:

• 3+ years of industrial experience in ML/AI-related environment

• Strong expertise in Python and main data science libraries

• Excellent scientific/technical writing skills

• Strong communication and presentation skills

• Business fluent English and German

Responsibilities:

• You structure, manage and lead client activities as well as internal research projects

• You manage the internal data science project

• You evaluate advances in SOTA and assess them for being applicable for customer use cases

• You support our presales team with developing potential use cases and project ideas

• You take an active role in guiding and mentoring your junior colleagues

Experience Requirements:

• 5+ years

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:

• stock options

• benefits

• additional perks

Experience Requirements:

• at least 6 months of relevant internship experience in a similar role

Other Requirements:

• Practical experience through coursework, internships, or personal projects in applying machine learning techniques, ideally with some exposure to NLP models, prompt engineering, and working with LLMs

• Familiarity with version control (Git), CI/CD pipelines, and deploying ML models or services locally or in cloud environments

• Proficiency in Python for building and testing ML models, with experience using popular ML and data libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy

• Enthusiasm for customer-facing work, including the ability to understand specific use cases and adjust ML models accordingly

Responsibilities:

• Quickly deploy and test the current LLM-powered pipeline locally for specific customer use cases, making necessary adjustments to ensure alignment with customer requirements, and documenting findings clearly

• Take ownership of deploying product improvements based on customer-specific requests, pushing code and configuration changes to GitHub, and collaborating closely with product and engineering teams for smooth integration

• Build and maintain a repository of prompts for various scenarios that would be leveraged for any prospective customer proof of concept, iterating on these to optimize performance and ensure they are production-ready when needed

• Lead technical PoC projects with prospective customers, showcasing the capabilities of the ML models, addressing their specific needs, and gathering feedback to inform future improvements

• Collaborate with the team to ensure continuous monitoring of deployed models, focusing on improving accuracy and performance within a structured ML framework while learning best practices for pipeline maintenance

Benefits:

• stock options

• benefits

• additional perks

Experience Requirements:

• at least 5 years

• Proven experience in designing, training, benchmarking, and fine-tuning machine learning models, particularly with NLP models and large language models (LLMs)

Other Requirements:

• Experience in building scalable ML pipelines using tools such as Kubeflow

• Knowledge of automating and monitoring ML workflows to ensure consistent model performance in production

• Hands-on experience with cloud platforms, including deploying models, managing cloud resources, and using relevant APIs for data intake, storage, and processing

• Great communication skills with the ability to convey complex findings to non-technical audiences

Responsibilities:

• Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to enhance accuracy and efficiency in submission intake processes across multiple insurance use cases

• Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to address business-specific requirements while maintaining an eye on adaptability and future innovation

• Continuously research and incorporate the latest advancements in prompt engineering and model optimization to refine prompts for precision and relevance, contributing to a robust, cutting-edge ML infrastructure

• Collaborate cross-functionally, serving as a technical lead for junior team members, providing mentorship and guidance to elevate team performance and technical knowledge

• Ensure production-grade deployment standards, emphasizing scalability, reliability, and compliance with insurance data handling policies, balancing rapid iteration with stability

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

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:

• 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:

• 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

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

Benefits:

• Comprehensive health, dental, and vision insurance for you and your dependents

• Inclusive fertility benefits via Carrot Fertility

• 22 weeks of paid parental leave

• Flexible paid time off and absence policies

• Generous mental health support for you and your dependents

Education Requirements:

• Doctoral

Education Requirements:

• PhD preferred

Responsibilities:

• Analyze and explore qualitative data and AI models

• Collaborate on efficient, high-quality analysis