Benefits:

• A focus on outcomes, not time-tracking

• Social allowances

• Regular company events

• Hands-on onboarding program

Education Requirements:

• PhD or Masters in robotics, control, computer science, engineering or related field

Experience Requirements:

• Experience in conceptualising, implementing and thoroughly evaluating advanced control systems

• Excellent communication skills

Other Requirements:

• Solid software engineering skills

• Writing clean and well-structured code in Matlab, Python and/or languages like Rust, or modern C++

Responsibilities:

• Designing and implementing algorithms for optimization & control problems

• Designing, implementing, and executing experiments

• Collaborating with other researchers

• Communicating research agenda, progress, and results

Benefits:

• Medical, dental, and vision insurance for you and your family

• Mental health and wellness support

• 401(k) plan with 50% matching

• Unlimited time off and 13 company holidays per year

• Paid parental leave (24 weeks paid birth-parent leave & 20-week paid parental leave) and family-planning support

Experience Requirements:

• 7+

• 5-7

• 2-4

• 0-1

Other Requirements:

• Able to work from San Francisco HQ 3 days per week

Benefits:

• Competitive market salary

• Paid sick leave and vacation days

• Significant equity compensation (stock options)

Experience Requirements:

• Comprehensive data analysis experience

• SQL Ninja, ETL scripting, DWH data pipelines

• Organize daily dashboards for the team

Other Requirements:

• Must speak English

• Russian is a plus

Responsibilities:

• Boost data-driven decision-making and cultivate a data-driven culture across the company

• Optimize and maintain robust Data Warehouse pipelines

• Establish and oversee a comprehensive reporting system for key teams

• Identify and implement North Star metrics for business, product, and education

• Achieve 99.9% data integrity and reliability

Benefits:

• A diverse and innovative work with responsibilities

• An exciting job in a successful startup based in Brussels (Place Flagey)

• Possibility to play an important role in a fast-growing company

• An attractive salary based on your experience and profile

• Status : permanent contract (CDI)

Education Requirements:

• Bachelor Degree, Master Degree or equivalent in Machine Learning, Applied Mathematics, Information Theory or Equivalent

Other Requirements:

• Autonomous worker and able to learn new things on the go

• You are ambitious and hardworking. You are looking for new challenge and have an entrepreneurial mindset

Responsibilities:

• Language processing: Prediction of unprecedented results to minimize waste resulting from suboptimal initial conditions

• Language generation: Generation of sentences to improve the attractiveness of advertisements

• Work closely with the founders to boost the company to the next level

• Provide analysis, presentations and valuable actionables for the company and our clients

Education Requirements:

• Graduate-level ML experience (or are an exceptionally strong undergrad)

Experience Requirements:

• You can code up a transformer from scratch in pytorch

• You're comfortable creating large-scale datasets

• Care about the problem of finding high quality knowledge and recognize how important this is for the world

Responsibilities:

• Train a 70B parameter version of our current model

• Build an RLAIF pipeline for search

• Dream up a novel architecture for search in the shower, then code it up and beat our best model's top score

Education Requirements:

• With desired skills

Benefits:

• Pension plan contribution

• Additional 8% holiday pay

• Flexible working hours

• Travel expenses

• Work laptop

Education Requirements:

• MD degree

Experience Requirements:

• Minimum 5 years professional work experience

Other Requirements:

• Ability to build relationships with KOLs and healthcare institutions

• Deep understanding of acute care processes

• Strong communication skills

Responsibilities:

• Clinical Leadership

• Evidence Generation and Research

• Market Adoption and Customer Engagement

• Product Development and Innovation

• Industry Monitoring

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