Benefits:

• Entrepreneurial and inclusive culture

• Excellent health coverage

• Four weeks paid vacation

• Catered lunches twice a week over machine learning talks

• Opportunities to collaborate with faculty at the Vector Institute

Education Requirements:

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

Experience Requirements:

• 2+ years of research experience with publication record

• Proven track record of applying machine learning to solve real-world problems

Other Requirements:

• Depth of experience in relevant ML research disciplines

• Hands on experience in software systems development

• Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library

• Experience with Spark, SQL, or comparable database systems

• Experience using GPUs for accelerated deep learning training

• Familiarity with cloud computing systems like Azure or AWS

Responsibilities:

• Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.

• Research, develop, and apply new techniques in deep learning to advance our industry leading products.

• Work with large-scale, real-world datasets that range from banking transactions, to large document collections.

• Collaborate closely with our engineering team in a fast-paced startup environment and see your research deployed in production with very short turnaround.

Education Requirements:

• tier-1 institute

Experience Requirements:

• perform data-driven research

• solve real-world problems

• optimize algorithms through the systematic application of mathematics, statistics and computer science

Benefits:

• Competitive salary and stock option equity packages

• Excellent Medical Plans to choose from including HSA plans, PPOs, and HMOs from Kaiser and Aetna; Dental and Vision insurance through Guardian; Copy.ai pays up to $800/month per employee for monthly premiums

• 100% REMOTE startup!

• UNLIMITED PTO

• 401k plan and automatic 3% employer contribution from Day 1!!!! 💻 Brand new work-sponsored computer 🏝 IRL / In-Person retreats throughout the year

Education Requirements:

• M.S. or PhD in data science, machine learning, statistics, mathematics, or a similar field

Experience Requirements:

• 7+ Years of experience in data science or machine learning

• 3+ years of experience leading a data science or machine learning team owning a player-coach relationship

• Experience with large data sets and analytical tools

• Experience building data science models (Regression, Decision Trees, K-Means, etc.)

• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.

Other Requirements:

• Demonstrated skills in selecting the right statistical tools given a data analysis problem.

• Proactive, organized problem-solver with the ability to execute at both the strategic and tactical level

• Excellent communication and interpersonal skills

• Based in the San Francisco Bay Area

Responsibilities:

• Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

• Lead and scale a high performing team of data scientists and prompt engineers

• Build and prototype analysis pipelines for the team to provide insights at scale

• Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development

• Partner closely with engineering and product teams to deliver on major cross-functional measurements, testing, and modeling efforts

Education Requirements:

• PhD in Artificial Intelligence or Machine Learning

Other Requirements:

• Research / published papers in Auto ML, Neural Architecture Search, Personalization, or Forecasting

• Experience publishing at top conferences

• Able to write code and ideate with the product team

Responsibilities:

• Coming up with new techniques in unsupervised learning, dataset augmentation and deep reinforcement learning that can be applied to automating various parts of the AI development workflow

Benefits:

• Competitive salary

• Generous health, dental, and vision insurance

• Flexible working hours

• Flexible vacation time

• Hybrid/Remote friendly work environment

Education Requirements:

• Phd or Master’s level degree in computer science, machine learning, engineering or related fields

Experience Requirements:

• 2-5 years of experience working as a data/AI scientist developing AI models and evaluation of AI/LLM models

• Experience applying both technical and non-technical (policy, ethical, social) approaches to model risk and impact assessments

• Familiarity with requirements contained in AI regulations as well as leading standards and frameworks (EU AI Act, NIST AI Risk Management Framework, ISO Standards, etc)

Other Requirements:

• Excellent organizational and project management skills, including the ability to lead a small team on client-facing projects

• Strong technical, analytical and conceptual problem-solving skills

• Demonstrated experience drafting reports and academic publications

• Team player

• Comfortable in a flexible and evolving environment

• Ability to multitask

Responsibilities:

• Support client model assessment projects from start to finish, including advising on the selection and development of test plans and evaluation metrics suited to the business use case and regulatory requirements

• Play a lead role in drafting model assessment reports for clients, including addressing the broader compliance and/or business impacts of assessment technical findings

• Develop and document assessment team standard operating procedures with a view to improving project efficiency and customer satisfaction

• Serve as one of the main points of contact for technical questions related to model assessment approaches and findings

• Work with the Chief Technology and Product Officer and assessment team to identify state-of-the-art techniques, methods and tools for model testing, evaluation and validation of AI/ML systems, including generative AI

Benefits:

• 401K and AD&D

• Healthcare

• Global Exchange Program

• Work from anywhere

• Employee stock options

Education Requirements:

• MSc degree in Computer Science or a related technical field or equivalent practical experience

Experience Requirements:

• 3+ years of proven experience in delivering production level ML solutions

• Experience with time series modeling, supervised and unsupervised learning

• Experience with Causal Inference

Other Requirements:

• Strong business understanding and high execution mentality

• Deep understanding of ML theory and the math behind the models

• Building interpretable and explainable solutions

• Proficiency in Python, relational and NoSQL databases, Git

• Knowledge of data management and visualization techniques

• Technologically diverse background and ability/willingness to learn new things quickly

• Strong engineering and communication skills

• Advantage: experience with Multi-Arm Bandits

• Advantage: experience with LLMs

Responsibilities:

• Own the Data Science deliverables across our various products

• Conduct exploratory research on structured and unstructured data

• Be involved in team architectural discussions

• Research, build and deploy ML models in different domains

• Create technical specifications and project documentation

Benefits:

• comprehensive health and wellness benefits

• top-tier medical, dental, and vision insurance

• flexible work hours

• mental health support

• wellness programs

Responsibilities:

• R&D of the core agent framework

• R&D of LLM serving methods

• Model evaluation and finetuning

• Technical reports and blog posts

Education Requirements:

• Degree in Engineering, Mathematics, Computer Science or related field

Experience Requirements:

• 5+ years developing applications

• Experience with and profound understanding of in-app event tracking and evaluation of analytics

Other Requirements:

• Awareness of industry’s latest technology trends and applications

Responsibilities:

• Oversee the entire in-app user journey

• Drive decision making

• Improve the product funnel

• Identify growth opportunities

• Run experiments to improve customer on-boarding, conversion and product virality

Benefits:

• Competitive compensation package

• Employee options awards

• Flexible working environment

• Growth opportunities

Experience Requirements:

• 3+ years as a Data Scientist or ML Engineer

Other Requirements:

• Fluency in Python

• Knowledge of data structures and algorithms

• Experience with Apache Spark

• Good analytical and problem-solving skills

Responsibilities:

• Developing new data-science/ML functions

• Maintaining and improving existing codebase

• Collaborating with other teams

• Supporting marketing, sales, and clients

• Mentoring junior data scientists

Benefits:

• Work from Anywhere

• Competitive Salary

• Comprehensive Health Plan

• Quarterly Workation

Experience Requirements:

• 3-5 years

Other Requirements:

• Proficiency in programming languages such as Python

• Experience in machine learning, deep learning, predictive modeling, time series forecasting, anomaly detection, and statistical analysis

• Familiarity with data visualization tools like Tableau and PowerBI

• Knowledge of cloud platforms such as GCP, AWS, and Azure

Responsibilities:

• Drive statistical modeling and machine learning techniques to analyze data and solve complex problems

• Extract actionable insights from large and complex datasets to influence business strategies

• Develop and present clear visualizations and reports for both technical and non-technical audiences

• Collaborate closely with cross-functional teams to understand business needs and provide data-driven solutions

• Stay updated with the latest technologies and trends in data science and apply this knowledge to your work

Benefits:

• We're completely remote.

• Competitive base salary and stock option plan.

• We have full health insurance for both Canadian and US residents.

• We offer unlimited vacation.

• Flexible hours - create your most productive work schedule

Other Requirements:

• Exceptional analytical reasoning and problem-solving skills, with a profound understanding of data science, machine learning, and statistical principles

• Advanced proficiency in Python for data manipulation, analysis, and model development

• Comprehensive knowledge of machine learning algorithms, especially LLMs and transformers, with expertise in metric spaces and vectorization techniques

Responsibilities:

• Data Profiler Function Development

• Embedding Model Deployment Contribution

• LLMs Performance Optimization

• Multidimensional Analysis Development Support

Benefits:

• We're completely remote.

• Competitive base salary and stock option plan.

• We have full health insurance for both Canadian and US residents.

• We offer unlimited vacation.

• Flexible hours - create your most productive work schedule

Other Requirements:

• Demonstrate exceptional analytical and problem-solving abilities, grounded in a solid understanding of data science and statistical principles

• Proficient in Python, particularly for data manipulation and analysis

• Basic knowledge of LLMs, especially transformers, and an understanding of LLM training and fine-tuning principles

Responsibilities:

• Dataset Optimization

• Data Profiling Assistance

• Model Development Support

• Multidimensional Analysis Support

Benefits:

• 100% paid comprehensive medical coverage, including vision and dental, and HSA plan options for employees and their dependents

• Health & wellness app reimbursement

• On-site gym

• Free lunch

• 12 company holidays and flexible time off

Education Requirements:

• PhD

Experience Requirements:

• 10+ years of experience in RNA biology and/or biochemistry

• Excellent knowledge on RNA targets in drug discovery, RNA-protein interactions, RNA biochemistry, and RNA-targeting small molecule strategies

• Demonstrated ability in leading and efficiently executing novel scientific research

• Proven hands-on experience in RNA technologies, including RNA target selection, purification, screening technologies including biochemical and biophysical methods

• Ability to independently drive, manage, execute, and deliver results for a portfolio of complex multifunctional projects

Responsibilities:

• Take a lead role in identifying and implementing novel strategies for developing RNA-targeting drugs

• Work with the leadership to define overall RNA targeting strategy

• Working closely with the internal ML Data and ML team: Enable and apply RNA-structure platform. Identify and prioritize RNA-structure targets for small molecule drug discovery.

• Establish relevant technologies internally and manage workflows

• Manage talent both internally and externally to build a productive team

Responsibilities:

• develop

• test

• apply AI-based drug-discovery platform

Benefits:

• Attractive salary package

• Part of an innovative Global Tech Company

• Private Health Insurance

• Company Equity

• Weekly Office Events - Catered Lunch and Breakfast Stocked Kitchen Company Outings & Quarterly Events Hybrid Working Meal Coupons - Monthly LinkedIn Learning & Training Opportunities/Budget Mental Health Benefits - Wellness Coach App Subscription Great office location in the city center - Parking slots available Gym Subscription - UP Fit Quarterly Charitable Giving Allowance Peer recognition Allowance

Education Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, or a related field

Experience Requirements:

• Proficiency in Python programming and SQL

• Experience with AI/ML frameworks such as LangChain, LLMs, and HuggingFace

• Experience with Machine Learning libraries, such as XGBoost/CatBoost

• Experience with Deep Learning platforms, such as Pytorch or Tensorflow

• Experience in ML engineering, modeling, data pipelines, data extraction and processing

Responsibilities:

• Develop and implement AI/ML solutions aligned with company goals

• Lead the research, development, and deployment of AI/ML models

• Fine-tune existing models and/or create new models from scratch to enhance business processes and outcomes

• Collaborate cross-functionally with teams to identify opportunities for AI/ML integration and optimization

• Stay abreast of industry trends and advancements to ensure our AI initiatives remain innovative and impactful

Benefits:

• Generous equity

Benefits:

• Hybrid working

• Flexible working

Responsibilities:

• Bring knowledge of algorithms, machine learning, and statistics to features

• Build data skills into reliable Python services with well-tested code

Benefits:

• Equity

Experience Requirements:

• Established track-record of delivering results

• Deep understanding of the ML development cycle

Other Requirements:

• Proficient in Python, Tensorflow or PyTorch

• Goal-oriented

Responsibilities:

• Running, optimizing, and improving AI platform

• Improving platform-wide retention

Benefits:

• Competitive salaries

• Equity

• Benefits

Education Requirements:

• Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field

Experience Requirements:

• Proven experience in training Large Language Models and applying modern supervised fine-tuning techniques

• Strong programming skills in Python and familiarity with Machine Learning frameworks such as TensorFlow, PyTorch, or similar

• Experience with instruct tuning, DPO, KTO, or other advanced training methods

• Solid understanding of Machine Learning algorithms, model optimization, and performance evaluation metrics

Other Requirements:

• Ability to design and conduct experiments, analyze results, and iterate on model improvements

• Experience with distributed training environments and large-scale data processing

• Familiarity with MLOps practices and tools for managing Machine Learning workflows

• Prior experience in a startup environment or a fast-paced, dynamic work setting

• Contributions to the AI/ML research community through publications or open-source projects

• Excellent problem-solving skills and the ability to work effectively in a collaborative startup environment

• Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders

Responsibilities:

• Develop and implement supervised fine-tuning techniques such as instruct tuning, DPO, KTO, and other advanced methods

• Train and fine-tune Large Language Models to improve their performance, accuracy, and generalization capabilities

• Collaborate with cross-functional teams to design and execute experiments that validate and benchmark model performance

• Optimize training pipelines for efficiency and scalability, ensuring the best use of computational resources

• Stay current with the latest research and developments in the field of Machine Learning and AI, and incorporate best practices into our training processes

Benefits:

• Competitive salaries

• Equity

• Benefits

Education Requirements:

• Bachelor's degree in computer science, engineering, or a related field (Master's or Ph.D. preferred)

Experience Requirements:

• Proficiency in data infrastructure and modern machine learning tools (e.g. PyTorch, TensorFlow, transformers)

• 2+ years of practical experience as a Machine learning engineer

• Proficiency with coding languages Python, Java, C++, or similar languages at a production level

• Experience with public cloud infrastructure, services, and best practices

Other Requirements:

• Demonstrated experience providing technical guidance and support in customer calls & interactions, addressing product usage needs, and resolving issues

• Strong Communication Skills - Ability to simplify complex, technical concepts

Responsibilities:

• You will own the technical aspects of the sales cycle, designing and leading a tailored and business value-aligned technology evaluation process to make customers successful with Arcee’s products

• You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders

• Scope customer trials and projects

• Create and deliver specialized technical demos according to the customers

• Act as the “Voice of the Customer” - Regularly engaging them on status calls, educating on product roadmap and QBRs, and managing escalations, while influencing our roadmap in partnership with our Product team