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

Benefits:

• Remote work

• Employment contract in accordance with the Labor Code of the Russian Federation

• Voluntary medical insurance (VMI)

• Flexible work schedule

• Opportunities for professional development in the field of telemedicine and AI

Education Requirements:

• Higher medical education

• Current certificate in the relevant field

Responsibilities:

• Preparation of medical reports based on research results (radiology)

• Consultation and communication with requestors (medical facility specialists)

• Participation in AI model training (data consultation and labeling)

• Remote work on the MDDC digital platform

Benefits:

• Marie Skłodowska-Curie Action scheme advantages

• Participation in web seminars

• Attendance at yearly meetings and international congresses

• Work at a modern office in Vienna

Education Requirements:

• Master's degree in bioinformatics/computational biology

Other Requirements:

• Fluent in R or Python

• Understanding of cellular and molecular biology

• Experience with SQL, JSON, XML

• Statistical analysis of large datasets

• Experience with biological databases (NCBI, Ensembl, UniProt, GEO, ArrayExpress)

• Knowledge of biological ontologies

• Knowledge of graph theory

• Experience with biological network modeling

Responsibilities:

• Meta-analysis of omics data

• Generation of a network-based molecular model

• Identification of compounds interfering with disease pathobiology

• Identification of drug combinations targeting synthetic lethal interactions

Education Requirements:

• PhD

Education Requirements:

• PhD

Education Requirements:

• PhD

Benefits:

• Generously matched contributions

• Vitality Health (London employees)

• Life insurance (London employees)

• 25 days holiday plus bank holidays

• Learning & development fund

Responsibilities:

• Help collect and clean datasets

• Determine new training approaches, loss functions and methodologies

• Design new architectures and deploy models to production

Education Requirements:

• A good 2.1 degree in Computer Science, Mathematics, Electrical or Mechanical Engineering or a related subject

Responsibilities:

• Revolutionise design and manufacturing end-to-end

• Enable the conception, optimisation and production of better products

• Focus on "neural" digital twins, powered by data sources including process monitoring, supply chains, literature and human expert input

Experience Requirements:

• 3+ years of experience in ML research

Other Requirements:

• Expertise in domains like Reinforcement Learning, Simulation, Statistical Analysis, Computer Vision, and NLP

• Deep knowledge of modern machine learning theory, loss function engineering, and the latest advances in AI research

• Proficiency in cloud infrastructure management and model deployment using Terraform and Kubernetes

• Familiarity with PyTorch, Hugging Face, and experiment tracking platforms like Weights & Biases

Responsibilities:

• Lead the development and fine-tuning of advanced ML models across domains like Reinforcement Learning, NLP, and Computer Vision.

• Design and implement effective Hyperparameter Optimization (HPO), cross-validation strategies, and architecture selection processes.

• Choose loss functions and optimizers tailored for specific problem sets and ensure models generalize well.

• Implement and monitor experiment tracking using tools like Tensorboard, MLFlow, or Weights & Biases.

• Develop and optimize training datasets using Hugging Face Datasets and PyTorch. Stay on top of evolving literature and drive new research initiatives that keep us ahead of the curve.

Benefits:

• Health, dental, and vision insurance

• Take what you need vacation policy

• Career growth opportunities within a fast-growing AI company

Experience Requirements:

• 5+ years of experience in AI/ML engineering

• Proven track record of working on AI/ML projects from concept to production

• Experience with deploying AI models in production environments

• You write amazing code, fast

Responsibilities:

• join our team and help us build a category-defining product that scales to massive enterprises and high-growth startups alike

• evaluating cutting-edge AI solutions and ensuring their successful implementation in enterprise environments

Other Requirements:

• Bilingual - Hindi/English

Benefits:

• Full-time employment

• Competitive remuneration package

• Equity in the company

• Dynamic working environment

• International team

Education Requirements:

• Degree in Computer Science, Data Science, Machine Learning/AI, Bioinformatics, or related field (Master's or PhD preferred)

Experience Requirements:

• Strong Experience in Natural Language Processing (NLP)

• Data preparation

• ML & Deep learning

• Experience in knowledge graphs and information retrieval

Responsibilities:

• Data preparation and feature engineering

• NLP and ML development

• Model evaluation and performance tuning

• Data pipeline development

• System optimization

Benefits:

• A career-defining opportunity to work on LLM features

• A chance to work with a dynamic and collaborative team

• Competitive compensation and benefits

• A supportive environment that encourages innovation and personal growth

Experience Requirements:

• 3+ years

Responsibilities:

• Hands-on work with LLMs, prototyping and refining features

• Generating practical specifications for engineering team

• Shaping product by generating specifications for impactful updates

Benefits:

• The opportunity to shape the data strategy of a growing company

• A role that balances analytics, reporting, and some data management

• A chance to work with a dynamic and collaborative team

• Competitive compensation and benefits

• A supportive environment that encourages innovation and personal growth

Experience Requirements:

• 3+ years

Responsibilities:

• Delivering analyses to guide decisions

• Creating updates in ELT pipeline

• Making new data accessible to the team

• Analyzing customer lifecycles

• Automating anomaly detection