Benefits:

• CRA Training Program

• Virtual learning activities

• On-the-job training

• Mentorship

Education Requirements:

• Bachelor's Degree in scientific discipline or health care preferred

Experience Requirements:

• Requires at least 1 year of on-site monitoring experience

Other Requirements:

• Good clinical research regulatory requirements knowledge (GCP/ICH)

• Written and verbal English skills

• Computer skills (Word, Excel, PowerPoint)

• Organizational and problem-solving skills

Responsibilities:

• Perform site monitoring visits (selection, initiation, monitoring, close-out)

• Adapt, drive, and track subject recruitment plan

• Administer protocol and related study training to sites

• Evaluate quality and integrity of study site practices

• Manage regulatory submissions, approvals, recruitment, and enrollment

Benefits:

• Competitive compensation package

• Bonus incentives

• Attractive benefits package

Education Requirements:

• Bachelor's degree in any engineering discipline

Other Requirements:

• Strong problem-solving skills

• Fluency in English

• Motivation and strong work ethic

• Excellent task management skills

Responsibilities:

• Analyze data and design custom solutions for business problems

• Process healthcare datasets using Excel, SQL, Alteryx

• Develop recommendations and create PowerPoint or visualization slides

• Collaborate with internal teams to learn new skills

Benefits:

• Rewarding career in life sciences consulting

• Collaborative work environment

Education Requirements:

• Master’s degree preferably in Engineering, Economics or Business

Experience Requirements:

• Fresh graduate or maximum 1-3 years’ experience

Other Requirements:

• Proficiency in Turkish and business English

• Excellent MS Office skills

• Willingness to travel

• Knowledge of Python or R (plus)

Responsibilities:

• Perform quantitative and qualitative analyses for recommendations

• Contribute to internal brainstorming for project methodology

• Conduct independent desk research

• Assist in the preparation and execution of client workshops

• Build professional relationships with client teams

Benefits:

• Paid in-person work trial

Experience Requirements:

• Proficiency in Python and deep learning frameworks (PyTorch)

• Expertise in post-training techniques (SFT, RL, reward models)

• Proven track record of impactful research

• Real-world impact beyond pure academic work

Other Requirements:

• Ability to balance execution speed with empirical rigor

• Ability to work in-person 5 days a week in San Francisco

Responsibilities:

• Training models for better agentic tool-use

• Designing mechanisms for continuous model weight updates

• Designing and running experiments for data mixtures and models

• Building infrastructure for generating synthetic data at scale

• Building challenging evals for measuring agentic capabilities

Benefits:

• Paid in-person work trial

Experience Requirements:

• Expertise in machine learning, LLMs, and continual learning

• Familiarity with agent frameworks and prompt optimization

• Track record of impactful research

• Real-world impact beyond pure academic work

Other Requirements:

• Ability to balance execution speed with empirical rigor

• Ability to work in-person 5 days a week in San Francisco

Responsibilities:

• Developing prompt optimization and system prompt learning methods

• Developing methods for agents to generate and test hypotheses

• Improving efficiency of learning from long-running agentic tasks

• Designing and running experiments to measure self-improvement

• Open publishing of research through papers and code

Benefits:

• Opportunity to co-create meaningful technology

• Culture of ownership, openness and trust

• Working with professionals in a small dream team

• Freedom and flexibility working remotely or on-site

• Private healthcare

Education Requirements:

• MSc / PhD in Computer Science, Mathematics, Biomedical Engineering or similar

Experience Requirements:

• 3+ years of experience with data analysis and neural networks

• Experience with biosignal analysis (ECG, EEG, PPG or similar)

Other Requirements:

• Strong knowledge of SOTA machine learning trends

• Proficiency in Python and scientific libraries

• Experience with PyTorch/Tensorflow

• Interest in human physiology, medicine, and wellness

Responsibilities:

• Develop deep learning models for biosignal analysis

• Conduct research on deep learning architectures for biomedical signals

• Provide feedback to data collection teams regarding experimental setups

• Perform exploratory data analysis and create visualizations

• Process, clean, and prepare biosignal data

Benefits:

• Market-leading compensation

Education Requirements:

• B.E/B.Tech/M.E/M.Tech/PhD from tier1 engineering institutes

• Computer science or mathematics-related fields

Experience Requirements:

• 3+ years of experience in AI/ML

Other Requirements:

• Strong coding skills in Python

• Familiarity with LangChain or Transformers

• Interest in LLMs, agents, and open-source AI ecosystem

Responsibilities:

• Assist in building LLM-powered agents

• Support prompt engineering, RAG, and tool integrations

• Collaborate on experiments with open-source and commercial LLMs

• Implement and evaluate reasoning, planning, and memory modules

• Deploy and monitor AI features in production

Benefits:

• Market-leading compensation

Education Requirements:

• B.Tech/M.Tech/PhD in computer science or mathematics-related fields

• Tier-1 engineering institutes

Experience Requirements:

• 3+ years of industry experience in Machine Learning and NLP

Other Requirements:

• Strong coding skills in Python and Pytorch

• Familiarity with Transformers and LangChain/LangGraph

• Practical experience with text classification, entity tagging, and RAG

• Experience with BERT, Llama, Qwen, Gemma, or DeepSeek

• Knowledge of model deployment using Docker and Kubernetes

Responsibilities:

• Innovate and use cutting-edge ML techniques for data-driven solutions

• Work on NLP problems like voice agents, classification, and summarisation

• Collaborate with cross-functional teams to integrate AI solutions

• Build, deploy and own scalable production NLP pipelines

• Propose suitable evaluation metrics and establish benchmarks

Benefits:

• Market-leading compensation

Education Requirements:

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

• Tier-1 engineering institute

Experience Requirements:

• 2+ years of experience

Other Requirements:

• Experience deploying Deep Learning based models for speech recognition

• Awareness of SOTA research in speech recognition and signal processing

• Strong knowledge of Machine Learning fundamentals

• Experience with Python and Pytorch

Responsibilities:

• Work on transcription, diarization, and voice activity detection

• Train, deploy and maintain scalable ASR pipelines

• Keep abreast of SOTA techniques in ASR

• Develop architecture and design of systems

• Conduct experiments with model architectures and training schemes

Benefits:

• Attractive remuneration

• New and exciting work to make a more sustainable world

• Share option scheme in a fast-growing start-up

• Matching pension opportunity

• Travel to our offices

Education Requirements:

• Bachelor’s degree in statistics, machine learning, or related discipline

• PhD or Masters in Computer Science/Electrical Engineering or related fields

Experience Requirements:

• Experience using frameworks such as Tensorflow, Keras, Pytorch. Etc.

• Experiences with computer vision project using image classification, object detection, image segmentation and image mask

• Deep understanding of machine learning model hosting for inference and model optimization

• Coding skills in Python, Java or C++

• Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis

Other Requirements:

• Ability to work in a fast-paced start-up environment

• Proficiency with a statistical analysis package and associated scripting languages such as Python, R, Matlab, SAS

• Emerging talent welcome to apply

Responsibilities:

• Use the data to research, design, implement, and deploy scalable computer vision, deep learning, and image processing solutions

• Develop tools to assist with algorithm development, algorithm testing, and image quality evaluation and validation

• Work closely with infrastructure engineers to make sure that your algorithms will effectively scale

• Measure the impact of your changes and come up with ideas for how to maximize that impact

• Prepare the reporting of data analysed in visual form

Benefits:

• pension plan

• extensive employee insurances

• option to get company shares

Education Requirements:

• Master’s or Ph.D. degree in Computer Science, Electrical Engineering

Experience Requirements:

• Experience in software development

• Experience in hardware development

Other Requirements:

• Python

• Neural Networks

• Networking protocols (RoCE, Infiniband)

Responsibilities:

• Design, Architecture and implementation of next-gen AI Accelerators

• Build architectural models and validate performance

• Build advanced hardware prototypes

• Create detailed architectural specifications

• Define and perform rigorous performance evaluation tests

Benefits:

• pension plan

• extensive employee insurances

• option to get company shares

Experience Requirements:

• 5+ years of experience in semiconductor functional safety

Other Requirements:

• ISO 26262

• SOTIF

• ISO/SAE 21434

• HARA

• FMEDA

Responsibilities:

• Define ISO 26262-compliant safety architecture

• Integrate fault-tolerant safety mechanisms into RTL

• Lead HARA, FMEDA, FTA, and DFA across hardware

• Develop and validate technical safety concepts

• Act as technical lead in partner and customer engagements

Benefits:

• pension plan

• extensive employee insurances

• option to get company shares

Education Requirements:

• MS/PhD in CE/EE/CS

Experience Requirements:

• expertise in CPU design, analysis, and modeling

Other Requirements:

• RISC-V

• ARM

• gem5

• Verilog

• SystemVerilog

Responsibilities:

• Research, design, and evaluate CPU microarchitectural components

• Build and validate performance/functional models

• Develop architectural extensions within RISC-V

• Propose and prototype new mechanisms for efficiency

• Work with hardware, compiler, and system teams

Benefits:

• Unique opportunity to join a scaling company

• Competitive salary

• Equity, bonuses, and stock options

• Flexible schedule - Intensive Fridays

• Medical & Dental Insurance

Education Requirements:

• Minimum MSc in Computer Science, Mathematics, Statistics, or Advanced Analytics

Experience Requirements:

• 4+ years in a similar customer-facing position

• Solid experience with Python

• Comfortable with ML libraries (pandas, scikit-learn, TensorFlow, Keras)

• Experience with relational and NoSQL databases

Other Requirements:

• Proficient in spoken and written English

• Willingness to travel

• Strong analytical and creative problem-solving skills

• Commitment to quality

Responsibilities:

• Lead data analyses to solve business problems

• Assist in training and fine-tuning Machine Learning models

• Identify bottlenecks in ETL pipelines

• Contribute to SaaS life cycle using Agile methodologies

• Help validate algorithm implementations

Education Requirements:

• PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision.

Experience Requirements:

• 3 years of experience in applied research focused on robotic manipulation or robot learning.

• Proficiency in programming with Python and C++.

• Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow.

• Experience developing algorithms for vision-based manipulation or contact-rich interaction.

• Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).

Other Requirements:

• Experience with reinforcement learning or imitation learning for robotics.

• Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo.

• Experience integrating tactile sensors with visual perception systems.

• Experience in LfD (Learning from Demonstrations), kinesthetic learning.

• Background in sim-to-real transfer techniques for manipulation policies.

Responsibilities:

• Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios.

• Design algorithms that enable robots to manipulate complex or deformable objects with high precision.

• Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware.

• Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability.

• Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems.

Benefits:

• Equity

Education Requirements:

• PhD or equivalent research experience in machine learning, mathematics, or related field

Experience Requirements:

• Strong understanding of quantization, model optimization, and numerical methods

• Proficiency in Python and PyTorch

Other Requirements:

• Research mindset: curiosity, rigor

Responsibilities:

• Research and develop novel analog-aware quantization methods

• Design mathematically principled matrix-vector multiplication algorithms

• Collaborate with analog hardware engineers to define algorithmic requirements

Benefits:

• Competitive salary + share of equity and token pool

• Fully remote work

• Visa sponsorship

• 3-4x all expenses paid company retreats

• Whatever equipment you need

Education Requirements:

• Currently enrolled in a PhD program (or, in exceptional cases, in a Master’s program)

Experience Requirements:

• Prior experience conducting original research

• Authorship or co-authorship on ML papers

• Strong understanding of deep learning fundamentals

• Experience working with PyTorch, JAX, or TensorFlow

Other Requirements:

• Self-directed, curious, and able to thrive in an environment with high autonomy

• Excellent written and verbal communication skills

• Research experience in distributed systems, continual learning, or modular neural architectures

• Experience at the intersection of cryptography and machine learning

Responsibilities:

• Contribute to original research in deep learning (modular architectures, verifiability, etc.)

• Design and prototype novel neural network architectures for decentralized compute environments

• Contribute to joint publications and projects for top-tier AI venues like NeurIPS, ICML, and ICLR

Benefits:

• Daily drinks, snacks and catered meals

• Regularly scheduled team building activities

Education Requirements:

• Pursuing PhD degree in Computer Science, Engineering, AI, ML, or related field

Experience Requirements:

• Demonstrated research/software engineering experience

• At least one publication in top ML, CV, or Robotics conferences

Other Requirements:

• Strong quantitative background

• Proficient in Python and/or C++

• Submission of academic transcripts required

Responsibilities:

• Lead or Contribute to an AI research project

• Design, implement, train, and optimize novel algorithms

• Submit and publish work externally at top conferences