Machine Learning Applied Scientist Jobs

Minimum eight (8) years’ experience working in an Operations Research/ Machine Learning environment

3-5+ years of experience leading and delivering enterprise-scale operations research/ML projects and facilitating collaboration across teams

Proficiency in programming languages such as Python, along with experience using machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

Solid knowledge of statistical analysis and experimental design to evaluate model and algorithm performance effectively

Recent experience with distillation of NLP tasks from larger models to task specific smaller models is an asset

Effective communication skills to convey complex technical concepts to both technical and non-technical audiences

Strong communication and collaboration skills, with experience in translating complex analysis results to a non-technical audience

Collaborate with cross-functional teams to identify growth opportunities and insights through personalized user experiences and targeted marketing initiatives

Previous experience in machine learning, data science, or a related field, specifically in a marketing or growth context

Experience with marketing analytics & audience building, Large Language Models, propensity modeling, reinforcement learning, bandit algorithms, and/or personalized marketing algorithms

Extensive experience (5+ years) in machine learning, data science, or a related field, specifically in a marketing or growth context

Develop and implement machine learning models for user conversion optimization, personalization, propensity modeling, and next best action recommendations

Autonomous driving R&D experience. Leadership or management experience with a R&D team for proof-of-concept deliveries.

At least 10 years of in-depth hands-on working experience in Python, C/C++, TensorFlow, PyTorch, MXNet, Keras, etc.

Proven experience of translating ideas into research prototypes quickly.

Our team has an immediate permanent opening for a Research Scientist.

What you'll bring to the team:

Develop cutting-edge reinforcement learning and deep learning algorithms for behavioral planning, motion planning, and motion control.

Responsibilities - What You'II Do

• Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems

• Experience in trust and safety area is a plus

• Work with team members to design next generation CV/NLP/Audio multimodality models

• Work with engineering teams to implement model pipeline and deploy the service at scale

• Collaborate with product team to define objectives and improve trust and safety strategy

Deep knowledge and technical proficiency gained through extensive education and business experience.

Broader work or accountabilities may be assigned as needed.

Verbal & written communication skills.

Analytical and problem solving skills.

Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.

Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.

Strong programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, ROS).

Excellent problem-solving skills, with the ability to think creatively and propose innovative solutions.

Note:** Only candidates who meet the required qualifications will be contacted for an interview.

Design and implement innovative algorithms and models to address complex challenges in robotic systems.

Collaborate with cross-functional teams to integrate research findings into practical solutions and contribute to product development.

Publish research findings in top-tier conferences and journals to establish thought leadership in the field.

Experienced with writing computer code, querying databases, and using computer languages like Python and SQL query.

Experience using Python libraries to create machine learning / statistical models (scikit-learn, SciPy, pandas, TensorFlow, XGBoost, etc).

Experience with time series data is considered an asset.

Strong problem-solving skills: An ability to approach complex problems analytically and derive actionable insights from data.

Work closely with senior data scientists on real-world projects, contributing to the development and improvement of the AI/ML model performance.

Conduct research and analysis to identify patterns and insights from time series data to improve forecasting accuracy.

This role is flexible in that you can work from home.

• Thorough troubleshooting, debugging, and problem-solving skills

• Strong C, C++ coding skills, along with Python, C# and Java

• Azure, AWS cloud development experience

Experience in one or more of these areas desirable

• Excellent C/C++ coding skills

3+ years of building models for business application experience

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

Experience programming in Java, C++, Python or related language

Experience in building machine learning models for business application

3+ years of solving business problems through machine learning, data mining and statistical algorithms experience

Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.

Expert knowledge of machine learning techniques: regression and classification, clustering, neural networks, boosted decision trees, etc.

Good knowledge of probability and statistics, including experimental design, optimization, and causal inference

Excellent written and verbal technical communication skills

Expert knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference

Experience with large-scale distributed systems

Stipends for remote work support, home office set-up and Thumbtack services (North America)

Expert knowledge of machine learning techniques: regression and classification, clustering, neural networks, boosted decision trees, etc.

Good knowledge of probability and statistics, including experimental design, optimization, and causal inference

Excellent written and verbal technical communication skills

Expert knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference

Experience with large-scale distributed systems

Stipends for remote work support, home office set-up and Thumbtack services (North America)

Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness

2+ years hands-on data science experience

Good communication and interpersonal skills for working in a multicultural work environment

Experience in NLP, image processing and/or recommendation systems

Hands on experience in data engineering, working with big data framework like Spark/Hadoop

Experience in data science for e-commerce and/or OTA

3+ years of building models for business application experience

PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience

Experience programming in Java, C++, Python or related language

Experience in professional software development

Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.

Run A/B experiments, gather data, and perform statistical analysis.

Excellent communication skills and comfort working in a collaborative inter-discipline environment

Undergraduate degree in Computer Science, Statistics or similar, or equivalent experience

Desire to learn and share knowledge with peers

Medical, dental, vision, EAP, life insurance, and disability benefits (US)

Write well crafted, efficient and testable algorithms

Plan and implement tasks of small to medium scale independently

Academic or work experience in running Machine Learning experiments

Strong analytical and conceptual problem-solving skills

Excellent oral and written communication skills

An annual leave policy offering 22 days of holiday upon hiring;

A comprehensive group insurance program (health, dental, disability, life, health care account, travel insurance and extended benefits);

Engendrer l'adoption de l'AA dans les petites et moyennes entreprises (PME)

PhD in Machine Learning, Computer Science, Applied Math, or equivalent work experience in ML

4+ years' experience implementing a variety of ML methods with a focus in a specialization such as computer vision or robotics

2+ years' experience implementing and deploying (dexterous) robotic manipulation tasks in simulation and on physical robots

Experience in simulation-to-reality transfer learning

Experience taking ML R&D and trained models into production

Hands-on experience integrating ML models onto a robotics platform

Knowledge of SQL or similar database management systems.

Knowledge of advanced data techniques, including data modeling, data access, data integration, data visualization, databases, database design, and data management.

Strong knowledge and experience in Machine Learning, Data Science, and Generative AI.

Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.

3-5 years of industry experience as a Data Scientist or Machine Learning Engineer.

Experience with cloud platforms such as AWS, Google Cloud, or Azure.

·Master’s degree (or equivalent experience) in Electrical Engineering, Computer Engineering, Physics or a closely related field

·Strong experience in hardware engineering, especially in FPGA development and programming

·Excellent problem-solving skills and desire to learn quickly

·Strong communication and collaborative skills

·Experience in PCB design software, PCB fabrication and PCB assembly

.Applications will be considered until the positions are filled.

Demonstrated skills with Python or R. Experience with libraries like SpaCy, nltk, wordnet, Gensim. (Ideally have a GitHub space to share)

You will be furthering global knowledge on the subject of collaboration through co-authored research papers, conference talks, and content creation.

You will develop algorithms to automate ETL requirements for NLP modelling. 

4+ years of experience working in various aspects of NLP data science.

Experience with 3rd party APIs like Reddit, Twitter, etc.

A Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience.