Motional logo
Motional

We're making driverless vehicles a safe, reliable, and accessible reality.

Senior Machine Learning Engineer, Data Mining

Machine Learning EngineerMachine Learning EngineerOtherRemoteSeniorTeam 1,001-5,000Since 2020H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

116 days ago

Salary

$172K - $229K / year

Seniority

Senior

Bachelor Degree6 yrs expEnglishAWSAzureGCPPythonPyTorchTensorFlow

Job Description

Senior Machine Learning Engineer, Data Mining

Motional

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint. • Reinforcement Learning for Data Discovery: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable. • Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions. • Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components. • Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence. • Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

Job Requirements

  • BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
  • 6+ years of hands-on experience in machine learning engineering, with a focus on model post-training, optimization, and deployment.
  • Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
  • Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
  • Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
  • Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
  • Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
  • Demonstrated ability to ship production-grade ML systems and mentor team members.
  • Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers.

Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance
  • 401k with a company match
  • Health savings accounts
  • Life insurance
  • Pet insurance
  • Bonuses

Related Job Pages

More Machine Learning Engineer Jobs

ISMIRA RECRUITMENT AGENCY logo

Learning & Development Coordinator

ISMIRA RECRUITMENT AGENCY

Last updated: February 10, 2026 You can submit your Resume here by pushing the APPLY TO POSITION button below. If you are not sure what position to apply for, you may instead submit a general application here and we will advise you: General Application .

Role Description As a Viking Shipboard Leader, you represent Viking's values and leadership philosophy. You are a hospitality professional who demonstrates passion for excellence, takes ownership for your areas of responsibility, and believes in empowering your team with the skills, knowledge, and tools to succeed. You are an exceptional role model for the Viking Family and have strong motivation to achieve the company's goals and objectives. You are flexible, stress resistant, focused, and a truly committed team member. The Learning & Development Coordinator is responsible for all shipboard training processes, training record keeping, and the crew welfare program. They foster a culture of continuous learning and teamwork, enhancing crew engagement and job satisfaction. Responsibilities - Lead and manage all learning and e-learning programs on board the vessel, including planning, evaluation, and administration. - Deliver training courses including but not limited to the Viking Guest Service Excellence Program, Viking Onboarding Program, and Viking Leadership Program. - Drive leadership development by providing coaching to the Department Heads, Supervisors, and Crew Members to support their career growth and cultivate talent for succession planning. - Maintain and update training records in MXP, ensuring accurate data entry and reporting. - Support the Crew Purser with the sign-on process during periods of high crew turnover. - Schedule the monthly training calendar, in coordination with other training, HR, and operational needs. - Collaborate with onboard leadership and the HR Manager to assess crew performance and identify areas for improvement. - Support a multi-cultural team, maximizing crew satisfaction, productivity, and retention; visit departments daily for “The Daily Reunion”. - Evaluate the effectiveness of training programs by gathering feedback and monitoring outcomes, ensuring ongoing improvements and deliver this on a quarterly basis and upon request to the Viking L&D department. - Take part in Train-the-Trainer sessions for new learning content and learning meetings organized by the Viking L&D department. Qualifications - A minimum of 2 years of experience as an Onboard Trainer, L&D Coordinator, or similar position. - Strong presentation, communication, and facilitation abilities, with experience delivering training in a multicultural environment, ideally on board a vessel. - Exceptional leadership and interpersonal skills, with the ability to inspire and guide crew members and the Leadership Team. - Solid administrative skills are preferred, and proficiency in PC-based databases, spreadsheets, and word processing systems (Word, PowerPoint) is required. - Must be flexible, stress-resistant, and a committed team player. - Ability to work independently when delivering training and collaboratively when developing schedules and identifying needs with ship management. - Fluent in English - must be able to address any kind of information in an adequate manner with excellent oral and written English communication skills; the ability to speak an additional language is an advantage. - Guest-focused, service-oriented, positive personality, professional appearance, and impeccable hygiene standards are required, with excellent knowledge of all Public Health Policies. - Team builder with exceptional work ethic, motivational skills, training, and coaching abilities. Benefits - Paid flights to and from the ship. - Legal employment based on a 10-hour work day. - Fixed return dates at the end of your contract. - Free shipwide Wi-Fi. - Free accommodation. - Opportunities for growth and advancement in your career. Company Description Last updated: February 10, 2026 You can submit your Resume here by pushing the APPLY TO POSITION button below. If you are not sure what position to apply for, you may instead submit a general application here and we will advise you: General Application .

United States
Job Closed

Company: Gridlines is a rapidly growing financial modelling consultancy practice. We transforming the world of financial modelling, helping our clients to make complex financial decisions quickly and with confidence. We love to work with exciting clients that are making a big impact on the world around us, helping to tackle some of the world's greatest challenges. We plan to continue our rapid expansion and are looking for the brightest and best talent to join us on this journey. Role: We are seeking an experienced analyst that is passionate about financial modelling and driven by growth. You will work with a team of modelling professionals to create, analyse and optimise complex financial models, ensuring they are robust and reliable.

United States
Job Closed
Canva logo

Senior Machine Learning Engineer – Learning Experience

Canva

Founded in 2012, Canva offers an online graphic design and publishing platform used by millions of people across the globe. As an employer, Canva offers flexibl

• You’ll build, test, and ship ML-powered features that enhance learning experiences • You’ll design scalable ML pipelines in collaboration with our platform teams • You’ll work closely with PMs, designers and engineers to align on user needs and product direction • You’ll run experiments to validate assumptions and improve model effectiveness • You’ll contribute to shared ML infrastructure and best practices at Canva • You’ll keep up with state-of-the-art developments and explore ways to apply them at scale

Australia
Job Closed
Full TimeRemoteTeam 501-1,000Since 2010H1B No Sponsor

• Implement, maintain and evolve data ingestion and processing pipelines across RAW, TRUSTED and REFINED layers; • Develop ingestion processes using AWS Lambda; • Manage data in Amazon S3 (Landing and Output), using Parquet and JSON formats and execution metadata; • Make data available for querying and analysis via Amazon Athena; • Ensure data quality, versioning and traceability; • Execute reprocessings and adjustments on existing pipelines; • Develop, maintain and tune optimization models based on Genetic Algorithms; • Tune parameters and fitness functions to improve solution quality, reduce execution time, and ensure stability and convergence of results; • Evaluate outcomes and support continuous improvement of operational performance; • Operate and evolve models already in production; • Integrate processing services using Amazon SQS; • Publish execution outputs, including optimization results, technical logs, and functional and operational metadata; • Support daily operation of pipelines and models in production; • Implement and maintain basic logs and metrics; • Diagnose failures and assist with fixes in the production environment; • Contribute to improvements in robustness, reliability and scalability; • Follow observability and operational standards defined by the team.

Brazil
Job Closed