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Tl Machine Jobs (NOW HIRING)

University of Dayton

TL Process Engineer

Dayton, OH · On-site

... machining, heat treatment, sheet-metal forming and other processes as needed to support customer requirements. The Advanced Manufacturing Process Engineering Team focuses on specifying, installing ...

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Tl Machine information

What are the key skills and qualifications needed to thrive as a TL (Team Leader) in a manufacturing or production environment, and why are they important?

To thrive as a Team Leader (TL) in manufacturing, you need a solid understanding of production processes, quality control, and safety standards, often supported by relevant experience or vocational training. Familiarity with enterprise resource planning (ERP) systems, lean manufacturing tools, and basic data analysis software is typically required. Strong leadership, problem-solving, and effective communication skills help motivate teams and resolve workplace challenges. These competencies are crucial for ensuring efficient operations, maintaining high-quality output, and fostering a productive team environment.

How does a TL Machine operator typically collaborate with maintenance and quality assurance teams?

As a TL Machine operator, you'll work closely with maintenance teams to ensure machinery runs smoothly and address any technical issues promptly. Collaboration with quality assurance is also essential, as you'll need to follow strict protocols and report any inconsistencies in product output. Regular communication and teamwork help minimize downtime and maintain product standards, fostering a supportive and efficient work environment.

What are TL Machine operators?

TL Machine operators are specialized professionals responsible for operating and maintaining TL (Turning Lathe) machines, which are used to shape metal or other materials by rotating the workpiece against a cutting tool. Their duties include reading blueprints, setting up machinery, monitoring production, and ensuring safety protocols are followed. They also inspect finished products for quality, perform routine maintenance, and troubleshoot any mechanical issues that arise during operation.

What is the difference between Tl Machine vs CNC Operator?

AspectTl MachineCNC Operator
Required CredentialsHigh school diploma or equivalent; technical trainingHigh school diploma; technical or vocational training often preferred
Work EnvironmentManufacturing plants, assembly linesMachine shops, manufacturing facilities
Industry UsageUsed in electronics, assembly, and manufacturingUsed in metalworking, woodworking, and manufacturing
Common Search/ComparisonYesYes

The Tl Machine and CNC Operator roles both involve working with manufacturing equipment, but Tl Machine typically refers to technicians operating or maintaining specific machinery, while CNC Operators focus on programming and operating computer-controlled machines. Both roles require technical skills and are found in manufacturing environments, but their specific responsibilities and skill sets differ.

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Tl Machine jobs near you
Machine Learning Engineering TL, Behavior Planning

Machine Learning Engineering TL, Behavior Planning

Aurora Innovation

Mountain View, CA

$171K - $247K/yr

Other

Posted 10 days ago

Job description

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are seeking a ML Engineering TL to join the Behavior Planning Team. This is a high-impact role where you will sit at the frontier of autonomous vehicle technology. You won't just be applying AI and ML methods; you will be advancing the state-of-the-art for how a self-driving system reasons about the world, interacts with humans on the road, and masters complex, high-dimensional decision-making.

In this role, you will

  • Define the architecture of our onboard planning models: Develop and deploy large-scale models trained with Imitation Learning and Reinforcement Learning that enable the Aurora Driver to navigate complex environments with human-like fluidity and superhuman safety.
  • Build our next-generation simulation engine: Architect cutting-edge offboard foundation models that power our simulation engine, creating realistic "world models" to test the Aurora Driver against an infinite variety of edge cases.
  • Revolutionize evaluation: Develop powerful offboard critic models that can evaluate driving behavior at scale, identifying subtle nuances in comfort, progress, and safety that traditional heuristics miss.
  • Bridge research and production: Reach new frontiers of autonomous driving technology by pushing forward the state-of-the-art, but also deploy your models on real production vehicles that drive on public roads and must meet the highest standards of safety. 
  • Mentor and lead: Serve as a technical lead, guiding junior engineers and shaping the long-term roadmap for ML-based planning at Aurora, including the onboard and off-board ecosystem that is needed to support it.

Required Qualifications

  • MS or PhD in Robotics, Machine Learning, Computer Science, or a related quantitative field, or equivalent practical experience.
  • 8 + years of experience developing state-of-the-art ML models, either in a research or production setting.
  • Hands-on experience working on Imitation Learning or Reinforcement Learning applied to physical or simulated agents.
  • Experience training large models on massive datasets using distributed computing.
  • Fluency in Python, with a focus on writing high-performance, maintainable code.
  • Deep experience with PyTorch (preferred) or another modern ML framework, and a mastery of modern ML architectures including Transformers and Diffusion Models.

Desirable Qualifications

  • A track record of publications in top-tier ML conferences (NeurIPS, ICML, CoRL, CVPR, AAAI).
  • Experience deploying complex ML systems in production environments.
  • Experience in developing generative models or neural simulators for synthetic data generation.
  • Experience leading small or large teams to execute highly technical projects.

The base salary range for this position is $171K - $247K per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

#Mid-Senior 

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