Tesla Work From Home Jobs, Remote Tesla Jobs #Click #Go-Ahead ( Machine Learning Engineer )
Company Name: Tesla
Post Name: Machine Learning Engineer
Qualification: Graduation
Industry: Private
Employment Type: Full Time
Work Hours: 8 Hours
Salary: $20-30/hour
Location: California, USA
Tesla Work From Home Jobs, Remote Tesla Jobs #Click #Go-Ahead ( Machine Learning Engineer )
Full Description:
Tesla is looking for a robust device gaining knowledge of engineer to pressure the future of autonomy throughout all modern-day and destiny generations of motors. Software is core to Tesla’s Autopilot, and motion making plans is a key part to stage five autonomy. In this position, you’ll make contributions concept leadership and improvement horsepower across the complete product lifecycle in a surprisingly collaborative surroundings. You will paintings on a lean crew without borderlines to remedy a number of the most difficult problems in self sustaining driving. Most importantly, you’ll see your work again and again shipped to and used by hundreds of thousands of Tesla’s customers.
Tesla Work From Home Jobs
What You’ll Do
- Leverage our numerous and big riding records, mixed with human interventions from our worldwide fleet, to boost towards level 5 autonomy.
- Research, layout, enforce, optimize, and deploy today’s deep getting to know models for planning and selection-making in autonomous using.
- Address issues across a couple of domains such as however no longer restricted to high degree decision-making, multi-agent interactions and trajectory generation
- Make a contribution to normal autopilot structure layout, which include designing interfaces among subsystems
- Deliver production satisfactory, safety-crucial software to the whole thing of Tesla’s car fleet
- Leverage fleet information and modern day techniques in ML
What You’ll deliver
- Proficiency in Python and GPU toolkits, along with PyTorch, JAX, TensorFlow, TensorRT, and/or CUDA.
- Diploma in laptop technological know-how, Robotics, Physics, a related area, or equivalent practical enjoy.
- Tested knowledge in deploying production ML models for self-driving, pc imaginative and prescient, or natural language processing at scale.
- Revel in with Imitation studying, Reinforcement studying (offline/off-policy), current Neural network architectures (e.G., GPT, Diffusion), or related strategies.
- Strong historical past in designing, building, and productionizing movement making plans algorithms, state estimation algorithms, probabilistic modeling, or statistical techniques is relatively applicable.
Remote Tesla Jobs #Click #Go-Ahead ( Machine Learning Engineer )
Some Important Points to Know Before Applying To Company
- Company culture: Make sure to research the company’s culture before applying. Look for reviews from current and former employees, and check out the company’s social media pages to get a sense of their values and work environment.
- Job requirements: Make sure you meet the qualifications listed in the job description before applying. If you’re not sure, reach out to the hiring manager or recruiter to ask for clarification.
- Company values: Look for a company whose values align with your own. This will make you more motivated and engaged in your work, and will help you feel like you’re making a meaningful contribution.
- Compensation and benefits: Make sure you’re clear on the salary range and benefits package being offered. Consider factors like health insurance, retirement savings plans, and paid time off when evaluating the offer.
- Growth opportunities: Look for a company that offers opportunities for professional development and career advancement. Ask about training programs, mentoring, and opportunities to take on new responsibilities or roles.
- Reputation: Research the company’s reputation in the industry and among its customers. Look for news articles or reviews that may give you insight into how the company is perceived.
- Work-life balance: Consider the company’s approach to work-life balance. Do they offer flexible schedules or remote work options? Is there an expectation of working long hours or being constantly available?
- Diversity and inclusion: Look for a company that values diversity and inclusion. Check out their diversity statistics and see if they have any initiatives or programs aimed at creating a more inclusive workplace.
- Company performance: Look at the company’s financial performance and growth trajectory. Consider factors like revenue, profitability, and stock performance when evaluating the company’s prospects for long-term success.
- Interview preparation: Prepare thoroughly for the interview process. Research the company, review your resume and cover letter, and practice your answers to common interview questions. Be prepared to ask thoughtful questions about the company and the role.
