Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The Machine Learning Engineer role at Attis involves developing and optimizing machine learning models for next-generation wireless systems, impacting the intelligence of the company's products.
Responsibilities and impact
The engineer will create, optimize, and deploy machine learning models for interpreting complex wireless signals, working closely with hardware engineers for integration.
Compensation and benefits
The position offers a base salary up to $300,000 USD, significant equity, comprehensive health/dental/vision insurance, a company-matched 401(k), unlimited PTO, and office perks like daily catered lunches.
Experience and skills
Candidates need expert proficiency in Python and ML frameworks (preferably PyTorch), strong statistical and mathematical ML knowledge, experience with complex data sets like signals and time-series, Linux proficiency, and strong communication skills.
Work environment and culture
The company is a well-funded startup in NYC with a collaborative work style and provides a supportive office environment with amenities and unlimited PTO.
Company information
Attis is a staffing agency operating as a recruiting firm, not the direct employer of this position.
Job location and travel
The job is located on-site in New York, NY.
Application process
Applicants are instructed to apply through the job advert without additional specified steps.
Unique job features
The role involves working on cutting-edge wireless technology with hands-on model lifecycle management and integration with hardware, offering visa sponsorship and relocation assistance.
Company overview
Attis is a company that specializes in the development and commercialization of sustainable technologies and products, focusing on renewable resources and innovative solutions. They make money by offering a range of services and products that include bioplastics, biofuels, and other environmentally friendly materials, catering to industries seeking to reduce their carbon footprint. The company has a history of evolving its business model to align with advancements in green technology and sustainability trends, positioning itself as a leader in the eco-friendly sector. Candidates should be aware of Attis's commitment to sustainability and its role in pioneering eco-conscious innovations.
How to land this job
Tailor your resume to highlight expert proficiency in Python and PyTorch, emphasizing your experience with machine learning model development and deployment, especially in wireless signal processing or related time-series data.
Focus on showcasing your strong understanding of statistics and ML mathematics, as well as hands-on experience working in Linux-based environments and collaborating with hardware teams for seamless integration.
Apply through multiple channels such as Attis' corporate website, LinkedIn job postings, and other tech job boards to maximize your chances of getting noticed for this Machine Learning Engineer role.
Connect with current Attis employees in the machine learning or wireless communications divisions on LinkedIn, using ice breakers like commenting on recent company innovations in wireless systems or asking about the challenges faced in integrating ML models with hardware.
Optimize your resume for ATS by including keywords from the job description such as 'Machine Learning Engineer,' 'Python,' 'PyTorch,' 'Signal Processing,' 'Wireless Communications,' and 'Embedded AI' to ensure it passes automated screenings.
Use Jennie Johnson's Power Apply feature to automate targeted applications, keyword optimization, and LinkedIn networking outreach, allowing you to focus your time on preparing for interviews and refining your skills.
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