Principal Machine Learning Engineer

About SimpliSafe

SimpliSafe is a leading innovator in the home security industry, dedicated to making every home a safe home. With a mission to provide accessible and comprehensive security solutions, we design and build user-centric products that empower individuals and families to protect what matters most.

We believe in a collaborative and agile environment where learning and growth are continuous. Our teams are composed of talented individuals who are passionate about technology, security, and delivering exceptional customer experiences.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Why are we hiring?

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.

About the Role

We are seeking a highly motivated and experienced Machine Learning Engineer to join our growing Engineering team. As a key contributor, you will play a crucial role in developing and implementing cutting-edge machine learning models, with a focus on vision, audio, and text processing use cases to enhance our products and services.

Responsibilities:

• Design, develop, and deploy models to solve real-world problems in the home security domain.
• Work with key stakeholders to identify key research initiatives that can have impact to business outcomes
• Take research initiatives from idea generation to production
• Plan, adapt and execute multiple initiatives independently and through others
• Collaborate with engineers and product managers to integrate advanced machine learning capabilities into our existing systems.
• Stay up-to-date on the latest advancements in NLP/LLMs/VLMs and related fields.
• Contribute to the development of our machine learning infrastructure and tools.
• Influence team culture and exemplify best practices in applied research

Qualifications:

• MS or PhD in Computer Science, Artificial Intelligence, or a related field.
• 1+ years of experience in developing or fine-tuning and deploying LLM models such as Llama or similar
• 2+ years of experience in developing and deploying NLP models such as GPT, BERT or VLM models such as CLIP, DINO
• 5+ years of experience in developing and deploying computer vision models
• 10+ years of experience in developing production-grade machine learning solutions
• Strong understanding of transformer models, deep learning architectures, and statistical modeling techniques.
• Strong understanding of training techniques for foundational LLM and VLM models
• Skilled in Python and relevant machine learning libraries (e.g., PyTorch TensorFlow, Keras etc.).
• Experience with data preprocessing, feature engineering, and model evaluation.
• Excellent communication and collaboration skills.
• Ability to work in a fast paced environment

Bonus Points:

• Experience with speech recognition, natural language understanding, or natural language generation.
• Publication in posters, conference proceedings, journal articles, workshops etc.
• Familiarity with cloud computing platforms (e.g., AWS, GCP).
• Contributions to open-source NLP/LLM projects.

What Values You’ll Share

• Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High - Always challenging ourselves and others to raise the bar.
• No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team - Taking a highly collaborative approach to achieving success.
• Lift As We Climb - Investing in developing others and helping others around us succeed.
• Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.

What We Offer

• A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
• A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)
• Free SimpliSafe system and professional monitoring for your home.
• Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.

The target annual base pay range for this role is $210,800 to $309,100.

This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees’ job-related skills, experience, qualifications, work location, and other relevant business factors.

Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.

We’re committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact [email protected].