Published: Thu, 20 Feb 2025 22:51:10 GMT
Position: Senior Software Engineer, Generative AI
Company: Headspace
Location: This role can be remote or based in our Santa Monica, San Francisco or Seattle office
Headspace is seeking a talented Senior Software Engineer, Generative AI to join our team. In this role, you will have the opportunity to make a significant impact by developing and optimizing generative AI models that support Headspace’s mission of improving health and happiness worldwide. You will work closely with a cross-functional team of engineers, data scientists, and product teams to integrate generative AI capabilities into our products and services. This is a remote or on-site position located in our Santa Monica, San Francisco or Seattle office.
Your responsibilities will include:
– Leading the design, training, and optimization of large-scale generative AI models to support innovative use cases across Headspace.
– Owning the lifecycle of generative AI initiatives, from ideation to deployment, ensuring robust and scalable production systems.
– Building and enhancing the generative AI platform using AWS and modern development tools, with a focus on Infrastructure as Code (IaC) practices.
– Ensuring the scalability and reliability of generative AI systems by implementing robust CI/CD pipelines, monitoring solutions, and alerting systems.
– Partnering with data scientists, engineers, and product teams to integrate generative AI capabilities into Headspace’s products and services.
– Guiding and mentoring team members, fostering a culture of technical excellence and continuous learning.
Qualifications:
– Bachelor’s or advanced degree in Computer Science, Engineering, or a related technical field.
– 3+ years of software engineering experience with a focus on AI/ML systems, including developing and deploying generative models.
– Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and Python.
– Familiarity with database management and querying, such as SQL, MongoDB, or similar systems.
– Strong experience with AWS and IaC tools such as Terraform.
– Solid understanding of ML infrastructure, including data pipelines, model serving, and scaling solutions.
– Demonstrated ability to deliver impactful AI solutions in production environments.
– Hands-on experience implementing and maintaining AI/ML best practices, such as CI/CD pipelines and monitoring.
– Strong problem-solving skills with the ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
– A collaborative team player with experience mentoring peers and contributing to shared team goals.
Compensation:
The base salary range for this role is $116,645-$157,476, based on skills, experience, and qualifications. In addition to a competitive salary, Headspace offers a comprehensive Total Rewards package, including stock awards, healthcare coverage, a monthly wellness stipend, retirement savings match, lifetime Headspace membership, unlimited, free mental health coaching, generous parental leave, and more. Paid performance incentives are also included for eligible roles. Additional details about our Total Rewards package will be provided during the recruitment process.
Diversity, Equity, Inclusion, and Belonging:
Headspace values diversity and is committed to creating an inclusive and welcoming work environment for all employees. We prohibit any unlawful discrimination against job applicants on the basis of race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or any other status protected by applicable laws or regulations. We respect the laws enforced by the EEOC and strive to foster diversity in our workplace.
As an equal opportunity employer, we offer reasonable accommodations to applicants with disabilities and comply with the Americans with Disabilities Act. If you require assistance completing any forms or participating in the application or interview process, please inform our Talent team by filling out this form.
Privacy Statement:
At Headspace, we take privacy seriously and are committed to protecting your personal information. All member records are protected according to our Privacy Policy. While Headspace employees cannot access Headspace products and services, they are offered benefits according to the company’s benefit plan. To uphold ethical standards in mental health, we avoid dual relationships, which occur when a mental health care provider has a second, significantly different relationship with their client. This includes managerial relationships. Therefore, we request that individuals who have received coaching or clinical services at Headspace wait until their care is complete before applying for a position.
If a member with a Headspace account is hired, their account will be deactivated for the duration of their employment. In some cases, we may need to delay a start date or request a leave of absence to ensure ethical obligations are being met. This is to protect both the former member and any relevant individuals from their care team from any potential harm or exploitation.
For information on how we will use your personal information during the application process, please see our Applicant Notice. Apply link
