Associate Director, Machine Learning (Core Algorithms)

United States Digital Space LLC; Boston (MA); On-site; USD 200,000 - 245,000; Full time

Benefits offered by this job

Equity

Relocation assistance

Job summary

United States Digital Space LLC in Boston, MA is seeking an Associate Director, Core Algorithms (Cloud) to lead the cloud-based ML teams responsible for sleep, recovery, and training insights for members.

You will own the technical vision, drive production-grade algorithms, partner with ML Platform, Sensor Intelligence, and Hardware groups, and scale an ML organization while focusing on user outcomes and robust development practices.

Qualifications

• 8+ years of experience in ML or applied data science for consumer products.
• 4+ years of people leadership directly managing ML scientists/engineers.
• Experience scaling a production ML organization to improve velocity, reliability, and rigor.
• Deep product sense: translate ML into meaningful user outcomes.
• Ability to evaluate designs, guide architecture, and ensure system-level quality.
• Experience defining and driving cross-functional programs with engineering, product, and science partners.
• Strong communication skills to translate ML concepts to diverse audiences.
• Preferred: experience with physiological or wearable sensor data.

Responsibilities

• Lead the cloud ML team responsible for sleep, recovery, and training algorithms.
• Directly manage applied ML scientists and ML engineers; coach and develop leaders.
• Establish processes and standards ensuring rigor from research through deployment; participate in designs when needed.
• Drive the vision for company algorithms and sensor capabilities, improving member experience.
• Ensure algorithms stay compatible with future hardware generations; collaborate with Sensor Intelligence and Hardware.
• Establish and improve lifecycle practices: experiment management, model validation, deployment pipelines, and monitoring.
• Partner with ML Platform / MLOps to drive maturity across experiment tracking, model monitoring, deployment, and observability.
• Drive cross-functional alignment with Sensor Intelligence, Product, Software Eng, and Research teams.

Skills

Machine Learning

Leadership

Cloud ML

Production ML

Product sense

System design

Cross-functional collaboration

Wearable data

Job description

At the company, we're on a mission to unlock human performance and healthspan. the company empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives.

We are seeking an Associate Director, Core Algorithms (Cloud) to lead the teams responsible for the company's cloud-based algorithmic intelligence — the models and systems that transform physiological data into the sleep, recovery, and training insights our members rely on daily. This role is also responsible for ensuring our cloud algorithms evolve alongside the company hardware, partnering with Sensor Intelligence and Hardware teams to translate new sensor capabilities into production‑grade algorithmic experiences.

You will own the technical vision, execution, and organizational health of this team. You'll drive the evolution of our core production algorithms such as workout detection, strain, and sleep staging toward higher accuracy, better member experiences, and more mature development practices. You will partner closely with ML Platform, Sensor Intelligence, Research, Product, and Software Engineering to define what the company algorithms can enable — not just how they perform technically, but how they show up for members.

This is a role for someone who has built and shipped physiological ML at scale in a consumer product, who has a deep product instinct for what algorithms mean to end users, and who knows how to elevate an ML organization's practices: raising the bar on tooling, processes, and standards to match the ambition of the work.

RESPONSIBILITIES

• Lead the cloud ML team responsible for the algorithms powering sleep, recovery, and training

• Directly manage applied ML scientists and ML engineers; provide coaching, career development, and performance feedback that grows individual contributors into strong technical leaders

• Ensure the technical quality bar for algorithm development is maintained by establishing the processes, reviews, and standards that guarantee rigor from research through deployment, and diving into designs and architectural decisions where necessary

• Help drive the vision for what the company algorithms and next‑generation sensors can enable; advocate for member experience and push the boundaries of what our data makes possible

• Ensure cloud algorithms remain compatible with future hardware generations; partner with Sensor Intelligence and Hardware to evolve proof‑of‑concept algorithms that leverage new sensor capabilities and bring them to production readiness

• Establish and improve development lifecycle practices: experiment management, model validation, deployment pipelines, and production monitoring

• Partner with ML Platform / MLOps to define requirements and drive maturity improvements across experiment tracking, model monitoring, deployment automation, and observability

• Drive cross‑functional alignment with Sensor Intelligence, Product, Software Engineering, and Research teams

QUALIFICATIONS

• 8+ years of experience in machine learning or applied data science, with hands‑on experience developing and shipping ML models for a consumer product

• 4+ years of people leadership experience directly managing machine learning scientists/engineers, with demonstrated growth of team members and a track record of building high‑performing teams

• Experience scaling a production ML organization: growing teams and leaders, identifying gaps in the development lifecycle, and driving improvements that increase velocity, reliability, and rigor

• Deep product sense: ability to think about algorithms from the member's perspective, drive the vision for what algorithms can enable, and ensure the team is building toward meaningful user outcomes

• Ability to evaluate technical designs, guide architectural decisions, and ensure quality at the system level, without needing to write code day‑to‑day

• Experience defining and driving cross‑functional programs with engineering, product, and science partners

• Strong communication skills with the ability to translate complex ML concepts to diverse audiences including product, engineering, and executive stakeholders

PREFERRED

• Experience building algorithms using physiological or wearable sensor data (e.g., PPG, accelerometer, temperature, bioimpedance)

• Experience managing through hardware‑coupled development timelines where sensor availability and device generations constrain algorithm roadmaps

• Familiarity with time‑series modeling, sequential data, and the specific challenges of continuous physiological monitoring

This role is based in the the company office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

the company is an Equal Opportunity Employer and participates inE-verifyto determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

At the company, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long‑term success of the company and allows every member of our corporate team to own part of the company and share in the company’s long‑term growth and success.

The U.S. base salary range for this full‑time position is $200,000-$245,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job‑related skills, experience, performance, and relevant education or training.

• In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Learn more aboutthe company.