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Sr. AI / ML Engineer

Please Note: This is a remote position available in the state listed on this job. Additionally, employment with BambooHR is contingent on passing both a background and credit check. 

Essential Job Duties

As a Senior AI/ML Engineer, your growing skills are at the intersection of software engineering, machine learning, and artificial intelligence. You’ll contribute to data-centric backend services, thoughtful abstractions and APIs, and interactive experiences such as conversational agents and interpretive tools. Code data-intensive software and algorithms.

You will:

  • Build platforms for driving intelligent decisions, interacting with machine learning models, and powering interactions such as conversational interfaces
  • Collaborate with data scientists, data engineers, data analysts, software engineers, IT specialists, and stakeholders to expand effective use of AI applications
  • Research and prove out new approaches and algorithms through prototypes
  • Ensure high quality system delivery and continually improve workflows and methods

What You Need to Get the Job Done

  • 5+ years of professional experience building data-centric software, as a machine learning engineer, AI specialist, software-focused data scientist, or similar
  • Bachelor’s Degree in Computer Science or a related technical field, with advanced degrees preferred
  • Track record as an engineer building for production, ideally with machine learning algorithms (typically Python), logic and platform services (especially in functional languages such as Clojure), and intelligent systems at scale
  • Demonstrated ability to interface data repositories / caches / pipelines, message queues, ML models, LLMs, and other services in cloud environments, especially AWS
  • Expertise with LLMs, prompt engineering, agent building, and vector databases
  • Skill collaborating using cloud-based tooling, git, notebook systems, and ML workflows

A strong contender will also demonstrate abilities to:

  • Create strong technical designs with higher-order logic and clean data structures
  • Deptly use algorithms and approaches in AI, machine learning, and NLP
  • Research and evaluate emerging tools and technologies
  • Improve workflows and MLOps
  • Have productive interactions that lift the team and stakeholders

Beyond the technical skills, we’re looking for individuals who are:

  • Clear communicators (verbal and written)
  • Able to synthesize patterns and useful abstractions
  • Conversant in underlying data structures, math, and algorithms
  • Creative in finding relevant and novel approaches
  • Productive in a dynamic setting
  • If you love to learn, you’ll be in good company. You’ll likely have a Bachelor’s or advanced degree in a quantitative field, or strong experience in professional coding and working with data.

What You'll Love About Us

  • Great Company Culture. We’ve been recognized by multiple organizations like Inc, Salt Lake Tribune, Glassdoor,  & Comparably for our great workplace culture.
  • Make an Impact. We care about your individuality by giving you freedom to grow and create within the company, regardless of your position.
  • Rest and Relaxation. 4 weeks paid time off, 11 paid holidays, and we pay you to go on vacation (ask us about this)!
  • Health Benefits. Medical with HSA and FSA options, dental, and vision.
  • Prepare for the Future. 401(k) with a generous company match, access to a personal financial planner, and both legal and life insurance.
  • Financial Peace University. We pay for a one year subscription and you walk away with financial savvy and a bonus.
  • Give back.  Get paid to give your time to the community: ask us about this!
  • Educational BenefitsWhether you are a previous student, or currently enrolled in higher education, we can help cover some of those expenses.
  • Amazing Office Amenities. We’ve got incredible benefits at our Draper headquarters including a full size gym, pickleball courts, a great office cafe, and free fountain drinks! Ask us more about our office!
  • In-Person Onboarding! All new hires get to experience our in-person onboarding class, Bamboo Beginnings, at our Draper, UT headquarters! Ask us more about Bamboo Beginnings!
  • Flexible Work Models. In-office, work-from-home, or hybrid, depending on position and location.

 

About Us

Our mission is simple: we want to set people free to do meaningful work. People love our software—and it turns out that people love working here too. We've been recognized as a "Best Company to Work For” and we're proud of our team for creating software that makes an impact in the lives of HR pros and employees all over the world.

Review

BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know.

BambooHR is An Equal Opportunity Employer--M/F/D/V
Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.

For information on California Privacy Policy, click here.

Average salary estimate

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Sr. AI / ML Engineer, BambooHR

As a Senior AI/ML Engineer at BambooHR, you will be at the forefront of innovative technologies in a dynamic, remote working environment right here in Utah. Your extensive experience in software engineering, AI, and machine learning will play a pivotal role in shaping the future of our products. Imagine creating intelligent decision-making platforms, crafting APIs, and developing conversational agents that enhance user experience. You’ll collaborate with a talented team of data scientists, engineers, and analysts to evolve our AI applications, all while driving quality systems delivery and refining our workflows. With your robust background—preferably 5+ years of hands-on experience in data-centric software—you’ll leverage your knowledge of Python, LLMs, and cloud computing in AWS to develop algorithms that work seamlessly at scale. This isn’t just about coding; it’s about generating impactful solutions that help our users feel supported and empowered. At BambooHR, we value creativity and clear communication as much as technical prowess. If you’re someone who loves to learn and innovate in a collaborative atmosphere, you’ll fit right in. Our commitment to professional growth means your contributions will not only be recognized but also celebrated. Let’s create extraordinary tools that drive results together!

Frequently Asked Questions (FAQs) for Sr. AI / ML Engineer Role at BambooHR
What does a Senior AI/ML Engineer do at BambooHR?

At BambooHR, the Senior AI/ML Engineer is responsible for developing and enhancing AI-driven applications and platforms. This role involves collaborating with various teams to build efficient algorithms, APIs, and data-centric solutions that drive intelligent decision-making within our products.

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What qualifications do I need to become a Senior AI/ML Engineer at BambooHR?

To qualify for the Senior AI/ML Engineer position at BambooHR, candidates should have 5+ years of experience in building data-centric software. A Bachelor's degree in Computer Science or a related field is required, with advanced degrees preferred. Proficiency in machine learning algorithms, Python, and AWS is important.

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Is the Senior AI/ML Engineer position at BambooHR remote?

Yes, the Senior AI/ML Engineer role at BambooHR is fully remote, allowing you to work from anywhere within the state of Utah. This flexibility supports a work-life balance that we highly value.

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What technologies will I work with as a Senior AI/ML Engineer at BambooHR?

In the Senior AI/ML Engineer role at BambooHR, you'll work with technologies including Python for machine learning, cloud services like AWS, and focus on LLMs and prompt engineering. You will also engage with various data structures, algorithms, and ML workflows.

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What is the company culture like at BambooHR for a Senior AI/ML Engineer?

BambooHR has an inclusive and supportive company culture. As a Senior AI/ML Engineer, you will be encouraged to express your creativity and contribute ideas that can be transformative for the company. We pride ourselves on fostering a great workplace atmosphere.

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What kind of team will I be working with as a Senior AI/ML Engineer at BambooHR?

At BambooHR, you will be collaborating with a diverse team of data scientists, software engineers, and IT specialists. The collaborative environment encourages sharing of ideas and innovative problem-solving to enhance our AI applications.

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What opportunities for growth are available for a Senior AI/ML Engineer at BambooHR?

As a Senior AI/ML Engineer at BambooHR, there are numerous opportunities for professional growth. We provide resources for continuous learning, mentorship from skilled professionals, and initiatives to take on new challenges within the company.

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Common Interview Questions for Sr. AI / ML Engineer
Can you describe your experience with machine learning algorithms in a production environment?

Make sure to provide specific examples of projects where you implemented machine learning algorithms, the challenges you faced, and the results achieved. Be clear about the technologies used and any optimizations made to ensure performance at scale.

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How do you approach building and deploying models in cloud environments, specifically AWS?

Discuss your familiarity with AWS services such as S3, EC2, and SageMaker, focusing on how you integratively use them to manage and deploy machine learning models efficiently. Highlight any specific challenges and how you overcame them.

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What strategies do you utilize for prompt engineering and working with LLMs?

Explain your understanding of prompt engineering within LLMs. Share practical experiences with generating high-quality prompts that result in improved model performance, and any experiments you conducted to optimize this process.

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Explain how you've improved workflows or MLOps in your previous roles.

Offer examples of workflows you’ve streamlined, tools you’ve implemented for automation, and how these changes positively impacted team productivity and project timelines. Highlight any frameworks or methodologies you applied.

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Describe a time you collaborated with cross-functional teams to implement an AI solution.

Use the STAR method (Situation, Task, Action, Result) to articulate a specific project involving collaboration with data scientists or software developers, detailing your role and the knowledge shared among teams for successful implementation.

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What data structures do you find most useful when handling large datasets?

Discuss your experience with data structures such as arrays, hash tables, or graphs, based on the specific data scenarios. Emphasize any relevant coding examples that display your application of the chosen structures in optimizing data processing.

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Can you explain a complex technical concept to a non-technical audience?

Choose a complex project you’ve worked on and simplify the explanation. Use analogies and avoid jargon, demonstrating your ability to communicate effectively with stakeholders who may not have a technical background.

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How do you stay updated on the latest trends in AI and machine learning?

Mention specific courses, conferences, and online platforms you use to learn about advancements in the field, as well as communities where you share and gain knowledge. This reflects your commitment to continuous learning.

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What tools do you prefer for version control and collaboration in AI projects?

Talk about your preferred version control systems like Git and any collaborative platforms like Jupyter notebooks or cloud-based tools that facilitate team engagement and efficient updates in AI project workflows.

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How do you handle project setbacks, especially in AI model development?

Discuss a specific setback in a project and the steps taken to analyze the failure. Highlight how you pivoted, the lessons learned, and modifications you implemented to enhance future project success.

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Set people free to do great work. By people, we mean everyone—HR pros, employees, and entire organizations. We’ve seen what a workplace free from unnecessary processes, workplace politics, and other hold-ups can do: build award-winning products, ...

90 jobs
MATCH
VIEW MATCH
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$120,000/yr - $160,000/yr
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
November 27, 2024

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