Lead Software Engineer-AI/ML

Lead Software Engineer-AI/ML

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Primary skills: Python or R, with emphasis on libraries from Pytorch, HuggingFace, and pandas

Job Description:

The Lead Software Engineer is a key technical contributor in the design and development of state-of-the-art ML for medical applications. The Lead Software Engineer works closely with ML engineers, research linguists, software engineers and subject matter experts on current company technologies and forward-looking projects. Lead Engineers initiate and lead new research initiatives into unexplored modeling approaches, mentoring and guiding teams to adopt new technologies.

Primary Responsibilities:

Initiate and drive novel method development in machine learning from first principles to deployed solutions

Provide innovative modifications and extensions to existing deep learning and statistical learning architectures

Perform independent statistical inquiry into new areas and identify growth points and areas of untapped information

Partner with Engineering, Business and Technical Product to make and meet project commitments in an agile framework; rapidly delivering value to our customers via technology solutions

Mentor junior data scientists to successfully deliver software and business value

Responsible for continuous improvement for alerts, monitors and telemetry

Communicate with stakeholders, subject matter experts, and colleagues to identify new means of approaching problems in the medical coding field

Design novel methods in machine learning and launch them to production with the help of data engineers and deployment software engineers

Perform independent analysis of trends in medical coding and production performance of statistical models

Demonstrate leadership in the context of machine learning engineering and direct the research direction of a multidisciplinary team focused on deep learning and LLM approaches

Stay abreast of leading-edge technologies in machine learning and deep learning, participate and lead in research talks and white paper reviews

Participate in research meant to ensure alignment of models to ethical standards to ensure machine learning models perform without harm to users

Required Qualifications:

10+ years of experience in machine learning or data science: data analysis, algorithm design, model architecture specification, machine learning algorithm implementation

8+ years of coding experience with Python or R, with emphasis on libraries from Pytorch, HuggingFace, and pandas

2+ years of experience leading development in a data science focused team using deep learning architectures

2+ years of experience in machine learning model development, transformer architectures, data trend analysis

2+ years of experience digesting and implementing research from primary literature or white paper resources

1+ years of production experience with cloud and big data technologies

1+ years of agile development experience

Legally authorized to work in the US without any restrictions. Proof will be required

Preferred Qualifications:

M.S. or PhD in a computational domain

Publication history in deep learning or statistical domain

Experience with SQL databases and query language

Experience in AzureML, AWS, or cluster computing architectures

Experience with Hybrid NLP solutions that combine symbolic and machine learning approaches

Experience with XML and XSLT

Healthcare domain background

IT full-stack engineering experience

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $150,000 - $180,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits:

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Fractal Doesn’t offer any sponsorship at this time.