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In short

At Lila Sciences, data scientist, machine learning engineer and software engineer roles are the largest groups, 3 each of 13 roles at tech companies in the 90 days to Oct 16, 2026, then research scientist (2) and data engineer (1). Among roles that state years, 3 of 5 ask for at least 5 years.

What the postings ask for

Out of the 13 roles whose requirements we could read, of 13 in all. Too few to show shares, so we show counts.

Required
SkillRoles asking
Python
8 of 13
Machine Learning
5 of 13
PyTorch
5 of 13
AI Agents
3 of 13
AI Coding Tools
3 of 13
Data Modeling
3 of 13
Debugging
3 of 13
Experimentation
3 of 13
FastAPI
3 of 13
LLMs
3 of 13
Preferred
SkillRoles asking
AI
3 of 13
AI Agents
3 of 13
Open Source
3 of 13
AWS
2 of 13
AWS CloudFormation
2 of 13
CI/CD
2 of 13
Docker
2 of 13
GitHub Actions
2 of 13
Infrastructure as Code
2 of 13
Machine Learning
2 of 13

Experience

Asked most often: 2 years and 5–7 years, 2 of 5 each.

Of the 5 roles that state years

Under 2 years
0 of 5
2 years
2 of 5
3–4 years
0 of 5
5–7 years
2 of 5
8–9 years
1 of 5
10+ years
0 of 5

Degree

3 of 13 require a degree, and 5 more accept experience instead.

Of the 13 roles we could read for it

Required
3 of 13
Required, or experience instead
5 of 13
Preferred
0 of 13
Not mentioned
5 of 13

Pay and remote work

Of the 13 roles we could read for it. A median needs at least 50 roles stating pay.

Roles stating pay
13 of 13
Remote roles
0 of 13

Roles here

Other company profiles

Where Lila Sciences hires

Its 58 open postings by metro. A posting in several metros counts in each.

Not on the map

Metros

Open postings (58)

The 20 newest of 20 software and data postings, of 58 open. Every one is on the jobs pages.

Source: Lila Sciences careers (Greenhouse). Each posting opens our summary, with a link to the original.

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How we count: 13 roles in the 90 days to Oct 16, 2026, each role counted once however many boards post it. Methodology